Employers are redirecting pay into artificial intelligence budgets, a shift that is beginning to reshape compensation packages across sectors and risks long-term damage to recruitment and retention. A survey by ResumeBuilder found that a majority of firms , 54% , have cut or plan to cut employee compensation to free funds for AI projects in 2026, with reductions touching bonuses, equity awards, base pay, raises and benefits. According to the report, many organisations view immediate AI investment as essential to keep pace with competitors.

Widespread impact on total rewards

The composition of those cuts is broad rather than narrowly targeted. ResumeBuilder’s findings show that cuts to variable pay are most common, with more than six in ten firms trimming bonuses and similar shares reducing equity awards; a comparable proportion said they were pulling back on planned raises, and over half reported cuts to benefits. Only a minority cited direct base-salary reductions, but the cumulative effect, HR specialists warn, is an across-the-board squeeze on total reward.

Corporate examples highlight trade-offs

Company-level examples illustrate the trend. Meta has trimmed annual equity grants for many employees for a second consecutive year, reducing awards by around 5% in 2026 after a larger cut in 2025, while simultaneously committing very large capital programmes to AI infrastructure. The social media group’s spending plans, reported by industry outlets, underline the trade-offs being made between employee pay and hardware, data-centre build-outs and specialised AI hiring.

Labour market conditions enable cuts

The broader labour-market context helps explain why employers are pursuing this strategy now. After a prolonged period of stronger worker leverage, tech-sector hiring cooled sharply at the start of 2026 as firms carried out nearly 25,000 job cuts in January alone, and some large corporations announced further workforce reductions or tightly constrained salary increases while pursuing AI-driven cost savings. Executives cited the need to reallocate capital to cloud, data-centre and AI initiatives; critics argue the net effect will be weakened employer brands.

Short-term strategy, long-term risks

ResumeBuilder’s analysts contend that many leaders consider the weak jobs market a buffer permitting pay savings without immediate talent flight , a calculation echoed in the survey, where a large majority of respondents said current labour-market conditions make it easier to reduce compensation. HR commentators caution this may be a short-term view: when market conditions tighten again, companies that have eroded pay or deferred performance-linked rewards may struggle to attract and keep high performers.

Flattened pay structures and morale concerns

Some organisations are attempting to manage optics and internal fairness by applying uniform or modest raises rather than merit-differentiated increases , approaches labelled "peanut-butter" raises in the survey , yet analysts say flattening pay progression undermines incentives for top contributors and can accelerate voluntary exits among skilled staff. ResumeBuilder’s chief career adviser described the combination of bonus, equity and raise cuts as more consequential than isolated layoffs alone.

Sector differences in approach

The strategic calculus companies follow differs by scale and sector. Larger tech firms appear willing to accept a narrower pool of direct compensation for broad strategic bets on AI platforms, whereas healthcare and insurance firms have signalled more measured salary freezes and targeted headcount reductions tied to efficiency programmes. Industry observers note that redirecting reward budgets into capital expenditure and AI talent may boost short-term competitiveness but could increase costs of rehiring or slow product development if experienced staff depart.

Balancing AI gains with talent strategy

The risks for employers are therefore twofold: immediate savings channelled into AI may yield technology advantages, yet the erosion of pay and long-established reward mechanisms can damage employer reputations and make rebuilding teams more expensive later. As companies balance machine-led productivity gains against human-capital costs, the outcome will hinge on whether organisations can marry AI investments with credible, long-term talent strategies rather than treating pay reductions as a temporary expedient.

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