< Speaker / Facilitator >
Christian Geißler
Delivery Hero, Ebay, Bosch, Mobile.de, McMakler

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Over 15 years of experience in Product and Tech Leadership with demonstrated industry know-how in Automotive E-Commerce and Mobility Sharing, Finance/Insurance/PropTech as well as Quick-Commerce and Logistics. Experienced in People Management with a focus on self-organization and employee empowerment. Pioneer in transforming teams into AI-enabled and business-embedded organisations.
< About >
Everyone right now has FOMO about the wrapper wave: Lovable, Gamma, Bolt, and the rest. Some of those moats are real, but platform owners tend to win the platform war. Google squeezed the SEO consultants, Amazon ate the retailers, Apple took the margin from app developers. The wrapper layer, however fast it moves today, will get squeezed from above by whoever owns the foundation models and the infrastructure.
Christian's contrarian bet is to go the opposite direction: get so deep into a domain that AI doesn't replace you, it needs you. Real estate transactions, dark stores, physical inventory, last-mile logistics, fleet management. The places where operations are messy by nature, and where regulation, human behaviour, and physical reality make 'just automate it' genuinely naive.
Christian has lived this more than almost anyone: dark stores and rider operations at Delivery Hero, the full analog complexity of a real estate transaction at McMakler and MYNE Homes, dealer networks at Mobile.de. Over lunch he facilitates a peer conversation with senior product leaders on one honest question: is chasing the shiny AI thing the right call, or is the smarter move to go deep on the boring, hard stuff? Along the way he opens up the distinction the hype keeps blurring: where deterministic automation ends, and where true intelligence, human judgment, and physical complexity begin.
< Key learnings >
Domain depth as the new moat: why deep expertise, not another wrapper, is what stays defensible in an AI-first market.
Automation vs intelligence: how to tell where deterministic automation ends and genuine intelligence begins, and why conflating the two is costly.
The advantage of messy: where the physical, operational, and regulated corners of a business become something AI cannot easily copy.
When to chase, when to go deep: a clear-eyed way to decide between the shiny AI bet and the hard, unglamorous work.
< Tickets >
