Consultants head for a showdown — with their own clients - Financial Times
ft.com · 31 August 2026
Large businesses are demanding reduced consulting fees or moving work in-house, aided by AI tools. At Bayer, 30 AI agents support coding and testing during a six-year SAP system overhaul, with the goal of having significantly fewer consultants in the deployment programme. SAP claims planned changes will help cut the cost of external consultants by up to 50 per cent by allowing consulting firms to bill fewer hours or allowing buyers to do without advisers altogether. Capgemini shares down 31 per cent and Accenture shares down 27 per cent this year, with Accenture noting clients delayed giant IT transformation projects.
This is the observable fact the cited source supports, stated without interpretation.
Tests HBP (implementation progression requires fewer human stages), HBI (client integration work mediated by autonomous agents), and LAW_2 (value moving from usage/hours billed to outcomes). Tests REVENUE_DURABILITY because the commercial model that rested on large deployed teams billing hours faces simultaneous volume reduction (fewer consultants needed) and price reduction (clients demanding lower fees), which threatens the existing pricing structure.
The text shows clients reducing consumption of consulting labour units (fewer consultant deployment hours needed) and simultaneously repricing what they will pay for remaining consultant services (demanding reduced fees). This indicates both HBP (implementation work that previously required large deployed teams requires fewer humans for the same IT transformation outcome) and HBI (integration work that required extensive human-consultant interaction is becoming mediated by AI agents). The capability scarcity that justified premium consulting fees (scarce integration expertise) is declining as AI agents substitute for that labour. Revenue durability of the existing consulting model is under pressure as implementation hours, historically the largest revenue base, face both volume and price compression.
The text shows clients reducing consumption of consulting labour units (fewer consultant deployment hours needed) and simultaneously repricing what they will pay for remaining consultant services (demanding reduced fees). This indicates both HBP (implementation work that previously required large deployed teams requires fewer humans for the same IT transformation outcome) and HBI (integration work that required extensive human-consultant interaction is becoming mediated by AI agents). The capability scarcity that justified premium consulting fees (scarce integration expertise) is declining as AI agents substitute for that labour. Revenue durability of the existing consulting model is under pressure as implementation hours, historically the largest revenue base, face both volume and price compression.
This is the framework's reading of the fact above. The source does not endorse it and is not cited as doing so.
The stock price declines and client cost-cutting could reflect temporary cyclical pressure (delayed projects mean delayed spending, not eliminated spending) or clients exploring options without committing to them. The SAP claim about 50 per cent cost reduction is a vendor statement about potential future capability, not evidence that consulting economics have already changed. Clients may be negotiating harder without actually shifting to AI agents, and consulting headcount deployed to projects may not actually decline if projects take longer or expand in scope.
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