AI Won't Kill Professional Services. Complacency Will.
The professional services industry is having a collective nervous breakdown over artificial intelligence. Lawyers are questioning their billing models. Consultants are wondering whether clients will still need them. Accountants, engineers, marketers, and IT pros are watching machines do in seconds what once took teams of people several days.
Some of the panic is justified. Much of it misses the point.
As a member of the board of several of these firms, I am responsible for looking over the horizon, guiding these businesses through the turmoil of this transition, and helping them to exploit the opportunities it creates.
When I was a young consultant, a client once justified hiring my team by telling his board, “These guys are smarter than us, they work harder, and they’ve done this before.”
Thirty years later, that remains the essence of professional services. Clients don't hire us to produce spreadsheets, write software code, or make pretty PowerPoints. They hire us because we can solve problems they cannot solve themselves. The wisdom and skills required to do that today are every bit as rare and valuable as they were then.
AI changes the tools. It doesn't change the fundamental reason we exist.
That doesn’t mean old business models will not be disrupted, or that messaging and positioning don’t need to change. If you lead a services firm and aren't aggressively exploring how AI can transform every aspect of your business, you risk becoming obsolete. The core value proposition remains getting hard things done and creating new value that justifies your fees. How you do that is changing every day. The past six months have shaken the industry. Who knows what the next six months will bring?
Here are five things to consider when evaluating the impact of AI on your services firm:
1. Client Needs & Expectations – Our clients assume that we are using AI and that it should make what we do for them cost less. In the current environment, those expectations are often overblown, creating friction when closing new business. Be clear about where you are using AI and the valuable role humans still play in the delivery of your services. Orient the client to the value-creation objective, and position yourself on the leading edge of AI adoption without putting them at risk. And for God’s sake, never, ever send obviously AI-generated deliverables to clients. You will break a trust that may be impossible to rebuild. Do the damn work.
2. Leverage Model Changes – Everyone seems convinced that AI will eliminate the bottom of the professional services pyramid. I'm not so sure. What happens when a 24-year-old associate armed with AI can outperform a 40-year-old manager who refuses to embrace it? The leverage model may not disappear. It may simply turn upside down. I am currently working with college interns who are way ahead of the market in their ability to produce solid analysis and first-draft deliverables.
3. The Value of Gray Hair – This is a plug and a prayer for people like me. Historically, professional services firms have commanded premium fees partly because of specialized knowledge that was difficult to obtain. AI dramatically reduces that scarcity. But having access to an answer isn't the same as knowing which question to ask, which recommendation to trust, or how to get an organization to act on it. Young folks may be better at operating the machines, but someone still needs to know where to point them. There is a difference between knowledge and judgment.
4. Commercial Propositions – The billable hour was always an imperfect proxy for value. AI is about to make it ridiculous. If I spend one hour configuring five AI agents that work overnight on five client assignments, how many hours should I bill? More importantly, why should the client care? We should sell outcomes, not the time it takes to produce them. At a macro level, AI-enabled delivery should lower fees while increasing margins, but that depends on how much value we can create and how we share those benefits with our clients.
5. Growth & Market Positioning – If your entire AI strategy is doing the same work with fewer people, you have a cost-reduction plan, not a growth strategy. And whatever savings you achieve will eventually be competed away. The real opportunity is using AI to solve bigger problems, deliver better outcomes, and create value clients couldn't previously imagine. I've lived through three major technology adoption cycles. Each one created winners and losers. The winners weren't necessarily the firms that invented the technology. They were the ones that figured out how to help clients use it. The same thing is happening again. Your clients are just as confused about AI as you are, and many will pay handsomely for someone who can help them navigate the transition. You are supposed to be the smart ones. Start acting like it.
The strategy you put in place back in January likely needs a major refresh, and next year may be too late. The firms that thrive in the AI era won't be the ones that do the same work faster or bill for it differently. They'll be the ones that create opportunities their clients never imagined with solutions they didn’t know existed.
That's what clients have always paid us to do.
The tools have changed. The job hasn't.
