AI Is Not a Productivity Shortcut for Most Businesses — and Marketplace Founders Should Take That Seriously

Apollo Global Management's chief economist Torsten Slok analyzed the S&P 500 minus its seven largest tech companies and found no measurable improvement in profit margins or revenue per worker attributable to AI. Despite heavy corporate investment in AI tools, the financial data shows flat productivity across non-tech industries. Slok argues the barrier is structural: AI handles calculation, but business outcomes depend on judgment, trust, accountability, and culture — things AI cannot replicate. Recent independent studies support this finding.

This is a direct challenge to a dominant assumption in the operator community: that AI adoption equals efficiency gains. The data says otherwise — at least for now, and at least outside of tech. The deeper signal is that AI tools create the illusion of productivity without necessarily moving the metrics that matter. For marketplace founders specifically, this matters because marketplaces are fundamentally trust and judgment businesses. The variables that drive GMV — supplier quality, buyer confidence, dispute resolution, community marketplace engagement strategies — are exactly the areas Slok identifies as AI's blind spots.

Supply: AI can help you recruit and onboard suppliers faster, but it cannot assess whether a supplier is actually trustworthy, reliable, or a cultural fit for your marketplace. Vetting still requires human judgment. Demand: Buyers transact based on confidence. AI-generated listings, reviews, or recommendations that feel generic or inauthentic can erode the trust that drives repeat purchase behavior. Liquidity: Matching supply to demand efficiently is where AI has real utility — search ranking, recommendation engines, pricing signals. This is the narrow zone where the productivity argument holds. Trust: This is the most critical dimension. Trust is built through accountability, consistency, and fairness — none of which AI can manufacture. Founders who outsource trust-layer decisions to AI tools risk undermining the foundation of their marketplace. Growth: AI-assisted marketing and content generation can reduce CAC at the top of the funnel, but conversion and retention still depend on the quality of the transaction experience — a human-governed outcome. Onboarding: AI can automate onboarding flows, but the judgment calls — who to approve, what standards to enforce, when to make exceptions — still require human policy decisions. Monetization: Pricing models and take rate optimization are areas where AI marketplace implementation strategies can add value, but the strategic decisions about what to charge and how to structure incentives remain founder-level judgment calls.