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Chronicles

The story behind the story

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AI will significantly disrupt IT consultancies as AI labs build advisory arms and executives expect more projects priced based on outcome instead of by the hour

Financial Times Stephen Foley

Context & Ripple Effects

Consulting demand has been rising as companies seek help turning AI into commercial gains, and established firms have already made AI advisory work a meaningful part of their businesses. At the same time, AI-enabled smaller firms and consultant-founded startups are lowering the scale advantage long held by large consultancies.

This story adds pressure from another direction: the companies building the underlying AI systems are moving closer to the advisory relationship. It also fits related coverage showing that the industry's billing model is becoming a point of contention, not just its delivery model.

First-order effects

  • IT consultancies face more direct competition for AI implementation and strategy work from AI labs' advisory arms, potentially weakening their role as the primary intermediary between enterprise customers and AI technology.
  • Consultancy leaders must adapt project scoping, measurement, and commercial terms as clients increasingly expect fixed-fee or outcome-linked engagements rather than open-ended hourly work.

Second-order effects

  • Large firms will be pushed to differentiate through sector expertise, integration capabilities, and accountability for business results, while smaller AI-native consultancies can use AI agents to compete for work that previously required larger delivery teams.
  • Outcome-based contracts shift more execution and performance risk onto providers, increasing the importance of proving value and potentially making pricing and utilization harder to manage during the transition.

Third-order effects

  • If AI labs retain advisory relationships with enterprise customers, the consulting value chain could become more vertically integrated around AI platforms, with traditional firms competing for implementation, governance, and multi-vendor roles.
  • The broader sector may move away from selling professional time toward selling measurable transformation results; the pace will depend on whether customers and providers can reliably define and attribute those outcomes.

The trend: AI is reshaping consulting from a labor-scale, hourly-billing business toward an AI-enabled and outcome-accountable services market in which platform providers also seek customer influence.