Scotland’s new AI Strategy for 2026 to 2031 is ambitious, projecting that AI could add £23 billion to Scotland's annual GDP by 2035. It aims for responsible and inclusive growth, fair work principles, and a new national transformation programme called AI Scotland. All of this is welcome. The question is whether aspiration will translate into the kind of concrete action needed now to address the immediate challenge for jobs, felt most acutely by the young.
AI brings big challenges, with the sheer speed of progress perhaps the hardest for businesses to grasp. It is already reshaping hiring patterns, hollowing out entry-level roles, and restructuring the economics of key industries, such as finance. Scotland is no more insulated from these forces than anywhere else.
UK labour market data is already warning. Recent research from King's College London found that firms with workforces highly exposed to AI capabilities reduced total employment by an average of 4.5%, with the effect concentrated in junior positions. Graduate job postings have declined by around a third since 2022. And sectors with higher AI adoption have on average experienced greater slowing in wage growth. This includes many professional and technical services.
The roles at greatest risk are precisely the kind of entry-level positions that allow people to build careers. Scotland's universities produce talented graduates across law, finance, computing and life sciences. These young people have a contribution to make if only they could enter the labour market.
The Governor of the Bank of England has explicitly warned that AI could damage the talent pipeline that allows workers to progress from junior positions into senior ones. The apprenticeship model of the knowledge economy - where people learn by doing less complex work before being trusted with more - is being disrupted before any alternative pathway has been established.
There is a strategic threat, too. Europe is leading in AI adoption but falling behind in transformation. Many organisations are stuck in using AI in a relatively basic way to summarise emails and manage documents, but much greater potential for productivity gains lies in new AI technology. Over the last twelve months, agentic AI has emerged as the next major divergence for businesses. This involves empowering AI for more independent proactive roles, taking on tasks such as customer onboarding, predictive maintenance and fraud prevention. The technology promises much in terms of productivity, innovation and growth, but there are real barriers to adoption.
Embedding advanced AI can let organisations move beyond efficiency gains to radically transform how they operate and serve customers. But first there are major hurdles to overcome. Larger enterprises have more complex processes and often a legacy structure, needing more careful planning. Many workflows need to be reinvented alongside management of stakeholders and consideration of risk, governance and regulation. All that takes time in a bigger or older organisation. Scotland’s major sectors, such as financial services and health, are heavily regulated and any significant change requires approval. Some organisations are finding that a large portion of their technology budgets are being spent on compliance.
In financial services, around three quarters of UK firms already use some form of AI, but there is a gap between broad deployment and meaningful transformation. The industry regulator, the Financial Conduct Authority, has deliberately chosen not to introduce AI-specific regulation, relying instead on existing frameworks to govern how firms use the new technology. This has the advantage of flexibility, but it leaves boards and compliance functions navigating significant uncertainty. What harm might an AI system cause and where does accountability sit? And for major Scottish finance firms operating internationally, fragmented regulation means that AI comes with real risk.
Too many organisations are still in an experimental stage where they run pilot projects but are slow to scale up what is successful. Workforce skill gaps may be part of the problem in rolling out new practice but management need to step up training if individual employees are to responsibly use the tools on a daily basis. Typically what is missing is a plan of action – it is estimated that fewer than one third of businesses have a formal AI strategy. Organisations need to set goals, not just have a general direction of travel.
For workers, the roles most at risk in the immediate term are those involving repetitive cognitive tasks; data entry, routine financial analysis, standardised report writing and first-pass document review. The roles that are better insulated, at least for now, are those requiring complex judgement in unpredictable environments, senior accountability, and genuinely creative or interpersonal skill.
In time, jobs will be unbundled as individual tasks move to AI, but whether the job itself disappears will depend on how how much human work is involved in the bundle. The ability to work with AI tools, evaluate their outputs critically, and know when human judgement should override is itself becoming a core professional skill across every sector.
It might seem that AI will de-skill many roles but the immediate challenge for organisations is to increase workforce training, investing in people alongside technology. This is not easy when budgets are already squeezed and some shedding of labour is inevitable. Skills shortages remain a primary challenge to AI adoption, with many businesses lacking the talent, workforce readiness, or capacity needed to scale AI use effectively. For the young people unable to start their hoped-for careers, entrepreneurship may be an option – our economy could gain from supporting new business. The alternative for Scotland may be an exodus of graduate talent.
The most urgent gap is not in strategy but in implementation capacity. Scotland now has a published AI strategy, an AI Scotland programme and a new AI Growth Zone in Lanarkshire. Scotland’s Technology Council, in its Vision 2035 report, wants the nation to become a global leader, addressing structural barriers that have historically constrained growth, noting issues with leadership capacity. Ambitious, certainly, but removing the many current frictions will not be easy. Any delay now in meaningful action would risk the economic growth that Scotland needs.