Chuck Todd opens with Trump getting visibly defensive with reporters over a brutal new inflation report — and argues the bad economy is in worse shape directly because of Trump's policies, with the president himself having zero answers for the data. He notes that AI investment is essentially the only thing propping up the economy, and that we are at least weeks away from the end of the Iran war. He warns we're only at the beginning of the inflation problem and that Democrats can simply point to Trump's broken promises of lower costs and no wars — they don't even need to make a "for" case, just a sustained "against" case — but cautions that despite all of this, Democrats still have a serious brand problem that no economic data alone will fix. He argues the failed Virginia redistricting effort exposed the deeper issue: Democrats talk like the resistance but are viewed as institutionalists, while Republicans still behave like raw partisans, and the rise of independent voters represents a fundamental protest against both available parties — something that should worry Democrats more than Republicans because the GOP has already shown a willingness to blow up the system. He makes a sweeping argument that until the last decade, Democrats were a reform-focused party, but the Trump era has pushed them into becoming defenders of institutions at exactly the moment when public trust in institutions had collapsed. He closes with observations from the Musk-Altman trial, which he says has been revealing about the personalities actually building AI — with OpenAI employees testifying to Altman's lying and the internal chaos, and so much tech ego on display that the public, already feeling burned by big tech, is only going to grow more skeptical. 

This episode of the Chuck Toddcast features a deep dive into the AI governance crisis with two of the leading experts in the field. First, Miriam Vogel — president and CEO of EqualAI — joins the show to explain her organization's mission of establishing meaningful AI guardrails at a moment when American consumers are deeply skeptical of big tech and less than 1% of companies have anything resembling strong AI governance policies. Vogel argues that good governance means corporate leadership must take direct responsibility for AI deployment, walks through her five best practices for responsible AI adoption, and pushes back on the idea that federal preemption should override state-level regulation — noting that companies are pushing hard against state regulation precisely because they know most of the actual rules will be written in court cases over the next few years. She warns that we're seeing tremendous investment in AI without commensurate ROI so far, that gender and regional gaps in AI adoption are already emerging, and that the public urgently needs to be empowered with real knowledge about AI's upsides as well as its risks. Vogel asks the question that should keep every executive up at night: are we actually ready for AI to make decisions without humans in the loop? And she argues that transparency — letting employees and consumers see how AI errors play out — will be absolutely essential to safe deployment.

Then former Deputy National Security Advisor Anne Neuberger joins to discuss what global AI governance should look like between superpowers, and whether the arms race framing between the U.S. and China is actually helpful or harmful. Neuberger argues AI is fundamentally different from nuclear regulation because it's being developed by the private sector rather than by governments, and questions whether it was a mistake to let the private sector spearhead this technology in the first place. Drawing on her cybersecurity background, she walks through how governments learned to combat ransomware: extending existing rules for fiat currencies to cover cryptocurrencies (which had helped criminals evade detection), disincentivizing ransom payments, and helping companies recover without paying — a template she argues could apply to AI regulation. Neuberger says AI drug development should be an international win-win rather than a zero-sum arms race, but acknowledges the national security applications make competition unavoidable, with advantages now measured in months rather than years and dangerously inadequate military-to-military communication between the U.S. and China. They debate whether an "FDA for AI models" might be necessary, that existing regulations can be updated to cover AI without requiring new legislation, and that AI will ultimately transform defensive cybersecurity by allowing companies to double-check their infrastructure at scale. Her bottom line: laws always trail technology, but governments have key roles to play in identifying cyber risks, helping companies patch their infrastructure, and ensuring America's defenders aren't left behind as Chinese models close the six-month gap.

Finally Chuck reveals his bonus TWO ToddCast Top 5 lists, the top 5 2028 Democratic hopefuls who have run for president before, and the top who haven’t. He also answers listeners’ questions in the “Ask Chuck” segment.

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Timeline:

(Timestamps may vary based on advertisements)

00:00 Chuck Todd’s introduction

01:30 Trump gets defensive with reporters over bad inflation report

03:00 Economy is in worse shape directly because of Trump’s policies

03:45 Trump has zero answers for the bad state of the economy

04:45 Dow still hasn’t gotten back over 50k since Bondi’s viral moment

05:45 AI investment is the only thing propping up the economy

06:30 We are weeks away from the end of the Iran war… at minimum

07:45 Despite the bad economy, Democrats still have a brand problem

08:30 We are only at the beginning of the inflation problem

09:15 Dems can point to Trump breaking promise of lower costs & no wars

10:00 Dems don’t even have to make a “for” case, just an “against” case 

11:00 Another variable is what the political maps look like by the midterms

12:15 The issue for the Dems is what the party stands for… what’s its identity?

13:00 Dems ‘28 hopefuls need to, and will jump in early

13:45 Dems failed redistricting in VA exposed a problem with the party

15:45 Dems talk like resistance but are viewed as institutionalists

16:30 GOP still behaves more like raw partisans

17:15 South Carolina would have risked disaster by carving up Clyburn’s seat

18:45 Backlash to SCOTUS gutting Voting Rights Act could juice Dem turnout

19:45 Why do both parties seem against reforming the system overall?

21:15 Politics has become completely nationalized and it’s a problem

21:45 Until the last decade, the Democrats were a reform focused party

23:00 The Trump era has pushed Dems into becoming defenders of institutions

23:45 Biden ran on preservation when trust in institutions had collapsed

25:15 The rise of independent voters shows protest for the two available parties

26:30 Rise of independents should worry Dems more than Republicans

27:45 Real reforms to the system would help rebuild trust with the public

29:30 Dems risk becoming custodians of a system people don’t trust

31:45 Dems took their eye off the ball, haven’t acted as reformers

33:30 The Musk/Altman trial has been revealing of the personalities building AI

34:00 OpenAI’s employees testified to Altman lying and chaos internally

35:15 So much tech ego on display at the trial

36:00 The public already feels burned by big tech

43:30 Chuck Todd’s introduction

46:15 Miriam Vogel joins the Chuck ToddCast

46:30 Equal AI’s mission is to establish AI guardrails

47:45 American consumers are extremely skeptical of big tech

48:30 Tech companies need to address users’ concerns & questions

50:30 Less than 1% of companies have strong AI governance policies

52:00 Some companies are working hard towards AI best practices

53:00 State vs. federal regulation for tech companies & AI

53:45 Why are companies pushing back against state level regulation?

55:45 Most of AI regulation will come down to the courts

57:30 We need more certainty of expectations from AI companies

59:45 AI is a disruptor, we can’t pretend it won’t be everywhere

1:01:00 Are we ready for AI to make decisions without humans in the loop?

1:01:45 Good governance means leadership must take responsibility for AI

1:02:45 If agentic AI without a human was outlawed, how would companies respond?

1:04:00 We’re seeing tremendous investment without the ROI so far

1:05:00 AI will scale at an exponential rate

1:05:45 We’re seeing gender and regional gaps in AI adoption

1:06:30 The public needs to be empowered with knowledge of AI’s upside

1:07:45 The five best practices for AI adoption

1:09:30 Employees and consumers will see how AI errors play out

1:10:45 Transparency will be key to safe AI deployment

1:12:15 Anne Neuberger joins the Chuck ToddCast

1:12:45 What should AI global governance look like between superpowers?

1:14:00 AI is different than nuclear regulation because it’s developed privately

1:14:45 Was it a mistake to let the private sector spearhead AI development?

1:16:00 Cybersecurity concerns and risks

1:17:15 Cryptocurrency helped criminals evade detection & enforcement

1:18:00 Every ransom payment encourages more cyber attacks & ransomware

1:19:15 Cyber threat intel was shared across governments

1:20:15 Governments extended rules for fiat currencies to cryptocurrencies

1:21:00 Governments had to disincentivize ransom payments

1:22:00 Goal was to help companies recover without paying a ransom

1:22:45 Both companies & government should share burden of security

1:24:15 AI is being framed as an arms race between U.S. and China

1:25:00 AI drug development should be an international win-win

1:26:00 The arms race framing applies to national security applications

1:27:45 The speed of innovation is so fast, a race feels unwinnable

1:29:00 Advantages in AI race will be measured in months, not years

1:29:45 There’s no good military to military comms between U.S. & China

1:32:00 Does government have any chance to effectively regulate AI?

1:32:45 It took a major cyberattack for government to figure out cybersecurity

1:33:30 Government took existing regulations and updated them for digital age

1:35:30 Existing regulations can also be updated to regulate AI without legislation

1:36:30 Should there be an FDA for AI models?

1:37:45 There needs to be a balance between innovation and regulation

1:38:45 Laws trail tech. Need to find regulation that protects the public

1:40:15 AI will transform defensive cybersecurity

1:41:00 AI can double check defensive cyber infrastructure at scale

1:42:45 We need to prepare our defenders, China’s models are 6 months behind

1:43:45 Companies will need help to patch and update their infrastructure

1:44:45 The government has a very key role to play in AI cybersecurity

1:45:45 Government has to clearly identify where the cyber risks are 

1:47:30 Thought the AI conversation was important, didn’t want it behind a paywall
1:48:30 The most difficult part of AI regulation will be the carrot & stick approach
1:49:30 TWO ToddCast Top 5 lists today
1:52:15 Winning Democratic presidential candidates are usually first time candidates
1:56:15 Top 5 2028 Democratic candidates who have never run for president
1:56:30 2026 results will dictate who will eventually have best prospects in 2028
1:59:30 #5 2026 TBD, could be Rob Sand, Mallory McMorrow…Colbert?
2:00:00 #4 Josh Shapiro
2:01:00 #3 Gavin Newsom
2:02:15 #2 Wes Moore
2:03:15 #1 AOC

2:05:15 Top 5 2028 Dem candidates who HAVE run for president
2:05:30 #5 Amy Klobuchar
2:06:30 #4 Cory Booker
2:08:00 #3 Pete Buttigieg
2:09:30 #2 Bernie Sanders
2:10:30 #1 Kamala Harris
2:12:00 Ask Chuck
2:12:15 Modern equivalent of the “good government” groups of the 20th century?
2:17:00 When should Dems make strategic adjustments vs compromising values?
2:20:00 Is a socially conservative, fiscally liberal platform viable?
2:22:30 Could co-op’s be a viable solution to modern economic challenges?