AI won’t replace consultants — but it changes the value of Delivery
AI does in an hour what usually took a week — are you able to take advantage of it?
Access to the best knowledge has ceased to be a competitive advantage and has become a commodity. Language models write analyses, strategies and recommendations faster than a consultant can book a conference room.
But the December 2025 PMI data reveals a paradox: organizations know what to do more than ever — and that’s why they’re paying more for someone who actually does it.
In this article, you will learn:
- why the democratization of knowledge by AI paradoxically increases—rather than decreases—the demand for external deployment partners
- what the latest PMI data say about the scale of the gap between strategy and its execution in organizations undergoing digital transformation
- how the economics of intellectual work are changing and why the “we pay for a recommendation” model is losing its raison d’être
- what three specific actions should the board take to select the right partner and properly allocate the transformation budget
- who is the consultant of the future and how does a change architect differ from its operator?
The trap of free access to expert knowledge
Imagine that in 2019 you ordered a market analysis for 80 thousand zlotys. Six weeks of work by a team of analysts, 140 slides, executive summary with recommendations. Today, the same range, with similar substantive quality, generates an AI model in thirty minutes. Cost: a few zlotys per inquiry.
This is not science fiction, it is the facts of 2026.
And yet, consulting companies are growing. Transformational projects are not disappearing – there are more of them. The demand for external advisors is not decreasing. Why? Because the market has discovered that compressing the analysis stage to minutes does not solve the right problem. The real problem lies elsewhere and is much more difficult.
A gap that AI won’t fill
A December 2025 survey by the Project Management Institute (PMI) of more than 5,800 professionals and executives from around the world revealed that the biggest barrier to transformation is not a lack of ideas, capital or technology – but the widening gap between strategy and execution.
The numbers are merciless: only half of projects today meet the modern definition of success, 13% end in complete failure, and 37% deliver only a fraction of the intended results. 01net
In other words: every second transformation project does not return the invested capital. And this is exactly when organizations are investing unprecedented amounts in AI and digitalization.
For 35% of CEOs surveyed, the main barrier to reinventing an organization is the split between planning and execution — more than any other factor. PMI : Not technological competence. Not the budget. Not access to knowledge. Execution gap – Deployment gap.
AI is excellent at shortening the diagnosis stage. But he does not enter the board meeting, does not negotiate with organizational resistance, does not guide leaders through the change they fear the most.
The economics of intellectual labor has undergone a mutation
For decades, the value model in consulting has been based on information asymmetry. The consultant knew more than the client — about the market, about benchmarks, about how other companies solved a similar problem. Hundreds of dollars per hour were paid for this advantage. Now this asymmetry has disappeared.
Today, an experienced manager with access to AI tools can build a competitive analysis, a scenario financial model, and a map of regulatory risks in a few hours. The quality is not yet up to par with the work of the best analysts — but it is good enough 80% of the time. And it costs a fraction of the old price.
The consistency is fundamental: the recommendation has ceased to be a premium product. What used to be the essence of a consulting offer — “we’ll tell you what to do” — today has an increasingly lower entry threshold and is increasingly commoditized.
72% of executives surveyed point to AI and automation as the main factor forcing them to rethink their business and operational model. But this is only the beginning of the road. Changing the operating model in an organization employing several thousand people is a project for years, not weeks.
New currency: the ability to make a change
With the diagnosis standing and prescriptions available almost on-demand — what are organizations really buying from external partners in 2026?
They buy execution capacity — the operational ability to drive change by an organization that has its own interests, silos, resistances, and rhythms of work. They buy a service where they expect responsibility for the effect.
The PMI study clearly shows that organizations are clear about their purpose, but their operating models and governance structures are not designed to relocate capital and talent quickly enough. So they do not suffer from a deficit of knowledge about what to change, but from a deficit of the ability to carry out this change through structures that have their own inertia, their own interests and their own rhythms of work.
The consultant of the future is not an analyst with a laptop — he is the architect of change and its operator. The difference is fundamental: the architect designs what the change should look like; The operator is responsible for the fact that it actually happens. The market is increasingly paying for the combination of both roles in one partner.
Three signals that management boards should read today
First: change the criterion for choosing a partner. The question “how many years of experience does your team have in this industry?” loses relevance as AI democratizes access to industry knowledge. The real question is, “How many projects of a similar scale did your team actually deliver — and what were the measurable results 12 months after closing?”
Second: shift the budget from the diagnosis phase to the implementation phase. Organizations that maintain a 70/30 ratio in favor of analytics at the expense of implementation are wasting resources. In a world where the AI model generates a diagnosis in an hour, a sensible allocation is to reverse this proportion. More time and money for change management, for redesigning processes, for hard work with people — not for another strategic workshop.
Third: require performance-based contracts. The traditional “time and materials” model — we pay for the presence of a consultant, not for the result — is a relic of an era when access to an expert alone was a value. Today, partners who are ready to take financial responsibility for achieving a defined KPI are a signal of operational maturity. Those who avoid this are protecting the revenue model—not the interests of the customer.
Who will survive the reinvention of consulting
PMI data shows that organizations that use an approach that combines structured project management with AI tools significantly increase their transformational success rate — almost triple compared to those that don’t use any consistent model.
This is good news for consultants who understand that their value lies not in a monopoly on knowledge — but in their ability to combine technological agility with human implementation wisdom. AI speeds up delivery. But it does not replace a leader who can lead an organization through change when that organization loudly says “no.”
The question that should keep every consulting company president — and every CPO on the client’s side — awake at night today is one: Do we pay for the report or for the result?
The answer to this question determines whether your organization will belong to the 50% with success or to the rest.
Sources
- Project Management Institute (PMI) Step Up: Redefining the Path to Project Success with M.O.R.E., December 2025. Available on: pmi.org
- Boston Consulting Group (BCG) AI Transformation Is a Workforce Transformation, luty 2026; Strategies to Tackle the AI Skills Gap, January 2026; Are You Generating Value from AI? The Widening Gap, October 2025. Available on: bcg.com
- McKinsey Global Institute The Economic Potential of Generative AI: The Next Productivity Frontier, McKinsey & Company, 2023. Available on: mckinsey.com
