AI spend vs. training gap
Companies are pouring billions into AI while cutting training budgets and reporting falling employee motivation — a mismatch that puts compensation and nom/gov committees on notice. New research also shows HR compliance complexity is rising as AI adoption accelerates, and a survey finds leadership, talent strategy, and change management drive AI returns — all pointing to the need to tie incentives to both tech and workforce outcomes. (fortune.com) (globenewswire.com) (hbr.org)
Goldman Sachs research projects hyperscaler AI capital expenditures will reach roughly $527 billion in 2026, a scale concentrated among the largest cloud and AI infrastructure spenders. (goldmansachs.com ) U.S. enterprise generative-AI spending was estimated at about $37 billion in 2025, even as reporting shows training budgets projected to rise only ~5% in 2026 and average annual learning hours falling from 47 to 40 per employee. (hbr.org ) (aol.com ) ADP’s Employee Motivation and Commitment Index fell to 129 in March 2026, continuing a multi-month weakening that left sentiment about 20 points below its August high and at its lowest level since April 2025. (adpresearch.com ) Mitratech’s State of HR Compliance 2026 surveyed 500 U.S. HR and adjacent professionals and found a structural “compliance infrastructure gap” as regulatory scope, AI use, and talent pressures converge; 41% of HR leaders named attracting and retaining talent their top challenge. (mitratech.com ) (hcamag.com ) An HBR survey of 1,006 senior executives identified seven factors that drive AI returns and ranked leadership, talent strategy, and change management among the top three drivers of measurable AI value. (hbr.org ) Board practice papers and governance advisers show committees are already expanding charters to include AI and human-capital oversight, and compensation committees are beginning to fold AI adoption and workforce-reskilling metrics into incentive design (with public examples of adjusted pay frameworks). (ey.com ) (farient.com )
