The CFOs who got burned on AI are now the hardest to hire for
Finance leaders who approved big AI budgets in previous years and saw little return are asking sharper questions in interviews. They walk away faster when the answers feel thin, and companies that cannot articulate specific use cases are losing candidates they need.
Reckitt’s AI team sits inside shared services, and that changes who gets hired
A consumer goods company embedding AI capability into its shared services function tells us something about where AI talent will actually land in large organisations. The roles look different from what most candidates expect.
When the people building AI start asking everyone to slow down, hiring managers should pay attention
The loudest calls for caution are coming from inside the labs. We think that signals something specific for how companies in the DACH region should be structuring their AI teams right now.
SAP just made machine learning accessible to teams that never had a data scientist
TabPFN-3.5 Plus arriving in SAP AI Core removes the biggest barrier to predictive analytics for mid-market companies: the need to build and train custom models. We think this changes who gets hired for analytics roles in SAP environments.
Daikin’s ERP overhaul puts a question to every manufacturer running disconnected systems
We hear a lot about ‘autonomous enterprise’ as a concept. Daikin’s move from fragmented legacy systems to a unified S/4HANA backbone is one of the clearer examples of what that actually demands from the people side.