Are you fully embracing AI, or are you preparing for an impending AI disaster?
As Wall Street anticipates soaring profits from artificial intelligence companies and chip manufacturers, everyday people are expressing concerns about large, noisy data centers that consume a lot of resources—and, of course, the fate of their jobs. Many are likely turning to their chatbots to make sense of current upheavals.
However, the future of AI remains quite uncertain, even for those labeled “experts.” A case in point is Leopold Aschenbrenner, a 25-year-old often called the “Nostradamus of AI,” whose ambitious hedge fund, Situational Awareness, struggled due to risky investments in a volatile sector.
Despite this notable setback, much of the fear and speculation surrounding an AI “bubble” is, broadly speaking, misplaced. On the other hand, investing in stocks based on inflated expectations of AI or new IPOs is a bit overconfident.
Indeed, as we scrutinize each opportunity—whether it appears to be a false alarm, a puzzle, or a once-in-a-lifetime chance—it’s crucial to recognize that truly knowing something others do not is pretty much impossible. After all, the stock market tends to reflect these prospects well in advance.
Critics of AI are sounding alarms about rapid and difficult changes, one of which is the highly publicized “jobpocalypse.” In fact, AI is the leading reason cited by U.S. companies for job cuts anticipated in 2026. Tech layoffs this year have already exceeded the total for all of 2025. For instance, Oracle is reportedly considering more layoffs next month to manage its significant AI infrastructure costs, following a reduction of over 20% of its workforce in the past fiscal year.
One major error made by those predicting doom? They wrongly assume that innovation solely destroys jobs without creating new ones—a classic misconception.
In 1981, economists warned that computers would lead to massive unemployment. What actually transpired? Job roles evolved, and workers acquired new skills. The economy flourished during the ’80s and ’90s, a pattern that’s been consistent throughout history and will likely continue.
To date, evidence suggests that AI often leads to retraining and increased hiring rather than widespread job loss. Many companies, like IBM and Ford, that laid off employees due to AI advancements are now looking to bring back similar positions—largely because they underestimated the importance of human oversight and judgment.
In reality, the share of layoffs directly attributed to AI is relatively small. For example, tech companies like Jack Dorsey’s Block, which cited AI as a reason for cutting nearly half its workforce in February, had actually just over-expanded after the pandemic. AI has conveniently become a scapegoat.
AI is poised to hugely impact some industries while having a lesser effect on others. Will it make pizza or duct tape better? While it might help optimize logistics for their distribution, the answer isn’t clear beyond that.
Major innovations usually don’t fall into black-and-white categories. For example, food delivery platforms like Uber Eats and DoorDash boomed even as grocery and restaurant sales grew. Traditional retailers transformed with the arrival of big-box stores, followed by the rise of online shopping. Still, small businesses find ways to thrive in niche markets.
Optimists often underestimate the pace of significant change. Remember the internet? It unfolded slowly—from sluggish dial-up connections to broadband and then wireless communications, leading to affordable laptops and smartphones, along with social media and e-commerce. This evolution took decades.
When it comes to AI, there are genuine concerns about the energy and water demands of data centers. These issues, along with political resistance and chip shortages, will likely impede global adoption.
So, anticipate substantial changes… eventually. In time, AI will allow young lawyers to focus on more productive tasks instead of repetitive ones. Eventually, we may see a rise in self-driving vehicles despite initial resistance in places like New York, potentially easing truck driver shortages and granting independence to those with disabilities.
AI will undoubtedly benefit large financial institutions, but will it replace everyone? Probably not. Customers often value not just expertise, but also accountability. It’s hard to hold an AI system responsible for errors in your taxes. Plus, there are significant data privacy considerations.
With aging populations, there’s a pressing need for AI-driven efficiencies in healthcare. New technologies are emerging that can detect falls and monitor vital signs, which can assist families juggling work and elder care.
Improving efficiency is valuable, but no successful company ever transformed the world by merely doing the same tasks more efficiently. The best organizations identify and tackle new, uncharted challenges to enhance our lives. AI’s true potential lies not in cutting jobs but in augmenting the workforce.
So let’s temper the sensationalism and panic. Capitalism is always evolving, but the reality is it tends to advance like a tortoise rather than a hare. There can be some bumps along the way, but overall, the outlook remains positive.
