Cost control is the leading factor reducing graduate hiring among major UK companies, according to Deloitte’s latest CFO Survey, raising questions over early career pipelines as employers accelerate digital and AI investment.
The Deloitte Q2 2026 survey, conducted between 1 and 13 July, gathered views from 58 chief financial officers, including CFOs at 10 FTSE 100 companies and 21 FTSE 250 companies. The rest represented other UK-listed companies, large private businesses, and UK subsidiaries of major overseas-listed groups.
When asked about key factors affecting graduate hiring, CFOs identified a wider business impetus for cost control as the top reason reducing graduate recruitment in the past 12 months, with a net balance of 62%. It was also the leading factor expected to reduce graduate hiring over the next year, at a net balance of 64%.
AI and outsourcing were cited as the second and third biggest dampeners of demand for new graduates over the next 12 months, at net balances of 47% and 33% respectively.
The graduate hiring findings sit alongside a more optimistic view of technology investment. Deloitte said 73% of CFOs reported an improvement in optimism over AI’s effect on business performance during the previous 12 months, compared with 59% in Q4 2025 and 39% in Q3 2024. Ninety-six percent expected UK businesses to increase investment in digital technology and assets over the next five years.
The survey also found that 78% of CFOs expected greater productivity and improved business performance over five years. Half expected productivity gains over the next 12 months, suggesting that AI has become part of operational planning inside major companies.
Debapratim De, chief economist at Deloitte UK, said: “However, concerns over geopolitics and domestic competitiveness remain elevated. CFOs continue to prioritise cost reduction and cash control in this environment.”
The data highlights a structural tension. Companies are becoming more optimistic about AI’s ability to raise productivity, while reducing the intake of junior talent that has traditionally supported future management, technical, advisory, and operational capability. In the short term, lower graduate hiring can help protect margins. Over time, it can narrow succession pools and make it harder to build the experienced workforce needed to supervise, govern, and improve automated systems.
The youth skills agenda is already shifting towards AI judgement, with entry level roles changing as routine tasks are automated. The Deloitte survey adds a finance-led dimension: graduate demand is being shaped not only by technology capability, but also by cost pressure and cash discipline.
The risk is that graduate recruitment is treated as a flexible cost rather than a strategic supply chain. Early career roles have historically allowed employees to learn systems, customers, compliance standards, commercial language, and organisational culture through lower-risk work. If those tasks are automated or outsourced, employers need deliberate alternatives, including rotations, supervised project work, customer exposure, mentoring, and structured technical development.
Professional services, finance, technology, manufacturing, engineering, and large corporate functions are all affected. AI can reduce the need for junior employees to perform repetitive drafting, research, reconciliation, data preparation, and administrative work. Senior judgement, however, is built partly through exposure to that work. Removing the first rung without redesigning the ladder risks creating capability gaps later.
The survey also reflects the wider economic context. CFOs reported easing perceptions of external uncertainty, with 47% rating the level of external financial and economic uncertainty as high or very high, below the post-pandemic average. Risk appetite and confidence have improved, but cost reduction and cash control remain priorities.
That combination can produce selective investment. Companies may spend more on technology while slowing headcount growth, especially where automation promises productivity gains. The commercial logic is clear, but the workforce consequences require attention. Graduate hiring cannot be assessed only through this year’s cost base if the same companies need future managers, engineers, analysts, auditors, consultants, sales leaders, and operational specialists.
The next stage of AI adoption will test whether employers can protect development pathways while redesigning work. Productivity gains may come from automation, but resilient organisations still need people capable of understanding customers, challenging model outputs, managing risk, and leading teams through change.
