The Gap That No LLM Can Close
SAP, Monday, October 19th, 2026
SAP argues language models alone cannot close the AI productivity gap, and industry needs AI built for tabular business data.
SAP notes that while 80% of AI users report higher personal productivity, only 6% of companies say AI significantly increased operating profit, citing McKinsey.
For Germany and Europe, whose economic strength lies in manufacturing, automotive supply chains and logistics, it calls this a key challenge, citing estimates that AI could add about 440 billion euros of gross value in Germany by 2034.
SAP argues that generating language is not enough and that AI must handle the structured, tabular data companies work with most.