Investors are sending a strong signal to the software, wealth management, legal services, and logistics sectors: AI is coming for your business. Powerful new AI tools have been released while the stock market is sliding, affecting sectors like drug distribution and commercial property. Experts warn AI could make millions of white-collar jobs obsolete or cut company profits. Carl Benedikt Frey, an Oxford professor, says AI makes once-rare expertise cheaper and faster, squeezing profits even before jobs vanish. This fear grew with a viral essay by AI entrepreneur Matt Shumer titled "Something big is happening." He compared the moment to pre-Covid times and predicted AI will target coding jobs first, then "everything else." The essay got 80 million views on X but also drew criticism for hype. New AI models like Anthropic's Claude Opus 4.6 and OpenAI's GPT-5.3-Codex show these fears aren't unfounded. However, big tech companies building these models, called AI "hyperscalers," plan to spend $660 billion this year, but lack clear ways to earn big profits. For example, Nvidia and OpenAI dropped a $100 billion deal recently. Investor fears shifted from excitement over AI spending to worries about cash burn. Share prices of Alphabet (Google's parent) and Meta fell amid concerns of an AI spending bubble. Investors believe companies must make money from users who pay for tools that reduce workloads and boost productivity. Experts say fears of massive job losses are overstated so far. Greg Thwaites from the UK thinktank Resolution Foundation says evidence of AI’s impact on jobs is still "quite ambiguous." He doubts lawyers and accountants will flood the streets unemployed soon. Alvin Nguyen, analyst at Forrester, calls the market shake "a knee-jerk reaction" since AI-powered services have yet to prove results. Radical Ventures' Aaron Rosenberg says AI’s long-term impact is underestimated but adoption will take time. Some high-profile tech workers are leaving AI companies due to boredom, fears, and controversies. As investor Jason Borbora-Sheen puts it, "There is a strong winners versus losers dynamic." The AI race continues, but the outcome remains uncertain.