28MAR

EU and China diverge on AI rules

1 min read

19:20UTC

Europe negotiates whether workers deserve to understand the AI deployed against them. China subsidises 12.7 million graduates.

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PoliticsAssessed

Key takeaway

Europe and China are taking opposite approaches to AI workforce transition; the US does neither.

The EU Digital Omnibus faces its second trilogue on 28 April . The employer AI literacy obligation, stripped by Parliament on 26 March, remains contested. The final text determines whether EU workers have a guaranteed right to understand AI deployed against them.

China's Ministry of Human Resources and Social Security is preparing a dedicated AI employment policy: job-retention rebates, social security subsidies, and five targeted training programmes for 12.7 million graduates entering the labour market ¹. China faces a shortage of more than 5 million AI professionals, a supply-demand ratio of 1 to 10.

Europe debates disclosure rights. China deploys the state as a workforce intermediary. The United States does neither.

Deep Analysis

In plain English

Two very different government responses to AI job disruption are emerging at the same time. In Brussels, the EU is in final negotiations over whether employers should be required to explain to workers how AI tools deployed in the workplace work. That requirement was removed by the European Parliament and is now contested. The second round of talks is due on 28 April. In Beijing, the Chinese government is preparing a policy package for 12.7 million graduates entering the job market this year. The plan includes job-retention subsidies, retraining programmes for AI roles, and startup loans. China faces a shortage of more than 5 million AI-skilled workers, while simultaneously worrying about AI displacing its enormous workforce. It is deploying the state directly as a buffer. The United States is doing neither.

What could happen next?

Whether the EU retains the employer AI literacy obligation in the Digital Omnibus final text will determine the baseline protection available to the 450 million workers in the EU single market, setting a precedent other regulatory jurisdictions will reference.

Sources:Lewis Silkin

Mentions:United States →European Parliament →Parliament →China →Digital Omnibus →negotiations →

First Reported In

Update #4 · AI leads US layoffs as cuts go uncounted

Lewis Silkin· 4 Apr 2026

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Causes and effects

Caused by

EU votes to delay AI work rules to 2027

European Parliament 26 March vote delaying AI Act employment rules 16 months sets the context for the contested trilogue now scheduled 28 April.

Occurred 26 Mar 2026

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This Event

EU and China diverge on AI rules

The EU-China policy divergence will define whether AI workforce transition is managed by regulation, state subsidy, or neither.

Different Perspectives

Oxford Economics

Concluded AI's role in recent layoffs is 'overstated,' finding companies are not replacing workers with AI at scale. Identified slowing growth, weak demand, and cost pressure as the actual drivers.

Ambrish Shah, Systematix Group

Warned AI coding tools will erode Indian IT firms' labour-arbitrage growth model by reducing enterprise dependency on large vendor teams.

South Korean government

Enacted the world's second comprehensive AI law, choosing an innovation-first framework over prescriptive employment protections — a deliberate contrast to the EU's regulatory approach.

Corporate executives executing AI-driven cuts

Frame workforce reductions as existential necessity. Crypto.com CEO Kris Marszalek and Block CEO Jack Dorsey both described AI adoption as a survival imperative, with equity markets reinforcing the message through immediate share-price gains.

Chinese government (Wang Xiaoping)

Positions AI as a job-creation engine to absorb 12.7 million annual graduates and offset 300 million retirements, directly contradicting domestic economist Cai Fang's warning that AI job destruction precedes creation.

Klarna and companies reversing AI cuts

Klarna's public reversal — rehiring the human agents it replaced with AI after customer satisfaction collapsed — validates Gartner's prediction that half of AI-driven service cuts will be undone by 2027.