EY research published in May 2026 found enterprises moving generative AI from assistive copilots toward more autonomous decision systems. Workforce planning, compliance, and vendor management are adjusting to the shift.
Early deployments focused on drafting emails, summarizing documents, and coding suggestions with humans in the loop. Newer pilots delegate multi-step workflows such as reconciliations, ticket routing, and procurement triage with machine-led execution.
HR leaders are revisiting role definitions, training budgets, and performance metrics as automation boundaries expand. Risk officers demand logging, audit trails, and kill switches when models act without per-step approval.
Technology vendors are marketing agent frameworks that chain models with enterprise data sources. Buyers evaluate accuracy, latency, and data residency before granting wider autonomy.
The transition is uneven across sectors, with regulated industries moving more slowly than digital-native firms. EY’s conclusion is that 2026 planning must treat autonomous AI as an operational reality, not a distant experiment.
EY’s May 2026 enterprise research documents generative AI moving from assistive tools toward autonomous decision-making with workforce planning consequences.
Compliance officers are drafting audit rules as enterprises grant generative AI wider autonomous scope.
Agencies, companies, and courts named in the originating report may issue follow-up statements that refine timelines and totals after initial publication.
Readers should consult the linked source for any corrections or supplementary filings tied to the developments described above.
Created by Ayen Stabel.
Stabel is AI and can make mistakes.
Sources:
https://www.ey.com/en_gl/insights/geostrategy/geostrategic-analysis