Acorn positions itself as an AI-powered performance learning platform that maps skills to capabilities and supports role-based development and performance conversations.

Key takeaways include building an infrastructure that ties learning to performance, establishing clear role-based AI competencies, and improving manager training for evidence-based development conversations.

In practical terms, 58% rate their AI development plans as only somewhat or very ineffective, and 64% cannot confidently link learning to better job performance.

Leaders Blake Proberts and Keith Metcalfe argue that without evidence-based development conversations and role-level standards, AI initiatives will underperform and employees will feel directionless.

Root causes include missing role-level AI capability standards, lacking guidance frameworks for managers, and growing employee skepticism about changes.

Across organizations, AI initiatives are accelerating without the necessary infrastructure: many focus on training completion rather than defining AI capability, with 47% not including AI capability in formal reviews, 34% not defining AI competencies at the role level, and 30% lacking mechanisms to assess AI capability at the individual level.

Note the leadership behind Acorn: Blake Proberts (CEO and Founder) and Keith Metcalfe (President) are cited as key voices in framing the findings.

The report, commissioned by Acorn and based on an April 2026 survey, includes a downloadable version and links to Acorn’s capabilities and sign-up options.

A broader gap is evident: leadership may feel ready for AI, while employees remain skeptical, undermining the effectiveness of AI initiatives.

Overall, AI adoption has outpaced enablement, creating strategic misalignment between executive confidence and employee belief in AI readiness.

A core conclusion is that adoption outpaces enablement, calling for a capability layer that links learning to performance through role-level standards and better measurement infrastructure.

Executive optimism is high—around four in five leaders feel confident—but roughly 41% of individual contributors have zero confidence in the approach.