AI as a location factor: How the Mittelstand can further competitiveness
summary
German SMEs report 81% of companies naming AI as crucial but only ~50% adoption; realistic wins focus on automating back-office work and building agents rather than chasing shiny pilots. Concrete outcomes include reducing a tender decision from one week to minutes, up to 30% facility management efficiency gains, employee-built agents (e.g. automated vacation emails) and keeping multiple ERPs while using decentralized data via the Model-Context/NCP approach. Fast validation often needs a 50–200 curated examples golden dataset; priority is clean data, APIs/RPA and data-plumber skills.
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chapters (15)
- 0:00AI as location factor intro
- 1:57AI adoption status
- 4:47Realistic AI ambitions
- 6:56AI at SCHUNK: products to processes
- 11:05Strategy vs starting small
- 13:55Green AI Hub efficiency
- 17:06Make or buy AI decisions
- 18:54Legacy systems integration
- 21:21Organizational AI challenges
- 26:18Skills, governance, literacy
- 28:48Government support models
- 30:36Trust, data sharing, policy
- 31:17Peer-driven AI adoption
- 32:41Beyond pilot deployment
- 34:05Call to action
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