Jun 1, 2026 News & Insights Event Project Liberty Institute
At the 2026 edition of the Katapult Future Fest in Amsterdam, Project Liberty Institute, together with its strategic partners Reframe Venture and ImpactVC, convened institutional investors, family offices, venture capital firms, philanthropies, founders, and impact leaders to explore how investors can help shape an AI future that strengthens human agency while unlocking long-term value creation.
As AI increasingly becomes foundational infrastructure for the global economy, investors are grappling with both systemic risks and emerging opportunities across the AI stack. Building on the pioneering work of Project Liberty Institute and its partners to catalyze investment in pro-human AI, the session examined what a desirable, human-centered AI ecosystem could look like, where investors should exercise caution, and where new opportunities are emerging across digital infrastructure, assurance technologies, interoperable models, and next-generation business models built around trust, resilience, and human flourishing.
Panelists discuss the shift from AI for good to good AI, emphasizing investment in an open, trustworthy, and human-centered AI stack. The session featured (R-L) Paul Fehlinger, Ollie Bream McIntosh, Matteo Millone, Douglas Sloan, Rumman Chowdhury, and Oliver Nixon.
Moderated by Paul Fehlinger, Senior Director of Policy, Investment & Innovation at Project Liberty Institute, the session featured Rumman Chowdhury, Founder and CEO of Humane Intelligence; Douglas Sloan, Managing Director at ImpactVC and Better Society Capital; Matteo Millone, Senior Responsible Investment Portfolio Manager at APG Asset Management (Dutch Pension Fund); Oliver Nixon, Head of Research at Reframe Venture; and Ollie Bream McIntosh, of the systemic investment intiative TWIST.
A recurring theme throughout the discussion was the distinction between AI for good and good AI. While much impact investing today focuses on applying AI to challenges in areas such as health, climate, and education, participants explored a complementary question: what would it take to invest in a more open, trustworthy, secure, and human-centered AI stack itself?
“For years, investors have asked how to manage AI risk. Increasingly, the more strategic question is how to help shape the stack itself. Just as previous generations invested in the infrastructure that enabled the internet economy, today’s investors have an opportunity to back the data, governance, assurance, and interoperability layers that will determine whether AI expands human agency or not. The conversation is moving from responsible AI as a compliance issue to pro-human AI as an investable ecosystem,” said PLI’s Paul Fehlinger
The conversation examined opportunities across infrastructure, data governance, models, developer tools, assurance technologies, and application layers, with governance serving as a cross-cutting wrapper throughout. Participants also reflected on the growing interest among parts of the impact-oriented investment ecosystem in this type of investment pathway. While often more indirect than traditional impact investing, investing in the foundations of the AI ecosystem may ultimately help shape the essential goods, services, and markets that increasingly depend on AI.
Through a combination of framing discussions, interactive audience engagement, and breakout sessions, over 60 participants explored concrete approaches for systemic investment across the AI stack and the complementary roles of institutional investors, venture capital, family offices, and philanthropy in helping shape a more human-centered AI future.
Over 60 participants explored concrete approaches for systemic investment across the AI stack, aiming to build infrastructure and governance systems that expand human agency.
The session marked another step in establishing investment in a pro-human AI stack as an emerging impact and market-shaping investment vertical, focused not only on managing AI risks, but also on building the infrastructure, incentives, and governance systems needed for AI to expand human agency and create long-term societal value.
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