Since it is impossible to avoid this topic, whether we want to or not, I asked ChatGPT and Perplexity AI to search the internet and give me an overview of predictions for the next 5, 10, and 15 years by professions that will be replaced, along with concrete data and examples of where we currently stand with this. Of course, taking into account the limitations of the search and the technology, and trusting that 70%-80% of the answer is true, with the rest needing to be supplemented through my own research. The lack in answers was the exclusion of concrete examples and current statistics, so I immediately organised a call with the Quantum Insider platform, which seemed to have my wishes in their functionalities offer. I decided to discover the answers within my ScaleWise Data Intelligence software for like-minded individuals, curious minds, enthusiasts, and all those who will be interested in this topic and this approach to analysis.
Asked ChatGPT & Perplexity AI
What percentage of the workforce is expected to be impacted by AI today, and how might this change over the next 5, 10, and 15 years? Can you provide a detailed breakdown by industry and profession?
Office and Administrative Work, Legal Field, Accounting and Bookkeeping, Sales and Retail, Warehousing and Logistics, Customer Service, Manufacturing and Retail, Data Processing and IT, Transportation, Creative Industries, Education, Healthcare, Finance, Agriculture
Secretaries, data entry clerks, and administrative assistants, Paralegals, legal researchers, and contract reviewers, Bookkeepers and accounting clerks, Retail cashiers and telemarketers, Call center representatives, Assemblers and machine operators, Data analysts and software testers, Truck drivers and delivery personnel, Graphic designers and content writers, Radiologists and diagnostic technicians, Teaching assistants and graders, Financial analysts and traders, Farm laborers and crop inspectors
The questions that keep me awake the most are:
AI is not a new technology, so how come it didn’t showcase its potential earlier, and there wasn’t much talk about it, yet now, overnight, everything is about AI? When did they manage to develop all of this and make such advancements while we, who are in the tech world and are obligated to follow these trends, didn’t notice? Or were the announced initiatives delayed in development, and now there’s a sprint to catch up?
Could it be that everything was intentionally slowed down in recent years to enable the AI agenda, and now investments in regular startups have dwindled?
Where is the data on how much is being invested in AI, how liquid these businesses are, how long they last, and when they shut down? In which industries is AI used the most, and for what exactly?
How is it that technology has alienated us and turned us into unthinking individuals because each new technology eliminates the joy of discovery, learning, connecting, and effort? Instead, it promises everything at a click, in a second. Yet now, empathy and subtle emotions are supposed to save us when we no longer have them?
Is there, between the lines, an intention for us to think this way, to be scared, tense, and constantly proving ourselves because there’s always a machine hanging over our heads? A machine without emotions, that never questions, never sets boundaries, has no desires, insecurities, or fears, and is always available to say what we want to hear and do what we tell it to?
Finally, managers with questionable skills will be able to breathe easy because they no longer need to work on themselves and improve, as technology perfectly fits that style.
It is still too early to draw conclusions or make predictions, and if any can be made, they can only apply to specific areas and cases, not comprehensively, as everything is still contradictory. From surveys where 70% of respondents claim AI is being used, to the inability to find concrete data on which companies use AI, for what exactly, and to what extent, to the questionable technological progress that ultimately depends on human development—since the source of AI’s power lies in people.
What is clear is that the potential of AI is undeniable, and over time, in both scenarios of development, many skills, services, and areas of knowledge will become less valued because they will be overly accessible, too easy, and lose their worth.
All of this, with my questions and the responses from AI tools, suggests that the future—at least in the nearer term—lies in strategic thinking, emotions, emotional intelligence, and in complex and intricate fields requiring a high degree of intelligence, intuition, and analytics. This, consequently, leads us to the conclusion that we should all strive to become strategists, which implies that everyone must have the capacity to do so.
But is there really such a need for everyone to be a strategist? And what happens when even that becomes automated, as has already been the case with chess games? For instance, in The Queen’s Gambit, where the protagonist learned the winning combinations of the greatest grandmasters and used them to win competitions.
It is clear that these are not the times of humanity’s Golden Age or the Age of Aquarius when man was at the center and everything was focused on his success and prosperity. Also, it is no secret that throughout history, under the guise of good and goodness, the greatest atrocities against humanity have been committed—consciously, unconsciously, or when things go off plan and spiral out of control—all in the name of success, power, glory, rule, and wealth.
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