Return on AI: Weekly Digest — July 27, 2026
This edition covers sixteen findings spanning deployment rates, workforce effects, data infrastructure, governance, and ROI measurement. Forrester finds that 77% of organizations are running agentic AI but most cannot connect that activity to customer outcomes, and a separate Forrester survey finds that 72% of consumers doubt companies are using AI responsibly. Domino Data Lab reports that 57% of enterprises are seeing AI ROI lag spend for a second consecutive year, while the SAP survey points to where returns are appearing: insights and decision support rather than cost reduction. Several findings flag execution problems at different layers: 95% of AI pilots stall because of data infrastructure gaps, Cytiva reports that drug discovery AI models fail on 90% of trial rates due to incomplete training data, and a study links enterprise AI adoption to decreased employee focus. On the workforce side, US tech firms cut 140,000 jobs while increasing AI capital spending, an HBR study
Key Takeaway of the Week
The clearest pattern this week is that AI spending continues to outrun AI returns, with 57% of enterprises now in their second consecutive year of ROI lag and 95% of pilots stalling on data infrastructure alone. The root cause is consistent: organizations are deploying AI before the foundational conditions for value creation exist, whether that is clean data, governance structures, or clear ties to business outcomes. CFOs and CIOs who audit data readiness and outcome accountability before the next budget cycle will recover margin that their peers are currently burning.
Sponsored by Jetson Collective