The UK’s next push to “reindustrialise” is being quietly reframed around a deceptively simple idea: if Britain wants to rebuild productive capacity, it needs to manufacture the tools that make modern industry run. In comments to the Financial Times, AI minister Kanishka Narayan said the new prime minister views technology not as a distant research agenda, but as a practical route to restoring national momentum—“to get its mojo back”—with reindustrialisation at the centre of that story.
What makes the message notable is the specificity. Rather than pitching a broad, aspirational vision of innovation, Narayan pointed to chips and drones as emblematic technologies—hardware that can be scaled, deployed, and measured. The implication is that policy will increasingly be judged not by how many pilots are announced, but by whether the UK can build components, integrate systems, and create jobs that last beyond the lifespan of a grant.
This approach marks a shift in tone from earlier industrial strategies that often treated advanced technology as an add-on to existing sectors. Here, technology is positioned as the backbone of industrial capability itself. Chips represent the upstream foundation—computing power, control systems, and the supply chains that feed everything from factories to defence. Drones represent the downstream application—automation, inspection, logistics, and data capture in environments where labour shortages and safety risks are already forcing change.
Taken together, the chips-and-drones framing suggests a strategy built around two linked goals: first, strengthening the UK’s ability to produce or at least reliably source critical hardware; second, using that hardware to modernise operations across manufacturing, energy, agriculture, construction, and public services. It is a model that treats industrial policy as an ecosystem rather than a single sector plan.
A “mojo back” industrial strategy: why hardware matters
The phrase “get its mojo back” may sound like political branding, but it also signals a particular diagnosis of Britain’s economic challenge. The UK has long been strong in services, finance, and high-value research, yet it has struggled to convert technological advantage into mass manufacturing and sustained productivity growth. That conversion problem is not simply about funding; it is about capability—engineering talent, production know-how, procurement pathways, and supply-chain resilience.
Chips and drones sit at the intersection of those capability gaps. Semiconductors are notoriously difficult to build and even harder to scale without deep industrial coordination. Drones, meanwhile, are easier to prototype than to operationalise: they require regulatory clarity, reliable components, maintenance ecosystems, and integration with real workflows. Both therefore test whether the UK can move from concept to capability.
Narayan’s comments also hint at a more pragmatic definition of “AI” in government thinking. AI is often discussed as software—models, platforms, and algorithms. But the minister’s emphasis on chips suggests a recognition that AI’s real-world impact depends on compute availability and performance, which in turn depends on semiconductor supply chains and manufacturing capacity. Drones add another layer: AI becomes useful when it can be embedded into machines that operate in the physical world, collecting data and performing tasks with minimal human intervention.
In other words, the strategy appears to treat AI as a system property, not a standalone product.
Chips: the upstream battleground for productivity
Semiconductors are frequently described as strategic assets, but the UK’s relationship to them is complicated. The country does not currently have the same scale of leading-edge chip manufacturing as some peers, and the global market is dominated by a small number of highly capital-intensive players. Yet semiconductors still matter deeply to the UK economy because they underpin industrial automation, communications, medical devices, automotive systems, and defence capabilities.
A reindustrialisation plan built around chips therefore does not necessarily mean the UK will suddenly become a dominant wafer producer. Instead, it points toward a broader set of interventions: strengthening design capabilities, improving access to advanced packaging and testing, supporting domestic assembly and integration where feasible, and ensuring that critical supply chains do not become bottlenecks during periods of geopolitical stress.
There is also a less visible but equally important angle: chips are a proxy for industrial discipline. Manufacturing semiconductors requires precision engineering, clean-room processes, quality control, and long-term investment horizons. Even if the UK focuses on specific segments of the value chain—such as equipment, materials, testing, or specialised components—the act of building those capabilities can spill over into other areas of industrial competence.
For policymakers, that spillover is attractive. It offers a way to justify industrial spending as capability-building rather than subsidy. If the UK can develop the workforce and infrastructure needed to handle advanced electronics, it can then apply those skills to adjacent manufacturing sectors, from robotics to aerospace components.
The “employment-and-productivity lever” framing
Narayan’s comments also suggest that the government intends to treat technology policy as an employment and productivity strategy, not merely an innovation programme. That distinction matters because it changes what success looks like.
Innovation programmes can be judged by publications, patents, prototypes, and venture funding. Industrial programmes, by contrast, must answer harder questions: How many people will be hired? What skills will they use? Will companies invest their own money after public support ends? Can the UK compete on cost, reliability, and delivery times? Will procurement policies create stable demand for domestically integrated products?
Chips and drones are well suited to this kind of measurement. They are tangible, and they can be tied to procurement and deployment. A drone programme that results in routine inspections of infrastructure, for example, can be evaluated through reduced downtime, improved safety outcomes, and measurable productivity gains. A semiconductor initiative can be assessed through design-to-production timelines, the growth of domestic supply-chain partners, and the ability of UK firms to secure components at scale.
This is where the “mojo” language becomes more than rhetoric. It implies a desire to restore confidence in the state’s ability to deliver outcomes—confidence that has often been undermined by the gap between ambitious announcements and operational results.
Drones: from novelty to industrial workflow
Drones have moved from consumer gadgets to industrial tools faster than many expected, but the transition is uneven. In the UK, the most compelling drone use cases tend to be those where the economics are clear: reducing inspection costs, improving safety by keeping workers away from hazardous sites, accelerating surveying and mapping, and enabling rapid response in emergencies.
However, scaling drones is not just a technical challenge. It is a systems challenge. Drones need reliable sensors, robust communications, battery supply, maintenance procedures, and software that integrates with existing asset management platforms. They also require regulatory compliance and operational training.
That is why drones are such a powerful symbol for reindustrialisation. They force government and industry to confront the full chain of adoption: standards, procurement, training, and the creation of service ecosystems. If the UK can build those ecosystems, it can create jobs not only in manufacturing but also in operations, maintenance, and data processing.
There is also a strategic dimension. Drones can support defence and security needs, but they also have civilian applications that can be scaled across sectors. A reindustrialisation drive that includes drones therefore has the potential to create cross-cutting benefits: better infrastructure monitoring, more efficient construction planning, improved agricultural targeting, and enhanced environmental monitoring.
The unique take: reindustrialisation as “capability stacking”
One way to understand the chips-and-drones emphasis is through the concept of capability stacking. The UK’s industrial weakness is not simply a lack of ideas; it is a lack of stacked capabilities—where design, manufacturing, deployment, and maintenance reinforce each other.
Chips represent the compute and control layer. Drones represent the deployment layer. Between them sits a wide range of intermediate capabilities: embedded systems engineering, sensor integration, robotics software, industrial-grade manufacturing processes, and the ability to certify and maintain complex equipment.
If government policy supports only one layer—say, funding AI research without ensuring compute access or deployment pathways—then the system stalls. If it supports only deployment without reliable hardware supply, it becomes dependent on imports and vulnerable to supply shocks. The chips-and-drones framing suggests an attempt to align multiple layers so that progress in one area strengthens the others.
This is also why the strategy could be more durable than typical technology announcements. Hardware ecosystems tend to create long-term relationships between firms, suppliers, and customers. Once a drone maintenance and data workflow is established for a utility or a construction contractor, it becomes part of how work is done. Once a company builds internal expertise in integrating advanced electronics, it becomes harder to reverse.
In that sense, reindustrialisation is not just about building factories; it is about building repeatable processes that keep producing value.
How policy could translate into action
While Narayan’s comments focus on direction rather than detailed measures, the logic of the approach points toward several likely policy moves.
First, there is likely to be greater emphasis on procurement as industrial policy. If government departments and public bodies buy systems that incorporate domestic or UK-integrated hardware, they create predictable demand. That demand can help companies justify investment in production capacity, workforce training, and supply-chain development.
Second, there may be more support for scaling from pilot to deployment. Many technology initiatives stall at the demonstration stage because procurement rules, risk assessments, and operational readiness requirements are not aligned with the realities of new hardware. A reindustrialisation agenda would need to streamline pathways for trials that lead to contracts, and contracts that lead to ongoing service relationships.
Third, the government may seek to strengthen the UK’s position in the semiconductor value chain beyond pure manufacturing. That could include incentives for advanced packaging, testing, and design capabilities, as well as support for companies that build industrial-grade electronics and embedded systems. The goal would be to ensure that UK firms can access the compute and components needed to build competitive products.
Fourth, drones imply a need for regulatory clarity and operational training. If the UK wants drones to become a mainstream industrial tool, it must reduce friction for operators while maintaining safety. That means working with regulators, industry bodies, and training providers to create practical standards that enable scaling.
Finally, there is the workforce question.