The AI Summit at SuperReturnThursday, 5 June 2025 - Europe/Berlin ( UTC+01:00)

• Discover where AI is actually driving better returns and where it's overhyped
• Challenges and limitations in using AI to find alpha
• What investment teams need to do to gain a real competitive edge with AI

• Reassessing investment theses in the AI era
• Should investors focus on AI-native startups, or is the real value in AI enablers?
• Building conviction in a fast-changing world
• When and how to pivot a company to an AI-led model

• How AI can be used to uncover high-growth start-ups before they hit mainstream investors' radars
• Why AI outperforms traditional methods in predicting start-up success
• Real world impact and lessons learned

Across four dynamic 10-minute sessions, we’ll explore the latest advancements in AI for investment analysis, risk assessment, and predictive modelling.

• Where is AI delivering measurable improvements in due diligence?
• Real-world AI use cases & lessons learned
• The limitations of AI

• Where AI is actually delivering value in private market investing?
• What verticals are AI investors investing in?
• What LPs expect from GPs leveraging AI?
• Will AI separate top-performing funds from the rest, or is it just an efficiency tool?
• What's next? How should GPs & LPs position themselves in an AI-driven future?

• Where AI adds the most value at each stage
• Key steps for integrating AI without disrupting traditional decision-making
• Common roadblocks and how leading firms overcome them
• How to measure success

• Which AI tools are delivering real impact in portfolio management today?
• What AI innovations are still experimental, and where is tangible value being created?
• Insights from a firm that has successfully integrated AI into portfolio strategies

A showcase of cutting-edge AI start-ups revolutionising finance, healthcare and operational efficiency. Investors will gain insights into emerging AI innovations and where to place their bets.

• How AI-driven models assess start-up success, private company growth, and investment potential—and their limitations.
• What factors influence AI-driven success predictions, and where does human judgment still play a role?
• Case studies on AI-powered value creation—where AI-driven insights have led to success

• Navigate new compliance, transparency and governance challenges.
• How will AI regulations impact investment decisions, especially in sectors with stricter data laws?
• What LPs need from GPs to ensure responsible AI adoption in their funds?

• Key takeaways from the day - What stood out, and what it means for investors.
• As AI matures, how should investors position themselves for success?
• Actionable insights and predictions to help investors prepare for the AI-powered future.