The Dynamist

When the average person thinks of nuclear energy, there’s a good chance they’re thinking in terms influenced by pop culture—Homer Simpson’s union job at the Springfield plant, or the HBO miniseries Chernobyl, which dramatized the world’s biggest meltdown.

For all its promise in the mid-20th century, U.S. nuclear energy largely stalled in the 1970s and 80s. While public anxiety over its safety played a role, experts have pointed to the hefty cost of building plants and poor regulatory/policy decisions as having more impact. But in recent years, as demand for low-carbon energy surges and companies like OpenAI, Microsoft, and Google are burning through energy to train artificial intelligence, there is a renewed interest in making nuclear work in this century.

But concerns over cost and safety remain, and even among proponents of nuclear energy, there is a robust debate about exactly how to approach future builds, whether to rely on conventional methods or hold off until new research potentially yields a smaller, more cost-effective method of unlocking atomic energy. What is the state of nuclear power in the U.S. and around the world today? What policies could shape its future? And how might AI, other market dynamics, geopolitics, and national security concerns impact the debate and its outcomes?

Evan is joined by Emmet Penney, the creator of Nuclear Barbarians, a newsletter and podcast about industrial history and energy politics, and a contributing editor at COMPACT magazine. Thomas Hochman, Policy Manager at FAI, is also joining. You can read Emmet’s recent piece on how why nuclear energy is a winning issue for the populist GOP here. You can read Thomas’s piece for The New Atlantis on “nuclear renaissance” here, and his writeup of the ADVANCE Act here.

On September 29th, Governor Newsom vetoed SB 1047, a controversial bill aimed at heading off catastrophic risks of large AI models. We previously covered the bill on The Dynamist in episode 64. In a statement, Newsom cited the bill’s “stringent standards to even the most basic functions” and said he does “not believe this is the best approach to protecting the public from real threats posed by the technology.” Senator Scott Wiener, the bill’s author, responded, “This veto leaves us with the troubling reality that companies aiming to create an extremely powerful technology face no binding restrictions from U.S. policymakers[.]”

The bill had passed the California senate back in August by a vote of 30-9, having been the subject of fierce debate between AI companies big and small and researchers and advocates who fear a catastrophic AI event. Proponents want to get ahead of AI cyberattacks, AI weapons development, or doomsday scenarios by making developers liable to implement safety protocols. Opponents argue that the bill will stifle innovation in California, calling it an “assault on open source” and a “harm to the budding AI ecosystem.”

Aside from the merits of the legislation, it is arguably the first major political fight over AI in the U.S. where competing interests fought all the way to the governor’s desk, attempting to sway the pen of Governor Newsom. The story featured a cast of characters from California Democrats like Nancy Pelosi to billionaires like Elon Musk to major companies like Google and OpenAI. What does this battle say about who holds sway in emerging AI politics? What are the factions and alignments? And what does this all mean for next year in California and beyond?

Evan is joined by Sam Hammond, Senior Economist at FAI and author of the Substack Second Best, and Dean Ball, a research fellow at the Mercatus Center, author of the Substack Hyperdimensional, and a non-resident fellow at FAI.

Fusion energy, potentially a fuel source that could last a thousand years, is transitioning from science fiction to business reality. Helion Energy recently signed the first fusion power purchase agreement with Microsoft, promising 50 megawatts by 2028. But the story isn't just about the physics breakthroughs that make fusion possible. The U.S. and China are tussling for global leadership in fusion, as is the case in so many fields. And as China is outspending the US on fusion research by about $1.5 billion annually, concerns mount that they could make a serious challenge to America's lead in fusion. After all, while the US pioneered advances in clean energy technologies like solar panels and EVs, America ultimately lost manufacturing leadership to China.

With fusion, the stakes could be much higher, given that fusion has the potential to be the world's "last energy source," with significant economic and national security implications. Evan is joined by Sachin Desai, General Counsel at Helion Energy and former Nuclear Regulatory Commission staffer, and Thomas Hochman, Director of Infrastructure Policy at FAI. They discuss the technical, regulatory, and geopolitical dimensions of what could be this decade's most consequential technology race.

Everyone wants government to work better, and part of that is updating outdated systems and embracing modern technology. The problem? Our federal government faces a critical tech talent crisis. Only 6.3% of federal software engineers are under the age of 30, which is lower than the percentage of total federal workers under 30. That means that federal tech talent skews older than lawyers, economists, etc. Not to mention, Silicon Valley pays 2-3x more than the feds, which makes it hard to attract computer science majors into government. The shortage threatens America's ability to navigate an era of technological disruption across AI, quantum computing, defense tech, and semiconductors.

While recent initiatives like Elon Musk's temporary team of young engineers and the $500 billion Stargate program highlight the urgency, they don't solve the fundamental problem: creating a sustainable pipeline of technical talent willing to take a pay cut for public service. This talent gap could hamper innovation despite the current AI boom that's receiving 60% of venture funding. How can the private sector and federal government work to bridge this gap?

Evan is joined by Arun Gupta, who pivoted from 18 years as a Partner at Columbia Capital investing in cybersecurity and AI startups to leading NobleReach Foundation, which works to bring some of the best assets of the private sector into public service. They explore how to bridge the gap between Silicon Valley and government service to ensure America can effectively regulate, adopt, and leverage emerging technologies for the national interest.

During the pandemic from 2020 to 2021, Congress dropped $190 billion to help reopen schools, provide tutoring, and assist with remote learning. The results? Fourth graders' math scores have plummeted 18 points from 2019-2023, eighth graders’ have dropped 27 points - the worst decline since testing began in 1995. Adult literacy is deteriorating too, with Americans in the lowest literacy tier jumping from 19% to 28% in just six years. Are we watching the collapse of academic achievement in real time?

In this episode, education policy veteran Chester Finn joins us to examine this crisis and potential solutions. Drawing on his experience as a Reagan administration official and decades of education reform work, Finn discusses why accountability measures have broken down, whether school choice can right the ship, and if the federal government's education R&D enterprise is fixable. Joining the conversation are FAI's Dan Lips and Robert Bellafiore, who recently authored new work on leveraging education R&D to help address America's learning challenges.

This is part one of a two-part series examining the state of American education and exploring paths forward as a new administration takes office with ambitious - and controversial - plans for reform.