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

Three announcements on the same day, a shared reason - AI is no longer an additional expense item, it becomes a replacement item.

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.