UpTrajectory Review

TechCrunch's Anthony Ha flags a blunt finding from Apollo economist Torsten Slok: despite the billions poured into AI and the relentless hype cycle, the technology has produced zero measurable financial payoff for corporate America outside the tech sector itself. The source text is thin — a single sentence — but the claim lands hard because it comes from a major market economist rather than an AI skeptic. Slok's point is not that AI lacks promise; it is that the payoff, so far, has concentrated almost entirely in the companies building and selling the technology, not in the companies buying it. That distinction matters, and most coverage of AI spending blurs it.

For a small-business operator, this finding cuts both ways. On one hand, it validates the gut feeling many owners have: they bought the AI tools, trained the staff, and waited for the productivity miracle that never quite showed up in the margin. On the other hand, it sharpens a harder question — if Fortune 500 firms with dedicated AI teams and eight-figure budgets cannot find a return, what exactly is a ten-person shop supposed to extract? The honest answer may be that the tools are real but the implementation gap is wide, and most businesses lack the process discipline to convert AI capability into dollars. That is a management problem, not a technology problem.

What is genuinely new here is the source. Economists at major banks have spent two years cheerleading AI-driven productivity gains; Slok breaks ranks and says the emperor has no clothes outside Silicon Valley. We find the claim credible but incomplete. Slok likely measures payoff at the macro level — GDP contribution, earnings impact, sector-wide productivity data — and that lens can miss micro-level gains. A logistics firm that shaved two hours off invoice processing sees a real benefit that never registers in a national statistic. Still, the burden of proof now sits with the AI vendors and the consultants who promised transformation. They have not produced it at scale.

The second-order effects ripple in several directions. If corporate America concludes that AI spending has underdelivered, the correction will hit hardest not at OpenAI or the chipmakers but at the middle layer — the SaaS vendors who bolted AI features onto existing products and raised prices accordingly, and the consultancies billing premium rates for implementation roadmaps that lead nowhere. Small businesses should watch for contract renewal season: vendors facing a skeptical market may suddenly discover flexibility they never offered before. That is leverage, if you use it.

What to do next: audit your own AI spend before your accountant does. List every tool you pay for that promises AI capability, and ask a simple question for each — what specific, measurable outcome has this produced in the last ninety days? If the answer is vague, that is your answer. Do not cancel everything; some tools earn their keep. But negotiate, downgrade, or drop the ones that cannot show a return. And watch Slok's future commentary — if more economists join him, the AI pricing bubble in the B2B software market may finally deflate, which would be the best buying opportunity for small businesses in years.

“Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech.” — TechCrunch

Takeaway: Audit every AI tool you pay for and demand a measurable ninety-day result; if the vendor cannot show one, negotiate the price down or walk.