Answer capsule
Its current survey asks how AI is used, managed, and overseen, making those corporate-governance practices observable rather than treating AI as a private technology matter.
What the source establishes
- The OECD is inviting listed companies worldwide to take part in a survey on artificial intelligence and corporate-governance practices.
- The OECD says the survey aims to understand how companies use, manage, and oversee AI in practice.
- The OECD says the survey is open to publicly listed companies and consists of 20 short multiple-choice questions.
The CEO implication
Management should be able to explain where AI affects strategy, decisions, risk, people, customers, and reporting in the same governance language used for other material capabilities.
Avoid a board technology tour
Directors need decision context, accountable owners, evidence, residual risk, incidents, and capital exposure—not a catalog of models and pilots.
Governance should improve choices
The purpose is not more committees. It is clearer authority, faster escalation, stronger challenge, and fewer unsupported claims.
Prepare a coherent record
Reconcile the AI inventory, strategy narrative, investment portfolio, risk register, board materials, public statements, and operating metrics.
Turn this source into a reviewable decision
For AI for CEOs, use this briefing as a dated decision record rather than a substitute for the source. Preserve Organisation for Economic Co-operation and Development, the exact URL, the August 22, 2026 review date, the supported facts above, the editorial interpretation, the limitations, and any buyer-specific evidence. Link that record to the decisions most directly affected: Strategy and scenario intelligence; Portfolio and capital allocation; Operating-model redesign; Board governance and oversight. State whether the source changes the scope, evidence requirement, control, sequence, or only the language used to describe the decision.
Before action, name the accountable owner, affected population and workflow, exact offering or configuration, source data and rights, human decision point, exception and appeal path, complete cost, expected benefit, failure and stop conditions, retained evidence, and next review date. Keep official facts, provider statements, buyer observations, representative tests, measured outcomes, editorial inferences, and unknowns visibly separate. Reopen the record when the source, offer, model, integration, data, policy, population, responsible person, or measured result changes.
Decision test
Ask whether the source changes the decision itself, the evidence required, the implementation sequence, or only the language used to describe an existing capability. Record which claims are directly supported, which are provider statements, which require an independent test, and which remain unknown. A source-linked review should make uncertainty easier to see, not bury it inside a blended score.
Questions to take into review
- Which external and internal evidence anchors the scenario?
- What would falsify the thesis?
- What is the value mechanism and accountable owner?
- What competing investment is displaced?
- Which decision rights change?
- What work disappears, changes, or is created?
- Which AI matters to strategy or risk?
- What evidence supports management's claims?
The publication supports research and executive decision preparation. It does not provide legal, financial, accounting, employment, clinical, cybersecurity, investment, procurement, or implementation advice.