Mark Cameron

Research

Evidence for a learning economy.

Original frameworks and practical evidence for leaders designing beyond the pilot.

Published by Alyve · Updated March 2026

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.

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Published by Mark Cameron · Original whitepaper series · readiness diagnostic

The Intelligence-Centred Enterprise

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

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Published by Alyve · Whitepaper series

The Architecture of Intelligence

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

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Published 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.

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Published by Mark Cameron · Executive briefing

AI-Enabled Roles

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

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Published by Alyve · Capability model

AI Capability Development Model

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

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

Forbes writing

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

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Evidence your audience can act on.

Mark turns this research into keynotes and facilitated sessions for conferences and leadership teams.

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