Evidence for a learning economy.

01Published by Alyve · Research synthesis by Mark Cameron · October 2026 · interactive companion

AI Value Leaders

What separates organisations creating enterprise value from AI from those generating activity without impact: concentrate on a few outcomes, redesign the work, measure in dollars and build a learning system.

02Published by Mark Cameron with collaborators · Whitepaper series co-developed by Mark Cameron with researchers and practitioners · readiness diagnostic

The Intelligence-Centred Enterprise

Enterprise AI performance is an operating-model challenge: connect human and machine intelligence through a repeatable learning loop.

03Published by Alyve · Whitepaper series

The Architecture of Intelligence

Decision rights, governance thresholds, capital flows and signal architecture shape AI-era performance.

04Published by Alyve · Multi-source synthesis · methodology caveats apply

Corporate AI Adoption Intelligence

Alyve’s March 2026 synthesis of mainly 2025 studies found reported adoption widespread while scaled value was uncommon; BCG’s 2026 index shows a larger group now scaling. Populations, geographies and methods differ across sources.

05Published by Mark Cameron · Executive briefing

AI-Enabled Roles

A briefing on capability displacement and five emerging families of AI-enabled roles.

06Published by Alyve · Capability model

AI Capability Development Model

A practical model for moving from strategy and access to repeatable organisational capability.

07Published by Forbes Technology Council · Published writing through Forbes Technology Council

Forbes writing

Published perspectives on AI strategy, culture and the future of work.

08Earlier synthesis · 2025 data · superseded by AI Value Leaders

The 88% and 5% synthesis (2025 data): research methodology

How separate adoption and scaled-value studies were compared, what the figures mean, and where the evidence must stop.