Apollo economist says most companies see no AI financial gain

An economist from Apollo told TechCrunch that artificial intelligence has delivered zero financial payoff for most companies so far. Despite heavy investment and widespread adoption, the claim is that only tech firms have seen clear returns.

Why it matters

AI has been the headline technology for years, pulling in billions in spending from businesses of every size. According to the TechCrunch report, most of those companies have not seen measurable financial benefits. The claim comes from an Apollo economist, who said that outside of the tech sector, AI has so far failed to deliver clear returns.

That is a direct challenge to the marketing from AI vendors and consultancies. It also runs against the expectations of many business leaders who were told that AI would translate into lower costs, new revenue, or both. The Apollo economist's view suggests that, for now, the hype has not met reality for most companies.

AI’s financial impact: a closer look

According to TechCrunch, the Apollo economist pointed out that while tech companies have found ways to profit from AI, the rest of the corporate world has not seen the same results. The report emphasizes that "zero financial payoff" means firms are not seeing measurable improvements in their bottom line attributable to AI adoption.

One reason may be that AI often requires expensive infrastructure, specialist staff, and ongoing investment before any productivity gains show up. Even then, those gains may be offset by new costs or simply not materialize in ways that accountants can track. This matches recent moves on Wall Street, where investors are becoming more cautious about AI stocks, as covered in our article here.

The Apollo economist's claim focuses on corporate America as a whole, not just startups or early adopters. That means the issue is not about being too early, but about the difficulty of turning AI technology into actual profit outside the biggest tech firms.

What this means if you run a business

If you are running a company outside the tech sector, this is a signal to check your own numbers before committing more budget to AI projects. The Apollo economist’s statement should prompt a review of any claims from vendors about fast returns. It may be wise to demand clear metrics, not just projections, before scaling up AI spending.

This does not mean AI is useless. Some firms will find ways to turn new tools to their advantage, but the burden of proof is now higher. Companies considering AI for customer engagement, operations, or product development should run pilot projects with tight controls and track costs against real savings or new income. You may also want to watch for regulatory changes or cost shifts in supporting infrastructure, such as data center opposition, which we reported on here.

For most business owners, the message is to be cautious, ask for evidence, and measure actual results before buying into AI’s promises. The risk of spending on hype rather than results is real, according to the Apollo economist cited by TechCrunch.