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I’ve spent over two decades in tech consulting. And for most of that time, the way we’ve measured value has been pretty consistent. You bring expertise, you commit time, you deliver work, and you invoice accordingly. It’s a model that made sense, and in many ways still does.
But lately I’ve been sitting with a question that I think more of us in this industry need to talk about. As AI changes how work gets done, are we still measuring value the right way?
This isn’t a critique of the existing model. It’s more of a thought experiment, one I think is worth having out loud.
The Unit That Built Consulting
The billable hour made sense when the labor was the value. You needed a senior developer; you paid for their time because it was scarce and their skill had taken years to build. The market set the band, the hours added up, and the economic model held.
More hours, more revenue. That was the equation.
But here’s what AI is doing quietly and gradually. It is compressing the hours without necessarily compressing the value delivered. Tasks that once took weeks can now take days. We are still in early days on production-ready AI solutions, and the jury is genuinely out on how deep that compression goes at scale. What I can say with more confidence is that MVP development, idea validation, and early-stage prototyping have already changed noticeably. The directional shift is real, even if the full picture is still forming.
So the question worth asking now, before clients start asking it for you, is how do you price in a world where the hours are shrinking but the value isn’t?
The Talent Gap Is Getting Wider, Not Smaller
There’s a narrative going around that AI is the great equalizer. That lifts all boats. I don’t buy it, at least not in the way people mean it.
What I’m seeing is bifurcation. The developers and solution architects who already had strong judgment, deep domain understanding, and the ability to think at a systems level now have a superpower. AI amplifies what they already know how to do. They are faster, more capable, and more valuable than ever.
The average and below-average are in a harder spot. Not because AI replaced them exactly, but because the gap between them and the top tier just got much wider, and clients can feel it.
The scarce resource was always a good judgment. AI just made that more obvious.
Reevaluate Your Approach to AI in Consulting
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Request a ConsultationThe Case for Outcome-Based Consulting
Here’s where I think the model is heading. Let me use a hypothetical to illustrate, but one grounded in how I’m thinking about deals.
Say a consulting team delivers a solution that saves a client $100K a year. Traditionally, the engagement might be priced at $75K, spread over six months of implementation, with the client recouping that over roughly a year. Reasonable. Defensible. Also, kind of arbitrary.
Now think about it differently. What if that same solution gets delivered faster? The client starts realizing value earlier. The consultant closes sooner and moves to the next opportunity. That acceleration is worthwhile, and it seems fair to have a conversation about pricing that reflects it. Maybe a performance component tied to the timeline, maybe a revised fee structure that captures the compression. Everyone wins, and the deal closes early.
This is the direction of outcome-based consulting points. The value prop becomes here is what you gain, here is what I charge, here is why it’s justified.
I’m not the only one thinking this way. Many firms have already started exploring value-based pricing models. The market is moving.
But I want to be honest about what this model actually requires because it isn’t simple.
First, you are now carrying out some of the business risks. If the projected savings don’t materialize because of poor adoption on the client side, or shifting priorities, or any of the hundred things that happen inside organizations, who owns that? That question needs to be answered before you sign anything.
Second, measuring outcomes is genuinely hard. Hours are objective. ROI is contested. Agreeing upfront on the baseline, the timeframe, and what counts as success isn’t glamorous work, but it is the work that makes this model viable.
Neither problem is unsolvable. But go in with your eyes open.
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Request a ConsultationWe Are Mid-Crossing
Here’s what I keep coming back to. We are not at the end of the billable hour era. We are in the middle of a transition, and that is actually the most interesting place to be.
Clients still budget in hours. Contracts are still written in hours. Procurement teams still think in hours. But the underlying economics are shifting, the talent gap is widening, and the value conversation is moving underneath everyone’s feet, whether they’re paying attention or not.
The firms that start thinking about this now, while the market is still adjusting, will be in a stronger position. The ones that wait until clients start pushing back are going to be playing defense.
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I don’t have all the answers here. This is a thought experiment as much as anything, an attempt to name something I’m watching unfold across the industry. But I think the question is worth asking out loud.
Is the way we measure consulting value keeping pace with the way consulting work is actually changing?
