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REPORT: The Top 8 AI Trends Transforming Business Now - Clones, Disruption, and The Dawn of a New Marketplace.

Updated: Jul 12

AI Trends: The Revolutionary Impact of AI Cloning on Workforces and More
AI Trends: The Revolutionary Impact of AI Cloning on Workforces and More

In the ancient Greek myth, Pandora opened a box out of curiosity and inadvertently unleashed all evils into the world, leaving behind only Hope. As we stand at the precipice of a colossal shift in 2024 - a year promising unparalleled technological marvels - we can't help but wonder, is Artificial Intelligence (AI) our Pandora's Box or a beacon of hope?

From the transformative prospects of AI Cloning that could rock the foundations of workforces, to the spectacular revelations of Generative Pretrained Transformers (GPTs), the landscape of AI is undeniably resonating with boundless possibilities. However, like Pandora's box, unleashing AI's full potential isn't devoid of concerns.

An AI-driven 'SEO heist', a menacing mistrust in AI quality, and rising concerns over plagiarism highlight a tumultuous undercurrent. Not to mention the prophetic revelation from PwC that AI could replace 5% of the worldwide workforce in 2024.

As we journey through this exciting, albeit complex narrative, we will delve into the top trends of AI in 2024, examining the profound implications. In this Tango of tantalizing opportunities and sobering warnings, how can you navigate the dance floor of this digital revolution?

Whether we're looking at a glorious dawn of flexible lifestyles and amplified productivity or opening Pandora's box, one thing is certain – the year 2024 in AI will be a game-changer.

Stay with us as we chart this intricate dance, exploring the concern and stepping into the whirlwind of opportunity. Will you be prepared to face the music?




1. AI Cloning Will Disrupt Workforces and Clients' Services: A New State of Play. Will You Be Cloned Next?

AI Trends: The Revolutionary Impact of AI Cloning on Workforces and Client Services
AI Trends: The Revolutionary Impact of AI Cloning on Workforces and Client Services

The marching beats of technology reverberate with a rhythm that signals both promise and caution. Pioneer in this paradoxical terrain is AI cloning: a rising star with the transformative power to redraw the boundaries of our workforces and client services.

A passive observer may only notice the subtle shifts in the landscape, but the ground beneath our feet is undeniably changing. The warning bells mingle in harmony with the overtures of progress.

Not long ago, the notion of cloning someone with uncanny precision belonged in the pages of a science fiction novel. Today, it's our reality and all set to recast our professional narratives. Leading this evolutionary charge, platforms like Aphid inaugurate a new epoch where AI doppelgängers might shoulder our mundane burdens and set revolution afoot in the traditional workforce.

Pioneering companies emerge on this avant-garde platform, crafting groundbreaking products and services that offer the tantalizing prospect of earning a livelihood from our AI counterparts.

This groundbreaking trend signals the burgeoning marketplace where:

  • Human skills are digitizable and replicable

  • In-depth expertise can be commodified and deployed profitably

  • Trailed by your digital twin, a new world order takes shape: one where you may rest, run or learn the mambo while your AI self is hard at work

Taking a leaf from Aphid's playbook, another company called "Alt-Inc" is also making impressive strides in the AI clone market, cloning their employees, and paying them for the work their clones do.

Alt Inc., is carving an innovative path by developing AI counterparts for its roughly 100-person team. These AI clones are tasked with routine duties and information dissemination. Information from a variety of sources such as AI-driven meeting records, internal discussions on platforms like Slack, work data hosted on Google (including documents and emails), as well as data from particular webpages, CSV files, PDFs, and other formats, is compiled and analyzed.

By weaving in personal interests and preferences, these clones are designed to learn and evolve daily, aiming to reach a stage where they can mirror the cognitive processes of the individual they're modeled after.

The Top 3 AI Cloning Tools to Watch are:

  1. ElevenLabs - Voice Cloning:

  2. HeyGen - Video Cloning:

  3. GPT's - Clone Writing / Personality / Tasks

However, it raises a thought-provoking question. As the marketplace undergoes this transformation, would anyone be interested in subscribing to your AI clone for its unique expertise?

Cloning someone's voice or likeness without their permission, will continue to make headlines.

Did OpenAI steal Scarlett Johansson's voice? OpenAI has since paused the "Sky" voice feature in GPT-4o, but Johansson argues that this is no coincidence - and, it appears she has receipts! In response, Johansson delivers a masterclass for entrepreneurs on navigating the AI era successfully.

Watch the video above for the full-breakdown of this story and the implications it has for business owners and their digital and intellectual property rights.

2. Unveiling GPTs: The Revolutionary AI Trend Redefining Our Future, But, it Comes With a Warning

"AI Trends: Exploring the Impact of Generative Pretrained Transformers (GPTs) on Our Future"
"AI Trends: Exploring the Impact of Generative Pretrained Transformers (GPTs) on Our Future"

In the constantly evolving landscape of technology, Generative Pretrained Transformers (GPTs) are rapidly emerging as game-changers. But what exactly are these digital marvels, and how will they shape our future? The journey into understanding GPTs is as riveting as it is complex, with a fascinating mix of limitless possibilities and inevitable challenges.

GPTs, products of OpenAI's brilliant minds, are advanced AI tools designed for a myriad of applications. They can be adapted for individual needs, be it at work or at home, making tasks as varied as teaching kids math or understanding complex board game rules easier than ever before.

The remarkable edge that GPTs have over other AI tools is their user-friendly nature. To build a personalized tool powered by GPT, you do not need any coding knowledge. Just craft a conversation, give your AI tool some instructions and set it off on tasks ranging from web surfing to data analysis.

Yet, for all their versatility and promise, GPTs are not without their challenges. The potential to digitally clone an individual's knowledge and personality has raised pressing ethical concerns. Who owns these digital clones? What about the issue of consent? Are we entering an era of unprecedented advancement or opening Pandora's box?

A new field of Digital Rights Management will emerge to protect users from being taken advantage of.

Digital Rights Management (DRM) refers to a collection of techniques and methods developed to safeguard and control the distribution and use of digital content. The main aim of DRM is to prevent unauthorized redistribution of digital files and manage the conditions under which copyrighted materials can be used. For example, a popular application of DRM is in music streaming services like Spotify. DRM on Spotify restricts users from copying, transferring, or altering songs in any way, ensuring that the music can only be played within their streaming platform, hence protecting the copyrights of the artists and music companies it works with.

As the narrative around GPTs continues to unfold, expect an exciting mix of innovation, exploration, and frank conversations about the technological future we're building. There's no doubt; GPTs will be a major player in this story, offering immeasurable benefits while posing unique challenges. As we move further into the realm of AI, the understanding, usage, and regulation of GPTs will surely be a pivotal part of that story

Especially when employers clone employees to replace them, or, when customers clone the services of their much needed service providers, like attorneys, travel agents, copywriters, and marketing agencies.

We're entering a new legal playing field most are ill-equipped to manage. As the general public becomes more educated on these challenges, workers rights will take center stage.

Check out the GPT feature yourself at

3. An Unprecedented AI-Driven 'SEO Heist': The Imminent Threat to Online Content and How Businesses and Influences Must Respond

AI Trend: AI Gurus are telling business owners to deploy the same strategy that got this man blacklisted from Google!
AI Trend: AI Gurus are telling business owners to deploy the same strategy that got this man blacklisted from Google!

In an unnerving revelation, an AI-driven 'SEO heist' led to the siphoning off of 3.6 million visitors from a renowned content hub, Exceljet. Jake Ward, an established content strategist, admitted to using a specific AI writer to replicate content from Exceljet.

He managed to steal a staggering number of website visitors after feeding 1,800 URLs into this AI machine. This incident underscores the stark reality we are barreling towards: the era of disposable content.

This 'SEO heist' does not merely represent a novel form of competition but signifies a seismic shift in the digital marketing landscape. Businesses attempting to command a significant virtual presence must grapple with an avalanche of AI-generated content that is threatening their market share and, by implication, their incomes.

Businesses that predominantly rely on organic traffic for revenue generation—including those that leverage it to pay salaries—find themselves at an especially critical crossroads. The challenge is two-fold. First, in a marketplace bustling with AI-generated content, they need to conquer Google's organic search results. Second, they need to strategize innovatively to counter the influx of more disposable content.

How can businesses distill this challenge into actionable steps?

Preparation is paramount. A meticulous assessment of their current content strategy is the first order of the day. By accurately gauging the level of threat posed to their organic traffic, companies can better understand their vulnerabilities and strengths. It's the primary step towards fortifying against AI's encroachment into their customer base.

Moreover, businesses should reorient themselves to adapt to the rapidly evolving digital environment. This shift could involve reimagining their branding, prioritizing the creation of unique and engaging content, and innovating new ways to connect with their audience. They should also consider investing in AI and machine learning tools that can help decode Google's search algorithm, gain insights into their competitors' strategies, and enable them to respond swiftly and effectively.

Furthermore, they could also consider adopting AI tools wisely within their strategy—fighting fire with fire, so to speak. By harnessing AI's power judiciously, they could potentially beat competitors at their own game. It is, after all, not just about surviving in the game, but reshaping it to their advantage.

But, before you attempt an SEO Heist, beware! Due to Ward's public boasting, Google penalized his site, dropping his organic search traffic down to zero.

That doesn't mean you can't achieve ethical results, by integrating your own style, content, and SEO principles in combination with the tool that Ward used, known as

4. AI Quality Decline: The Threat Explained and How It Impacts All of Us

AI Trend: Quality of AI Models May Improve Before They Sharply Decline
AI Trend: Quality of AI Models May Improve Before They Sharply Decline

The prolific growth of generative AI has brought along striking developments and advancements. Yet, concerns are emerging around one facet that we often take for granted: the quality of AI outputs.

A gradual, discernible dip in quality has been confirmed by users and researchers, and as per OpenAI, the cause is uncertain. However, scientists may have found a plausible reason for this concerning phenomenon: when AI starts training on AI-generated data.

The Conundrum: AI Feeding on AI

Researchers at revered institutions like Rice and Stanford University have discovered a disconcerting trend. They found that when AI models are fed AI-generated content, they tend to exhibit a drop in their output quality. In simpler terms, it's as though AI starts to "go MAD" when regularly ingesting data created by another AI.

Imagine a group of students who only ever learn from each other instead of learning from their teachers, books, or real-world experiences. Over time, misunderstandings, biases, and errors among them would compound, leading to degraded quality of knowledge. That's akin to what's likely happening with AI here.

An Accelerating Crisis

This problem was already causing ripples across the AI world. However, with the internet becoming rapidly inundated with AI-created content (the digital equivalent of exhaust fumes), the erosion in output quality could accelerate at unprecedented rates.

Essentially, as the AI universe expands, it continues to generate more content, which then feeds into other AI systems, creating a vicious cycle that erodes the quality of results we receive. It is the snake eating the snake.

How to Combat it

Addressing this issue requires an all-hands-on-deck approach from AI companies. Training models — the foundational structures of AI — have to be revisited and revised. Companies will need to ensure that their AI learns from diverse, quality, and human-created content, not just AI-generated data, thereby reducing the risk of multiplying any errors or biases.

Moreover, attention needs to be given to legal corners. The acquisition of copyright data for training AI models needs to happen with proper legal adherence. Ensuring the data's legality can further maintain the quality of information AI systems learn from and, consequently, the quality they output.

In plain terms, if managed inconsistently, AI could go awry, causing a significant setback to the advancements we have experienced. Considerations of quantity, speed, and AI capabilities must be balanced with ensuring maintained output quality. It is essential for AI companies to steer their way maturely through this challenge, and for users to be discerning about the AI-generated content they consume, for the continued beneficial impact of AI on our lives.

5. Turbocharge Efficiency With 'Prompt Chaining': The AI Revolution in Content Creation and The Difference Between Chat and Workflows

AI Trend: This Prompt Chaining Technique is Picking Up Speed, And For Good Reason.
AI Trend: This Prompt Chaining Technique is Picking Up Speed, And For Good Reason.

The term 'Prompt Chaining' will dominate in 2024, and for good reason.

The realm of digital content creation has seen a revolutionary impact through AI tools. They have transcended the boundaries of mere simplification and are transforming the content creation methodology. A stellar group within this revolution is text tools, known for their prowess in creating and refining written content. presents two primary facets for content creation – Chat and Workflows. Here, 'Chat' refers to an AI interface that communicates with users, essentially responding to their questions and generating content based on user instructions. This user-centric tool is fashioned to be highly interactive, satisfying individual content needs in a hassle-free manner.

On the other hand, the 'Workflows' function is sophisticated. Designed for substantial tasks, it boasts the capability to automate an entire process. It also includes an innovative technique known as ‘prompt chaining,’ which aids in the production of more intricate content.

To draw a distinction: While 'Chat' makes content creation a breeze for single users desiring an easy-to-use interactive tool, 'Workflows' are better equipped for the demands of organizational-level tasks, including large-scale content generation and task automation.

Both these elements of are crafted bearing in mind the imperatives of precision and efficiency, and they aim to serve diverse content creation needs.

AI Trend: AI Automated Workflows Will Replace Repetitive Tasks
AI Trend: AI Automated Workflows Will Replace Repetitive Tasks

To provide a real-world example of using the 'Workflows' tool from, consider a marketing team working on extensive content planning for a new product launch. Using 'Workflows', they can automate and manage tasks that they would typically handle manually, such as brainstorming product taglines, creating various versions of product descriptions, or generating catchy social media captions.

By integrating 'prompt chaining', they can develop detailed content pieces like blog posts or in-depth articles related to the new product, with minimal manual input. This improves efficiency and allows the team to focus on other critical areas of the product launch.

However, this is also why AI will result in mass layoffs as workflows become more automated and fewer people are required in the making of a product, or the delivery of a service.

6. Plagiarism Concerns Will Take Center Stage, Users of AI Will Need to Check Their Work

AI Trend: AI Plagiarism is Set to Increase as Business Owners Drop Their Guards.
AI Trend: AI Plagiarism is Set to Increase as Business Owners Drop Their Guards.

Business Insider reported in November that OpenAI CEO Sam Altman will defend customers and pay the costs incurred if they face legal claims around copyright infringement. This includes ChatGPT Enterprise and API; notably, however, it didn’t include users of the free version of ChatGPT or ChatGPT+, which could expose enterprises to lawsuits if staff do not understand the new dynamics.

These worries stem from multiple factors, including AI's learning process, potential oversights in training data, and the proliferation of digital content. As these concerns catapult to center stage, users of AI tools will need to keep a vigilant check on their work, particularly those offering content creation services. Taken lightly, they could be wading into dangerous waters of legal trouble.

In December of 2024, The New York Times sued OpenAI and Microsoft for copyright infringement over unauthorized use of its published work to train A.I technologies. The lawsuit alleges that the companies used millions of Times articles to train automated chatbots that are now its competitors. The Times, now demanding billions in statutory and actual damages, wants chatbot models using its copyrighted material destroyed.

This lawsuit will be consequential to the future of AI, has legal boundaries begin to be put in place, not just to protect companies that have their copyright work ingested by these models, but users who may inadvertently reproduce copyright content and face consequences.

How Does AI Learn?

AI learns by consuming large amounts of data from various sources, which significantly includes digital text content. The more diverse and extensive the consumed data, the better the AI model performs. However, an AI may unknowingly replicate phrases, ideas, or structures resembling original texts from its training dataset, raising plagiarism concerns.

The Focus Shifts to Training Data

Often, training data for AI models are user-generated and therefore contain copyrighted content. Use of such protected material in the AI's output could lead to copyright violations. Moreover, while big tech companies do aim to anonymize and cleanse their training data comprehensively, gaps could still exist and potentially leak into the AI’s output.

In an era where content is king and the digital landscape is ripe with information, it's possible for AI 'to stumble across the line,’ machine-generating content resembling someone's original work. This raises obvious plagiarism concerns.

Staying In The Clear: Proactive Measures You Can Take

Several measures can be taken by users of AI tools to avoid potential plagiarism.

  • Manual Checks: By meticulously reading through AI-generated content, users can identify any unusual phrases or ideas that stand out as potential plagiarism.

  • Use Plagiarism Detection Software: Users can run their AI-generated content through plagiarism detection software to ensure the content is unique.

  • Reference Properly: If the AI tool does use certain ideas or phrases from other texts, referencing them correctly can help avoid copyright issues.

  • Customized AI Guidance: When using AI tools, one can guide the AI to generate content in a certain fashion or tone, minimizing the risk of content resembling its training data.

AI's potential to enhance productivity and revolutionize content creation is beyond question. However, the risk of inadvertent plagiarism can lead to both professional and legal repercussions. Being cautious while using AI tools, manually reviewing AI-generated content, using plagiarism detection software, and customizing AI outputs are essential steps to mitigate these risks.

AI Trend: Plagiarism Checkers Will Be Enforced in The Workplace to Prevent Copyright Infringement
AI Trend: Plagiarism Checkers Will Be Enforced in The Workplace to Prevent Copyright Infringement

Ensuring AI tools produce unique content and being aware of potential borrowing from copyrighted sources can keep users on the right side of the law and ethics. By keeping these points in mind, the convenience of AI can be leveraged while maintaining originality and integrity in content.

A Crystal Ball into AI and Plagiarism: What Lies Ahead?

By the end of 2024, I suspect that AI tools like ChatGPT, and CopyAI will have installed plagiarism checkers into their tools to do it automatically. However, I also suspect that this may degrade the quality of outputs and a tremendous effort will need to be undertaken to correct the issue.

In the interim, Grammarly's plagiarism checker will become a staple tool.

7. Job Cuts: AI Set to Replace 5% of Worldwide Workforce by 2024, PwC Study Reveals

AI Layoffs Will Increase Within The Next 3-5 Years, But Will Present as 'Hiring Freezes.'
AI Layoffs Will Increase Within The Next 3-5 Years, But Will Present as 'Hiring Freezes.'

In a recently conducted survey by PwC, it was discovered that roughly a quarter of global CEOs plan to reduce at least 5% of their workforce as a result of incorporating generative artificial intelligence (AI) into their operations. The survey, made public on January 15, collated insights from more than 4,700 CEOs hailing from 105 countries, and close to a third cited the use of generative AI in their business processes.

Interestingly, the report from PwC hints that companies putting job cuts into action for improved efficiency might counterbalance this by employing people in different divisions. As per the report by PwC, "While 14% of CEOs in the technology sector foresee workforce contraction in the upcoming year due to generative AI, 56% also foresee employment growth in 2024."

The findings reveal sectors like media, entertainment, banking, capital markets, and insurance are more predisposed to employment reductions resulting from generative AI. Conversely, industries including engineering, construction, technology, metals and mining seem to be less vulnerable to AI-induced dismissals.

The report also stated, an overwhelming 70% of CEOs predict that AI will redefine their business models within the next three years, signifying an urgent need for their workforce to learn and master new skills in that period.

While there is optimism of job redeployment, Google latest announcement of 30,000 possible layoffs cause calls of concern. As reported by Business Today, the giant is looking to reassign or let go of 30,000 workers in the ad sales units whose jobs were automated by Google's new AI based ad tools.

The question is, did Google train its AI on their staff's work before laying them off and was permission given or even needed?

While we don’t know for sure, what we do know is that there is financial incentive for employers to clone employees to reduce headcount.

As employees transition to learning how to incorporate AI into organizational operations, it's possible that those very individuals may face job termination once those systems become operational. The age-old adage, "it takes a village," may soon be a thing of the past when it comes to managing a company. Instead, the future may behold compact, agile teams bolstered by AI support.

Workers' and CEOs' Preparation Checklist:

  1. Stay Updated: Keep abreast of the latest news and technological trends as they could potentially reshape your industry.

  2. Learn and Adapt: Prepare yourself to adapt quickly to new technologies. Acquire tech-related skills that align with your industry's direction.

  3. Continuous Learning: Emphasize lifelong learning. Try to learn new skills, both within and outside your field, as they can prove extremely beneficial in the long run.

  4. Embrace AI: Understanding the fundamentals of AI will enable you to incorporate it into your work more efficiently, providing a competitive advantage.

  5. Be Versatile: Cultivate a diverse set of skills. This increases your employability, even in areas outside of your key specialization.

  6. Be Prepared for a Legal Minefield: AI is great, until it is your copyright work or proprietary information that is used to train AI models, undercutting your ability to derive an income. Always think 5 - 10 years ahead to be prepared for what happens next.

By following these steps, you can align yourself with the evolving job industry and stand out even in the era of AI-induced transformations.

8. Realtime Chat Will Take Precedence Following OpenAI's GPT-4o Mind Blowing Upgrade

In case you missed the buzz, GPT-4o is OpenAI's latest model, promising to be twice as fast and 50% cheaper than GPT-4, with plans to make GPT-4 free to users. The biggest transformation lies in GPT-4o's enhanced voice and conversational abilities, allowing it to adapt its speaking style to be more dramatic or sarcastic. Additionally, a new real-time camera feature enables users to point their camera at something and receive real-time responses from the AI. These advancements are poised to revolutionize various business applications.

One significant enhancement will be the rush of new AI tools designed to improve customer service by incorporating GPT-4o's capabilities.

Imagine a customer support system that can analyze video or image issues in real-time and offer immediate solutions, reducing the need for human agents.

Another transformation is real-time multilingual communication and translation services, opening up international business opportunities but also increasing competition. Finally, interactive marketing campaigns using conversational AI will blur the lines between human and AI interactions, demanding greater transparency and trust from businesses. These advancements present both exciting opportunities and significant challenges, underscoring the need for businesses to adapt proactively.

Are you prepared?

These trends will shape how AI impacts us. It's important for everyone, including individuals and businesses, to grasp their effects, such as ethical concerns and copyright problems. This knowledge helps us take full advantage of AI's benefits while tackling the challenges that come with it.

By reading this, you are in the top 1% of individuals preparing themselves for the future. Yet, we are still only scratching the surface, which is why I wrote, 'The Wolf is at The Door - How to Survive & Thrive in an AI-Driven World.'

AI book,
Ben Angel's new book breaks down the threats and opportunities in the age of AI

Together, we will explore how artificial intelligence will reshape work, commerce, relationships, and reality? As AI shatters barriers and ascends to CEO positions, rewriting the rules of our world, it renders millions who were previously considered impervious, vulnerable to its effects... unless they prepare.

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