This week, the Startup-Verband published its report with the catchy but far from exaggerated title: 𝘚𝘵𝘢𝘳𝘵𝘶𝘱𝘴 & 𝘎𝘦𝘯𝘦𝘳𝘢𝘵𝘪𝘷𝘦 𝘈𝘐. 𝘈 𝘕𝘦𝘸 𝘌𝘳𝘢 𝘉𝘦𝘨𝘪𝘯𝘴. Almost half of all start-ups surveyed (47%) believe that Generative AI challenges many existing business models.
In yesterday's panel discussion, 𝘓𝘦𝘷𝘦𝘳𝘢𝘨𝘪𝘯𝘨 𝘥𝘪𝘨𝘪𝘵𝘢𝘭 𝘵𝘦𝘤𝘩𝘯𝘰𝘭𝘰𝘨𝘪𝘦𝘴 𝘵𝘰 𝘥𝘳𝘪𝘷𝘦 𝘴𝘶𝘴𝘵𝘢𝘪𝘯𝘢𝘣𝘭𝘦 𝘵𝘳𝘢𝘯𝘴𝘧𝘰𝘳𝘮𝘢𝘵𝘪𝘰𝘯, organized by Lena Scholtke and Elizabeth Ascherl from ICN Business School, we were interested how this challenge can be for the better and asked: How can we facilitate the #sustainabletransformation of #businessmodels with #AI?
Together with Liz, I had the joy of moderating the panel with the amazing guests of Dominik, co-founder #algonout as well as Toby, founding team member and business development lead Briink in Berlin, and Christine Goulay, founder of Sustainabelle Advisory Services and Sarah (ICN) in Paris.
I learned the following (list not exclusive 😉):
❇ Before the breakthrough use case comes the hard work: this means defining goals, collecting data, creating appropriate infrastructure, and then using AI to gain efficiencies for more sustainability.
❇ Using (gen) AI to create structured CSR reports is not only interesting for large companies with extensive internal documentation but also for SMEs, e.g., building on their supply chain documentation and to deal with current developments in regulation #CSDDD
❇ Once again, AI as technological development requires #HEI to nourish lifelong learning as competence. This is not only against the background of updating technical knowledge but also making sensible decisions about which resource-intensive model I really need to use for my use case—if necessary, I can also adjust a model for my needs, or I don't need AI at all to save resources.
PS: You'll find the Startup-Verband report here: https://lnkd.in/eM_AEEUc).
[Update: Link to the reports' version in EN]
