UK leads developed-world AI job losses at 6% net cut, Morgan Stanley says

TL;DR:

• Morgan Stanley’s latest AlphaWise survey of firms in banking, software, semiconductors, hardware and professional services puts UK net job losses at 6% over 12 months, the worst result among major economies and above the 5% all-country average. Germany recorded a 1% net gain.
• The same survey shows UK firms also leading on productivity gains at 10.3% versus 9.6% all-country — confirming the trade-off rather than refuting it.
• This is the second wave; the first wave was even worse for the UK at 8% net job loss against a 4% all-country average, so the pattern is durable, not a one-off.

Across all surveyed sectors, 12% of roles were eliminated outright and 15% were not backfilled, offset by 22% new hires — a 5% net cut globally that disproportionately hit early-career roles. Morgan Stanley’s European strategists describe the UK profile as “faster AI diffusion and a stronger corporate focus on productivity optimisation, particularly in sectors such as software and banking”.

What the macro data confirms

The survey result is consistent with current UK labour data. The ONS reported in April that payrolled employee numbers had fallen by 74,000 over the year, while vacancies dropped to 711,000 — the lowest since 2021 and below pre-pandemic levels. The unemployment rate sits at 4.9% and the employment rate at 75.0% for the December 2025 to February 2026 quarter, but the trajectory underneath those headline figures is softening fast.

Bank of England implications

This is now a meaningful disinflationary input the Monetary Policy Committee must weigh. Weaker hiring, slower wage growth and lower labour demand from AI adoption pulls in the same direction as the energy and supply-side shocks the MPC has been monitoring. The PRA’s own warning from Sam Woods last week about “significant disruption” from frontier models sits alongside this data: cyber-driven IT pressure, labour-side displacement, and productivity gains are all parts of the same transition the regulator is trying to plan for. The political risk Morgan Stanley flags — gains accruing faster than the labour market can absorb displaced workers — lands at exactly the wrong moment for a chancellor managing fiscal headroom.

Where the cuts are concentrated

The survey is explicit that early-career roles bear the brunt: workers with less than 10 years’ experience are the most exposed, while firms say candidates with 2–10 years’ experience remain the most attractive new hires. Graduate hiring is reported at around 40% — relatively resilient — but firms are increasingly favouring mid-level staff who can supervise AI systems over expanding traditional junior pipelines. For UK universities, this is the structural shift that will reshape graduate recruitment metrics over the next two years.

Looking forward

Expect the Bank of England’s next Monetary Policy Report to address AI-related labour-market dynamics more explicitly than previous ones have done. The data is no longer anecdotal. UK SMEs and large employers planning headcount budgets for 2026–27 should assume the labour optimisation premium that European equity markets have started rewarding will continue to influence boardroom incentives, regardless of how the political conversation around it lands.