Price:

AI & TECH

Trump and Sanders both propose federal equity stakes in OpenAI

Wednesday, June 10, 2026 · from 3 podcasts, 6 episodes
AI Daily BriefBreaking PointsThe Daily
  • Trump confirms exploring a public equity partnership in AI giants like OpenAI, an idea Sam Altman pitched.
  • The administration also implemented a voluntary 30-day model safety review, a watered-down version of proposed regulation.
  • A bipartisan populist push, from Bannon to Sanders, demands more aggressive state intervention over AI.

The political lane for nationalizing AI profits is suddenly wide open. President Donald Trump confirmed his administration is “exploring concepts” where the American public becomes a partner in leading AI labs, a move The AI Daily Brief’s Nathaniel Whittemore notes creates rare common ground with Senator Bernie Sanders.

On Breaking Points, economics correspondent Jeff Stein reported that OpenAI CEO Sam Altman likely proposed the plan, offering the government an equity stake to secure “too big to fail” status before the bubble bursts. The goal is to buy populist favor by promising public dividends from AI profits, a direct answer to critics of soaring energy costs and unchecked power.

The equity gambit arrives alongside the administration’s first substantive regulatory gesture. After a year of hands-off policy guided by AI czar David Sacks, Trump signed an executive order requiring companies to voluntarily share advanced models with the government 30 days before release. The Daily reported the policy shift was triggered by Anthropic’s April announcement of Mythos, an AI model deemed too dangerous for public release due to its skill at finding software vulnerabilities.

"Sam Altman is pitching a radical survival strategy to the Trump administration: let the government become a major shareholder in OpenAI."

- Jeff Stein, Breaking Points

The final order was a dramatic retreat from a tougher draft, following last-minute intervention from Silicon Valley. An initial version mandated a 90-day review period, but The Daily notes Trump canceled the signing ceremony after calls from executives like Mark Zuckerberg and Marc Andreessen. The signed version shrinks the window to 30 days and explicitly forbids the creation of a mandatory licensing regime.

Whittemore calls the result a “Rorschach test policy” that gives everyone something to claim. For safety advocates like former advisor Dean Ball, cited in The AI Daily Brief, the infrastructure tees up future mandatory licensing. For tech interests, the voluntary nature and disclaimer against overreach protect the status quo. The NSA will test models but has no power to block their release.

Outside the West Wing, a populist coalition is demanding far more. Steve Bannon is channeling base anxiety over AI’s economic impact, while Sanders has proposed the government seize a 50% ownership stake in major AI firms. The industry’s response is a double game: OpenAI publicly encourages “rigorous rules” while its founders fund candidates who favor a hands-off approach.

"The policy process for the latest AI executive order was a mess of last-minute calls and scrapped ceremonies."

- Nathaniel Whittemore, The AI Daily Brief

The drive for public stakes reflects a deeper political calculation. With chip stocks erasing $1.2 trillion in value in a single day, the AI trade is showing fragility. Offering the state a piece of the pie may be the industry’s best hedge against a backlash when the bubble deflates.

#AI Infrastructure#Regulation#Big Tech
Nathaniel WhittemoreSam AltmanAnthropicOpenAINational Security Agency

Source Intelligence

- Deep dive into what was said in the episodes

The AI Daily Brief: Artificial Intelligence News and Analysis
The AI Daily Brief: Artificial Intelligence News and Analysis

Nathaniel Whittemore

OpenAI Declares the Next Phase of AI • Jun 9

  • Nathaniel Whittemore describes the new Trump AI executive order as a 'Rorschach test policy' that gives commentators something to claim victory around while functionally doing little.
  • The executive order's core policy is voluntary safety testing of advanced models before public release. The signed version encourages companies to share models 30 days before release, a compromise from the draft's 90-day period.
  • Nathaniel Whittemore notes Steve Bannon and Bernie Sanders both call for mandatory AI regulation, showing how AI creates unusual political alliances.
  • David Remler from the Center for a New American Security argues the executive order merely formalizes existing voluntary sharing agreements between AI labs and the government.
  • Anthropic expanded Project Glasswing access to its Mythos model by adding 150 new partners across 15 countries, including sectors like energy and healthcare.
  • Nathaniel Whittemore observes that Anthropic's messaging on Mythos public release is confusing, walking back a 'coming weeks' promise from the Opus 4.8 announcement.
  • Testers find Mythos powerful but eye-wateringly expensive, running through millions of dollars worth of tokens quickly, with Anthropic currently subsidizing the cost.
  • SK Hynix plans to double its memory chip manufacturing capacity by the end of the decade to address AI-driven shortages, viewing the demand as a structural change.
  • SK Hynix Chairman Chey Tae-won warns the chip shortage could last until 2030 and argues the AI industry must pursue sustainable growth to avoid price jumps harming adoption.
  • OpenAI's report on Coda notes its growth to 5 million weekly active users, with non-technical knowledge workers adopting it three times faster than developers.
  • Nathaniel Whittemore summarizes OpenAI's thesis: knowledge work suffers from 'strange abundance' where producing artifacts is cheap but finding context and coordinating information is costly, citing a McKinsey study that workers spend over 25% of their week on email.
  • OpenAI reports 72% of Coda knowledge workers produce weekly artifacts, with common non-coding tasks being research (41%), data analysis (27%), and business workflow implementation (15%).
  • OpenAI observes a shift from sequential to parallel task execution in Coda, with 50% of users now running multiple tasks simultaneously, enabling a single worker to orchestrate work streams like a small team.
  • OpenAI's new Coda role-specific plugins bundle apps and skills for sales, analytics, and other functions, with six plugins including access to 62 apps and 110 skills.
  • Nathaniel Whittemore argues Coda Sites transforms disposable web app creation into a core knowledge work primitive, enabling secure, shareable artifacts beyond static documents.
Also from this episode: (4)

AI Infrastructure (1)

  • Uber has implemented a $1,500 monthly cap on token spending per employee, signaling cost management as a critical vector in enterprise AI adoption.

Models (2)

  • Microsoft released seven new AI models at Build, with MAI Thinking 1 positioned between Sonnet 4-6 and Opus 4-6 ranges, using a 1 trillion parameter mixture-of-experts architecture.
  • Ali Bakhouch notes MAI Thinking 1 uses zero synthetic data, learning reasoning and tool use fully during post-training, which is a harder but more controlled approach.

Enterprise (1)

  • Mustafa Suleyman claims Microsoft frontier tuning for McKinsey's tasks delivered higher win rates than GPT-5.5 at 10x lower cost, positioning cost optimization as Microsoft's core enterprise strategy.
#Enterprise#Regulation#Chips#Models

How We Use AI Is Changing • Jun 8

  • President Trump confirmed the government is exploring taking an equity stake in major AI labs, citing a concept where 'the American public essentially becomes a partner with the companies' to benefit from AI success.
  • OpenAI is pitching the idea of donating equity to the US government to seed a public wealth fund, viewing it as a way for the public to benefit from AI growth through potential dividend distributions.
  • David Sacks argued nationalizing AI accelerates corporate-government fusion, creating a 'central government AI' system with totalistic power over information and behavior akin to a social credit system.
  • Brad Gerstner opposes government nationalization but encourages AI companies to donate shares for direct citizen benefit through private pooled accounts or individual 'Trump accounts'.
  • Google signed a three-year deal to pay SpaceX $920 million per month to rent compute capacity, granting access to at least 110,000 Nvidia GPUs from October 2024 through June 2029.
  • OpenAI CFO Sarah Friar said free ChatGPT users average 7 turns per day, while paid tier Plus users ($20/month) do 3x that and Pro users do 11x, revealing a major usage gap between casual and power users.
  • The AI advantage gap is compounding as agent users experience exponential value growth through coding loops, while regular chat users see only linear gains, pushing labs to overhaul interfaces.
  • Developers are shifting from prompting coding agents to designing automated loops that prompt agents, a next-level abstraction exemplified by Claude Code creator Boris Cherney who now writes loops instead of code.
Also from this episode: (5)

Big Tech (2)

  • With the Anthropic and Google deals, xAI will receive $26 billion per year in compute licensing revenue, implying an 18-month payback period on its reported $40 billion data center investment.
  • Financial Times reported OpenAI is planning its biggest ChatGPT overhaul to transform it into a 'super app' combining coding tools and AI agents, targeting business customers and higher revenue.

AI Infrastructure (2)

  • SpaceX has 550,000 GPUs, making it the largest neo-cloud provider with more than double the capacity of CoreWeave, and GPU rentals are now its biggest business line.
  • Nvidia secured a two-year supply deal with SK Hynix to ensure high-bandwidth memory for its next-generation Vera Rubin chips, deepening ties as demand creates industry-wide shortages.

Enterprise (1)

  • OpenAI's enterprise business now represents 40% of revenue from 2 million business customers, with a target to reach 50% by December, as the company shifts focus towards lucrative enterprise clients.
#Big Tech#Enterprise#Agents#Macro#Regulation

What OpenAI and Anthropic Think Happens Next With AI • Jun 5

  • Nathaniel Whittemore says Trump's AI executive order evolved from mandating 90-day pre-release government access to a voluntary 30-day process, with NSA assigned primary testing responsibility.
  • David Saxs intervened to stop the initial executive order, arguing it would hinder US AI competitiveness against China. The final version includes a disclaimer prohibiting mandatory government licensing or pre-clearance regimes.
  • Dean Ball calls the executive order a major win for AI safety advocates within the administration and a significant loss for accelerationists like Saxs, arguing it tees up infrastructure for future mandatory licensing.
  • Anthropic expanded Project Glasswing access to its Mythos model, adding 150 partners across 15 countries including energy, water, communications, healthcare, and hardware sectors vulnerable to catastrophic cyber attacks.
  • Anthropic walked back its timeline for general Mythos access, stating robust safeguards preventing cyber capability misuse don't exist yet. Current testers find the model powerful but prohibitively expensive, with Anthropic subsidizing costs.
  • OpenAI reports Codex now has 5 million weekly active users, with non-technical knowledge workers adopting it three times faster than developers. The platform sees users shifting from sequential to parallel task execution.
  • OpenAI identifies three knowledge work frictions: finding inputs across opaque systems, information coordination costs, and approval delays. A McKinsey study found workers spend over 25% of their week on email and nearly 20% searching for internal information.
  • OpenAI's new Codex features include annotations for precise document interaction, role-specific plugins bundling apps and skills for six functions, and Sites for turning artifacts into shareable web apps.
  • Uber implemented a $1,500 monthly token spending cap per employee, highlighting cost management as a critical vector in enterprise AI adoption amid the broader shift from subsidy to scarcity economics.
  • Microsoft released seven new AI models including MAI Thinking One, a 1-trillion parameter MoE model positioned between Sonnet 4.6 and Opus 4.6. Mustafa Suleyman claims it outperformed GPT-4.5 on quality while being 10x lower cost for McKinsey tasks.
  • Microsoft's strategy focuses on Frontier Tuning for company-specific agents, with CEO Satya Nadella advocating for enterprises to move from consuming frontier models to participating in the frontier ecosystem via cost-optimized proprietary models.
Also from this episode: (1)

AI Infrastructure (1)

  • SK Hynix plans to double memory chip manufacturing capacity by decade's end, viewing AI-driven demand as structural. Chairman Shay Taye Wuan warns shortages could persist until 2030 and sudden price jumps threaten industry sustainability.
#Big Tech#Models#Enterprise#Regulation#Chips

The Next Wave of Enterprise AI • Jun 3

  • President Trump's recent AI executive order requires companies to voluntarily share advanced models with the government 30 days before public release, a reduction from the draft's 90-day period. The NSA is tasked with primary testing.
  • David Sachs intervened to stop the initial executive order signing. He later clarified the policy only targets models with a meaningful step change in cyber capabilities, like Anthropic's Mythos, not incremental updates.
  • The executive order expressly prohibits creating a mandatory government licensing or preclearance regime for AI models, a direct response to critiques of a de facto licensing system.
  • Anthropic expanded Project Glasswing, granting 150 new partners across 15 countries access to its Mythos model. The rollout now includes energy, water, communications, healthcare, and computer hardware sectors.
  • Anthropic stated robust safeguards to prevent misuse of Mythos's cyber capabilities do not yet exist, walking back earlier promises of a near-term public release. Testers find the model powerful but extremely expensive.
  • OpenAI's Codex hit 5 million weekly active users, with non-technical knowledge workers adopting it three times faster than developers. 72% of its knowledge worker users produce an artifact weekly.
  • OpenAI's report identifies three core frictions in knowledge work: finding inputs across systems, information coordination costs, and approvals. It argues Codex acts as a factory redesign to address these.
  • About 50% of Codex users now run multiple tasks in parallel during the day, a shift from sequential use that lets a single worker operate at the scale of a small team by orchestrating workstreams.
  • OpenAI's Codex update introduced annotations for precise document interaction, role-specific plugins bundling apps and skills for six functions, and a Sites feature to turn artifacts into shareable web apps.
Also from this episode: (4)

Chips (1)

  • SK Hynix plans to double its memory chip manufacturing capacity by the end of the decade in response to structural AI-driven demand, though shortages may persist until 2030.

Models (2)

  • Microsoft released seven new AI models, headlined by MAI Thinking 1, a 1-trillion parameter MoE model. The company positions them not for raw performance but for cost-effective enterprise customization.
  • Microsoft CEO Satya Nadella highlighted a tuned MAI model delivered a higher win rate than GPT-5.5 for McKinsey's tasks at one-tenth the cost, framing cost optimization as a core enterprise strategy.

Enterprise (1)

  • Uber instituted a $1,500 monthly cap on employee token spending, exemplifying the growing focus on cost management as enterprises shift to more token-intensive agentic workloads.
#Regulation#Enterprise#Models#Big Tech
Breaking Points with Krystal and Saagar
Breaking Points with Krystal and Saagar

6/8/26: Chips Stocks Hammered, Trump Floats Gov Stake In AI Companies • Jun 8

  • A Financial Times poll shows Trump has only 38% approval among Republicans on inflation handling, with 68% overall disapproval and 19% approval being his worst issue.
  • Jeff Stein reports Trump confirmed discussing a government equity stake in AI firms, a plan Sam Altman proposed where OpenAi would 'seed control' to Washington for free.
  • Stein says Republican base voters are deeply skeptical of AI data centers, creating tension with the Trump administration's tech-elite alignment.
  • Krystal suggests OpenAi wants a government stake to become 'too big to fail' and secure a future bailout, while also potentially justifying bans on cheaper foreign AI like DeepSeek.
  • Fidelity slashed its SpaceX IPO minimum to $2000 for retail investors but imposes escalating penalties and a lifetime ban for early sales.
  • Stein clarifies Trump's potential small equity stake differs fundamentally from Bernie Sanders' proposal to forcibly seize over 50% of AI firms for a sovereign wealth fund.
Also from this episode: (6)

Markets (3)

  • Saagar argues Friday's strong jobs report crushed the Nasdaq by 4.2% because investors bet on impending Fed rate hikes, which hits AI stocks by raising borrowing costs for data center capex.
  • The market lost $1.2 trillion in a single day from a chip stock rout where Micron, Supermicro, and Sandisk each fell over 11%. Nvidia and Cisco dropped 6%.
  • Stein cites a study finding Nvidia's stock reached 20% of GDP, triple Microsoft's dot-com bubble peak, signaling a valuation bubble despite the tech's transformative potential.

AI Infrastructure (1)

  • Krystal notes that the scale of data center buildout now exceeds all US public infrastructure spending, meaning a crash would decimate the entire economy.

Energy (1)

  • Jet fuel costs have doubled, leading airlines to add surcharges that Krystal argues will never be rolled back, exemplifying permanent inflationary 'shitification'.

Startups (1)

  • Morning Star analysis values SpaceX at less than half its $1.75 trillion IPO target, with Stein noting Starlink is profitable but XAi is a money-losing laggard.
#Fed#Markets#AI Infrastructure#Startups#Regulation
The Daily
The Daily

Congressional Republicans Try a New Approach: Telling Trump No • Jun 8

  • Trip Mickle reports that President Trump signed an executive order requiring AI companies to voluntarily share their models with the government for review about 30 days before public release.
  • Upon entering office, Trump signed an order repealing Biden-era AI safety rules, guided by venture capitalist and White House AI czar David Sacks. Sacks argued that AI is a geopolitical and economic race against China that requires minimal regulation.
  • The policy shift was triggered by Anthropic's April announcement of Mythos, an AI model skilled at detecting software vulnerabilities that the company deemed too dangerous for public release.
  • Microsoft and JPMorgan Chase CEO Jamie Dimon warned the administration after Mythos, with Treasury Secretary Scott Bessent and Chief of Staff Suzy Wiles fearing political fallout from a potential cyberattack.
  • An initial draft executive order proposed a 90-day government review window, but Trump canceled the signing ceremony after calls from tech executives like Mark Zuckerberg, Marc Andreessen, and David Sacks.
  • The final executive order, signed quietly on a Tuesday, reduced the review window to 30 days and explicitly prohibited mandatory government licensing or pre-clearance.
  • Populists on the right, led by Steve Bannon, and on the left, led by Bernie Sanders, advocate for heavier AI regulation. Bannon cites economic and moral risks, while Sanders proposes an AI development moratorium and a 50% public ownership stake in major AI companies.
  • More than three dozen pastors signed a letter with Steve Bannon urging Trump to regulate AI, citing concerns about AI companions damaging marriages and societal moral fabric.
  • OpenAI publicly encouraged Congress to adopt more rigorous AI rules days after the executive order, a shift for a company that had largely opposed regulation.
  • Trip Mickle notes that a third to more than half of current US GDP growth comes from AI and its buildout, a major economic argument against heavy regulation.
#Regulation#Startups#Big Tech#Politics