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Generative AI adoption

Technology & Product Transition · Digital & AI disruption

What it is

Large language and generative models performing work previously done by people - drafting, coding, summarising, answering queries, generating images and audio. Unlike earlier automation it targets cognitive and creative work rather than physical or rule-based tasks

The commercial question is who captures the productivity gain: the provider, the client, or neither because it is competed away

Impact on industries

  • Attacks effort-based pricing directly - if fewer people deliver the same outcome, billing by headcount or transaction shrinks even as capability rises
  • Clients expect the gain passed back as lower prices, so deflation arrives before the offsetting demand does
  • Creates genuinely new demand for data centres, power, networking and the services to deploy models, which is additive rather than substitutional
  • Outcome-based contracting decouples revenue from headcount and is the pricing model that survives the transition