Economic Wire: OpenAI and Anthropic face new AI reality as companies shift

The AI Spending Party Isn’t Over. It’s Just Getting Selective.

According to CNBC, companies are pulling back on broad AI spending and demanding actual returns on their investment, a shift that could meaningfully slow growth at the biggest private AI labs, including OpenAI and Anthropic. The headline frames this as a threat. The more interesting read is that this was inevitable, and what comes next could matter more than the slowdown itself.

The “tokenmaxxing” era, where enterprises threw money at AI to maximize usage and capability, was the exploration phase. What’s replacing it is the monetization phase, and those two phases have very different economics. For the AI labs, it means top-line pressure as customers optimize rather than expand. But for the broader economy, a shift toward efficiency-focused AI deployment is actually where productivity gains get realized. Businesses extracting more value per dollar spent on AI is exactly the mechanism through which AI becomes a genuine growth driver, not just a cost center.

This connects directly to the profit margin picture. Early-stage technology adoption is almost always a margin drag for enterprise buyers: high costs, uncertain returns. When the wave shifts to efficiency and measurable ROI, margins on the user side start recovering. The labs may see slower revenue growth, but the installed base of businesses learning to use AI well is what builds the durable demand underneath.

Historically, investors have navigated this kind of transition carefully. The companies that survived the post-dot-com shakeout weren’t the ones that raised the most money during the boom. They were the ones whose tools were genuinely embedded in how customers worked. The question worth sitting with is which AI platforms are becoming infrastructure versus which are still fighting for attention.

The VIX sitting above 20 while defensive sectors lead suggests markets are already asking some version of that question.

Bottom Line: The AI spending story is shifting from “how much” to “does it work,” and that distinction will sort winners from losers faster than any funding round.

Read more: CNBC Top News

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