Every significant technology shift produces the same organisational mistake. Executives assume the technology itself requires a strategy. It rarely does.
Cloud was never really about cloud, any more than mobile was really about mobile or the internet was really about the internet. In every case, the technology mattered, but it was never the source of competitive advantage. The organisations that pulled ahead were those that recognised how the technology changed their business, not simply their infrastructure.
AI is following the same trajectory. Yet boardrooms across every industry continue to ask a familiar question.
“What’s our AI strategy?”
Almost without exception, the question lands with the CTO.
This feels logical. AI is technology, and technology belongs to the technology leader.
I think it is the wrong question. Not because AI is unimportant, but because no organisation has ever become more competitive by developing a strategy for a technology. Organisations become more competitive by deciding how they intend to compete. Technology simply expands what becomes possible. Those are very different conversations.
Technology changes. Organisations endure.
History is full of companies that invested in the right technology but achieved very ordinary results. The technology was rarely the problem. More often, they had simply applied new tools to old ways of working.
The early adoption of steam power offers a useful example. Many factories initially replaced water wheels with steam engines while leaving everything else untouched. The machinery remained in the same place, production followed the same flow and the buildings were organised around assumptions that no longer mattered.
The breakthrough came later, when manufacturers realised that the engine itself was only the beginning. Steam allowed factories to be redesigned from first principles. Machines no longer needed to sit beside rivers, production lines could be reorganised and entirely new ways of working became possible.
The competitive advantage did not come from owning a better engine. It came from redesigning the business around what the engine made possible.
The winners didn’t simply adopt a new technology.
They abandoned an old way of working.
Many organisations are trying to bolt AI onto yesterday’s operating model. They are replacing the engine while leaving the factory untouched.
Technology rarely remains the differentiator.
Every important technology follows the same trajectory. It begins as a source of advantage before gradually becoming infrastructure.
Electricity was once transformative. The internet followed the same path, as did cloud computing. Today they are simply expected. Once a capability becomes widely available, the advantage moves elsewhere.
AI will almost certainly do the same. The models will improve, costs will continue to fall and access will broaden. Within a few years, most organisations will be choosing between capabilities that are more alike than different.
When that happens, competitive advantage will no longer come from having access to AI. Almost everyone will. It will come from understanding where AI genuinely changes the economics of the business, where it improves decision-making and where human judgement remains irreplaceable.
Technology becomes commonplace.
Judgement does not.
The easy problems are technical.
Only a few years ago, deploying advanced AI required specialist research teams, significant infrastructure and expertise that most organisations simply did not possess. Today, world-class models are available through an API. The technical barriers have collapsed far more quickly than the organisational ones.
That changes the nature of executive leadership. The difficult conversations are no longer about which model to use or where it should run. They are about accountability, decision-making, governance and organisational design.
Leaders have to decide which work should disappear altogether, which decisions should always remain human and where automation genuinely creates value rather than simply creating activity. Those are not questions that can be delegated to the technology function. They sit at the heart of how an organisation chooses to operate.
Technology, in many respects, has become the easier part.
Why so many AI programmes disappoint
Most AI initiatives begin with understandable enthusiasm. A platform is selected, pilots are launched and demonstrations quickly prove that the technology works. The early results are often impressive.
Then progress slows.
Not because the models fail, but because the organisation behaves exactly as it did before. Approval processes remain unchanged. Governance remains unchanged. Incentives remain unchanged. Reporting structures remain unchanged.
The technology has evolved.
The organisation has not.
Over the years, I have become increasingly convinced that technology rarely transforms an organisation on its own. It amplifies the behaviours that already exist. A decisive organisation often becomes faster. A confused organisation often becomes more confused. The software is rarely the limiting factor.
Speed is a leadership decision.
One of the fastest transformation programmes I have worked on was delivered during the pandemic. Looking back, it is tempting to credit the technology, but that would miss the point entirely.
The pace came from leadership. Decision-making became dramatically faster because it had to. Teams were given clear accountability, unnecessary approvals disappeared and people accepted a level of uncertainty that would have been considered uncomfortable under normal circumstances. The organisation removed much of the friction that usually slows change.
The lesson has stayed with me ever since. Organisations move quickly when leaders simplify decision-making. They slow down when complexity becomes a substitute for judgement. That observation is just as relevant to AI as it is to every other transformation programme I have been involved in.
The role of the CTO is changing.
None of this diminishes the importance of technology leadership. Quite the opposite.
The best CTOs increasingly act as translators between technological possibility and commercial reality. They help organisations understand what is achievable, challenge unrealistic expectations and build the platforms that allow change to happen safely.
What they cannot do is define how the business itself should evolve. They cannot determine corporate strategy. They cannot redesign organisational incentives. They cannot decide which customer experiences matter most or which risks are commercially acceptable. Those are collective executive decisions.
Expecting a CTO to own the AI strategy is rather like expecting a Finance Director to own the company’s growth strategy. Finance enables growth. Technology enables transformation. Neither should be expected to determine the destination.
A better question
Perhaps boards should stop asking their CTO for an AI strategy. The more useful conversation begins elsewhere.
How should the organisation make decisions differently? Which work should no longer exist? Where does human judgement become more valuable, not less? What kind of organisation are we trying to become?
Only after answering those questions does the technology discussion become interesting.
AI is not a strategy. It is another powerful technology that expands what organisations are capable of achieving.
The organisations that succeed will not be those with the most sophisticated models. They will be those that redesign themselves around what those models make possible.
That has been true of every significant technology shift for the past two centuries. There is little reason to believe this one will be any different.