Artificial intelligence is changing the world as we know it. We believe the people impacted by AI should have a voice in shaping where it goes. So we tell you what's happening with ten-minute daily briefings that matter and interviews with the people building this technology, leading through it, and living with its consequences. We help you understand what's happening, prepare for what's coming, and shape what's next.
Hosted by Alfred Burgesson — a former Senior Advisor to Canada's Minister of AI.
New Study Shows AI Could Displace 20% of Cognitive Workers
In this episode, we examine a new paper from Anthropic Institute that models three possible economic futures as AI becomes more capable between now and 2030.
The research presents three distinct scenarios: a modest one where AI behaves like a normal technology with minimal disruption, a substantial scenario where AI becomes more economically significant than the internet, and an extreme scenario where the economy transforms completely with annual GDP growth reaching 15% while nearly one in five cognitive workers face unemployment.
The findings reveal something striking: in the extreme scenario, GDP could be 32% larger by 2030, but the labor share of income falls from around 60% to 45%, meaning substantially more wealth flows to capital rather than workers. Cognitive workers including professionals, managers, and office workers face the greatest disruption, while workers outside cognitive occupations could become relatively more valuable.
Join us as we break down these three possible futures, what they mean for different types of workers, and why economic growth alone may not tell us whether the AI transition is actually working. This isn't just about GDP numbers. It's about who benefits from AI-driven prosperity, what happens to displaced workers, and whether we're building the institutions to ensure people can actually participate in the wealth that AI creates. The real measure of the AI transition shouldn't just be how much the economy grows, but whether people have a meaningful path to share in that growth.
19 Sept 2026
Who Has A Better AI Strategy? Canada vs. New York
In this episode, we examine two very different approaches to AI and students unfolding at the same time: New York City's cautious moratorium on generative AI for younger students, and Canada's ambitious national literacy initiative designed to prepare more than 1 million people to understand and use AI.
New York is putting a one-year pause on student-facing generative AI for students in grades 2K through 8th, prioritizing caution and evidence before scaling AI in classrooms. Canada, meanwhile, has launched a comprehensive program targeting 1 million post-secondary students and more than 50,000 K-12 educators, built around a simple progression: understand AI, use AI, and for those who choose, build with AI.
One approach says slow down and protect students first. The other says move now and prepare people for the future. But which strategy is actually better for the students?
Join us as we break down what New York and Canada are doing, what each approach gets right, and whether the best path forward might actually combine both philosophies. This isn't just about technology in schools. It's about whether we should prove AI improves learning before we scale it, or whether avoiding AI entirely becomes unrealistic as students prepare to graduate into universities and workplaces where these tools are everywhere. The question isn't whether students will interact with AI. They will. The real questions are: at what age, for what purpose, under whose supervision, and what human skills do we need to protect along the way?
17 Sept 2026
Canada Wants 1 Million Students to Learn AI. Here's Why
In this episode, we examine one of Canada's most ambitious efforts yet to prepare its citizens for the age of artificial intelligence: a new national AI literacy initiative designed to reach over 1 million people.
The Canadian federal government, in partnership with AIME (the Alberta Machine Intelligence Institute), has launched a comprehensive program targeting 1 million post-secondary students and more than 50,000 K-12 educators. The initiative is built around three core principles: understand AI, use AI, and for those who choose, build with AI.
Post-secondary students will gain access to a free three-hour AI literacy course focused on responsible use and workplace readiness. K-12 educators will receive practical training and classroom-ready resources to help navigate AI in education. The program emphasizes critical skills like assessing AI-generated information, recognizing biases, identifying misinformation, and understanding privacy risks. Workers and job seekers will also be able to access short-duration AI training as workplaces transform.
Join us as we break down what Canada is doing, why treating AI literacy as a universal skill matters, and the real challenges of implementing national education initiatives when provinces control their own curricula. This isn't just about learning to use AI tools. It's about building the judgment to know when to trust them, question them, and use them wisely. Is AI literacy becoming the next digital literacy?
16 Sept 2026
NYC Mayor Bans AI in Elementary Schools
In this episode, we examine one of the boldest government actions yet on AI in education: Mayor Zohran Mamdani's comprehensive policy banning generative AI for younger students across New York City's public schools.
Mamdani's administration is implementing a one-year moratorium on student-facing generative AI for students in grades 2K through 8th, affecting nearly 600,000 public school students. The policy rejects the tech industry's narrative that AI in early education is inevitable and necessary, instead prioritizing human connection, critical thinking, and evidence-based decision making.
The policy introduces strict age-appropriate restrictions while allowing limited teacher-supervised AI pilots for high schoolers, with only about 5% of New York City public school students participating. High school students will receive twice-yearly AI literacy modules to learn how AI works, where it can fail, and how to use it responsibly.
Teachers will still be permitted to use approved AI tools for lesson planning and administrative work, and exceptions exist for students with disabilities, multilingual learners, and those in career readiness programs like computer science.
Join us as we break down what this policy actually does, why it matters, and whether New York City's approach could become a model for how governments navigate AI in schools. This isn't just about technology. It's about whether preparing students for an AI future means making them dependent on AI, or teaching them how to think, create, question, and use these tools with judgment.
15 Sept 2026
Anthropic CEO Says “Slow Down AI”
In this episode, we examine a striking proposal from Dario Amadei, CEO of Anthropic, one of the leading companies building frontier AI systems. Amadei has just made one of the strongest public arguments for slowing down the pace of AI development.
What makes this particularly noteworthy is that Amadei is not anti-AI. He believes artificial intelligence could cure major diseases, accelerate economic growth, and dramatically improve human life. Yet he warns that the risks are becoming more serious, including loss of control, cyber attacks, bioterrorism, and major economic disruption.
His central concern is recursive self-improvement: AI systems increasingly helping to build the next generation of AI systems. He argues this could accelerate capability growth beyond our ability to understand or control it.
Amadei's proposal has three key parts: embedding independent evaluators inside AI companies with employee-like access to verify safety practices, coordinating pacing among democratic countries, and eventually achieving global coordination. He emphasizes that pacing should be tied to capabilities rather than arbitrary timelines, with checkpoints where more powerful systems must meet higher safety standards before progressing further.
Join us as we break down why one of AI's leading figures believes the frontier needs to be paced, what he is proposing, and whether slowing down is actually realistic in a world where companies and countries compete for AI supremacy.
14 Sept 2026
The AI Researcher Who Quit to Warn the World
In this episode, we examine the story of Jacob Coxon, a 27 year old AI researcher who just quit Anthropic after spending three years working on pre-training frontier AI models at both OpenAI and Anthropic, two of the companies at the center of the AI race.
When Coxon left, he issued an extraordinary warning: the companies building frontier AI are racing towards self-improving superintelligence without knowing how to guarantee that those systems remain under human control.
Join us as we examine one researcher's decision to walk away from the frontier, and what it reveals about the forces shaping the future of artificial intelligence.
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