As EU Regulation Looms, German Air Traffic Control Tests AI to Ease Staff Shortages
Published on 07/01/2026 at 09:41 | Editorial boerse-global.de
Hamburg’s air traffic controllers put an artificial-intelligence assistant through its paces on 25 June 2026 in a live trial aimed at boosting sector capacity by up to 25 percent. The system, designed to help manage crowded airspace as Europe grapples with a shortage of qualified controllers, is not expected to enter regular service for another ten to fifteen years.
The test comes as European Union lawmakers set firm deadlines for governing high-risk AI. On 29 June 2026, the Council of the EU approved the Digital-Omnibus Regulation, which phases in restrictions: non-consensual sexual AI content must be banned by December 2026, high-risk AI systems must comply by December 2027, and AI embedded in products has until August 2028. Small and medium-sized enterprises receive lighter data-protection obligations under the new rules.
Germany, according to a fresh analysis by OpenAI’s Economic Research team, is more exposed to AI-driven workplace change than any other European country. The task-based study argues that AI primarily reshapes individual activities rather than entire occupations, and whether jobs disappear or merely shift depends on demand for human labour.
Concrete numbers come from PwC’s AI Jobs Barometer 2026. In 2025, roughly 1.3 percent of German job advertisements — about 125,000 postings — were AI-related. The report characterises Germany as an “application market”: for every developer role, eight user roles are advertised. Across many industries, skills in AI command wage premiums above 20 percent, though the financial sector recorded a nine percent drop compared with earlier benchmarks.
Meanwhile, Microsoft is rolling out a “Workplace Check-in via Wi-Fi” feature in Teams. The automatic location recognition relies on a company’s internal wireless network, is switched off by default, and must be activated by administrators. In Germany, introducing the tool requires works council approval under Section 87 of the Works Constitution Act, and employees can opt out individually.
A separate study by GitLab found that 92 percent of surveyed professionals reported governance problems when using AI-coded software, and 85 percent identified bottlenecks in reviewing and validating AI-generated outputs.
On the research front, a new project at the University of Duisburg-Essen’s Institute for Work and Qualification (IAQ) began on 1 July 2026. Funded by the Federal Ministry of Labour and Social Affairs until June 2029, it examines the impact and regulation of novel technologies, with a focus on AI in long-term care and on digital and green technologies in manufacturing.
Germany’s Federal Employment Agency already uses 23 different AI tools internally. Agency representatives stress that IT jobs remain secure even as entry-level tasks may be eliminated and new fields emerge. A survey by the ifo Institute indicates that nearly 20 percent of companies consider it feasible to replace academic specialists with AI.
Insurers such as Ergo have set up academies to retrain staff. And since November 2025, the “Soofi” project has been developing a European language model for industrial applications, aiming to strengthen digital sovereignty.
