Uber -10%, Monday.com -20%, Amazon cuts in its AI: the wave of layoffs "to fund AI" is in full swing

In plain terms

On July 23, 2026, three very different companies announced pay cuts on the same day, with the same justification: to fund, accelerate, or refound around AI. Uber cuts approximately 10% in its customer operations. Monday.com announces 20% of its workforce will be reduced to fund its AI push. Amazon announces cuts in its AI division itself.

Context

The ai-labor-impact thread has so far followed the exposure (ILO ASEAN report, exposure studies). Exposure becomes observable displacement. Three companies, three different logics - customer service, SaaS, AI division of a hyperscaler - converge on the same basis: the cuts are explicitly presented as an AI trade-off.

The data

• Uber: ~10% of positions in customer service operations.
• Monday.com: ~20% of the workforce, with an explicit narrative "fund the AI push".
• Amazon: cuts in the AI division - a rarer and more revealing case (see below).

Analysis

Two distinct dynamics intersect. Substitution (Uber, high-volume repetitive sectors): AI replaces an identifiable task, the calculation is direct ROI. Reallocation (Monday.com): the company cuts to fund an AI product pivot - the logic is capex-to-opex-to-product. Internal consolidation (Amazon): cutting within its own AI division signals that even AI-native organizations are entering a phase of budget discipline.

This third case is the most significant. It reminds us that the 2024-2025 AI hiring wave was partly exuberant, and that 2026 is the year of rationalization within the field itself.

Scenarios

• Base: The pace of announcements accelerates in Q3 2026, with a mix of substitution/reallocation.
• High: A Fortune 100 company announces a cut >15% explicitly linked to AI - a media moment.
• Low: Macro slowdown that makes it impossible to distinguish "AI" cuts from cyclical cuts.

Risks

Disputes (see algorithmic-management thread) if selection criteria are algorithmic; impact on public continuing education; political response in the most exposed jurisdictions.

Under the hood

Three technical observations. (1) The jobs first affected (level 1 support, repetitive ops) are those where LLM + RAG covers most of the repetitive volume. (2) A "20% cut to fund AI" is often a managerial cut preceded by a two-to-three quarter hiring freeze. (3) Intra-AI cuts (Amazon) reflect a consolidation of roles - fewer researchers, more platform engineers.

So what

For leaders: build your HR narrative before product comms does it for you. For exposed employees: the next six quarters will be the media peak of this wave - it's also the period where public and political attention is maximal, hence support for retraining.