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AI in professional services statistics: key stats at a glance
43.6% of professional services projects use AI in 2026, up from 23.1% in 2025 (SPI Research).
84.8% of professional services firms say AI saves them time, but only 29.9% say it generates revenue (SPI Research, 2026).
Professional services firms using AI on more than 80% of projects deliver 90.7% of projects on time, vs 76.3% for firms using it on fewer than 20% (SPI Research, 2026).
Professional services firms running complex AI agents or an AI-first model report EBITDA of 20.5%, vs 13.3% for firms at the chat stage or with no formal AI use (SPI Research, 2026).
36.8% of professional services firms don't formally track a single AI outcome (SPI Research, 2026).
AI is used on 43.6% of professional services projects in 2026, nearly double the 23.1% in 2025, according to SPI Research's 2026 Impact of AI on Professional Services study of 245 firms. But the payoff is uneven: 84.8% of firms say AI saves them time, while only 29.9% say it generates revenue.
The study covers management and IT consultancies, professional services teams inside software and SaaS companies, and other professional services firms across the Americas, EMEA and APac.
Teamwork.com co-sponsored this year's study, and our CRO, Mossy O'Mahony, wrote the foreword. The statistics below cover adoption, delivery, profit, pricing, data and governance. Download the full report for every table, SPI's recommendations and Mossy's take on what the data means for services leaders.
How AI in professional services changed from 2025 to 2026
AI use in professional services moved far faster than business results in 2026. The share of projects using AI nearly doubled, while EBITDA, project margin and utilization each rose by about two points or less.
Measure
2026 participants are smaller firms on average. SPI reweighted the results to the 2025 size mix, and the adoption gains held. Source: SPI Research, 2026 Impact of AI on Professional Services.
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AI adoption statistics in professional services
AI adoption in professional services nearly doubled in 2026, and only 4.1% of firms now make no formal use of AI.
Stage of AI adoption
21.2% of professional services firms say AI agents run multi-step processes across their systems, and 7.2% describe an AI-first operating model.
The smallest firms use AI most in their own work. Firms with fewer than 10 employees use AI on 51.3% of projects, vs 38.0% for firms with more than 700.
The largest firms build AI into what they sell. 76.9% of firms with more than 700 employees offer a client-facing agentic AI product or service, vs 30.0% of the smallest firms.
Independent professional services firms use AI on 47.6% of projects, vs 33.8% for professional services teams inside technology companies.
What it means: Adoption is no longer the question. Leadership supports AI, most people can use it, and clients expect it. The open question is what AI is returning.
Source: SPI Research, 2026 Impact of AI on Professional Services.
AI and project delivery statistics
On-time delivery is AI's clearest payoff in professional services. Firms using AI on more than 80% of projects deliver 90.7% of them on time, vs 76.3% for firms using it on fewer than 20%.
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Professional services firms using AI on more than 80% of projects earn $207k in revenue per professional services employee, vs $155k for firms using it on fewer than 20%.
On-time delivery rises at every level of the SPI AI Maturity Model™, from 69.8% at Levels 1 and 2 to 92.5% at Level 5.
AI helps most with document-heavy work: 82.8% of firms agree it has improved how they create project deliverables. It helps least where clean operational data is needed. Only 10.7% say it has helped a lot or a great deal with demand planning, and 9.6% with rate analysis.
Project risk analysis showed the largest gain in delivery, with its score up 16% year over year (from 2.82 to 3.26 out of 5).
What it means: AI shows up in delivery first. Faster drafting, better status reporting and earlier risk flags reach the schedule before they reach the margin.
Source: SPI Research, 2026 Impact of AI on Professional Services.
AI profitability statistics
AI pays off in profit mainly for the firms that go furthest with it. Those running complex agents or an AI-first model report 20.5% EBITDA, vs 13.3% for firms at the chat stage or with no formal AI use.
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The same firms bill day rates of $1,364, vs $962, and grew professional services revenue 8.8%, vs 3.1%.
17.6% of professional services firms that reported EBITDA earn 30% or more. These high performers average 40.6% EBITDA, vs 11.4% for the rest.
Firms selling AI services report almost the same EBITDA as firms that don't (17.3% vs 16.6%), and SPI doesn't consider the gap reliable.
The small group at Level 5 of the SPI AI Maturity Model™ (5.4% of firms) reports 28.3% EBITDA.
SPI notes that its data doesn't prove AI agents cause higher profit; better-run firms may simply adopt AI faster. But the profit gap holds after SPI allows for firm size and type.
What it means: How far a firm goes with AI predicts profit far better than how many projects use it, or whether it sells AI services.
Source: SPI Research, 2026 Impact of AI on Professional Services.
The AI revenue gap: time saved vs revenue earned
Most professional services firms save time with AI but don't yet earn more from it. 84.8% report time savings, but only 29.9% report revenue gains.
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Professional services firms reporting that AI significantly increased productivity achieved 85.9% of their revenue target, vs 93.5% for firms reporting no change.
Average billable utilization is 67.8%, below SPI's 75% target. It doesn't rise with AI use: it ranges from 66.6% to 68.9% whatever share of projects use AI.
For a 100-person professional services organization, every 10% of time-and-materials effort AI removes puts about $1.9mm of revenue a year at risk, unless the work is repriced or the hours are sold again.
Professional services firms expect 51.7% of their revenue to come from AI-related initiatives within three years, up from 24.1% today.
What it means: On hourly work, a saved hour leaves the invoice. Unless firms resell freed capacity or change how they price, part of AI's gain goes to the client. Mossy O'Mahony sets out how to plug that leak, and our piece on AI ROI in professional services looks at why that capacity isn't converting to margin.
Source: SPI Research, 2026 Impact of AI on Professional Services.
AI data, measurement and governance statistics
Data readiness and measurement separate the firms getting more from AI. Firms with highly ready data report 43.6% project margins vs 35.2%, yet 36.8% of firms track no AI outcome at all.
46.5% of professional services firms say their services data is mostly or highly ready for reliable AI use. 22.3% say it isn't ready or is early and fragmented.
Firms with highly ready data deliver 85.3% of projects on time, vs 71.8% for firms whose data isn't ready or is fragmented.
Time saved is the most-tracked AI outcome, at 35.4% of firms. Only 22.0% track the impact on project margin and 19.1% the impact on utilization.
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Professional services firms that track three or more AI outcomes report EBITDA of 18.7%, vs 14.0% for firms that track none.
73.3% of firms have an approved AI use policy and 71.9% require human review before anything reaches a client. Only 35.0% require source attribution or validation.
Firms with four or more of SPI's six governance controls deliver 83.0% of projects on time, vs 77.9%, and bill $1,216 a day, vs $977.
Top AI concerns (1 = not a concern, 5 = significant)
What it means: The firms getting more from AI built the foundations first: ready data, a way to measure what AI delivers, and controls that don't slow the work down.
Source: SPI Research, 2026 Impact of AI on Professional Services.
AI and PSA software statistics
Firms on a commercial PSA are further along with AI. Only 17.7% are still at the chat stage or have no formal AI use, vs 44.4% of firms without one, though firms without a PSA are also much smaller (a median of 5 employees vs 65).
58.8% of professional services firms use a commercial PSA, and 29.2% have no PSA at all.
PSA users run more AI governance controls: 3.7 of SPI's six, vs 2.6 for firms without a PSA.
Firms rate AI's impact on PSA performance at 2.57 out of 5, up from 2.10 in 2025.
What it means: SPI expects the next wave of AI value to come when AI can use the data in PSA, CRM and financial systems, not just the documents on a consultant's laptop.
Source: SPI Research, 2026 Impact of AI on Professional Services.
About the research
SPI Research surveyed 245 professional services organizations between July 15 and September 16, 2026, and 224 completed the full survey. The sample includes 175 independent professional services organizations and 70 embedded services teams inside software and technology companies. 161 firms are based in the Americas, 63 in EMEA and 21 in APac. The average professional services organization has 376 employees, and 43.6% of respondents are CEOs or managing directors.
SPI notes that participants skew toward firms further along with AI. Their average EBITDA of 16.5% compares with 9.9% in SPI's wider 2026 PS Maturity Benchmark.
For PSA market data, such as adoption, pricing and market size, see our PSA software statistics.
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