AI agents: when the fear of mass unemployment first serves the interests of those who propagate it

In the third installment of his series on AI, economist Marty Hart-Landsberg argues that layoffs attributed to agents are often part of a narrative aimed at investors.

Published on August 13, 2026 on his blog Reports from the Economic Front, the third part of Marty Hart-Landsberg's series attacks IA agents. The author begins by describing them without emphasis: software systems capable of dialogue with other software and external bases, of decomposing a complex set of tasks into ordered tasks and of chaining decisions without human revival — but only based on large language models.

A market that has become very crowded

It traces the 2026 shift: after Claude Code and Codex on the programming agents side, publishers started selling agents preconfigured by sector — legal, financial services, e-commerce, customer relationship, recruitment. Banks like Citi buy simultaneously from Anthropic, Google, Microsoft and OpenAI, these agents having different strengths and can combine. There is no shortage of promotional figures: Gartner projects that 15% of daily work decisions will be made independently by 2028, McKinsey argues that agents could already cover 44% of US work processes, and Microsoft AI boss Mustafa Suleyman announced in early 2026 the complete automation of most office jobs within two years.

The counter-argument

Criticism is about these stories. Hart-Landsberg relies on press and market analyses showing that a significant proportion of the redundancies presented as AI-related productivity gains mainly coincides with trade difficulties, past over-recruitment or loss of market share. Invoking AI then offers a strategic dressing to ordinary cups, in a context where Wall Street rewards this speech. The political thesis of the experiment stems from this observation: maintaining the fear of an apocalypse of employment feeds the income of the sector while undermining the confidence of employees in collective action.