Apollo Global Management’s chief economist just published data that every small business owner running AI tools should read. Torsten Slok, who heads economic research at the $651 billion investment firm, released a note on October 24th laying out a stark finding: outside of the seven largest tech companies, artificial intelligence has delivered zero measurable financial return to corporate America.
Not low returns. Not disappointing returns. Zero.
The Real Story Here
Slok tracks what he calls the “S&P 493” — the S&P 500 minus the Magnificent Seven (Alphabet, Amazon, Apple, Meta, Microsoft, Nvidia, and Tesla). When you strip out those seven companies, the picture changes completely. Revenue per worker is flat. Profit margins show no improvement. There is no statistical evidence that AI spending is translating into productivity gains for the rest of corporate America.
“Despite massive investments and widespread hype around artificial intelligence, the technology has delivered zero financial payoff to corporate America outside of tech,” Slok wrote.
He also flagged a telling shift in corporate behavior: mainstream companies have started “pulling back and starting to view token spending not as a source of growth but as a cost center that weighs on margins.”
That is a significant statement. Companies that were rushing to announce AI strategies are now quietly reclassifying those costs and asking harder questions. The hype cycle is colliding with the earnings call reality check.
By the Numbers
- $0: Net measurable financial gain for the S&P 493 from AI investment, per Apollo Global Management’s October 2026 analysis
- Flat: Revenue per worker for the S&P 493 — unchanged despite AI tool adoption
- $34.9 billion: Meta’s capital expenditures in Q3 2026 alone, with negative free cash flow of $2.1 billion
- 89%: Share of executives using AI agents in at least one business function in 2026, up from just 7% in 2025, per PYMNTS Intelligence research
- 2%: Share of those executives actually letting AI agents run routine work autonomously
That last number explains the gap. Companies are everywhere on adoption, but almost nobody has gone deep enough for it to move the needle.
The Hustler’s Library Take
Here is what the business media is missing about this report: it is actually good news for small business owners if you read it carefully.
Slok’s argument is not that AI does not work. It is that large companies are bad at deploying it. They buy enterprise licenses, run pilot programs, hold strategy sessions, and end up with a $10 million subscription to a tool that middle management does not use. The Magnificent Seven built AI into the core of their revenue model. Everyone else bolted it on the side.
You do not have that problem. A small business owner who decides this week to automate their invoice follow-ups, their customer intake form, or their weekly reporting can have that running by Friday. You do not need a change management committee. You need 90 minutes and a credit card.
Slok also made a pointed philosophical observation worth sitting with: “AI may be a great calculator, but in business, intelligence is mostly judgment.” He argued that AI does not understand accountability, culture, trust, ethical trade-offs, or the unwritten rules that actually drive revenue growth. That is your moat. The relationships you have built, the reputation you have earned, the judgment you bring to hard calls — none of that is being automated. What is being automated is the mechanical work that used to require headcount. That is a structural advantage for a lean operation run by someone with real skin in the game.
The companies failing to see AI ROI are the ones that handed the implementation to a committee. The ones winning are treating it like a tool, not a transformation. 66% of small businesses are already using AI in some form — the question is whether you are using it surgically or just checking a box.
What You Should Do
1. Audit your AI spend against a single revenue or cost line. Do not measure AI by “hours saved” or “tasks completed.” Pick one metric that shows up in your financials — customer acquisition cost, cost of goods sold, revenue per customer, churn rate — and track whether AI is moving it. If you cannot point to a number, you are in the same position as the S&P 493.
2. Go deeper on one tool before adding another. The 89% adoption number from PYMNTS Intelligence looks impressive until you see that only 2% of those companies let AI run anything on its own. Most businesses are using AI the same way they used early internet: a website that just listed their phone number. Pick one workflow where AI can run end-to-end with minimal human review — customer FAQ responses, booking confirmations, social scheduling, expense categorization — and fully hand it off. That is where the margin shows up. Read how small businesses hitting $5M are using AI operationally, not just experimentally.
3. Do not let your AI costs drift into Slok’s trap. He described large companies reclassifying AI spending from “growth investment” to “cost center.” If your monthly AI subscriptions are climbing without a clear tie to revenue or savings, cut the ones you cannot defend. The right question to ask every 90 days: “Which of my AI tools would hurt if I cancelled it tomorrow?” Keep those. Cancel the rest.
The firms bleeding money on AI are the ones that bought the press release. Applying investment thinking to your tools — treating every subscription like an asset that must earn its keep — is how you stay on the winning side of Slok’s data.
Source: Apollo Global Management: No Signs of AI Payoff Outside the Tech Sector | Bureau of Labor Statistics: Productivity & Costs
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