AI will not replace consultants, but it is redefining the value of Delivery
Author: Paweł Nowak, CEO
AI can do in an hour what used to take a week. Can Your Organization capitalize on it?
Access to the best knowledge is no longer a competitive advantage. Increasingly, it is becoming the standard. Large language models can produce analyses, structure data and prepare recommendations faster than a consultant can book a meeting room. This changes the rules of the game. If knowledge and an initial diagnosis can now be obtained almost instantly, simply answering the question “What should we do?” becomes less valuable.
A different and far more difficult question emerges instead: who can actually implement it effectively?
Data published by the Project Management Institute (PMI) in December 2025 illustrates this paradox. Organizations have easier access than ever to knowledge, technology and tools, yet they continue to struggle with the gap between strategy and execution. AI can accelerate the process of finding an answer. It cannot, however, make an organization move faster automatically. And this is precisely where the new value of consulting begins.
In this article, we explore:
- why the democratization of knowledge through AI is, paradoxically, increasing demand for external delivery partners
- what PMI data reveals about the gap between strategy and transformation execution
- how AI in business is changing the economics of knowledge work and the consulting market
- why value is shifting from recommendations towards effective implementation
- what organizations should now expect from consultants and transformation partners.
The trap of free access to expert knowledge
Imagine that in 2019 you commissioned a market analysis for PLN 80,000. Six weeks of work by a team of analysts, 140 slides and an executive summary with recommendations. Today, an AI model can perform a significant proportion of that work in a matter of minutes.
Only a few years ago, this would have sounded like science fiction. Today, it is one of the most visible examples of AI in business. And yet transformation projects have not disappeared. Companies continue to work with external experts. Consulting is not becoming obsolete.
Why? Because reducing several weeks of analysis to several dozen minutes does not solve the hardest problem. Knowing what should be done is one thing. Getting an organization to actually do it is an entirely different matter. This distinction will increasingly define the value of consulting services, including those described as AI consulting or AI strategy consulting.
The Gap AI Cannot Close
PMI research published in December 2025, based on a survey of more than 5,800 professionals and executives worldwide, shows that one of the greatest challenges in transformation remains the gap between strategy and execution.
The figures are telling: approximately half of all projects meet the modern definition of success, while 13% fail completely and 37% deliver only part of the intended outcomes.
In other words, every second project falls short of achieving its full intended success. And this is happening at a time when organizations are investing heavily in digitalization, automation and artificial intelligence.
For 35% of the leaders surveyed, one of the main barriers to organizational reinvention is the disconnect between planning and execution. The challenge is therefore not simply a lack of technology, budget or access to knowledge. It is the execution gap: the difference between what an organization intends to achieve and what it is actually capable of delivering.
AI is exceptionally effective at accelerating diagnosis. It will not, however, walk into a board meeting and resolve a conflict between two areas of the business. It will not persuade people to change the way they work. It will not take responsibility for a delayed workstream. And it will not lead a project when the original plan stops working.
The economics of knowledge work is changing the rules of the game
For decades, much of the value of consulting was based on information asymmetry. Consultants knew more than their clients. They had access to benchmarks, experience from other organizations, methodologies, models and solutions used across the market. Companies were prepared to pay premium rates for access to that knowledge.
AI is rapidly reducing that advantage. An experienced manager equipped with the right tools can now prepare an initial competitor analysis, business scenarios, a risk assessment or potential solutions to a problem within a matter of hours.
This does not mean that AI replaces expert experience. But as knowledge itself becomes more accessible, what organizations should expect from consulting is also changing. A recommendation is no longer necessarily a premium product. The barrier to entry for the “we will tell you what to do” model is becoming increasingly low.
Far greater value lies in answering a different question: “how do we make it happen in practice?” According to PMI, as many as 72% of surveyed executives identify AI and automation as a major factor forcing them to rethink their business and operating models. But this is only the beginning of the journey. Changing the operating model of an organization employing several thousand people is a multi-year undertaking, not a matter of weeks.
The new currency of consulting: the capacity to Deliver change
If diagnosis is becoming faster and recommendations are available almost on demand, what does an organization really need from an external partner? It needs execution capacity: the ability to deliver change within a specific organization, with all its structures, silos, constraints, competing interests and its own pace of operation.
It needs a partner who can enter the project and help make that change happen. Sometimes as a Program Manager or Project Manager. Sometimes as an analyst, architect, technology expert or specialist responsible for a specific area. Sometimes as an entire team that strengthens the organization at a point when it lacks the necessary capabilities or simply does not have enough time.
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.
This is where experienced consultants, interim experts and partners capable of connecting strategy with execution create real value.
The consultant of the future will not be merely an analyst with a laptop. They will be both: architect and the operator of change.
Three changes executives should make today
First: change the criteria you use to select a partner. The question “How many years of experience does your team have in this industry?” becomes less meaningful when AI democratizes access to industry knowledge. A better question is: “How many projects of comparable scale has your team actually delivered, and what measurable results did they produce 12 months after completion?”
Second: shift the budget emphasis from diagnosis to implementation. Organizations that maintain a 70/30 budget split in favor of analysis are wasting resources. In a world where an AI model can produce an initial diagnosis in an hour, a more rational allocation means reversing that proportion. Spend more time and money on change management, process redesign and the demanding work of implementing change with people, rather than on yet another round of strategy workshops.
Third: require contractual accountability for outcomes. The traditional time-and-materials model, in which fees depend primarily on the consultant’s time rather than the outcome achieved, is a relic of the past. A partner prepared to take responsibility for clearly defined KPIs and concrete project outcomes demonstrates a far stronger level of operational maturity than one that bills solely for time and involvement.
The reinvention of consulting. Who will gain the advantage?
PMI data shows that organizations combining structured project management approaches with AI tools can increase their transformation success rate nearly threefold compared with organizations that do not apply any coherent model.
This is good news for consultants who understand that their value no longer lies in having a monopoly on knowledge. It lies in the ability to combine technological capability with practical implementation wisdom.
It is therefore worth asking one simple question: what are you really paying your partner for: a report or a result? The answer may determine whether your organization joins the 50% of companies that successfully deliver their transformation.
At Carrywater, we help organizations move from knowledge and ideas to tangible business outcomes. We provide experienced interim experts who can join a project directly, take responsibility for specific areas and strengthen the organization wherever capabilities or resources are most needed.
If what you need is not another set of recommendations, but experienced people who can help you lead change and deliver the outcome, let us talk.
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
