Overview
- Early November the government unveiled an 18‑point package that targets doubling national compute and expanding AI capacity up to fourfold by 2030, but most measures have no binding timelines.
- Total public AI spending across ministries is reported at roughly €800.5 million, a sum experts say is small compared with U.S. tech investment and unlikely to fund training of the largest 'frontier' models.
- Practical moves toward U.S. vendors continue, with reports that Germany's intelligence services and some public bodies plan to use Google Cloud and other non‑European providers for infrastructure.
- New studies published Nov. 8–9 show early social effects: an Ifo analysis finds a 14% drop in full‑time employment for 20–24 year‑olds in the most AI‑exposed jobs since 2022 and a Hebrew University paper shows supervisors judge employees who use generative AI as far less trustworthy.
- Analysts urge a focused strategy that prioritizes industrial, robotics and specialized models, stronger political leadership and targeted funding to protect training paths for young workers and reduce dependence on foreign hyperscalers.