Despite the UK having more than 466,000 software developers, there is still a pressing talent shortage.Research shows that 76% of UK firms struggle to fill IT and data roles, with software engineering among the hardest skills to source. Closing this gap is particularly important as the UK looks to build its sovereign AI capacity, a challenge where the workforce has to crucially keep up with the rate of technology.
National Coding Week is an opportunity to reflect on how coding underpins the UK’s digital future and explore how to strengthen the talent pipeline. This year’s focus on AI highlights both the promise of the technology and the need to build a workforce that is ready to use them wisely.
Senior leaders from the tech industry explain why building and sustaining a coding talent pipeline must be a national priority for the UK to compete on the global AI stage.
The future of every industry runs on code
Coding has shifted from specialist knowledge to an essential business skill, powering innovation and productivity across industries.
This shift is particularly visible in manufacturing, Mark Gray, UK & Ireland Country Manager at Universal Robots, explains:
“The future of work is being written in code. Programming is no longer a niche skill – it’s powering careers in AI and automation, particularly in manufacturing. As industries embrace digital transformation, AI is driving smarter processes, optimising precision and productivity in tasks that were once entirely manual.
“Around 20,000 of the UK’s 27,000 manufacturing SMEs still operate without robots, representing an untapped opportunity worth £150 billion over the next decade. Turning this opportunity into reality requires developing the skills of tomorrow’s workforce.”
For Rob Gray, Engineering Manager at Vet-AI, coding can transform how we deliver care; however, he also cautions against careless innovation:
“In veterinary medicine, technology is at the heart of helping vets deliver faster and more effective care to pets, from AI diagnostics to tools that make everyday tasks more efficient. Every line of code should improve pet health and support the vets behind it.”
“AI must be rigorously tested for accuracy and safety, but also for empathy, because we know how stressful it is for owners when a pet is unwell. For aspiring coders, the lesson is simple: focus on solving real-world problems, test your ideas and iterate.”
Building the coding workforce pipeline
Closing the gap starts with education aligned to industry needs. Lifelong learning and industry partnerships are essential.
For Alois Reitbauer, Chief Technology Strategist at Dynatrace, curricula must prepare learners for a future defined by AI:
“A future-proof coding course should focus on understanding AI behaviour and constraints, using open-source libraries safely, and critically analysing AI-generated solutions. Establishing a curriculum that trains developers not just for current positions but prepares them for future challenges is critical. Without making these strides in coding education now, there will be greater risk of creating a generation of developers who are underqualified to handle the complexities of AI-assisted coding.”
The need for continuous development extends well into professional life. Jon Friskics, Senior Software Development Author at Pluralsight, highlights:
“Technology is moving at such a rapid pace that the skills learnt just two years ago can quickly become outdated – especially for coders who are now required to use AI in their work. Even the most experienced coders must actively engage in learning new technologies, practicing regularly through coding challenges, and refining their understanding of design patterns.”
While Chris Wysopal, Co-Founder and Chief Security Evangelist at Veracode, warns of the risks of overlooking emerging talent:
“Only 55% of AI-generated code meets basic security standards – that should be a wake-up call. Cybercriminals already see the value of raw talent, recruiting teenagers from gaming forums and Discord servers. If we want to keep pace with both innovation and cybercrime, we need to widen the net and show young coders that curiosity can be a career, not a liability.”
AI is changing who codes and how
AI tools are lowering barriers and reshaping what it means to be a developer.
Rohit Gupta, UK&I Head at Cognizant explains how AI is democratising coding:
“By lowering the barrier to entry through prompt engineering and vibe coding, AI enables early-career developers to contribute meaningfully without years of experience. More than a fifth of our code is now AI-generated, and juniors using these tools have boosted their productivity by 37% – more than double their senior peers. As coding becomes more democratised and less menial, the skills that matter most are adaptability, creativity, and cross-functional thinking.”
Manvinder Singh, VP of AI Product Management at Redis outlines both the benefits and the responsibility:
“It’s fitting that National Coding Week’s focus this year is on AI. AI coding tools are now essential to the modern developer’s toolkit. By accelerating routine processes and reducing cognitive load, they are freeing up time for more strategic or creative work. As AI becomes more embedded in everyday workflows, the focus must be on responsible adoption, balancing speed with oversight and innovation with inclusion, to ensure long-term benefits are widely shared across the industry.”
Similarly, Kun Chen, Lead Principal Engineer at Atlassian stresses that human oversight must remain central:
“AI should never be treated as a fully autonomous solution from day one. The only way to adopt it successfully is to ensure that humans remain in the driving seat from the get-go. Keeping humans in the loop isn’t about fixing AI mistakes after the fact, but about shaping systems that are fair, contextual and accountable. AI isn’t here to replace people, it’s here to partner with them.”
Coding securely in the age of AI
Finally, as AI speeds up coding and delivery, it also widens the cyber-attack surface. Security must therefore be embedded into development from the outset.
Lori Macvittie, Distinguished Engineer at F5 underscores the importance of designing with security in mind:
“Secure coding can’t be an afterthought. It also can’t fall solely on developers’ shoulders. As AI accelerates software delivery and vibe coding becomes the norm, the attack surface keeps expanding. We need to stop expecting developers to single-handedly stop every breach. Instead, security demands system-level thinking; multiple layers of defence for the multiple types of attack we face. ”
Beyond a ‘week’: sourcing and nurturing coding talent
Building a coding talent pipeline is vital for the UK’s AI-driven future. From schools to seasoned professionals, and from responsible AI use to cybersecurity, this work must extend well beyond a single awareness week. Sustained national effort is the only way to secure the UK’s place as a global AI leader.
