Weight Loss Demands and AI Layoffs: The Expanding Front Lines of Workplace Discrimination Law
Published on 07/17/2026 at 09:33 | Redaktion boerse-global.de
A 26-year-old computer scientist in Taranto, Italy, received a short message in June 2026 suggesting he lose weight to keep his job. When he refused to follow the diet, his employer fired him. The man has now sued for reinstatement, arguing his physical condition had no bearing on his professional performance. The case from southern Italy underscores how workplace discrimination disputes are no longer limited to automated systems—they increasingly involve personal bias claims alongside algorithm-driven decisions.
Just weeks earlier, the state parliament of North Rhine-Westphalia passed a new antidiscrimination law on 16 July. The legislation, backed by the CDU, Greens and SPD but opposed by the FDP and the AfD, prohibits discrimination based on origin, religion or disability in state authorities. A central ombudsperson office will now field complaints. The most contested element is the burden-of-proof rule: complainants must present facts that make discrimination "predominantly probable," after which the authority must refute the allegation. Municipalities, courts and police during criminal investigations are exempt, but general public-safety policing falls under the new requirements.
Germany's labour courts have also clarified how employers can counter discrimination claims. On 9 February 2026, the Düsseldorf Regional Labour Court (case reference 4 SLa 145/25) ruled that an objective selection process can overturn a presumption of bias. A severely disabled applicant who met formal qualifications but was not invited for an interview lost the case. The employer had documented the candidate selection consistently and completely based on university exam grades. The judges stated that grades are an acceptable objective criterion, and added that the General Data Protection Regulation does not grant an automatic right to inspect internal selection documents.
Just as data-protection and discrimination rules create legal pitfalls that many employers do not see coming, health and safety compliance is another area where hidden gaps can lead to enforcement action. What many UK employers don't know about the Health & Safety at Work Act 1974 could cost them dearly. A free expert toolkit reveals the most common compliance gaps – and how to close them – with ready-to-use risk assessments and checklists. Download the free Health & Safety at Work Act Toolkit
Across the Atlantic, 26 former Meta employees have filed a lawsuit accusing the company of using AI-powered tools to choose staff for mass layoffs. Systems such as "Metamate" and keyboard-activity monitoring allegedly disadvantaged people with disabilities, penalising illness-related absences or caregiving leave. Meta denies the claims, insisting that human managers ultimately decided who was let go. The case comes as the European Union tightens its own rules: from December 2027, AI used in human resources will be classified as high-risk, requiring strict transparency and due diligence. Violations can draw fines of up to €15 million or 3% of global annual turnover.
In Berlin, meanwhile, the planned reform of Germany's federal Disability Equality Act remains stalled. A hearing in June 2026 revealed deep disagreement over the removal of a proposed lighter burden of proof for private-sector providers. Disability organisations such as the DBSV and the VdK, together with the federal commissioner for people with disabilities, Jürgen Dusel, have sharply criticised the deletion. Business lobbies including the BDA and the HDE had warned that the original rule would impose excessive costs on companies. No date has been set for a final vote in the Bundestag. Without the eased evidence standard, complainants must still provide full proof of discrimination—a hurdle that many in practice fail to clear.
The Italian case, the new state law in NRW, the Düsseldorf ruling, the Meta lawsuit and the stalled federal reform all point to a patchwork of evolving standards for evidence and liability. Whether discrimination is carried out by a human manager, a written algorithm or a text-message ultimatum, the legal tests for proving it are being tested and reshaped from Taranto to Düsseldorf to Silicon Valley.
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