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The Growth of AI related jobs in the UK…

The 41.8% year-on-year rise in UK AI-related technology vacancies is best understood as a combination of rising business adoption, the move from experimentation to implementation, and a shortage of people with proven AI delivery experience. It refers to advertised vacancies, not confirmed hires or net new jobs, so it measures employer demand rather than employment growth.

AI adoption is becoming mainstream

AI use among UK businesses with 10 or more employees rose from approximately 12% in late 2023 to around 35% by June 2026. Larger businesses are further ahead, with 49% of firms employing 250 or more people reporting AI use. As adoption expands, organisations need people to build, integrate, secure and manage AI systems.

The most common applications include large language models, visual content generation and machine-learning-based data processing. This is creating demand beyond research teams, including implementation, data engineering, platform, product and governance roles.

Businesses are moving from pilots to production

Many employers are no longer asking whether they should use AI; they are deciding how to deploy it safely and at scale. That requires specialists who can connect AI models to company data, workflows and existing systems.

The strongest demand is therefore likely to be for practical delivery skills, including:

  • Machine-learning and AI engineering.
  • Data engineering and data science.
  • Generative AI and large-language-model implementation.
  • AI product and programme management.
  • Cloud and platform engineering.
  • Model evaluation, governance, risk and cybersecurity.
  • Automation and workflow integration.

This helps explain why the vacancy increase is occurring even while overall UK vacancies have declined. AI is being treated as a strategic investment area rather than as a normal replacement-hiring category. Overall UK vacancies fell to 712,000 in April–June 2026, while technology vacancies increased 4.3% year-on-year and AI-related vacancies rose 41.8%.

Demand is spreading across non-tech sectors

AI hiring is no longer restricted to software companies. Financial services, professional services, healthcare, manufacturing, retail and public-sector organisations are building internal AI capability or hiring suppliers to implement it.

This broadening of demand is important for recruiters: a company does not need to describe itself as a technology business to be competing for AI engineers, data specialists or AI transformation leaders. It also means candidates with sector knowledge and implementation experience can be particularly valuable.

There is a shortage of experienced AI professionals

The UK Government’s AI Labour Market Survey found that 97% of respondents identified at least one AI skills gap, while 35% of organisations reported difficulty filling AI vacancies. The leading problems were insufficient work experience and inadequate technical skills, with senior roles particularly difficult to fill.gov

This creates a positive feedback loop in vacancy data: more organisations want AI capability, but the limited supply of experienced candidates means roles remain open for longer and are advertised repeatedly or across a wider range of channels.

AI is being used to improve productivity

Improving business operations is the most common reported use of AI among larger UK businesses. Although most organisations say AI has not yet changed their overall headcount, they are hiring to improve productivity, automate processes and make existing teams more effective.

The resulting roles are often not pure research positions. They are more likely to involve applying AI to commercial problems—for example, automating customer service, improving forecasting, analysing documents, supporting software development or embedding AI into business applications.

AI skills are spreading across existing technology roles

The growth is not limited to jobs with “AI” in the title. Employers increasingly want software engineers, data analysts, cloud specialists, product managers and cybersecurity professionals who can work effectively with AI tools and systems.

PwC’s 2026 UK analysis reported a 61% increase in postings for specialist AI roles in 2025, despite a 6.6% fall in overall vacancies. Its wider analysis also indicates that AI is changing the skills expected within existing professional roles, not simply creating a separate AI occupation.

Investment is following strategic importance

AI is increasingly linked to competitiveness, cost reduction and digital transformation. Companies that have already invested in data platforms, cloud infrastructure or automation are better positioned to deploy AI, creating follow-on demand for specialists who can turn those investments into operational capability.

This is particularly relevant to ERP and business software recruitment. AI projects often depend on clean business data, integrated systems and well-defined workflows, so demand can extend to solution architects, data integration specialists, Dynamics consultants, Business Central professionals and technology change managers.

What the figure does not prove

The 41.8% figure should not be interpreted as:

  • A 41.8% increase in the number of people employed in AI.
  • Proof that every AI role is newly created.
  • Evidence that AI is increasing total headcount across all businesses.
  • A guarantee that salaries or hiring volumes will rise at the same rate.
  • A direct measure of completed appointments.

Some of the increase may reflect new terminology, employers reclassifying existing technology roles as AI-related, or a relatively low comparison base. The strongest conclusion is that employer demand for AI-labelled and AI-enabled technology capability is accelerating sharply.

Recruitment takeaway

For UK tech recruitment, the opportunity is shifting from sourcing only “AI specialists” to identifying people who can implement AI in a real operating environment. Candidates with a combination of technical depth, data and cloud capability, commercial understanding, governance awareness and sector-specific delivery experience are likely to be more valuable than candidates with AI keywords alone.