Graham Norris Returns to RO-AR.com Podcast to Discuss AI Transition

An update with futurist and psychologist Graham Norris on how organisations and individuals should think about rapid change.

A focus on AI’s transition from hype to deployment, the behavioural risks of over-reliance, and how firms can maintain judgement and differentiation as AI becomes normalised. 

Some of the key takeaways:

• Technological change continues to accelerate overall, with multiple “S-curves” still in steep phases.

• AI platform capability improvement appears to be levelling off, shifting attention from hype to practical deployment.

• Delivering “useful” AI in production remains difficult; several expected job displacements have not materialised at pace.

• The perceived fear around AI is waning as tools become normalised in everyday products and workflows.

• Highest-impact AI adoption often sits in “unnoticed” operational use cases (e.g., data cleansing, transcription, analysis, content generation).

• Financial services is positioned as relatively cautious, favouring safer, narrower applications.

• Over-reliance risk is material: users can defer too readily to AI, reducing critical thinking and increasing “automation complacency”.