Mo Gawdat

Peter Diamandis × Mo Gawdat × Steven Kotler

Current AI improves output quality without reliably delivering productivity gains, while synthetic data, agentic collaboration, and AlphaEvolve suggest capabilities may compound beyond today’s awkward tools.Human misuse is a clearer near-term risk than AGI, with autonomous weapons, manipulation, infrastructure attacks, and sectoral unemployment potentially reaching 10%, 20%, 30% or 40%.

Peter Diamandis × Mo Gawdat × Salim Ismail × Dave Blundin

AI labor displacement could reach 10%, 20%, 30% or 40% in some sectors within two to three years, while roughly 40% of jobs face automation risk within three to five.AI-enabled builders and tiny firms may capture outsized returns as infrastructure spending approaches $1 trillion annually by 2030, but demand, capital taxation, autonomous weapons and self-modification remain unresolved risks.

Mo Gawdat × Peter Diamandis × Salim Ismail

Mo Gawdat says AI surpassed him in 2024 and that AGI has already arrived in his world, with AlphaFold, generative biology and locally deployable models pointing toward intelligence becoming cheap scientific infrastructure.The upside is accelerated abundance, but trillionaires, autonomous weapons, surveillance and employment disruption could intensify before competitive pressure forces institutions to delegate consequential decisions to AI, which Mo expects to become unmistakable by 2027.