McKinsey — State of AI trust in 2026 — Shifting to the agentic era
Tag: S-2026-06-mckinsey-ai-trust Type: report (industry survey — McKinsey AI Trust Maturity Survey) Author(s): McKinsey & Company (Tech & AI / QuantumBlack) Date of source: 2026-06-11 (date observed in this scan — see ingestion note; precise publication date not confirmed. Underlying survey fielded December 2025 – January 2026) Date ingested: 2026-06-11 Authority weight: medium — large structured survey (~500 organisations, respondents with direct AI-governance/risk/investment responsibility), credible house methodology, but cross-industry (not FS-specific) and self-reported; back-fills citations already present in the wiki without an S-tag. Raw file: S-2026-06-mckinsey-ai-trust.md. External URL: https://www.mckinsey.com/capabilities/tech-and-ai/our-insights/tech-forward/state-of-ai-trust-in-2026-shifting-to-the-agentic-era
What it claims
McKinsey’s 2026 AI Trust Maturity Survey (responses from ~500 organisations across industries and regions, respondents holding direct responsibility or expertise in AI governance, risk management, or AI investment) reports that the average responsible-AI (RAI) maturity score rose to 2.3 in 2026, up from 2.0 in 2025. Despite that uplift, “only about one-third of organizations report maturity levels of three or higher in strategy, governance, and agentic AI governance” — i.e. roughly 70% of firms sit below maturity level 3 on agentic-AI controls. The report frames 2026 as a shift “to the agentic era,” in which the governance challenge moves from model-level controls toward governing autonomous, multi-step AI agents.
On sector differences, “technology, media, and telecommunications and financial services continue to lead in RAI maturity, driven by stronger risk management and data foundations” — locating financial services among the more mature sectors precisely because of its risk-management and data substrate, which is consistent with the wiki’s data-substrate thesis. The survey was fielded between December 2025 and January 2026.
Notable quotes
“the average RAI maturity score increased to 2.3 in 2026, up from 2.0 in 2025, though only about one-third of organizations report maturity levels of three or higher in strategy, governance, and agentic AI governance.” — McKinsey, State of AI trust in 2026 (as summarised from the published findings)
What’s speculative vs. asserted
- Asserted (survey-reported): the 2.3 vs 2.0 average maturity figures; the ~one-third-at-level-3+ finding (and the implied ~30% at 3+ / ~70% below for agentic-AI governance already cited in the wiki); the TMT-and-FS-lead finding; the ~500-organisation sample and Dec 2025–Jan 2026 fielding window.
- Editorial framing: the “shift to the agentic era” thesis is McKinsey’s interpretation, not a measured datapoint.
- Caveat: cross-industry (not FS-only) and self-reported; the headline figures are directional. Precise publication date not confirmed this run.
Topics this feeds
Open questions raised
- Whether the FS-leads-on-RAI-maturity finding holds for regulated FS firms specifically, or is pulled up by large-cap technology-adjacent financials.
- Whether the ~30%-at-level-3+ agentic-governance figure (already cited on two wiki pages) maps to the same construct other 2026 surveys measure (e.g. ProSight’s “highly developed” 12%), or a different maturity scale.