The Tech Sell-Off is Putting the AI Trade on Notice. An Expert is Questioning Whether the Spending is Justified.
The Nasdaq Composite fell more than 3% on Friday, its worst day since June.

Amazon and Intel's stock sell-offs are exposing a pressure point in the artificial intelligence trade that investors increasingly want companies to show how enormous spending commitments will produce profits, rather than simply promise a place in the next technological revolution.
The selling spread across technology stocks Friday as Amazon's cash outflows and Intel's warning about cash burn intensified scrutiny of the AI infrastructure boom. The Nasdaq also fell to its lowest level in nearly three months.
Amazon reported negative free cash flow of $42.4 billion over the preceding 12 months. Its latest results also indicated further increases in AI spending. "Although Amazon and Intel have different issues, both raise the same question; at what stage does a company have to increase its investment to such a degree that it becomes financially detrimental if there is little to no return?"
Mark Vena, CEO and principal analyst at SmartTech Research, said investors are becoming less willing to accept spending plans without specific financial milestones. "My view is that investors and overall market sentiment are losing patience with AI spending that comes with an impressive price tag and a vague payback date. AI can transform an industry and still disappoint shareholders if the economics don't work."
"However, I would be extremely careful about treating Amazon and Intel as the same story, because Intel (especially) also faces weak PC demand and manufacturing challenges. Both reinforce a tougher standard for tech companies: ambitious investment plans need credible execution and a path to stronger cash flow," Vena added. Intel warned it would burn cash this year while facing weak personal computer demand, manufacturing hurdles and heavy spending to expand production.
Vena expects a more selective market, with investors favoring companies that convert adoption into profitable revenue. "I absolutely expect the AI trade to become more selective, with investors rewarding companies that turn adoption into profitable revenue," he said. "From my point of view, having 'AI' (that magic word) in the investor presentation will carry less weight than showing customers who keep paying after the pilot ends."
"Putting all of these factors aside, this should be a warning to every management team that assumes investors will tolerate unlimited spending because the opportunity is enormous," Vena said.
For management teams, that means explaining how investment matches customer demand, establishing milestones and showing a willingness to change course when returns disappoint. "The smart response is to tie investment to measurable demand, explain the key milestones, and show the discipline to adjust when the numbers fall short," Vena said.
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