Adoption is not the same as value. This collection follows the organisational, economic and operational conditions that determine whether AI changes real work — and examines why well-funded programmes still fail to produce measurable outcomes.
Start with the evidence
The Enterprise AI Reality Check
Why so many organisations struggle to demonstrate ROI, and the practices that distinguish useful deployments from pilots that never change how work gets done.
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Adoption research and analysis
Generative AI Adoption by Industry
Use cases, evidence and constraints across financial services, healthcare, retail, legal and charities.
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The Agent Governance Gap
What rising budgets, weak cost visibility and employee resistance reveal about adoption maturity.
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How Different Countries Are Adopting AI
How policy, capital, confidence and customer expectations shape adoption across markets.
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What Claude Memory and Dream Mean for Adoption
How durable knowledge and self-improvement change the operating model for enterprise agents.
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GPT-5.5 and Autonomous Task Completion
The governance and workflow implications when models act rather than merely assist.
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The UK's AI Skills Gap
Why access to tools is moving faster than the capability to use them well.
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