๐ช๐ต๐ฎ๐ ๐บ๐ฎ๐ธ๐ฒ๐ ๐ฎ๐ป ๐๐ ๐๐๐ฎ๐ฟ๐๐๐ฝ ๐ณ๐๐ป๐ฑ๐ฎ๐ฏ๐น๐ฒ & ๐ฑ๐ฒ๐ณ๐ฒ๐ป๐๐ถ๐ฏ๐น๐ฒ ๐ถ๐ป ๐๐ต๐ฒ ๐ฒ๐ฟ๐ฎ ๐ผ๐ณ ๐ณ๐ผ๐๐ป๐ฑ๐ฎ๐๐ถ๐ผ๐ป ๐บ๐ผ๐ฑ๐ฒ๐น ๐ฐ๐ผ๐บ๐บ๐ผ๐ฑ๐ถ๐๐ถ๐๐ฎ๐๐ถ๐ผ๐ป?
Thatโs what we explored last week in our panel discussion. Here are three key takeaways that stuck with me: ๐ก ๐๐ฒ๐๐ถ๐ด๐ป ๐ณ๐ผ๐ฟ...

Thatโs what we explored last week in our panel discussion.
Here are three key takeaways that stuck with me:
๐ก ๐๐ฒ๐๐ถ๐ด๐ป ๐ณ๐ผ๐ฟ ๐ฟ๐ฒ๐ฎ๐น ๐๐๐ฒ๐ฟ ๐ฝ๐ฎ๐ถ๐ป, ๐ป๐ผ๐ ๐๐ ๐ฎ๐ฏ๐๐๐ฟ๐ฎ๐ฐ๐๐ถ๐ผ๐ป
The strongest differentiation starts with radically customer-centric product development. Deep user understanding beats shallow model integration โ every time.
๐ ๐ง๐ต๐ถ๐ป๐ธ ๐ฏ๐ฒ๐๐ผ๐ป๐ฑ ๐๐ต๐ฒ ๐๐ผ๐ผ๐น โ ๐ฟ๐ฒ๐๐ต๐ถ๐ป๐ธ ๐๐ต๐ฒ ๐๐๐๐๐ฒ๐บ
Great startups donโt just optimize workflows, they reinvent them. The most exciting ideas in this space arenโt features. Theyโre bold reimaginings of how thingsย shouldย work.
๐ง ๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐ ๐๐ถ๐น๐น ๐ฐ๐ต๐ฎ๐ป๐ด๐ฒ ๐๐ต๐ฒ ๐ด๐ฎ๐บ๐ฒ
Weโre just scratching the surface here โ but the optimization potential is massive. (Example: Studies suggest AI agents could automate up to 60โ70% of tasks in customer service)
โ And one open question we left the room with:
๐ช๐ถ๐น๐น ๐๐ ๐ฎ๐ด๐ฒ๐ป๐๐ ๐ณ๐ผ๐น๐น๐ผ๐ ๐๐ต๐ฒ ๐ต๐ถ๐๐๐ผ๐ฟ๐ถ๐ฐ๐ฎ๐น ๐ฝ๐ฎ๐๐๐ฒ๐ฟ๐ป ๐ผ๐ณ ๐ฝ๐ฟ๐ถ๐ฐ๐ถ๐ป๐ด โ ๐ผ๐ฟ ๐ฏ๐ฟ๐ฒ๐ฎ๐ธ ๐ถ๐?
Breakthroughs have always driven costs down. Technologies may start out priced like human labor, but that rarely lasts. We didnโt keep pricing looms based on weaver salaries. Will AI agents be any different?ย
Thanks again to our brilliant panelists, toย Milano Viceย for powering the evening with outstanding pizza and to my colleaguesย Mia Bockย Tim Hendrik Kunstmannย Tim Beddiesย for the support.ย
Panelists:ย Dr. Mario Elstnerย Marius Meinersย Stefan Albersย Tim Winterย Andreas Fischer

