It’s 9:30 PM in Mumbai.

A young founder launches a sneaker brand. Within minutes, her ads are live, not negotiated, not manually placed, but algorithmically auctioned across apps, OTT platforms, and mobile screens.

By midnight, she knows exactly which audience in Lucknow clicked, which user in Kochi converted, and which creative worked best in Hindi vs Tamil.

This is not the future of advertising in India.
This is now.

India’s AdTech ecosystem has quietly transformed from a fragmented, media-buying engine into one of the most sophisticated, data-driven marketing infrastructures in the world. With the market touching nearly $ 200 million in 2025 and continuing to grow rapidly, AdTech is no longer a support system – it is the backbone of fast-forward marketing.

And yet, beneath this scale lies a deeper shift – from volume to value, from reach to relevance, and from experimentation to execution.

Here are the top AdTech trends in India that no marketer, founder, or investor can afford to ignore.

1. The Programmatic Takeover

A few years ago, media buying in India was about relationships and negotiations. Today, it’s about algorithms.

Programmatic advertising now accounts for over 40% of digital media buying in India, fundamentally changing how campaigns are executed.

What’s driving this?

This transformation is being powered by a combination of technologies – real-time bidding that enables instant, data-driven media buying, large-scale audience segmentation that allows brands to target highly specific consumer cohorts, and AI-led optimisation that continuously refines campaigns for better performance and efficiency. Together, these forces are shifting advertising from broad outreach to precise, intelligent engagement.

Case in point:

A leading Indian fintech brand shifted 70% of its media spend to programmatic platforms. Instead of targeting “urban millennials,” it began targeting “users who checked loan eligibility twice in 48 hours.”

Conversion rates improved by over 2x – not because of higher spend, but better precision.

What it means:

Programmatic is no longer optional. It is becoming the operating system of digital advertising in India, with the market projected to reach $17.6 billion by 2033.

2. AI is Infrastructure

For years, AI sat in presentations. In 2025, it moved into production.

From generating creatives to fine-tuning bids, AI is now deeply woven into every layer of the AdTech stack – powering predictive targeting, enabling dynamic creative optimisation (DCO), and automating budget allocation to drive smarter, more efficient campaign outcomes.

The shift:

Earlier: “Let’s test 5 creatives.”
Now: “Let AI generate and optimise 500 variations in real time.”

India’s AdTech growth is heavily fuelled by AI and machine learning, enabling hyper-personalised campaigns and real-time optimisation.

Case study:

An Indian D2C beauty brand used AI-led creative testing across regional languages. Instead of one campaign, it ran 120+ micro-variants tailored to geography and language.

Result:

• 35% higher engagement
• 22% lower cost per acquisition (CPA)

3. The Rise of Connected TV (CTV)

The Indian living room has changed.

Smart TVs, OTT platforms, and cheap data have turned video into the most powerful advertising medium in the country.

Why this matters:
India may be mobile-first, but it is rapidly becoming a video-led market. As consumer behaviour shifts, brands are moving toward richer, immersive storytelling that combines sight, sound, and motion. This evolution is reflected in industry trends, where video and CTV are emerging as some of the fastest-growing segments in both the Indian and global AdTech landscape.

Case study:

A leading FMCG brand traditionally reliant on TV shifted part of its budget to OTT platforms.

Instead of broad TV reach:

• It targeted households watching cooking content
• Served region-specific ads during prime OTT hours

Result:

• Better recall
• Measurable attribution – which TV never offered

The implication:

CTV is blurring the lines between digital and traditional media – bringing performance marketing into the living room.

4. Privacy-First Advertising

For years, AdTech thrived on tracking users across the internet. That era is ending.

With global privacy regulations tightening and platforms restricting third-party cookies, India is entering a privacy-first AdTech era.

What’s taking shape:
The ecosystem is moving toward first-party data strategies, the adoption of data clean rooms, and a renewed focus on contextual targeting. At its core, the shift reflects a broader transition to consent-led frameworks and privacy-first approaches to audience targeting.

Case study:

An Indian e-commerce platform built its own first-party data ecosystem:

• Loyalty programs
• App-based engagement
• Email + WhatsApp integrations

Instead of relying on third-party cookies, it built direct relationships with users.

Outcome:

• Higher data accuracy
• Better personalization
• Reduced dependency on external platforms

5. Retail Media Networks – Where Ads Meet Commerce

If there’s one trend redefining ROI in AdTech – it’s retail media.

E-commerce platforms are no longer just selling products. They are selling advertising inventory.

Why this is gaining rapid momentum:
Ads are now being delivered much closer to the point of purchase intent, platforms are leveraging rich first-party data, and attribution has become far more transparent and measurable.

Case study:

An Indian electronics brand advertising on a major marketplace:

• Sponsored listings during search
• Display ads on product pages
• Retargeting within the platform

Result:

• Immediate visibility
• Direct sales attribution
• Measurable ROI

The macro shift:

AdTech is merging with commerce.
The funnel is collapsing – moving from awareness to purchase in a single platform.

6. Tier 2 – 4 India: The Next Billion Users

The next wave of digital growth in India is not in metros—it’s in Bharat.

Regional language content and consumption are exploding, especially across:

• Short video platforms
• OTT apps
• News and entertainment ecosystems

What this implies for AdTech:
It calls for multilingual targeting capabilities, localised creative optimisation, and messaging that is deeply rooted in regional and cultural contexts. Programmatic demand is increasingly driven by regional content consumption across Tier 2 – 4 cities.

Case study:

A fintech app launched campaigns in 6 Indian languages instead of English-only.

Outcome:

• 3x increase in installs from non-metro cities
• Lower acquisition cost due to less competition

The insight:

India isn’t a single, uniform market- it’s a mosaic of diverse micro-markets. AdTech is now empowering brands to deliver personalised experiences at scale across this complexity.

7. Measurement, Attribution & the Death of Vanity Metrics

In 2025, something fundamental changed.

The industry realized:
More impressions ≠ More value

As ad spend grew, confidence in metrics such as clicks and impressions declined.

What’s taking their place:
Marketers are shifting toward incrementality testing, Multi-Touch Attribution (MTA), attention-based metrics, and a sharper focus on ROI-driven measurement.

Case study:

A gaming company in India moved away from install-based attribution to Lifetime Value (LTV) tracking.

Instead of optimising for installs, it optimised for:

• In-app purchases
• Retention
• Engagement

Result:

• Higher profitability
• Lower churn

Finally

 The rise of full-stack AdTech ecosystems marks a fundamental shift in how brands operate; moving away from heavy reliance on walled gardens toward owning and integrating their data, media, and analytics capabilities.

This transition is driven by the need for greater transparency, cost efficiency, and control over customer data. In a maturing and increasingly competitive landscape shaped by both global giants and strong homegrown players, brands are building in-house capabilities, from CDPs to programmatic teams and analytics dashboards.

The result is faster optimisation, reduced dependency on external partners, and sharper performance outcomes. At its core, this signals a larger transformation: brands are no longer just advertisers – they are becoming media companies in their own right.

Let’s go back to that founder in Mumbai.

She didn’t just launch a campaign.

She plugged into an ecosystem that learns in real time, seamlessly adapts across languages, optimises performance across platforms, and tracks every outcome with precision. That is the power of AdTech in India today.

India’s new advertising reality – the difference between noise and impact is no longer budget. It is intelligence.

The post Inside India’s AdTech Awakening: Trends Changing Everything. appeared first on Fixbracket.

New updates have come from Google. The ChatGPT competitor, Google Bard, is now rebranded as Gemini. There are many speculations as to why the name Gemini has been chosen.

Some people believe it’s because of the zodiac sign, symbolizing duality, while others (technical professionals) affirm that Gemini is the name of the underlying technology behind this Google chatbot.

Let’s get started with this article, in which we’ll discuss what Google’s CEO, Sundar Pichai updated about Gemini (formerly Bard), and the reasons behind this development.

What Google CEO, Sundar Pichai Said

Google recently declared a series of alterations in a blog post, encompassing the rebranding of its Bard AI chatbot to Gemini, the debut of a fresh Gemini app, and the revelation of its Gemini Ultra large language model bundled with a premium subscription.

Nevertheless, following the announcement, users have been pondering why Google opted for the significant move of renaming its well-received chatbot to Gemini.

Now, CEO Sundar Pichai has elucidated the matter during his latest interaction.

                                                                                                   Google CEO – Sundar Pichai

(source: The Guardian)

Unveiling the rationale behind the name alteration in a discussion with CNBC, Pichai remarked,

“For us, Gemini is our approach overall in terms of how we are building our most capable and safe AI model and Bard was the most direct way that people could interact with our models so it really made sense to just evolve it to be Gemini because you are talking directly to the underlying Gemini model when you use it.”

 

“I think it will also be the way by which we will keep advancing our models and users can experience it directly, so we thought the name change made sense. “

Why Gemini?

Alphabet’s Google (GOOGL) is renaming its Bard artificial intelligence (AI) chatbot as Gemini, while also introducing a mobile application and subscription model for an enhanced version of the tool, a strategic maneuver aimed at enhancing its competitive edge against adversaries.

Dubbed Gemini, after Google’s potent suite of AI models empowering the tool, the revamped version is now accessible in over 40 languages through a mobile app compatible with Android and iOS devices.

This initiative is poised to bolster Google’s competitiveness against the premium paid variants of OpenAI’s ChatGPT and Microsoft’s (MSFT) Copilot, while also distancing Gemini’s enhanced offerings from the earlier criticism directed at Bard’s performance.

What Is Gemini Advanced?

Today, a new offering called Gemini Advanced is being introduced, presenting users with access to Ultra 1.0, acknowledged as the most extensive and proficient AI model available. In impartial assessments conducted by third-party evaluators, Gemini Advanced featuring Ultra 1.0 emerges as the favored chatbot in comparison to other prominent alternatives.

Not only does Gemini Advanced facilitate prolonged and detailed conversations, but it also demonstrates improved comprehension of context derived from previous interactions. For instance:

• Acting as a personal tutor, Gemini Advanced can furnish tailored step-by-step instructions, sample quizzes, or engage in dialogue tailored to individual learning preferences.
• It aids users in tackling advanced coding challenges, functioning as a sounding board for ideas, and assisting in the evaluation of various coding methodologies.
• For digital creators, it streamlines the process from conceptualization to realization by generating original content, analyzing current trends, and ideating strategies to enhance audience engagement.

Gemini Advanced becomes accessible within the newly introduced Google One AI Premium Plan priced at $19.99 per month, commencing with a complimentary two-month trial period. This particular scheme offers users an amalgamation of Google AI’s finest features and its most recent innovations, alongside the full spectrum of advantages from the prevailing Google One Premium plan, inclusive of a 2TB storage capacity. Furthermore, subscribers to the AI Premium tier will imminently gain access to Gemini across various platforms such as Gmail, Docs, Slides, Sheets, and others, formerly recognized as Duet AI.

Android & iOS Compatibility Is A Game Changer

Using Gemini on Android

On Android, Gemini represents a fresh form of assistant leveraging generative AI to collaborate with users and assist them in completing tasks.

If one downloads the Gemini application or chooses to participate via Google Assistant, access to it becomes available not only through the app but also through the usual activation methods for Google Assistant, such as pressing the power button or swiping the corner on compatible phones, or using the “Hey Google” command. This facilitates a novel overlay experience that grants convenient entry to Gemini and furnishes contextual assistance directly on the screen.

This functionality allows users, for instance, to generate captions for recently captured images or inquire about articles they are reading.

Numerous Google Assistant voice functionalities will be accessible via the Gemini app, encompassing tasks like setting timers, making calls, and managing smart home devices.

Additionally, efforts are underway to expand support for more features in the future.

iOS

On iOS, access to Gemini will soon be integrated directly within the Google app. Users will simply need to toggle the Gemini feature and engage with Gemini to enhance their creativity, craft personalized images, receive assistance with social media content, and even organize a date night, all within the convenience of the Google app. The team eagerly anticipates users’ experiences with this new feature.

Conclusion

In conclusion, the recent updates from Google regarding the rebranding of its AI chatbot to Gemini, alongside the introduction of the Gemini app and subscription model, mark a significant stride in enhancing its competitive stance within the AI landscape.

With Gemini Advanced showcasing formidable capabilities and accessibility across Android and soon iOS platforms, Google aims to empower users with innovative solutions while keeping pace with evolving technological demands.

As Gemini unfolds its potential, users can anticipate a transformative experience harnessing the power of AI to streamline tasks and stimulate creativity.

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The post Why is Google Bard rebranded Gemini? appeared first on Fixbracket.

In this article, we’ll cover what deepfakes are, how they work, and what are the dangers we can expect from deepfakes.

Let’s dive right into it!

What Are Deepfakes or Deepfake AI?

Deepfakes or Deepfake AI is a type of artificial intelligence that crafts convincing fake images, audio, and videos by merging the power of “deep learning” with the concept of generating deceptive content.

This technology can seamlessly substitute one individual for another in pre-existing content or fabricate entirely new material, portraying people engaging in actions or uttering words they never actually did.

The primary concern with deepfakes stems from their capacity to disseminate misinformation that appears authentic.

How Are Deepfakes Created?

Deepfakes are created using a sophisticated process that involves intricate algorithms and neural networks.

One common technique utilizes a type of neural network called an autoencoder. An autoencoder consists of an encoder and a decoder.

The encoder takes an input, such as an image or video frame, and compresses it into a condensed representation called a latent space. This latent space contains essential features of the input but in a more compact form. The decoder then reconstructs the original input from this condensed representation. In the context of deepfakes, the autoencoder is trained on a vast dataset of real images, allowing it to learn the distinctive features of human faces.

Another key approach involves the use of Generative Adversarial Networks (GANs). A GAN consists of a generator and a discriminator

The generator generates synthetic content, such as a fake image or video frame, while the discriminator evaluates whether the content is real or generated. The generator continually refines its output to fool the discriminator, and the discriminator becomes adept at distinguishing real from fake.

These techniques are combined.

Role of GAN in Deepfake AI

The generator, often based on a GAN, produces realistic content by learning from the patterns and features identified by the autoencoder. The discriminator helps refine the generated content, making it more convincing.

This intricate interplay between autoencoders and GANs allows deepfake algorithms to create highly convincing fake media, replacing faces in videos or generating entirely new content that can be challenging to differentiate from reality. The continuous refinement of these algorithms contributes to the growing sophistication of deepfake technology.

How Do Deepfakes Work?

As touched upon earlier, Deepfakes replicate facial and expressive data in a manner not easily discernible to the naked eye. On the other hand, Generative Adversarial Networks (GANs) generate data through deep learning, employing both generators and discriminators.

Presently, there are applications like DeepFaceLab that autonomously learn from provided inputs, meticulously capturing facial expressions layer by layer to manipulate data effectively.

In essence, it functions as a video editing tool, seamlessly integrating with the original video to replace faces as desired.

Although achieving higher accuracy will require additional time, the technology is already gaining substantial traction in the film and entertainment industries. Moreover, marketers are exploring its potential for creating diverse promotional content without the need for hiring models or actors.

Additionally, there are smaller-scale project applications utilizing Deepfake technology for amusing face-swapping and the creation of humorous videos.

Some Common Use Cases of Deepfake AI

The versatility of deepfakes extends across various domains:

Entertainment: Deepfakes add a touch of amusement in satire and parody, offering viewers a dose of humor even when they recognize the content’s fictional nature.

Caller Services & Customer Support: In the realm of caller response services, deepfakes step in to provide tailored and personalized responses, especially in scenarios involving call forwarding and receptionist duties. They are also leveraged in customer phone support, incorporating fake voices for routine tasks like checking account balances and addressing complaints.

Fraud and Blackmailing: The darker side sees deepfakes being misused to impersonate individuals, aiming to illicitly acquire sensitive personal information such as bank accounts and credit card details. Additionally, these deceptive techniques find application in activities like blackmail, reputation damage, and cyberbullying.

Misinformation and Political Manipulation: The realm of deepfake videos extends to the manipulation of public opinion, where politicians or trusted figures are featured in fabricated scenarios. This unsettling trend has the potential to significantly impact political discourse, injecting an element of misinformation and influencing the perspectives of the public.

How Deepfake AI Poses Cybersecurity Threats

As we march ahead, technology is advancing rapidly and becoming increasingly accessible worldwide. Consider smartphones as an example – we’ve seen the evolution from keypads to touchscreens, and from passcodes to face unlock.

It’s intriguing how a seemingly innocuous video, when manipulated or misused, can sow chaos. The internet hosts videos that blur the line between reality and fiction. Despite the difficulty in discerning their authenticity, subtle details like facial structure, expressions, and iris features enhance their realism.

This underscores the looming threat of deepfakes to cybersecurity.

To counteract such risks, various governments have enacted laws targeting this technology, aiming to prevent its malicious use.

In 2019, the World Intellectual Property Organization (WIPO) took a stand by submitting a draft that specifically addresses the challenges posed by deepfakes and proposes measures to address them.

How Dangerous Are Deepfakes?

Deepfakes, while generally operating within legal boundaries, pose significant risks that span various areas:

1. There’s a potential for blackmail and damage to someone’s reputation, potentially leading to legal challenges for the individuals affected.

2. The dissemination of political disinformation becomes a concern, especially when threat actors from nation-states leverage this technology for malicious purposes.

3. Elections could face interference, manifesting as the creation of fabricated videos featuring candidates, raising concerns about the integrity of the democratic process.

4. Stock markets may be susceptible to manipulation, with counterfeit content created to influence stock prices, posing potential economic risks.

5. Instances of fraud may arise, involving the impersonation of individuals to illicitly access financial accounts and other personally identifiable information (PII). These risks collectively underscore the need for vigilance and regulatory measures in managing the impact of deepfake technology.

The Real Dangers of Deepfake AI

DeepFakes are currently employed across a spectrum of applications, encompassing the amusing, the questionable, and the potentially harmful. Numerous videos crafted through DeepFake technology exist purely for entertainment purposes without posing any harm.

Take, for instance, the amusing scenario of Jon Snow expressing remorse for Game of Thrones. Moreover, DeepFakes have found their way into the film industry, as seen when a youthful version of Harrison Ford was seamlessly integrated into Han Solo’s character in Solo: A Star Wars Story.

However, there’s an escalating trend in the malevolent use of DeepFakes.

Shockingly, around 96% of DeepFakes circulating online fall into the explicit category, featuring manipulated images of celebrities or well-known women overlaid onto the faces of adult film actors. This poses a significant threat, particularly to women who become unintended targets of such deceitful practices.

Looking ahead, the growing menace of DeepFakes extends beyond explicit content. A looming concern is the erosion of trust in visual and auditory information.

Distinguishing between authentic and manipulated photos or videos is becoming increasingly challenging. This erosion of trust carries substantial implications; for instance, legal proceedings may encounter difficulties in verifying the authenticity of evidence.

Furthermore, DeepFakes pose a potential threat to security systems relying on facial or voice recognition. As technology advances, there’s a risk that these systems could be deceived by sophisticated DeepFake manipulations.

The unsettling prospect of not being able to discern whether a person on the other end of a phone call is genuine or merely a voice-and-face emulation created through DeepFake technology adds another layer of concern to the evolving landscape of digital deception.

How to Spot A Deepfake?

Spotting deepfakes has become increasingly challenging due to the advancing sophistication of the technology behind their creation.

Back in 2018, a U.S. research team illustrated that deepfake faces lacked the natural blinking observed in humans, offering a promising method for distinguishing real from fake images and videos.

However, as soon as this insight was shared, deepfake creators promptly addressed the issue, refining their technology to make detection even more formidable. Ironically, efforts to develop tools for identifying deepfakes often unintentionally contribute to the improvement of deepfake technology itself.

For the average person, recognizing a deepfake without the aid of Artificial Intelligence can be an arduous task. Yet, a discerning eye can still catch telltale signs of fakery. Mismatched ears, teeth, and eyes with the facial outline, inconsistent lip-syncing, difficulty in replicating individual strands of hair, and an unnaturally smooth facial appearance are common red flags.

Nevertheless, the relentless progress in technology is making it increasingly challenging to distinguish deepfakes from reality, as they continually evolve to appear more authentic.

In this scenario, the role of spotting deepfakes is gradually shifting towards Artificial Intelligence, with major tech companies heavily investing in the development of technologies capable of identifying these deceptive creations in photos and videos.

Conclusion

The rise of deep fakes is considered a significant societal threat owing to their capacity to generate deceptive content. Various governmental bodies have enacted legislation to tackle these issues.

As technology advances, it becomes increasingly sophisticated, emphasizing the importance of ethical usage.

Prominent figures in leadership express genuine concern about the 21st-century peril posed by AI, particularly deepfake technology. The apprehension stems from its potential for malicious purposes, such as deceit and manipulation. As AI evolves, it is crucial to exercise caution, ensuring its responsible and secure utilization.

Establishing and enforcing rules is imperative to prevent harm caused by its misuse in our global community.

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The post What Are Deepfakes And Why Are They Dangerous? appeared first on Fixbracket.

Everyone’s talking about AI in business.

It’s everywhere, and we’re getting hit with all these new AI tools and apps. Trying to keep up with the latest trends is like trying to catch a greased pig – tough. And figuring out which tools are worth using. That’s a whole other challenge.

But here’s the deal – AI isn’t a magic fix. It’s got its own set of problems, especially when we’re talking about AI in business.

I’ve never gotten anything from GPT that I’d proudly slap down word-for-word anywhere. It’s always a combo of human brainpower and tech. AI can toss out ideas, but it’s on us to fine-tune and perfect those ideas. It’s a partnership thing.

In this article, we will discuss the role of AI in business and the ethical issues that will arise when AI starts penetrating business operations deeply.

How Deeply Has AI Penetrated Business Operations?

                                                                                                               How harmful is AI?

Alright, so let’s dive into this whole AI in business thing. It’s like AI has set up camp in the very fabric of how businesses operate these days. From crunching numbers to customer service, AI’s got its fingers in every pie.

Take ChatGPT, for example. It’s like your virtual brainstorming buddy.

You throw a question its way, and it dishes out ideas like a brainstorming session on steroids. But here’s the kicker – it’s not about letting AI take the wheel entirely. No, sir. It’s about teaming up, like Batman and Robin. You get the AI to shoot out some killer ideas, and then it’s over to you to polish them up, add that human touch, and make them shine.

AI Need To Assist Humans, Not Automate

We’re talking about a dynamic duo here – humans and AI.

Imagine having a sidekick that crunches through data at the speed of light, leaving you with more brainpower to focus on the creative, the strategic, the things AI can’t quite nail. It’s not about humans versus machines; it’s about humans and machines shaking hands and tackling problems together.

Sure, AI’s a game-changer, but it’s not a one-man show. The real magic happens when human intuition, creativity, and that irreplaceable gut feeling come into play. It’s like peanut butter and jelly – good on their own, but unbeatable together.

So, in the grand scheme of things, it’s not AI or humans; it’s AI with humans. That’s where the real business alchemy goes down.

Top 5 Irreversible Ethical Issues With AI in Business

There are hundreds if not thousands of ethical issues with AI in business. Honestly speaking.

However, after brainstorming with our marketing team for hours, we boiled down the list to the top 5 most pertinent and direct ethical issues that business owners should know about the advances of AI in business.

These are the issues that may cause human work to be looked at as obsolete and raise many questions about the authority of business owners and entrepreneurs in the future. Let’s get started!

1. Who is the legal owner of your work? You, or the AI tool you used?

Almost all articles online, including this one, have been written with ChatGPT’s assistance. ChatGPT isn’t advanced enough to write a structured article completely on its own, plus it has shown evidence of making up factually incorrect statements.

So who gets the credit for this work? Me, the writer, or ChatGPT; my AI writing assistant?

This might as well become such an ethical issue that you may see legal battles for this.

Legally, the human generally holds the copyright, but it gets dicey. Some agreements might sneak in clauses claiming a slice of the creative pie for the AI tool. So, before you dive into the AI abyss, check those terms and conditions. It’s like checking the fine print before signing any deal – you don’t want surprises.

Make sure you know who gets the bragging rights for that genius work you and your AI buddy crafted.

What Are The Possible Solutions?

Explicit Contracts: Create contracts that clearly state the human’s ownership of work and detail the AI’s contributions. This ensures transparency and serves as legal protection.

Standardized Regulations: Advocate for industry or governmental regulations that define ownership in AI collaborations, providing a clear legal framework for resolving disputes.

Open Source Collaboration: Promote the use of open-source AI tools and community guidelines to encourage collaboration. Open-source licenses can clarify usage rights, fostering a shared understanding of responsibilities in AI-generated work.

2. Decreasing quality of content/work

AI is being used majorly in content creation. Whether it is written content using ChatGPT, or graphical content using Midjourney, content creation will soon be taken over by AI.

This means two things: a surplus of content in the market, and due to this, lower quality and demand for content.

Here’s the scoop – while AI can crank out ideas and assist, relying solely on it might be like asking a GPS to fly a plane. Sure, it gets you somewhere, but the journey’s a mess. Real talk, folks worry about AI-generated content lacking that human touch, that finesse only we bring.

What Are The Possible Solutions?

Human-AI Collaboration Guidelines: Establish clear guidelines for collaboration between humans and AI. Define roles and responsibilities to ensure that AI is used as a supportive tool, maintaining the human touch in content creation and work processes.

Quality Control Mechanisms: Implement robust quality control mechanisms to evaluate and refine AI-generated content. This can include human editors reviewing and enhancing AI-generated work, setting quality benchmarks, and conducting regular assessments to ensure that the final output meets the desired standards.

Continuous Training and Improvement: Invest in ongoing training for both AI systems and human professionals. Keep AI systems updated with the latest trends and linguistic nuances.

3. Yes, unemployment will surge. How do we deal with it?

Most people hustle through their day jobs just to make ends meet for themselves and their families.

Now, imagine if AI steps up its game.

With the time it saves us, we could have a shot at spending more quality time with our loved ones, getting involved in our neighborhoods, and finding cool ways to give back to society.

Take the trucking scene, for instance. In the U.S. alone, millions of folks are trucking away.

Now, Elon Musk’s Tesla is talking about self-driving cars and trucks hitting the roads soon. Sounds wild, right? But here’s the twist – it could be a game-changer. Picture this: fewer accidents, more safety. It might just be the ethical twist we need in the transportation game.

Although there are innumerable advantages to this, unemployment will still be a rising issue. How do we deal with it?

Many jobs that lie in the non-decision-making domain will be most easily replaced by AI. Only certain jobs where human intelligence, creativity, and leadership are required, will never be replaced by AI. Go through our blog, ‘Top 10 Jobs AI Can Replace By 2030‘ to know more about what jobs can and cannot be overtaken by artificial intelligence.

What Are The Possible Solutions?

Reskilling Programs: Launch training initiatives to update skills, ensuring the workforce remains competitive in an AI-dominated business landscape.

Entrepreneurial Support: Encourage entrepreneurship by providing resources and incentives for individuals to start businesses that align with AI in business, fostering innovation and job creation.

Ethical AI Policies: Enforce guidelines promoting the ethical use of AI, ensuring it enhances productivity without causing widespread job displacement, thus balancing the benefits of automation with human welfare.

4. AI can be biased which will disrupt the information supply

AI is the brainchild of us humans, and let’s face it, we’re not always the most unbiased bunch. Sure, AI has the potential to be a game-changer for the good stuff, but it’s a double-edged sword. It’s like having a super-fast, super-smart friend, but, guess what, they might carry a bit of biased baggage.

See, AI can crunch data at warp speed, way faster than us, but here’s the kicker – it’s not always Mr. Neutral. Thanks to its human roots, it can sometimes play favorites or be a bit unfair. So, while it’s a powerhouse, keeping it on the straight and narrow? That’s the real challenge.

AI bias isn’t just tech drama; it’s stirring the pot in politics and business. When algorithms play favorites, they crank up the heat on polarized views. Think of it as bias on steroids, shaping debates and decisions with a skewed lens. It’s not just algorithms; it’s bias pulling the strings in the political and business dance.

What Are The Possible Solutions?

Diverse Data Input: Ensure diverse and representative datasets are used in training AI models. Including a wide range of perspectives helps mitigate bias, providing a more accurate reflection of the real world and avoiding reinforcement of existing prejudices.

Algorithmic Transparency: Implement transparency in AI algorithms. Make the decision-making process clear and understandable. This way, biases can be identified and corrected more effectively. Open-source and explainable AI models promote accountability and trust.

Continuous Monitoring and Auditing: Regularly monitor and audit AI systems for bias. Establish protocols for ongoing evaluation to catch and rectify any bias that might emerge over time.

5. The biggest problem with AI in business: UNINTENDED CONSEQUENCES

Picture this: AI going a bit rogue, not with evil intent but oops, unintentionally. Imagine asking it to wipe out cancer, and it crunches the numbers and spits out a cure, but whoops, it ends up wiping out the whole planet. Goal achieved, but humans didn’t quite sign up for an unintended apocalypse. It’s like AI playing mad scientist without realizing it.

It’s just like the example that Elon Musk mentioned in one of his famous interviews.

                                                                                        Elon Musk

He’d said that AI working on a project on its own can cause such unintentional problems, just like we humans do. For example, when we’re trying to build a road, and there’s an anthill in the way, we’re still gonna destroy the anthill. This is not because we hate ants and intend to destroy their homes…we’re just trying to build a road!

Imagine AI in business going a bit rogue—not evil, just unintentional. Suppose you task AI with optimizing supply chains. If our instructions aren’t crystal clear, it might whip up logistics chaos instead of streamlined operations. It’s not just sci-fi; it’s about the nitty-gritty of coding and algorithms, where AI in business needs tight reins to avoid unintended messes.

What Are The Possible Solutions?

Precision in AI Instructions and Oversight: Ensure clear instructions for AI in business processes, backed by robust oversight. Fine-tune algorithms technically to align with business goals, reducing the risk of unintended consequences.

Integration of Ethical AI Frameworks: Integrate ethical AI frameworks into business practices, incorporating technical measures like explainability algorithms. This ensures users understand AI decisions, providing a roadmap for developers to embed ethics in AI in business development.

Continuous Testing and Feedback for AI in Business: Implement ongoing testing and feedback loops for AI in business systems. Regularly assess performance using technical metrics to identify biases or unintended outcomes, allowing swift adjustments to maintain alignment with business objectives.

Discussions Business Leaders Need To Have To Prevent Takeover of AI in Business

It is high time that business leaders take ownership of this conversation. Before we move forward with the advances of artificial intelligence, there need to be certain discussions and regulations put into place. Otherwise, things will be too damn complicated.

In a similar study on AI in business and ethical considerations, Harvard Business Review published a paper that recommends having a team set up to take care of this. They’ve mentioned in detail how such a team can be set up.

So, once your crew is all setup, let’s chat about three super important tasks you need to get into.

First up, we’ve got to get on the same page about what the heck we’re aiming for with this AI ethical risk program – like, what are our goals?

Next, we gotta dig into where we’re at as a squad right now and where we want to roll up to. That’s the second big talk. Let’s figure out the gaps between the here and the dream spot.

Last but not least, let’s have a powwow about why those gaps exist. We’re talking a deep dive into the roots so we can tackle them head-on, no messing around. It’s all about making sure we’ve got a rock-solid plan to cover all our bases.

Conclusion

Alright, let’s break down the whole AI in business ethics conversation.

We’re all hip to the concerns floating around, but turning those worries into actual game plans? That’s a whole different story.

When it comes to the dance between machine learning, ethics, and AI in the business scene, it’s not a walk in the park. It’s like untying a knot in a bunch of cables – a bit messy, and not a quick fix. Conversations around these topics can feel like wandering through a fog; it’s all a bit abstract and up in the air.

To get the ball rolling, we need to change how we talk about it. Step one: figure out who needs a spot at the discussion table in the world of AI in business.

Then, let’s get down to business:

1. lay out the ethical rules for AI in our organization,

2. spot the gaps between where we’re at and where we should be in the AI in business ethical standards, and

3. dive into the nitty-gritty of the problems, making solid plans to fix them. It’s not just about chatting; it’s about taking real, tangible steps to keep AI in business on the straight and narrow ethically.

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The post How ethical is AI and things you need to know. appeared first on Fixbracket.

So, lately, everyone’s been buzzing about artificial intelligence (AI), especially regarding marketing. About 30% of folks globally are worried that AI will swoop in and snatch up marketing jobs in the next three years. It makes you think, right? Is AI going to change the marketing game forever?

Well, let’s dig into how artificial intelligence is shaking up marketing gigs, what it can and can’t do, and how savvy marketers can roll with the changes and come out on top.

In this article, we go over the relationship between marketing and AI. We’ll also cover how it can and cannot replace marketing jobs.

Are you all set for the AI revolution?

Relationship Between AI & Marketing

So, when we chat with marketers about how artificial intelligence is shaking up the industry, many are curious if artificial intelligence will either automate their jobs or kick them to the curb.

Well, the answer isn’t as simple as yes or no. After diving into AI experiments and talking to the pros over the years, we’ve figured out that some marketing gigs might vanish due to artificial intelligence, some will get a boost from it, and hey, there might even be some new jobs in the mix.

Now don’t expect this to be an overnight thing, but it could happen quicker than you’d guess.

Long story short, if marketers want to stay in the game and stay effective down the road, there are some serious job considerations they need to wrap their heads around right now.

How Likely Is It That Artificial Intelligence Will Replace Marketing?

ChatGTP gaining popularity.

Alright, when we sit down with marketers and chat about how artificial intelligence is shaking up the industry, a big question on their minds is whether artificial intelligence will snatch their jobs or make them obsolete.

Well, it’s a bit of a tricky answer, and we’ve figured this out through years of messing around with artificial intelligence and talking to the pros.

So, here’s the deal: some marketing gigs might vanish because of AI, some will get a boost from it, and guess what? New jobs will pop up too. It’s not gonna happen overnight, but it might speed up quicker than you’d expect.

That means, if you’re in the marketing game, you gotta think about your job situation now to stay on the ball in the future.

In this post, we’re gonna spill the beans on some trends we’re spotting that could mess with marketing jobs. Plus, we’ll throw in some tips on how marketers can set themselves up for success down the road.

Now, the big question: Is AI taking over marketing? It is basically about making machines smart to help out and beef up what we humans can do.

There’s a bunch of AI tech out there, and they’re at different levels of being awesome. We’re talking about machine learning, deep learning, natural language generation (NLG), natural language processing (NLP), and image recognition.

The real deal AI systems can teach themselves to get better at a task. Humans set it up, give it a goal, and boom—the system figures out how to crush that goal by learning from its past attempts super fast.

This happens way quicker than humans trying and failing over and over, and it happens on a big scale. Imagine an AI system dominating human champs in a tricky computer game like Dota 2. The system learned the ropes by playing different versions of itself, picking up tons of in-game smarts in just two weeks. Pretty wild, huh?

Will AI Replace Marketing Jobs?

So, guess what? AI is taking over a bunch of marketing tasks these days.

You’ve got tools like Automated Insights churning out data-driven stories like it’s no big deal. Phrasee is even beating humans at writing email subject lines – crazy, right?

PaveAI is on a mission to automate Google Analytics reporting, and Google itself is unleashing a tool for real-time insights. You’ve got questions, and artificial intelligence is all, “Boom, here’s your answer.”

If your job involves a ton of repetitive stuff like the examples I just gave, artificial intelligence might swoop in and take over. Even jobs where you’re sifting through massive datasets could be at risk because AI is a wizard at pulling out insights, suggestions, and predictions – way better than us humans.

Some AI tools might even make certain marketing tasks obsolete. And get this – they’re getting baked into existing systems like HubSpot and Salesforce.

HubSpot’s got predictive lead scoring and AI-powered content suggestions, while Salesforce is Einstein-ing up its core products.

Now, how artificial intelligence shakes up marketing gigs depends on the job. Telemarketers are on thin ice – there’s a 99% chance AI will snatch their jobs. Advertising salespeople aren’t safe either, with more than a 50% chance of being replaced by AI.

But here’s the twist – marketing managers are in the clear. Artificial intelligence might make their jobs even better by automating the boring tasks and letting them focus on the real game-changers.

We’re kinda on board with this, but there’s a catch. AI could get super smart fast and change the game for marketers who think their jobs are safe.

Should digital marketers be afraid?

Ever wonder why marketers are sweating over the idea of artificial intelligence taking their jobs? We did too, so we asked 1,000 digital marketers in the U.S. These folks are knee-deep in digital marketing, whether they’re freelancers, agency wizards, or rocking it in-house.

Here’s the scoop from Neil Patel’s research:

Freelancers:

We got the lowdown from 229 freelancers.
Guess what? 56.7% are side-eyeing AI, thinking it might kick human marketers to the curb soon.

In-house:

Talked to 394 in-house marketers.
Turns out, 56.1% are feeling the heat, worrying that AI could be the new marketing overlord.

Digital Marketing Agency:

Checked in with 377 agency peeps.
They’re not immune either—54.1% of them are sensing AI’s breath on their necks, thinking it could replace human marketers real soon.

                                                                            (source Niel Patel)

Get this: a whopping 55.5% of folks are convinced that artificial intelligence is gearing up to take over human marketers pretty soon. Can you believe it?

It’s Better To Use AI To Improve Your Marketing

Using artificial intelligence to up your marketing game is totally fine. Keep your radar on for fresh tools and knowledge to level up. In today’s digital scene, how companies wield AI matters big time.

Artificial intelligence is the secret sauce for marketers diving into heaps of data lightning-fast, giving them the lowdown on what consumers are up to and where the market is headed. Armed with this intel, they can whip up killer marketing plans and campaigns tailored to specific audiences.

And guess what?

Artificial Intelligence isn’t just a data maestro—it’s also your buddy for crafting content that clicks with consumers. Thanks to natural language processing (NLP) and smart algorithms, AI helps marketers nail down the language and vibe that vibes best with their target crowd. Result? Content that’s all set for maximum engagement and conversions.

Speedy content creation?

You got it. McKinsey & Company spilled the beans that around 30% of tasks in 60% of jobs can be automated. AI won’t snag your job, but it’s a lifesaver for dodging those not-so-hot blog drafts. Notion AI, for instance, has folks covered from blog outlines to sales emails, making the content creation hustle smoother.

Now, artificial intelligence isn’t just a backstage player. It amps up workflows with today’s smart communication and productivity tools. Picture this: AI turbocharges email marketing by nailing the perfect send time, checking if your email might land in spam, and even tossing in some material suggestions.

So, with AI in your corner, you’re not just keeping up—you’re ahead of the game. Craft killer campaigns hit the right notes with your audience, and keep that content marketer mojo strong. Ride the wave and land the perfect message for the perfect moment.

What Parts Of A Marketer’s Job Can AI Replace?

Wondering what AI can step in for? Think about those daily tasks that start to pile up—stuff like:

Repetitive Jobs: AI can be trained to handle the boring, repetitive stuff. Think about sorting data, making reports, and running quality checks.

Decision Time: AI tools can crunch data and make decisions. Speeds things up, like sorting through loan applications or analyzing financial data for investment opportunities.

Customer Service: Ever chatted with a business bot? 41% of them are working in sales! AI handles FAQs, complaints, and support.

But here’s the deal: AI can’t rock human vibes like judgment, creativity, and empathy.

So, use AI for heavy lifting, but lean on your human smarts for the real deal. Picture it as a teamwork thing—AI as your project co-pilot. Get the grind done with AI, but let your emotional intelligence and human expertise be the guide.

Can AI Make Business Decisions?

So, here’s the deal: artificial intelligence can give us the lowdown on data-driven strategies, but when it comes to pulling the trigger, humans still take the lead. Marketing has always been in the hands of sharp decision-makers. AI just swoops in to help them make more decisions, quicker, and armed with top-notch info.

Why?

Because we humans get the vibe, the context, and all those subtle nuances. Good marketers know how to build relationships, something artificial intelligence might never ace because it lacks that emotional IQ crucial for rocking both personal and professional marketing.

And let’s be real, AI isn’t always spot-on. Ever heard of “AI hallucinations”? It’s when AI makes up stuff that’s not even true. Crazy, right?

Is there anything to worry about then?

Even though artificial intelligence can be super helpful when used smartly, there are a few things to watch out for. The data AI gathers needs to be top-notch. If it’s messed up, incomplete, or biased, it’s worse than having no data at all.

Nowadays, artificial intelligence is learning from a massive amount of data, so the AI that helps write Google Ads headlines, for instance, has seen both lousy ads and great copy.

Sure, some jobs might get the boot thanks to artificial intelligence, but let’s be real—technology is always changing jobs. The cool thing is, that the jobs that get lost usually get replaced by new ones needed to make, fix, and keep the new tech running smoothly.

So, humans are still in demand (look at the global skills shortage), just in different ways. AI might swipe some jobs, but they’re probably the ones we’re not too crazy about anyway.

Summing Up: How You Can Be Irreplaceable As A Skilled Marketer

A top-notch digital marketer is one-of-a-kind because they’re not just data wizards; they’ve got a deep understanding of the industry and a knack for connecting with people on a real, human level. They know how to take those insights from AI and turn them into killer marketing strategies that hit home with their target audience.

The best marketers don’t just let AI run the show; they work hand-in-hand with it. They ask the right questions, double-check the AI’s outputs with their expertise, and turn the content AI spits out into real action. Humans are always finding ways to roll with the tech punches.

Picture it as a tag team – human smarts and curiosity teaming up with AI to create the ultimate marketing dream team.

How?

Well, savvy marketers are wizards at crafting content that speaks to people, crunching data to spot trends, and cooking up strategies to push brands and products across all the digital hotspots.

As a seasoned marketer, you’re always leveling up, and staying on top of the latest tech and trends. That’s how you whip up innovative solutions that your clients didn’t even know they needed.

Building solid relationships with clients is your jam. AI might have the smarts, but it can’t whip up tailor-made solutions like you can. It might have the insights, but you bring those insights to life with real, actionable steps.

And let’s talk customer service – that personal touch, that attention to detail that keeps clients coming back. That’s why AI won’t be snagging our jobs anytime soon.

We marketers? We play big, fueled by our human curiosity and savvy digital skills. That’s something AI can’t touch.

The post Can AI Replace Marketing Jobs soon? appeared first on Fixbracket.

Image source: pexels.com

In today’s hustle-bustle business arena, it’s all about staying a step ahead, right? And guess what’s been causing waves lately? AI Tools. It’s not just some sci-fi chatter anymore—it’s becoming the real deal, shaping how businesses run and defining what success means in this fast-paced world.

Let’s talk numbers for a moment. The AI market? It’s like a skyrocket, set to blast off at a whopping 37.3% annual growth rate from 2023 to 2030. Brace yourself for this figure: $1,811.8 billion by 2030. That’s not just a trend; that’s a seismic shift in how things operate.

Now, here’s where it gets exciting. We’ve got this lineup of ten AI tools that are like the superheroes of efficiency. They’re not just talk—they’re game-changers. Think of using machine learning to make those smart, data-backed decisions or kicking repetitive tasks to the curb with some automation magic.

These tools?

They’re the keys to unlocking a whole new level of productivity and innovation.

We’ll break down how they work, why they matter, and how they’re set to flip the script on how businesses roll in 2023. Get ready to explore this world where AI meets productivity, innovation, and a whole lot of game-changing potential.

A Closer Look at Productivity-Boosting AI Tools

AI productivity tools are like digital assistants powered by artificial intelligence, designed to supercharge how we work. They’re software applications that step in to help us work smarter, not harder. These tools do a bunch of cool things: they automate repetitive tasks, give us smart suggestions, and even help us make better decisions.

Let’s break it down with some examples:

• Writing Assistants: Imagine having an AI buddy who not only fixes your grammar but also suggests better ways to write. They can even whip up content like blog posts or emails.
• Translation Tools: These are handy when you need something translated quickly and accurately. They’re like language wizards for global communication.
• Research Assistants: Need info fast? These AI pals sift through tons of sources, summarizing what you need in a jiffy. Great for work or school research.
• Customer Service Chatbots: You know those chat pop-ups on websites? Yeah, many times, they’re AI bots answering questions, solving issues non-stop, and letting human reps focus on the tricky stuff.
• Scheduling Tools: These AI tools make scheduling meetings a breeze. They’re like your personal assistant, considering time zones and everyone’s availability.

AI Tools Specializations: Transforming Industries

Beyond the horizon of AI productivity tools we’ve explored lies a treasure trove of specialized AI wonders, each tailored to revolutionize specific domains. These digital virtuosos go beyond the basics, reshaping industries with pinpoint accuracy.

• Project Management: These AI tools are like a project manager’s secret weapon. They keep tabs on progress, flag potential risks, and give insights to help make smarter decisions.
• Sales and Marketing: For sales, AI tools are like a golden compass, pointing out potential leads and helping seal the deal faster. Marketers use them to craft laser-focused campaigns that hit the bullseye.
• Human Resources: HR folks have AI allies too! These tools help sort through resumes, even assist in interviews, and make the onboarding process smoother for new hires.
• Customer Support: Remember those helpful chatbots? They’re just the start. AI tools turbocharge customer support teams, making problem-solving a breeze for them.
• Data Analysis: Data analysts get a boost too! AI tools lend a hand in cleaning up messy data and analyzing it lightning-fast and with precision.

These AI tools aren’t just for one industry—they’re like Swiss Army knives, fitting into various sectors to make tasks easier and more efficient.

Powering Business Success: Top 10 AI Tools Shaping Efficiency in a Changing Market

Let’s discuss the tools that drive success by making work easier and more effective, helping businesses adapt and succeed in a constantly evolving market:

ClickUp AI

                                                                                                                              ClickUp Home Page

ClickUp AI is an integrated assistant seamlessly embedded within the ClickUp productivity platform. It leverages AI capabilities to streamline various tasks and enhance productivity across different functions.

Features:
Text Generation: Crafting content for blog posts, and marketing materials, and summarizing extensive documents.
Language Translation: Effortlessly translating text across numerous languages.

Query Handling: Proficiently addressing inquiries related to project management, productivity, and business intricacies.
Idea Generation: Assisting in brainstorming sessions for innovative concepts in projects or strategic marketing campaigns.

ChatGPT by OpenAI – No. AI Tools For Language Modelling

                                                                                                                ChatGPT by OpenAI

ChatGPT, developed by OpenAI, operates as an AI-powered language model capable of generating human-like text based on contextual understanding and prior interactions.

Features:
Conversational AI: Engaging in discussions, responding to queries, and even crafting narratives.

Text Generation: Producing various forms of content, from articles to document summaries.

Language Translation: Efficiently translating text across multiple languages.

Question Answering: Addressing queries across a wide array of topics like science, history, or current events.

Fireflies AI Tools

                                                                                                                      Fireflies AI – Home Page

Fireflies AI is an AI-driven note-taking solution tailored for meeting transcription, summary extraction, and insightful analysis, designed to optimize organizational efficiency.

Features:
Work Management: Automated transcription and summarization of meetings, aiding in organizational structuring.

Insight Generation: Analyzing meeting transcripts to extract valuable insights from team discussions.

Collaboration: Facilitating effective collaboration by sharing meeting transcripts among team members.

Presentation/Reporting: Using transcripts for presentations and reports, simplifying communication of essential information.

Speechify

Speechify – Home Page

Speechify is an AI-powered text-to-speech solution designed to enhance reading and listening efficiency by converting various text formats into speech.

Features:
Reading Efficiency: Vocalizing text content from sources like PDFs, articles, web content, and social media posts.

Customization: Offering adjustable reading speed, voice selection, and background noise settings.

Accessibility Enhancement: Beneficial for individuals with dyslexia, ADHD, or other learning disabilities, promoting enhanced accessibility to text-based content.

Plus AI

                                                                                                                                 Plus AI – Home Page

Plus AI is an AI-powered tool focused on automating reporting and analytics processes for businesses, aiming to streamline operations and offer actionable insights.

Features:
Automation: Streamlining reporting and analytics tasks, reducing manual efforts.

Insight Extraction: Deriving meaningful insights from gathered data for informed decision-making.

Report/Dashboard Generation: Creating comprehensive reports and informative dashboards for data-driven decision-making.
Cost Reduction: Aiming at optimizing operations to reduce costs while enhancing efficiency.

Tome AI

                                                                                                                                          Tome AI Home Page

Tome AI is an AI-driven storytelling tool designed to streamline the creation and sharing of immersive narratives effortlessly. By harnessing machine learning and natural language processing, it generates presentations, outlines, and stories enriched with text, images, and multimedia elements.

Features:

Versatile Storytelling: Creation of presentations, blog posts, marketing materials, personal stories, and articles.

Ease of Use: Simple interface where users input descriptions, and Tome AI generates customized content.

Customization Options: Ability to edit and tailor generated content to suit individual preferences.

Immersive Narrative Creation: Facilitation of engaging storytelling through multimedia-rich outputs.

RescueTime

                                                                                                                            RescueTime – AI Tools

RescueTime is an AI tool specializing in productivity and time management. It tracks device usage and app activities, providing detailed reports and insights to improve users’ time utilization.

Features:

Time Tracking: Monitors device and app usage to analyze time distribution.

Insights and Reports: Offers detailed reports highlighting productive and distracted periods.

Goal Setting: Allows users to set productivity goals and alerts for focused work.

Productivity Enhancement: Aids in optimizing time usage for improved efficiency.

Play.ht

                                                                                                                                       Play.ht – Home Page

Play.ht serves as an AI assistant tailored for software developers. Utilizing machine learning, it suggests code lines, detects bugs, refactors code, and explains suggestions to facilitate learning during coding.

Features:

Code Suggestion: Provides AI-generated suggestions for coding.

Bug Detection: Identifies and flags potential bugs within the code.

Code Refactoring: Assists in optimizing and restructuring code for efficiency.

Explanatory Capabilities: Explains suggested code for enhanced understanding.

Jasper AI

                                                                                                                                                Jasper AI

Jasper is an AI tool aimed at content creators, marketers, and businesses, empowering them to generate diverse content types. Notably, it focuses on maintaining brand voice consistency across all AI-generated content.

Features:

Diverse Content Creation: Crafting blog articles, product summaries, promotional text, and emails.

Brand Voice Integration: Enables alignment of brand identity across all generated content.

Real-time Information Retrieval: Accessing and incorporating current information into content.

Workflow Integration: Seamlessly integrates AI capabilities into existing workflows.

theGist

                                                                                                                                           Jasper AI – Home Page

theGist is an AI productivity tool designed to streamline information aggregation from multiple channels and apps into a unified dashboard, primarily for Slack users.

Features:

Unified Workspace: Consolidates notifications and communications from various work apps into a single dashboard.

Custom Alerts: Allows setting up personalized alerts for specific events or notifications.

Privacy and Security: Emphasizes top-notch privacy and security measures.

Enhanced Information Consumption: Simplifies information management for improved productivity.

Conclusion: How AI Tools Are Revolutionizing The Digital World

Here are ten game-changing AI tools ready to supercharge your productivity. With automation, smart assistants, and machine learning at your disposal, you’ll be accomplishing tasks quicker and smarter. Don’t wait—try out a few of these tools and witness their transformative impact on your daily workflow. You’ll wonder how you managed without this AI support.

AI productivity tools are poised to transform our work approach. By automating repetitive tasks and offering valuable insights, they enable a focus on essential work, boosting productivity significantly.

The future is here—embrace these remarkable technologies to unlock your productivity potential and revolutionize how you work.

The post Top 10 AI Tools For Business Productivity. appeared first on Fixbracket.

If you’re not aware of how AI (Artificial Intelligence) will impact jobs from 2023 to 2030, it’s like living under a rock! Right now, AI, especially cool stuff like ChatGPT, is grabbing all the attention. Soon a time may come when most business operations will be automated and there will be many jobs AI will replace under our noses.

Google just rolled out this new AI magic that can whip up presentations, crunch data, and even write content. There are many other AI tools like Gamma and Numerous AI-making waves too.

Here’s the deal: if you’re not riding the AI wave and still resisting, you might miss out on great job opportunities in the next seven years. AI is going to shake up some jobs, but guess what? It’s also bringing in new ones! So, buckle up and get ready for the AI ride!

In this article, we will see how AI can take over the jobs of working professionals and which jobs can be replaced by AI.

How Harmful Can Artificial Intelligence Be For The Future Of Jobs?

(source: Murat Durmus – Medium)

You know, when it comes to Artificial Intelligence, it’s a bit like any hot topic – you’ve got folks who are all for it and those who are totally against it. With new AI tools popping up and making headlines, it’s only making the gap between these two groups wider.

Some experts think AI can do wonders for society, boosting productivity, improving healthcare, and making education more accessible. But here’s the catch – we must get with the program now.

On the flip side, there are folks, especially those stuck in repetitive manual jobs, who think AI and robots are troublemakers. They’re worried that these tech advancements will snatch away jobs.

But here’s the deal – these robots and AI gadgets can open up a bunch of new job opportunities and help us tackle tricky problems, making our day-to-day lives smoother. The final verdict isn’t in yet, but the vibe is leaning toward AI being more of a good thing than a bad one.

How Will AI Automation Affect The Economy?

According to McKinsey’s Global Institute, AI could have a huge impact on the world economy, bringing in an extra $13 trillion in economic activity shortly, around 2030. That’s a significant 16% boost in the total GDP compared to today. This would mean an extra 1.2% growth in GDP each year.

The impact is expected to be on par with the transformative effects of other major technologies in history. The main sources of this economic boost will be the automation of jobs and a surge in innovation for new products and services.

The report also predicts that by 2030, about 70% of companies will have jumped on the AI bandwagon, adopting at least one type of AI technology. However, less than half of them are expected to fully embrace all categories of AI. Forbes chimed in, saying that AI has the potential to be one of the most disruptive technologies ever seen across the global economy.

10 Jobs AI Will Most Likely Replace

What we need to focus on is that AI works on a set of algorithms, which work automatically. Hence, AI tools are also sometimes called automation tools. The algorithms that work behind AI are set and there’s no space for creativity…absolutely zero!

Therefore, only those jobs that are repetitive and do not require critical thinking, are the jobs AI can replace in the future or the near future.

Here are 10 jobs AI is highly likely to replace fully or partially by 2030.

1. Receptionists

In the not-so-distant future, AI will likely take over repetitive jobs, like that of a receptionist. Think about it – routine tasks, answering calls, and scheduling appointments – are all perfect candidates for automation. AI systems are getting smarter by the day, learning to handle these tasks efficiently without fatigue or errors.

Plus, they’re available 24/7!

Companies are always on the lookout for cost-effective and efficient solutions, and AI fits the bill. While it might sound a bit futuristic, the signs are already there. Embracing this change could mean more time for humans to focus on complex, creative tasks that machines can’t replicate.

Due to all these reasons, we believe that receptionist is the most likely job AI will replace.

2. Customer Services

Customer service reps don’t need to be super socially or emotionally savvy these days. A bunch of companies use AI to handle common questions from customers. So, chatbots aren’t just for talking to customers – they also help out with stuff inside the company.

3. Bookkeeping (and Data Entry)

We are writing bookkeeping and data entry together as the work is the same. The only add-on with bookkeeping is multiple calculations. And today, when we have cloud accounting software, bookkeeping is a job AI has somewhat replaced already.

You might not be up-to-date on bookkeeping as a job these days. Instead of people doing all the data entry and bookkeeping stuff, bringing AI and Machine Learning into the mix makes sense.

The best part? No human calculation errors!

4. Proofreading & Content Editing

Editing is like the heavy-duty stuff, you know?

Dealing with tone, understanding the whole vibe, and all that jazz. On the flip side, proofreading is a piece of cake. Fixing grammar goofs, sorting out sentences – some apps can handle that with a snap. Take Grammarly, for instance. Pros swear by it for cleaning up their writing game.

5. Content Writing

We all know that the best content writer out there is ChatGPT. Almost all articles (including parts of this one) are assisted by ChatGPT and it’s an open secret.

Writing content is something that may be fully automated, including creative writing. Tools like ChatGPT are now able to write compelling stories, poems, and whatnot! The one skill related to content that is very important to the business world and cannot be replaced by AI is search engine optimization (SEO).

Writing blogs is one thing, and understanding human sentiment to make those blogs rank first on Google search results is completely different. However, content writing in itself has become somewhat obsolete.

6. Telemarketers

You know those annoying robocalls pitching stuff?

Well, turns out, the future for folks working in telemarketing doesn’t look too bright. The job market for telemarketing is predicted to shrink by 18.2% by 2031.

Why?

Well, these jobs involve a lot of repetitive and predictable tasks, which makes them perfect candidates for automation.

But here’s the catch: even though machines can take over the repetitive stuff, they can’t match the social skills and emotional smarts of a successful human telemarketer. So, while the robots might handle the routine, connecting with people on a personal level is still our turf.

7. Retail Store Operators

Since McDonalds popularised self-checkout kiosks, the concept has been normalized.

Do you know those self-checkout machines in stores? They’re like a prime example of automation in the shopping scene, especially in places like grocery stores and big retail spots.

So, when a company decides to have those self-checkout areas, it’s basically after doing some math on the costs and benefits. Sure, there might be a bit more shoplifting when customers scan their stuff, but overall, the company ends up saving more cash by needing fewer employees at the checkout counters.

8. Computer/Software Support Technician

By 2031, it’s expected that the field will grow by 6.2%. With tons of info online like guides and hacks, it’s no wonder companies will lean more on bots and automation to handle support questions from both employees and customers down the road.

It’s not very soon that AI will start writing its own code, but the repetitive job of a tech support guy is a job AI can replace easily. It’s not a very high-paying job anyway, and those are the types of jobs AI is most likely to replace.

9. Retail Salespeople

Businesses are making shopping easier for everyone with things like self-checkout. Nowadays, shoppers are pretty good with the internet, and they often look up stuff online before deciding what to buy.

But, when you’re talking with a retail salesperson one-on-one, it’s a different vibe. Their personal touch is not the same as a machine, and lots of people like having a real person help them out instead of dealing with automated and emotionless support.

However, as time progresses, people will more likely wanna get things done quicker, and machines can help there. Jobs AI can replace so far are not that many, or at least, these are jobs AI can partially replace. But retail sales aren’t a huge problem solver for retail stores, as people will buy things they need regardless of a salesperson being involved in the process.

10. Researchers (for business purposes)

We’re not talking about space research or stuff like that. There are vast portions of research that require highly skilled human effort. No AI can build physical machines to excavate the ground or fly a rocket into high-earth orbit.

We’re talking only about business researchers and analysts. They rely heavily on automation tools even today.

So, in the world of crunching numbers and digging into research, they’re already bringing in artificial intelligence to make things smoother. With today’s powerful computers, we can quickly organize, predict, and analyze data without much human help. As AI gets better, we might not even need humans to be hands-on in the whole data analysis and research gig.

10 Jobs AI Can NEVER Replace

Certain gigs are just too human for AI to swipe.

Jobs where empathy, understanding, and emotional connection are key, are tough for machines to replicate. Those are the jobs AI can never replace.

Think of roles requiring genuine creativity, the kind that stems from deep human experiences and emotions, not just algorithms crunching numbers. Anything involving complex problem-solving in unpredictable scenarios—AI struggles to match the unpredictability of human ingenuity. Then there’s the personal touch, jobs that require a unique human touch, you know, the kind that can’t be programmed.

So, jobs where the human touch is irreplaceable, where intuition and a dash of soul make all the difference, those are the keepers.

Here are the ten jobs AI will never be able to replace (most of them are decision-maker roles):

1. Chief Executives
AI can’t step into the CEO’s shoes. Leading a company is more than data crunching; it’s about vision, strategy, and navigating the human side. CEOs make tough calls, understand emotions, and bring that unique blend of leadership only humans can muster.

2. Lawyers
Lawyers bring more than just legal knowledge; it’s about understanding human nuances, and context, and navigating ethical intricacies. AI lacks the empathy, moral reasoning, and contextual grasp needed for the dynamic nature of legal practice, making lawyers indispensable in interpreting and applying the law effectively.

3. Scientists
Scientists can’t be swapped out for AI because they bring more than data-crunching skills. It’s the spark of curiosity, creativity, and the ability to ask new questions that make scientists irreplaceable – AI can’t match the human touch of discovery and innovation.

4. Journalists
Journalists bring a unique human touch to storytelling, combining empathy and context. AI struggles with nuanced understanding, emotional depth, and adapting to rapidly evolving situations. But most importantly, if AI starts handling journalism and news writing, people will lose complete trust in the media (not that haven’t already).

5. Surgeons
Surgeons are irreplaceable because their craft involves nuanced tactile skills, adapting to unforeseen complexities mid-operation, and relying on instinctive judgment. While AI can aid in diagnostics, the intricate blend of technical prowess and human intuition in surgery remains beyond its reach.

6. Business/Marketing Writers
Those writers whose work affects business revenue directly or indirectly are called strategic writers or business writers. Several niches within writing will soon be completely taken over by AI, and many will never.

For instance, AI is getting good at taking over some writing jobs, like News Writers who deal with facts. It’s handy for Content Writers covering basic topics, and making straightforward content using data. Product Description Writers can use AI to create detailed descriptions by looking at product features. Also, AI helps Technical Writers with simple manuals. These jobs involve organizing information and following rules, which AI is good at doing efficiently.

On the other hand, AI is unlikely to replace certain writers, such as novelists who weave intricate emotions into narratives. In-depth industry analysts, mastering business complexities, and strategic marketing content developers, blending creativity with strategy, remain beyond AI’s reach. For political or high-stakes speeches and PR, the nuanced understanding of human dynamics, emotional resonance, and strategic communication needed is currently a distinctly human skill. AI’s strengths lie in data-driven and rule-based content, while the subtleties of creative expression and strategic insight continue to make certain writing domains uniquely human.

7. Software Developers
The big gap in scores probably comes from these new behind-the-scenes tools that make life easier for web developers. These tools do cool things like writing fresh code, filling in missing parts, and fixing errors.
Now, why can’t machines take over?

Well, making software is no walk in the park for us humans. It’s a tricky job, and getting the hang of it takes time and skills. Creating apps, software, and websites is no joke, especially because developers need to nail it to make awesome stuff for users. The field is expected to boom by 30.3% by 2024, so if you’re a software whiz, you’re in a sweet spot for now.

8. Management Executives
AI might be impressive, but when it comes to running the show, management executives have the upper hand. Steering the ship of a company requires more than algorithms and data crunching. Decision-making, leadership, and understanding the human side of business are what make execs invaluable. A stat worth noting: despite the tech surge, a whopping 94% of CEOs believe soft skills like communication and problem-solving are crucial. AI might handle tasks, but the intricate dance of managing people, strategy, and unforeseen challenges? That’s where humans shine, proving that in the executive realm, AI can’t replace the finesse of skilled human leadership.

9. Construction, Extraction & Mining
No robot’s taking over the hard hats and steel-toed boots anytime soon! Construction, Extraction, and Mining jobs are safe from AI invasion. Why? Because these roles demand hands-on skills, adaptability to unpredictable environments, and a human touch that technology can’t replicate. The U.S. Bureau of Labor Statistics says these jobs are projected to grow by 4% from 2020 to 2030, proving that even in our tech-savvy world, real people on the ground are irreplaceable. No algorithm can replace the expertise of those who build and extract the foundations of our physical world.

10. Practical Educationalists & Trainers
Teaching is more than just transferring information, and that’s where AI falls short. Practical educationalists, with their real-world experience, adaptability, and empathy, bring a unique touch to learning. AI lacks the personal connection and understanding crucial for nurturing students. According to a recent study, more than 90% of students believe that a human touch in education is irreplaceable. Practical educators guide students through challenges, fostering critical thinking and problem-solving skills—elements that go beyond AI’s capabilities. In a world increasingly embracing technology, the irreplaceable value of practical educationalists lies in molding well-rounded, adaptable individuals, a feat AI struggles to achieve.

Wrap-Up: How To Future-Proof Your Jobs AI Might Steal From You?

Between January and May 2023, 417,500 jobs bit the dust, and surprisingly, only 3.9k of them, less than 1%, were AI-related. But hey, the uncertainty might have you thinking about your career’s future. The secret weapon? Re-skilling.

Re-skilling isn’t just for doomsday prep. Most jobs expect some professional development, so this might be an old hat for you.

Consider diving into different AI tools, figuring out how they can jazz up your daily grind, or maybe snag a course to learn a fresh skill. As mentioned earlier, AI’s big play might just be making us superheroes in our careers. But, if your gig takes a hit, being a re-skilling pro leaves you ready for the next big thing, where you can flaunt your skills as a versatile candidate.

And of course, leadership positions are always safe from AI. So, re-skilling yourself to be a leader might be the strongest start!

The post 10 Jobs AI Can Replace By 2030. appeared first on Fixbracket.

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Reddit, our favorite online forum to browse on, has recently started taking steps towards some SEO action.

We know it as a place for dank memes and raunchy threads, however, Reddit as a company is taking steps towards developing tools that are AI-powered. AI is the future and Reddit definitely knows how to make full use of the situation.

As for the growth of the company, the online forum was doing well anyway and had earning methods as well (and still does, of course). The company makes money by showing ads and offering a premium membership plan without ads. Reddit is in the tech world, specifically making software that lets people share pictures and videos.

So why the new venture into SEO? Only the company decision-makers can tell you the objective truth about that.

We speculate that as the r/SEO thread was growing so rapidly, this AI keyword research tool was just something that the community may have benefited from. We can only make speculations though.

Anyway, let’s get started with what this new AI tool is all about and how it works. But before, let’s start with what Reddit even is, for those who have come across this blog for SEO-related queries, but don’t know what this forum is.

What’s different about Reddit?

                                                                                                                 Reddit Logo

Reddit is a social media platform that’s all about sharing, discussing, and discovering content.

It’s like a massive bulletin board where users from all around the world post everything from funny memes and heartwarming stories to breaking news and niche hobbies. Reddit’s logo is an alien named Snoo, and it’s known for its diverse and vibrant communities, each with its own interests and rules.

How It Works

When you join the forum, you become a Redditor, and you can start exploring various communities known as subreddits.

These are like rooms in a big house, each focused on a specific topic, whether it’s cats, science, video games, or even advice on life’s problems. You can join these communities and post content, comment on others’ posts, or just lurk and read.

Upvotes and downvotes are at the heart of Reddit. If you like a post, you upvote it; if you dislike it, you downvote. Posts with more upvotes rise to the top, getting more visibility. The comment sections are lively, with discussions, jokes, and sometimes heated debates.

It also has a unique system of “karma.” You earn karma points when people upvote your posts and comments. It’s like a measure of your contribution and popularity on the platform.

This is a place where you can be whoever you want, discuss any topic you’re passionate about, and discover like-minded people or engage in friendly debates.

It’s a platform that thrives on the diversity of its users and content, making it a fascinating and dynamic online community.

What Is Reddit’s AI Keyword Research Tool?

Reddit is taking its advertising game to the next level with a fresh addition to its Ads Manager toolkit – Keyword Suggestions.

This exciting feature is designed to be a game-changer for advertisers, making it easier than ever to supercharge their campaigns. With Keyword Suggestions, the company is raising the bar in ad targeting, ensuring that advertisers can reach their desired audience more effectively and efficiently.

Get ready to maximize your campaign’s impact and watch your reach soar as Reddit introduces this cutting-edge tool!

You may ask, why should we care?

Imagine, with this feature, you won’t have to spend as much time digging into keywords – the AI does the hard part. Plus, having a handy list of fresh targeting options could make your campaigns more effective and reach a wider audience.

What Is Keyword Suggestions & What Does It Look Like?

It’s a fresh feature you can find in Reddit Ads Manager.

This tool harnesses the power of machine learning to come up with just the right keywords for your ads. Then, it sorts these suggestions based on how many people view them on Reddit each month, all while making sure any inappropriate content doesn’t make the cut.

The forum has officially provided this screenshot for users:

                                                                                 Reddit AI Keyword Research Tool Interface

How Does This Reddit AI SEO Tool Work?

Reddit’s Keyword Suggestions feature is pretty smart.

It uses fancy tech, like machine learning and understanding language like we do, to give advertisers really good suggestions. But it doesn’t stop there; it’s also careful about where it suggests these keywords.

So, what it does is, it has this machine learning thing that does the heavy lifting.

It looks through all the posts and talks and picks out the ones that match what advertisers are looking for. This way, advertisers can show their ads to the right people in the right place, making sure everything’s a good fit.

Conclusion

Reddit’s venture into AI-powered tools, such as the innovative Keyword Suggestions feature, marks an exciting step forward.

This dynamic platform, already known for its vibrant and diverse communities, is now empowering advertisers to reach their audiences more efficiently. With AI handling the heavy lifting in keyword research, campaigns are set to become more impactful.

This leap into SEO signifies the platform’s commitment to adapt and thrive in the tech world.

The community’s rapid growth showcases the potential benefits of this AI tool. So it’s clear that the company’s dedication to enhancing the user experience and catering to evolving needs is unwavering.

So, whether you’re a seasoned Redditor or new to the platform, Reddit’s journey into AI and SEO promises to bring even more excitement and opportunity to its community.

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The post Reddit betting on AI Keyword Research Tool For SEO. appeared first on Fixbracket.