Britain Doesn’t Need More Engineers.

For most of my working life, I have heard the same prescription for Britain’s economic revival. We need more engineers. We need better vocational education. We need stronger manufacturing. We need closer cooperation between government and industry. We need long-term investment rather than short-term thinking. Roland Carter, Chief Executive of Smiths Industries, made precisely that case in The Times, in a thoughtful and persuasive argument. I agree with almost every sentence he wrote, yet I found myself reaching the same conclusion I have reached so often in recent years. We are becoming remarkably good at describing the symptoms while continuing to misdiagnose the disease.
The remarkable thing is not that Britain lacks reports explaining what needs to be done. It is that every generation produces another report saying almost exactly the same thing. Governments come and go. New industrial strategies are launched with great fanfare before disappearing into Whitehall archives. Skills commissions are established, apprenticeship schemes are announced, and manufacturing summits are convened. Universities are encouraged to produce more STEM graduates. Yet productivity barely moves, investment remains disappointing and each decade begins with the same conversation that ended the previous one.
Whenever this happens in any other field, we recognise what it means. If a doctor prescribes the same medicine for forty years while the patient continues to deteriorate, we do not conclude that the dosage was insufficient. We conclude that the diagnosis was incorrect.
That, I believe, is Britain’s predicament.
Much of my career has been within technology firms rather than government. Reflecting on nearly fifty years, I now see that economies are changed more by architecture than by policy. The institutions, incentives, and assumptions shaping how societies organise knowledge are more influential than individual political choices. Governments tend to focus on programmes, while entrepreneurs think in terms of systems. I often use software language because it better captures reality than political language. Britain isn’t just facing policy issues; it’s dealing with an operating system problem.
This distinction matters enormously. If the operating system itself has become outdated, then no amount of improving the individual applications will produce lasting change. Better vocational colleges, better tax incentives, better procurement rules and more industrial partnerships are all worthwhile. They are applications. They are not the operating system.
The irony is that Britain has shown before that it knows how to create entirely new operating systems. During the Industrial Revolution, we did not simply invent better machines. We created an entirely different way of organising capital, labour, knowledge and production. The steam engine was only one component of a much larger transformation. Financial institutions evolved alongside manufacturing. Scientific societies flourished. Engineering became a respected profession. Transport networks expanded. Education adapted to industry’s demand for new skills. Everything reinforced everything else.
The Industrial Revolution was therefore not solely an engineering story. It was an intelligence story. Society discovered a more effective architecture for organising human capability.
That lesson has been largely forgotten.
I encountered a similar situation, albeit on a smaller scale, at the beginning of the personal computer revolution. When we established Intelligence UK in 1979, we were not driven by an industrial strategy from Whitehall. No government agency prompted us to create management decision-support systems for the then-emerging microcomputers. There was also no national committee outlining how software would evolve into one of the key industries of the next fifty years.
Instead, technology itself changed the economics of innovation.
Machines that had previously been confined to large corporations suddenly became affordable for ordinary businesses. Software replaced expensive consultancy. Small teams could solve problems that previously required entire departments. Alan Wallman developed the software. My role was to build the business, develop the strategy, and watch an entirely new industry emerge almost in real time. Around us, companies such as Acorn, ACT, Psion, Sage and many others were making similar discoveries. None of us believed we were participating in an industrial strategy. We simply recognised that the operating system of business itself was beginning to change.
This historical perspective is often missing from modern industrial discussions. We frequently discuss supporting engineering without considering why moments of exceptional engineering achievement happen. The explanation is simple: talented individuals pursue opportunities.
If engineering becomes the most appealing path to solving major problems, building successful companies, and creating wealth, young people will naturally choose to study engineering without needing persuasive government advertising. Silicon Valley has likely done more to promote computer science than any educational policy could. Opportunities draw talent much more effectively than political speeches.
Here’s why I partly disagree with Carter’s idea that engineering mainly suffers from an image issue. I think the real problem lies in incentives. Young people are very perceptive; they notice where society offers the most rewards. In Britain, for many decades, financial services have been rewarded more than productive innovation. Property has been celebrated more than manufacturing. Trading assets has been encouraged over creating them. This isn’t a failure of engineering itself but a consequence of the incentives shaped by the system within which engineering functions.
The decline of the old polytechnics exemplifies this trend well. Carter is right to mourn the loss of an educational level that once delivered excellent technical training. I share his concern, as my own start in higher education was not at a renowned university but at Southampton College of Further Education, a Technical College that offered diverse vocational courses. I attended there to study for A levels that would secure my university admission. The quality of teaching there had a profound impact on me. These teachers understood that intelligence manifests in different ways. Some students excel through abstract theory, while others thrive through practical problem-solving. Both are vital to the progress of civilisation.
Yet even here we should be careful not to reverse cause and effect. Education certainly matters, but it follows opportunity as much as it creates it. Britain did not become an engineering superpower because it established technical colleges. It established technical colleges because engineering had become one of the country’s most dynamic and respected professions. Demand created supply.
This distinction becomes even more important as artificial intelligence begins reshaping the global economy. Much of today’s discussion assumes that AI is simply another technology to be incorporated into existing institutions. I believe the opposite is true. AI represents a new operating system upon which entirely different institutions will eventually emerge.
Every major technological revolution reduces one particular cost. The steam engine reduced the cost of mechanical power. Electricity reduced the cost of distributing energy. The internet reduced the cost of communication. Artificial intelligence reduces the cost of intelligence itself.
That is an extraordinary statement when one pauses to consider its implications.
For the first time in history, reasoning, analysis, pattern recognition and sophisticated decision-making have become scalable resources available almost anywhere. This changes the economics of organisations. Coordination costs fall. Expertise becomes more widely distributed. Small, highly capable teams become globally competitive. The productive unit of the economy is beginning to shrink again.
This is why I suspect that many of tomorrow’s industrial champions will not resemble today’s industrial giants. They may begin with five exceptionally capable people, assisted by powerful AI systems, rather than five hundred employees organised within traditional hierarchies. Their factories may contain relatively few workers but extraordinary amounts of embedded intelligence. Manufacturing itself becomes software-defined. Engineering becomes concerned not merely with designing machines but with designing intelligent systems capable of sensing, learning, and adapting.
Seen from this perspective, the question facing Britain changes completely. We should not merely ask how many engineers we need. We should ask how we redesign the economic operating system so that engineers, scientists, software designers and entrepreneurs naturally gravitate towards solving the country’s most important problems.
That requires political imagination rather than political management. It means creating institutions for an age in which intelligence itself has become the principal factor of production. It means recognising that productivity will arise from human-machine collaboration rather than from labour alone. It means measuring success not by the size of organisations but by the intelligence they can generate, organise and apply.
Perhaps this explains why so much contemporary political debate feels unsatisfactory. Politicians argue over tax rates, spending plans and regulatory reforms as though we were still living within the economic architecture of the twentieth century. Those arguments matter, but they are about applications. The operating system beneath them is already beginning to change.
History suggests that periods of great national renewal rarely begin with better administration alone. They begin when societies discover more effective ways of organising intelligence. Britain achieved this during the Industrial Revolution. America achieved it during the computer revolution. Today artificial intelligence presents another opportunity of comparable magnitude.
Roland Carter rightly calls for greater ambition in British engineering, and I believe his appeal should be expanded. Britain does require more engineers, enhanced technical education, and better collaboration between business, government, and universities. However, these factors will be results rather than roots if we do not acknowledge the deeper transformation currently happening.
The real challenge is not producing more engineers for yesterday’s economy. It is building an economic operating system worthy of tomorrow’s.
In my new book, The Intelligence Age, soon to be published on Amazon, I argue that civilisations eventually face a point where gradual progress is no longer sufficient because their foundational systems have reached their limits. We are nearing such a turning point now. AI provides Britain with an opportunity beyond mere industrial policy: the chance to fundamentally reorganise how knowledge, capital, production, and human creativity converge to generate prosperity.
Countries that grasp this early will lead the twenty-first century, while those stuck debating incremental updates to the old system risk falling behind as history moves forward.



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