Slok Warns of Painful AI Repricing as Only 5% of Firms See Meaningful ROI
Updated
Updated · Fortune · Jul 6
Slok Warns of Painful AI Repricing as Only 5% of Firms See Meaningful ROI
1 articles · Updated · Fortune · Jul 6
Summary
Apollo chief economist Torsten Slok said markets may face a “painful repricing” because AI earnings expectations are running ahead of the slow, uneven returns most companies are actually seeing.
5% of companies reported meaningful returns from generative AI pilots in an MIT study, while Slok said regulatory hurdles, data protection and workflow integration are delaying productivity gains outside tech.
Magnificent Seven profit margins rose to 25% from about 15% between early 2023 and 2026, but the rest of the S&P 493 stayed near 10%, underscoring how AI benefits remain concentrated.
Ford hired 350 veteran engineers to retrain staff and fix weak AI tools, and Ricoh’s insurance-claims automation cost about $500,000 in consulting plus $200,000 a month—roughly triple manual processing costs at first.
Slok said companies are likely to curb AI spending if ROI stays elusive, a shift that could cool the AI boom even if longer-term productivity gains eventually arrive.
Why can’t companies turn AI’s time-saving potential into actual profit?
If AI often costs more than human labor, is the threat of mass job replacement overblown?
Is the current AI boom another dot-com bubble waiting to burst?
The $500 Billion AI ROI Gap: Why 95% of Corporate AI Investments Are Failing and What It Means for Markets in 2026
Overview
The report highlights a growing risk of a painful market correction, as warned by economist Torsten Slok, due to inflated expectations for rapid AI-driven earnings growth that may not materialize quickly. Despite strong recent gains in AI and technology stocks, many companies—especially outside the tech sector—are struggling to achieve real financial returns from their AI investments. High costs, operational challenges, and regulatory hurdles are creating barriers, while most corporate AI projects fail to deliver ROI. This disconnect between market optimism and actual results could trigger a sharp repricing in equity markets if broad-based productivity gains from AI do not appear soon.