Nearly every firm uses AI. Almost none has turned it into advantage.
The market is re-accelerating: $103.8 billion in 2024 with growth forecast to double to 6% (Source Global Research), and 43% of CxOs expect to increase consulting spend by more than 10% in 2026.
Adoption looks finished on the surface and hollow underneath. Around 71% of professional services firms deploy generative AI, up from 33% in 2023. Yet 75.4% of organisations use it on a fifth or less of their projects, and the 2.5% who run it on nearly every project post 86.7% on-time delivery against a 73.1% average, with new-client acquisition at 43.6% versus 29.1% (SPI benchmark). In Deltek's studies, only 38% of firms report measurable business impact from AI and just 5% rate themselves fully mature.
The trust paradox
The same buyers demanding AI do not yet trust it. 89% expect AI incorporated into consulting services and 87% say they would pay more for a firm using AI-enabled tools, yet 70% of consultancy clients say they would not trust a report prepared using AI, and clients shown consultants' AI tool demos become more sceptical, not less. The winning position is governed AI: named human review, verified sources, and outcomes instead of screen-shares.
The capacity paradox
More than 66% of professional services organisations report turning down work because they cannot resource it, while utilisation has declined for consecutive years and revenue growth collapsed from 10.6% to 4.6%. Meanwhile the talent market has repriced: US workers with advanced AI skills earned a 56% wage premium in 2024, more than double the prior year. Building capability inside the existing team has quietly become the cheaper option.
What's inside the full report
Across 12 pages, the report covers:
- Growth returns, and AI is the reason: the market, the AI consulting segment growing at 28.8% CAGR, and buyer spend intentions
- The adoption-to-impact gap: depth of use as the statistic that predicts anything
- The utilisation slide and the pricing squeeze: 58% of clients expect prices to fall while outcome-based billing goes backwards
- The trust paradox: what buyers demand, pay for and distrust
- The quality line: the Deloitte Australia refund and the verification burden inside firms
- Talent math has changed: 140-day hiring cycles and the doubling AI wage premium
- The knowledge leak, and a one-year window: where the hours go, and how fast the leaders are compounding
Every figure is drawn from published third-party research (SPI Research, Kantata, Deltek, IBM, Source Global Research, PwC, Hinge, among others), with samples and dates stated in the appendix.
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