Expected value thinking in UK workforce planning

Expected value thinking means weighing each hire by the range of outcomes it could produce and the odds of each, so workforce plans account for a decade of AI-driven growth rather than a single forecast.
Author

Jordan Van Tonder

Job Title

Strategy and Delivery Lead

What does the AI transformation hiring market look like right now?

The direction of travel is clear, and the scale is larger than most plans assume. Across AI-related occupations, the net change ranges from roughly 696,000 jobs in an automation-led scenario to about 1,072,000 in a technological-opportunities scenario, with replacement demand sitting between 3,077,000 and 3,193,000 jobs AI Skills for Life and Work: Labour market and skills projections - GOV.UK. That spread is the whole point of expected value thinking. You are not planning for one number, you are planning across a range of plausible futures.

Demand for key occupations will grow by nearly 25% over the next decade, with 1.8 million new priority jobs expected by 2035 GOV.UK - Landmark report sets out action to address key skills gaps (Skills England). At the same time, the government has set out a partnership to upskill 7.5 million UK workers in essential AI skills by 2030, equivalent to around 20% of the UK workforce techUK. When a fifth of the workforce is being retrained, the people you hire today sit inside a moving market.

Which roles and dynamics are driving demand?

The pressure is not spread evenly. Occupations in digital, adult social care, construction and engineering show the greatest additional employment demand between 2025 and 2030 GOV.UK - Assessment of priority skills to 2030 (Skills England). For anyone building AI capability, the digital and engineering end of that list is where the competition concentrates.

That picture holds across the latest reporting too. Digital, engineering and construction occupations appear most commonly among priority occupations, many already experiencing high recruitment demand and expected to keep growing strongly GOV.UK - Skills England annual skills report 2026. In expected value terms, these are the roles where both the upside and the cost of a slow or wrong hire are highest, so they deserve the most careful planning.

How do you hire well for AI transformation?

Start by treating each open role as a range of outcomes, not a fixed job spec. Ask what the role becomes if the optimistic scenario plays out and what it becomes under heavier automation, then hire for the skills that hold value across both. With net change spanning 696,000 to 1,072,000 AI-related jobs, adaptability is worth more than a narrow match AI Skills for Life and Work: Labour market and skills projections - GOV.UK.

Speed matters in this market. When priority occupations are already in high demand, a slow process means the strongest people are gone before you reach them GOV.UK - Skills England annual skills report 2026. Expected value thinking rewards acting early on the roles with the widest range of outcomes.

Where does the right recruitment partner fit into your workforce plan?

When you have mapped the roles that carry the most value across every scenario, you still need to find the right people quickly. We search a database of 15 million candidates and manage recruitment end to end, so you can move on priority roles before the market does. Our recruitment agent manages recruitment end to end for 8% on a successful hire, with no monthly fee and no upfront cost. Tell Reed.ai the role you are planning for, and we will start building your shortlist.

Sources

Jordan Van Tonder
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