Eric Ries, longtime startup thinker and an Anthropic governance advisor, pushed back hard on the idea that AI is already turbocharging corporate productivity. He argued that some cost cuts are being dressed up as AI wins, that private valuations look detached from fundamentals, and that Anthropic itself shows both the promise and the puzzle of AI-native gains.
Ries laid out his skepticism on CNBC, saying bluntly that the hard evidence of game-changing productivity just isn’t showing up yet. “It’s very, very, very early to see the impacts of AI. We see the data that many companies that have adopted AI have not seen any productivity improvements, let alone 40% across the board improvements,” he told the show, questioning the case behind massive infrastructure bets.
One of Ries’s sharpest charges targets how companies brand routine reductions. “I think so many of these corporate layoffs are just the typical corporate purging. But if you put the AI label on it, then your stock goes up instead of down,” he said, suggesting labels can reshape investor narratives without changing underlying economics. That critique sits against louder voices who downplay job fears — Jensen Huang has called fears of AI-driven job loss “nonsense” — and against examples of firms saying AI replaces junior roles, but Ries notes that Dario Amodei’s sister recently observed that job losses attributed to AI have not yet materialized.
Ries also turned a skeptical eye toward private-market mania. He described how early Anthropic supporters who were reluctant at a $5 billion price later sought entry at wildly higher valuations, and he warned about the psychology of “pay any price” behavior. “I worked so hard to get people into Anthropic at a $5 billion valuation when nobody wanted to do it. And then I had those same people begging me for the chance to get in at $500, $800, $1 trillion at any price. I’m reflexively skeptical anytime people are willing to pay any price,” he said, framing that appetite as a classic late-cycle signal for froth.
Still, Ries isn’t blind to where AI is delivering real leverage. He pointed to Anthropic’s claim that roughly 80% of its code is written internally by its own AI agents as an example of an AI-native company capturing measurable gains that legacy adopters may not. That divide — AI-native firms designing systems around models versus incumbents bolting on tools — matters because true productivity improvement looks different when it’s embedded from day one.
Ries kept a nuanced stance about Anthropic itself, mixing caution with praise. “Of the current AI leaders, I’m very bullish on Anthropic, and I think they seem like they act with the most integrity. They’ve been the most consistent in their statements. They seem the most focused and have the lowest cost basis,” he said, while acknowledging his advisory role could color his view. His point is practical: governance and discipline matter if companies are going to translate hype into durable performance.
For investors and executives, Ries’s bottom line is behavioral: demand measurable impact, not slogans. Watch whether AI talk converts into revenue growth, margin expansion, or verifiable throughput gains before pricing in massive returns; if infrastructure spending keeps outpacing visible benefits, the payback story needs closer scrutiny. Market players chasing narratives without evidence may be the ones left holding the risk when sentiment shifts.
