Organisation-wide generative AI adoption in professional services has nearly doubled to 40% in 2026, up from 22% the year before. Fifteen per cent of firms are already deploying agentic AI — systems that don't just respond to prompts but act autonomously toward outcomes. Yet only 18% of organisations bother to measure whether any of it is actually working. That's not a measurement oversight. It's a business model paradox.
The reason so few firms track AI's return isn't laziness or technical immaturity. It's that the answer might be uncomfortable. In an industry built on billing by the hour, proving that AI makes you dramatically faster is proving that your revenue model is broken. Every efficiency gain AI delivers is a billable hour that disappears — and with it, the economic logic that has underpinned law firms, accounting practices, and consultancies for half a century.
The numbers tell two contradictory stories
Two major reports released in recent months paint a picture of an industry sprinting forward while looking nervously over its shoulder.
The Thomson Reuters 2026 AI in Professional Services Report surveyed professionals across legal, tax, accounting, and risk. The headline figures are striking: 40% organisation-wide adoption, 15% using agentic AI, and another 53% planning or considering it. By 2030, 77% of professionals expect agentic AI to be central to their workflows.
Meanwhile, the Wolters Kluwer 2026 Future Ready Lawyer Survey of 810 legal professionals across ten countries found that 92% now use at least one AI tool daily. Sixty-two per cent report saving 6–20% of their weekly time. And 52% of organisations report revenue increases after adopting AI.
But here's the figure that should keep managing partners awake: 62% of legal department respondents in the Wolters Kluwer survey believe AI-driven efficiency will significantly reduce the prevalence of the billable hour, paving the way for alternative pricing models. The clients, in other words, already see where this is headed — even if many firms haven't caught up.
The efficiency paradox at the heart of professional services
The tension is structural, not psychological. As Kyle Poe, CEO of legal technology firm Legora, wrote in a detailed analysis: "If a task that took ten hours now takes one, the firm is more efficient. But under hourly billing, that efficiency is a problem: the firm has just reduced its own revenue by 90% on that task."
This isn't a new complaint. The billable hour has survived decades of predictions about its demise — document automation, e-discovery, legal research software all triggered the same funeral announcements. But AI is different, and the reason is not just speed. It's predictability.
Previous technologies made individual tasks faster. AI makes entire categories of work predictable and repeatable. When a firm can forecast with reasonable confidence what contract review, regulatory research, or first-pass due diligence will cost to deliver, the rationale for hourly billing evaporates. Clients can see the cost structure and they're increasingly unwilling to pay human hourly rates for work that AI handles.
Anthropic General Counsel Jeff Bleich put it bluntly at the American Bar Association's White Collar Crime Institute in March: "Now we've got a technology that's going to eliminate the sorts of things that allow people to become wealthy off of tedious work. That was not what lawyers are trained to do, and not what we ultimately look to lawyers for," he told the conference. "The firms that adapt to that faster and better will be leapfrogging other firms."
What's actually replacing it
The billable hour isn't dying overnight. But the transition is underway, and it mirrors what happened in accounting over the past two decades.
The Big Four once billed almost entirely by the hour. That has shifted almost entirely toward fixed fees for routine, repeatable work — tax compliance, audit engagements, recurring advisory — while complex, bespoke work retains hourly rates. According to a Best Law Firms survey, 72% of US law firms with more than 50 lawyers now offer alternative fee arrangements. The legal industry is following accounting's trajectory, just a decade behind.
Four models are emerging. Fixed fees are already standard for predictable work like contract review and routine compliance. Portfolio pricing covers a defined set of recurring matters over a set period — employment disputes, IP filings, routine litigation — rewarding firms that handle volume efficiently. Capped fees with phased billing give clients budget predictability on staged matters like litigation. And then there's an emerging concept Poe calls the "billable token" — a markup model for AI-generated work where firms charge for the compute behind the output, layered with human judgment, supervision, and accountability.
The pattern is clear: standard, repeatable work shifts to fixed pricing first. High-stakes, genuinely unpredictable work stays hourly last. The firms that build deep AI integration into specific practice areas will have the cost data to price confidently. The firms that don't will find themselves in an impossible position — absorbing AI costs they can't recover while clients demand the efficiency gains.
The Australian picture
Australian professional services are following the global pattern with their own distinct wrinkles.
In legal, 52% of Australian law firms now have clear AI policies — but that masks a stark divide. Seventy-four per cent of Big Law firms (200+ employees) have formal policies, compared to just 25% of small firms. The LexisNexis 2026 Australia AI Sentiment Survey found 69% of Australian legal practitioners are using or planning to use generative AI.
The gap between strategy and adoption is telling. According to Thomson Reuters' 2025 Future of Professionals study, only 14% of Australian organisations have an AI strategy. But the ones that do have unlocked 2x revenue growth. That's not a technology gap — it's a strategy gap.
In accounting, Australia's Big Four are already reshaping their talent pipelines. Bloomberg Tax reports that Deloitte, EY, KPMG, and PwC are actively recruiting graduates with AI backgrounds, providing accelerated accounting training to address a projected shortfall of 6,000 accountants by 2030. The bet is clear: future professionals need AI fluency first, domain expertise second.
The risks are real, too. Deloitte Australia issued a partial refund to the federal government in late 2025 after a $440,000 report was found to contain AI-generated errors, including fabricated references — a cautionary tale about deploying AI without adequate human oversight.
What this means if you run a professional services firm
If you lead or operate a law firm, accounting practice, or consultancy in Australia, the strategic question has shifted. It's no longer "should we adopt AI?" — that's settled. It's "how do we restructure our business model before our competitors do?"
Three things matter right now. First, measure honestly. If you're in the 82% of firms not tracking AI ROI, you're flying blind. The Thomson Reuters data shows that firms focusing only on cost savings are missing most of the value — and most of the risk. Measure across financial returns, risk management, talent development, and innovation.
Second, start pricing experiments on new work. As Poe argues, pricing innovation happens through competition, not conversation. Renegotiating pricing with existing clients is difficult. Competitive pitches for new work are where you can trial fixed fees, portfolio pricing, or phased billing without disrupting established relationships.
Third, build AI governance before regulators require it. Australian regulators have made clear that existing professional standards around confidentiality, competence, and accuracy apply fully to AI-assisted work. The firms that can demonstrate secure, governed AI environments are already gaining a competitive edge in procurement and panel reviews.
What to watch
The next twelve months will reveal whether the professional services industry's relationship with AI is transformative or merely additive. The Thomson Reuters data suggests we're at a tipping point — adoption has hit critical mass, but the business model hasn't caught up.
Watch for client-side pressure to accelerate. The Wolters Kluwer finding that 62% of legal departments expect the billable hour to diminish isn't a prediction — it's a procurement signal. When the buyers of legal and accounting services start requiring AI-transparent pricing as a condition of engagement, the firms that haven't adapted won't get the chance to catch up.
The billable hour survived document automation, e-discovery, and legal research software. AI might not kill it either. But it is, for the first time, making the alternative pricing models genuinely viable — and the firms that figure this out first will have a structural advantage that compounds over time.
Sources
- 2026 AI in Professional Services Report — Thomson Reuters Institute
- 2026 Future Ready Lawyer Survey — Wolters Kluwer
- AI Will Kill the Billable Hour in Law, Anthropic Top Lawyer Says — Business Insider
- The Billable Hour Isn't Dying. But AI is Transforming it. — Legora
- Beyond the Hype: 2026 is the year AI has to prove itself — Thomson Reuters Australia
- Over half of Australian law firms now have clear AI policies — Agile Market Intelligence
- LexisNexis 2026 Australia AI Sentiment Survey — LexisNexis
- Australia Big Four Look Beyond Accountants to AI-Empowered Grads — Bloomberg Tax
- Law Firms Embrace AFAs, But Clients Want More Flexibility — Best Law Firms
