Who gets to regulate AI?

The question of who should regulate AI is at the heart of a global reckoning, as President Trump signs a voluntary executive order requiring tech giants to share frontier AI models with the government 30 days before release. While the order is non-binding, experts argue it's likely to be followed anyway due to political pressure and past precedents, like the Trump administration's actions against Anthropic. The move comes amid growing anxiety over AI's impact on national security, especially after the development of Anthropic's Mythos model, which can detect cybersecurity vulnerabilities. Yet the real tension lies in the economic fallout: while AI drives record stock market highs and massive investments—Google’s $80 billion AI fund dwarfs NASA’s annual budget—workers, especially young graduates, face rising job insecurity. In Spain, AI-driven automation is exacerbating youth unemployment, even as vocational training programs emerge as a lifeline. Meanwhile, climate change, particularly the looming El Niño, threatens food systems worldwide, with farmers and restaurateurs adapting through innovation, but warning that without systemic support, local food economies will collapse. The episode reveals a world where technological progress outpaces governance, and where the benefits of AI and climate adaptation are unevenly distributed—favoring the powerful while leaving others scrambling to survive.