Andrew Whitten talks about why funders should embrace complexity to tackle AI’s socioeconomic risks.

Laura Rachevsky explores how achieving AI democratisation requires public accountability through financial governance.

Alina Hueber looks into ASML’s monopoly on lithography machines providing a unique opportunity for the EU to limit catastrophic AI risks and advance long-term EU economic security.

Kristina Fort argues that the EU should build partnerships with AI-capable countries other than the US and China.

Alejandro Tlaie argues that independent, technically rigorous external audits should become a mandatory pillar of AI governance for advanced general-purpose models.

Afek Shamir argues that AI agents become more capable, policymakers have a narrow window to build traceability tools before governance failure becomes irreversible.

Kathrin Gardhouse says that robust cybersecurity at frontier AI companies and across their supply chains has become a critical national security concern.

Jakub Kryś presents a set of recommendations to strengthen the whistleblowing ecosystem in the EU.

Michelle Nie explores how her life changed when she left her tech career, entered AI governance, and did the Talos Fellowship.

Kristina Fort interviewed five people to explore their journeys into AI policy careers.

Jacob Schaal & Tekla Emborg explore how Big Tech uses compute-and-equity "quasi-mergers" to sidestep EU merger law, proposing that antitrust rules incorporate the AI Act's systemic-risk and compute thresholds to close the gap.