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Trump Picks AI Czar as Tech Insiders Reshape White House Policy
Intra-party splitSep 28, 2026

Trump Picks AI Czar as Tech Insiders Reshape White House Policy

62%
38%

62% Left — 38% Right

Estimated · Polling cited in the articles (NYT/Siena, AP-NORC, POLITICO-Public First) shows majorities across party lines are wary of unregulated AI expansion, data center buildout, and worried about catastrophic risk, suggesting broad public skepticism of the administration's 'hoax' framing. However, general distrust of concentrated tech power combined with anxiety about China competition creates cross-cutting pressure, and many moderates likely support some acceleration while still wanting guardrails, tempering a full left tilt.

Purple = 35% dissent within both parties

EstimatePolling cited in the articles (NYT/Siena, AP-NORC, POLITICO-Public First) shows majorities across party lines are wary of unregulated AI expansion, data center buildout, and worried about catastrophic risk, suggesting broad public skepticism of the administration's 'hoax' framing. However, general distrust of concentrated tech power combined with anxiety about China competition creates cross-cutting pressure, and many moderates likely support some acceleration while still wanting guardrails, tempering a full left tilt.
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Intra-Party Split Detected

Democrats are split between accelerationist-friendly tech ties and calls from figures like Sanders and Ocasio-Cortez for pausing AI development or imposing strict safety oversight, without a unified party agenda. On the right, most Republicans back Trump's deregulatory approach, but some GOP voters (47% per polling) express concern over data center buildouts, and industry leaders traditionally aligned with Trump (Musk, Altman) have publicly urged more safety regulation, diverging from the administration's 'hoax' framing.

Left says

  • •The concentration of former venture capitalists and 'All-In' podcast figures inside the White House raises concerns that AI policy is being shaped by people with direct financial stakes in the industry they're meant to regulate.
  • •Polling shows majorities of Americans, including nearly half of Republicans, are wary of unchecked data center expansion and worried about AI's environmental and safety risks, yet the administration is dismissing these concerns as a 'hoax.'
  • •Sidelining calls from AI safety researchers and even industry leaders like Anthropic's CEO for stronger oversight prioritizes speed and competition with China over precaution against catastrophic risks.
  • •Trillions of dollars in AI infrastructure spending financed through opaque private credit and outside capital could spread financial risk across pension funds and the broader economy without adequate regulatory scrutiny.

Right says

  • •Creating an AI Force and appointing a dedicated czar reflects a deliberate strategy to keep America ahead of China in the AI race rather than let bureaucratic delay slow down innovation.
  • •Existing criminal and civil justice systems are sufficient to address bad actors in AI, so heavy-handed preemptive regulation isn't necessary and could stifle a technology still rapidly evolving.
  • •Maintaining open lines of communication with tech leaders, rather than treating them as adversaries the way the prior administration did, has helped widen America's technological and innovative lead.
  • •Warnings about AI 'destroying humanity' are overstated fearmongering that a strong, engaged president is better equipped to manage than speculative doomsday regulation.

Common Take

High Consensus
  • Trump has ruled out Treasury Secretary Scott Bessent for the AI czar role, narrowing the field to other insiders like Sriram Krishnan or Chamath Palihapitiya.
  • The AI industry now represents a trillion-dollar sector with massive infrastructure investment, estimated at $10.3 trillion through 2032.
  • Both sides recognize that AI policy involves genuine tension between fostering rapid innovation and managing safety, financial, and societal risks.
  • David Sacks previously served as AI and crypto czar before departing in March, and remains an influential outside adviser shaping policy.
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The Arguments

Left argues

Populating advisory councils and czar shortlists with venture capitalists and podcast personalities who hold direct financial stakes in AI companies creates an inherent conflict of interest in shaping the very regulations meant to constrain those companies.

Right counters

The people who best understand a fast-moving technology are those building it, and excluding industry expertise in favor of career bureaucrats risks the kind of adversarial ignorance that slowed innovation under the prior administration.

Right argues

Standing up an AI Force and naming a dedicated czar signals that the U.S. is treating AI dominance as a national security priority on par with space, ensuring America doesn't cede ground to China through regulatory delay.

Left counters

Framing every safety concern as a China-race problem is a rhetorical shortcut that conveniently silences domestic critics, including AI CEOs themselves, without addressing the substance of catastrophic-risk warnings.

Right argues

Existing criminal and civil law already provides mechanisms to punish bad actors who misuse AI, so imposing preemptive regulatory regimes on a technology still rapidly evolving risks locking in rules that quickly become obsolete or counterproductive.

Left counters

Relying on after-the-fact prosecution is inadequate for risks that safety researchers warn could be catastrophic or irreversible, where waiting for harm to occur before acting defeats the purpose of oversight.

Left argues

Polling shows broad bipartisan public unease about data center expansion, environmental costs, and AI safety risks, yet the administration dismisses these concerns as a 'hoax' rather than engaging with the underlying evidence driving them.

Right counters

Public opinion polls reflect diffuse anxiety stirred by media coverage and speculative doomsday narratives, not technical expertise, and a president willing to engage directly with builders and innovators is better positioned to judge real risk than reactive polling.

Left argues

The trillions of dollars in AI infrastructure financing flowing through opaque private credit vehicles and outside capital create systemic financial risks that could spread to pension funds and the broader economy, echoing prior speculative bubbles, yet this is happening with minimal regulatory visibility.

Right counters

Private markets are already pricing and absorbing this capital voluntarily, and heavy-handed intervention in financial structures could choke off the very investment needed to keep American AI competitive with state-backed Chinese efforts.

Challenge Questions

These questions target genuine internal contradictions — meant to provoke honest reflection.

Right asks Left

“If concentration of industry insiders in policymaking is inherently disqualifying due to conflicts of interest, how should the left reconcile that standard with its own past reliance on former tech and finance executives serving in Democratic administrations?”

Left asks Right

“If existing criminal and civil law is sufficient to handle AI harms after they occur, why does the administration simultaneously argue that AI is unprecedented enough to require an entirely new 'AI Force' and czar position?”

Outlier Report

Left Fringe

Sen. Bernie Sanders and figures aligned with an outright AI development pause/ban on superintelligence represent a small but vocal fringe (~10-15% of the left) more radical than the mainstream Democratic position, which is more about oversight and Big Tech accountability than halting AI outright.

Right Fringe

Accelerationist tech figures like Marc Andreessen, David Sacks, and 'All-In' podcast hosts (Chamath Palihapitiya, David Friedberg) represent an extreme anti-regulation, China-race-above-all fringe that may only reflect ~15-20% of the broader right, most of whom likely still want some consumer/safety protections.

Noise Assessment

High — much of the loudest discourse comes from tech industry insiders, podcast personalities, and Washington policy circles rather than the general public, who show more measured, poll-based concern about AI's risks and costs without necessarily following the day-to-day palace intrigue over the czar appointment.

Sources (8)

Washington Times

President Trump said he has ruled out Treasury Secretary Scott Bessent to become his artificial intelligence czar, after several outlets reported he was under consideration for the position.

Axios

<p><strong>A new analysis </strong>of <a href="https://www.axios.com/technology/automation-and-ai" target="_blank">the AI buildout</a> shows its staggering scale: $10.3 trillion in estimated AI infrastructure investment through 2032.</p><ul><li>That amounts to 3.6% of GDP a year, dwarfing the investment booms that built America's <a href="https://www.axios.com/2026/06/30/ai-boom-bis-warning" target="_blank">railroads</a>, highways, electric grid and telecom networks.</li></ul><p><strong>Why it matters: </strong>The AI boom has become far too big and too costly for even the largest tech companies to finance alone. This has resulted in trillions of dollars in demand for outside capital — and the potential risks that come along with that, according to new <a href="https://www.brookings.edu/articles/financing-the-ai-buildout/" target="_blank">research being presented Friday</a> at the Brookings Papers on Economic Activity.</p><hr /><ul><li>Financing the buildout will require tapping bond markets, banks and private credit on a massive scale, adding to the flood of debt competing for investors' money at a time when borrowing costs are already surging. </li><li>So far, those higher costs appear to be doing little to curb the industry's appetite to build. The knock-on effect: The more capital the buildout absorbs, the greater the potential pressure on borrowing costs elsewhere in the economy.</li><li>In effect, any other entity that needs capital — from the U.S. government financing its $2 trillion per year deficit to an individual seeking a home mortgage or car loan — is in competition for funds with these hyperscalers.</li></ul><p><strong>What they're saying:</strong> Stijn Van Nieuwerburgh, a Columbia Business School professor behind the new paper on how the AI infrastructure boom is being financed, says the industry's appetite for investment remains remarkably resilient to higher rates.</p><ul><li>"They are so gung-ho to build these things" that even recent rate hikes and historically high long-term yields won't "deter too much of that development," Van Nieuwerburgh told reporters recently.</li><li>Morgan Stanley estimates that Big Tech will need roughly $2.9 trillion to expand its computing capacity through 2028 — with more than half coming from outside investors, according to the paper.</li></ul><p><strong>Case in point:</strong> Facebook parent Meta chose to finance most of its $30 billion Hyperion data center through outside investors, even though doing so meant paying substantially more to borrow.</p><ul><li>The project's debt carries an interest rate at least 1 percentage point higher than Meta likely would have paid on its own debt, adding more than $5 billion in costs over the life of the deal, the paper estimates.</li></ul><p><strong>Threat level:</strong> The surge of outside money — much of it from private credit — allows the AI boom to keep scaling. But it spreads possible risks across the financial system, often through financing structures that are harder for investors and regulators to track.</p><ul><li>The infrastructure would need to generate $3.7 trillion in annual revenue in the next six years to earn a 10% return — roughly 9% of GDP.</li><li>"The risks have been spreading throughout the financial system," Van Nieuwerburgh said, as the industry taps pension funds, sovereign wealth funds, private credit and other sources of outside capital.</li><li>"With that expansion comes more complexity, more opacity, and it's becoming difficult to track where the risks are being distributed," he said. "These risks are coming to a pension fund near you, so to speak."</li></ul><p><strong>What to watch: </strong>Van Nieuwerburgh says the influx of outside capital risks allowing the buildout to race ahead of actual demand.</p><ul><li>"Sooner or later, we're going to have oversupply, just like we do in every real estate cycle, and then the prices will collapse," he said. "I don't see why this time is different."</li></ul><p><strong>The bottom line:</strong> The AI investment boom is now a major force in the broader economy, boosting growth while putting new pressure on capital markets and the financial system.</p><ul><li><strong>"</strong>This AI buildout is by far the largest ... it's 50% larger than the second-largest, which was the railroad buildout," Van Nieuwerburgh said.</li></ul>

Axios

<p>President Trump's <a href="https://www.axios.com/2026/09/15/trump-ai-doom-safety-regulation-hoax" target="_blank">accelerationist AI doctrine</a> increasingly bears the stamp of the "All-In" podcast, whose tech-investor network now feeds ideas and talent directly into the White House.</p><p><strong>Why it matters: </strong>An unlikely marriage of convenience between MAGA and Silicon Valley has proved remarkably durable, deepening as Trump <a href="https://www.axios.com/2026/04/14/trump-maga-coalition-catholics-iran-war" target="_blank">sheds support elsewhere</a> and stakes more of his legacy on dominating the AI race.</p><hr /><p><strong>Zoom in:</strong> No figure has done more to bridge the two worlds than <a href="https://www.axios.com/2026/03/30/david-sacks-trump-ai-agenda-plan" target="_blank">David Sacks</a>, the "All-In" co-host who spent Trump's first year as his AI czar and remains a powerful outside adviser with direct access to the president.</p><ul><li>Sacks helped build Trump's original AI agenda around a simple premise: move fast, sweep away regulatory barriers and treat China — not catastrophic risk — as the overriding threat.</li><li>Anthropic's highly capable Mythos model posed the first serious challenge to that doctrine in May, rattling the White House enough to <a href="https://www.axios.com/2026/05/05/trump-anthropic-ai-regulation-mythos-cyber" target="_blank">consider pre-release oversight</a> of frontier models.</li><li>But Trump <a href="https://www.axios.com/2026/06/02/trump-signs-new-ai-executive-order" target="_blank">watered down</a> the 90-day review plan after Sacks and industry leaders warned that three months amounted to an eternity in frontier AI — and could slow U.S. labs as China raced ahead.</li></ul><p><strong>Zoom out: </strong>Sacks left the White House but not Trump's inner circle, shaping AI policy as co-chair of the president's science council while the broader "All-In" network embeds itself deeper across Trumpworld.</p><ul><li><strong>David Friedberg</strong> serves on the same council alongside investor Marc Andreessen, Meta CEO Mark Zuckerberg and other tech leaders — putting half of "All-In"'s core cast on the president's formal science-policy panel.</li><li><strong>Chamath Palihapitiya</strong>, another co-host and prominent Trump booster, is <a href="https://www.axios.com/2026/09/21/trump-ai-force-czar" target="_blank">among the names being floated</a> for the new AI czar job Trump announced last weekend.</li><li><strong>Brad Gerstner</strong>, a frequent fill-in on the podcast, helped conceive <a href="https://www.axios.com/2025/12/04/trump-accounts-401k-529" target="_blank">Trump Accounts</a> and became one of the program's chief evangelists.</li></ul><p><strong>The intrigue: </strong>Jason Calacanis, the show's moderator, is the political outlier — frequently criticizing Trump on Iran and inflation while otherwise aligning with his co-hosts on the revolutionary nature of AI.</p><p><strong>Between the lines: </strong>Few platforms better capture the zeitgeist of AI accelerationism than "All-In," where the movement's leading investors, executives and political allies increasingly converge.</p><ul><li>After former Anthropic researcher Jacob Coxon's safety warnings <a href="https://www.axios.com/2026/09/09/anthropic-ai-human-extinction-pdoom-safety-risks" target="_blank">exploded across Washington</a>, the hosts devoted much of their <a href="https://www.youtube.com/watch?v=cvxjqbfLVk0&amp;t=139s" target="_blank">next episode</a> to portraying the backlash as an orchestrated "doomer" campaign.</li><li>Three days later, Nvidia CEO Jensen Huang <a href="https://www.axios.com/2026/09/14/trump-jensen-huang-nvidia-ai-all-in-summit" target="_blank">paused his live "All-In" Summit interview</a> to take a call from Trump, who drew a raucous reception as he dismissed AI catastrophe fears as a "hoax."</li></ul><p><strong>What they're saying:</strong> White House spokesperson Kush Desai said Trump "has always listened to a variety of opinions from a variety of subject matter experts" and argued that his open line to tech leaders has helped widen America's technological lead.</p><ul><li>"The fact that this President maintains an open line of communication with tech leaders instead of castigating them, as the Biden administration had done, is a major reason why America's technological and innovative lead has widened since President Trump came into office," Desai said.</li></ul><p><strong>What to watch: </strong>"All-In" and the accelerationist wing of Silicon Valley are tying themselves unusually tightly to one president and one governing philosophy.</p><ul><li>Sacks, for example, has blessed a $<a href="https://www.axios.com/2026/03/29/ai-pac-midterms-trump?utm_source=chatgpt.com" target="_blank">100 million-plus midterm operation</a> built to advance Trump's AI agenda and punish candidates who favor tougher regulation.</li><li>Inside AI labs, that political fusion is feeding a deeper fear: that warnings about catastrophic risk will become coded as anti-Trump politics, turning AI safety into yet another partisan litmus test.</li></ul>

Axios

<p>The long-promised personal AI assistant is finally arriving, with a suddenly crowded field of agents offering to run pieces of your everyday life.</p><p><strong>Why it matters:</strong> For years, tech's "personal assistants" were little more than voice-controlled search boxes. Rapid advances in AI are finally giving them the memory, judgment and autonomy to act on our behalf.</p><hr /><p><strong>Catch up quick:</strong> Chatbots answer questions. <a href="https://www.axios.com/2026/08/11/ai-agents-rogue-autonomy-hugging-face" target="_blank">AI agents</a> can actually do things — shopping, making calls, booking tickets, managing calendars and navigating the web.</p><ul><li>The agentic model first took off in coding and other professional work. Now it's spilling into the far more intimate terrain of everyday life.</li></ul><p><strong>The intrigue: </strong>OpenAI is expected to enter the market soon after hiring the creator of <a href="https://www.axios.com/2026/03/23/openclaw-agents-nvidia-anthropic-perplexity" target="_blank">OpenClaw</a> — a breakout hit among AI power users earlier this year — to "drive the next generation of personal agents."</p><p><strong>Driving the news:</strong> A consumer-agent race has erupted almost overnight, with startups and tech giants pursuing the same basic idea — persistent digital proxies that know your life.</p><ul><li><strong>Instinct</strong> has become buzzy by connecting to users' email, messages, screen, audio and location — then proactively texting or calling to help run their lives. It recently added its own email addresses and the ability to make phone calls, and is now in talks for a <a href="https://www.theinformation.com/articles/ai-agent-startup-instinct-talks-10-billion-valuation" target="_blank">$10 billion valuation</a>.</li><li><strong>Grok Bot,</strong> <a href="https://x.ai/news/introducing-grok-bot" target="_blank">launched by</a> Elon Musk's SpaceXAI in August, gives persistent agents their own cloud computers, lets them sign into users' apps and keeps them working around the clock.</li><li><strong>Meta's Muse</strong> brought the concept to a <a href="https://www.axios.com/2026/09/18/meta-muse-personal-agent-make-money" target="_blank">broader consumer audience</a> this month with a polished app, a customizable avatar and deep integration with Meta's ecosystem.</li><li><strong>Apple's Siri </strong>is finally getting its <a href="https://www.axios.com/2026/06/09/apple-siri-ai-agents-wwdc" target="_blank">AI overhaul</a>, bringing more context and capability to an assistant already built into hundreds of millions of devices.</li></ul><p><strong>The big picture:</strong> The battle to become your personal agent is also a battle to become the keeper of your personal information and data.</p><ul><li>The frontier AI race has revolved around raw intelligence. Personal agents win by becoming useful and deeply embedded in your daily life. </li><li>The more an agent knows about your relationships, schedule and spending, the more useful it becomes.</li></ul><p><strong>Between the lines:</strong> Becoming someone's default agent could be one of the most valuable relationships in consumer technology.</p><ul><li>People are likely to share far more with an AI that manages their lives than they did with a search engine. </li></ul><p><strong>Yes, but: </strong>Nobody yet knows what price consumers will pay for that convenience, in cost or privacy.</p><ul><li>Apple says some server-based Apple Intelligence features, including the upgraded Siri, will have <a href="https://www.axios.com/2026/07/30/tim-cook-apple-may-charge-for-ai-siri" target="_new">usage limits</a>, with expanded access potentially tied to iCloud plans.</li><li>Meta is offering free and paid Muse tiers, while pitching the product as more privacy-conscious than its earlier AI offerings.</li></ul><p><strong>What to watch: </strong>Some people inside and outside the industry argue that users should own the personal data and context their agents accumulate, not ad-driven tech giants.</p><ul><li>Will.i.am, whose <a href="https://www.axios.com/2026/04/01/will-i-am-electric-three-wheeled-smart-car-nvidia" target="_blank">FYI.AI</a> offers agents equipped with their own phone numbers that can text, call and collaborate with humans to build projects, said he recoils at getting an agent for free "in exchange for extracting your very core — how you think."</li><li>"That's nasty," the Black Eyed Peas frontman told Axios. "We've seen that with social media."</li></ul>

Axios

<p>President Trump <a href="https://truthsocial.com/%40realDonaldTrump/117298821562014906" target="_blank">announced</a> Saturday he is creating an "AI Force" modeled on the Space Force and will soon name a new AI czar, doubling down on his push to <a href="https://www.axios.com/2026/09/14/trump-ai-safety-regulations-congress" target="_blank">accelerate</a> artificial intelligence development with limited regulation.</p><p><strong>Why it matters: </strong>The White House isn't <a href="https://www.axios.com/2026/09/14/trump-ai-safety-anthropic-dario-amodei" target="_blank">backing down</a> from its laissez-faire approach to AI, even as the<a href="https://www.axios.com/2026/09/13/ai-labs-regulation-safety" target="_blank"> industry's biggest leaders</a> call for stronger safety rules and as public concern about AI intensifies.</p><hr /><p><strong>The latest: </strong>Trump offered few details on what this AI Force would actually do, what budget it would have or where it would be placed in the federal government.</p><ul><li>The White House did not immediately respond to a request for comment.</li><li>His Truth Social post said the government would "not in any way hinder or stifle" AI's growth but would look for "BAD" behavior using "our already existing Criminal and Civil Justice System."</li><li>He compared the proposed AI Force to Space Force, a military branch established by Congress in his first term.</li></ul><p><strong>Catch up quick: </strong>Trump has <a href="https://www.axios.com/2026/09/15/trump-ai-doom-safety-regulation-hoax" target="_blank">hardened</a> his anti-regulation position during an extraordinary month of warnings from inside the AI industry.</p><ul><li>Anthropic CEO Dario Amodei, OpenAI CEO Sam Altman, SpaceX CEO Elon Musk and Demis Hassabis — the Nobel laureate who co-founded and chairs Google DeepMind — have all called for slowing AI development as their systems become more powerful.</li><li>Anthropic alignment researcher Evan Hubinger recently said he personally believes there is a greater than 10% chance AI could "kill all humans" within the next decade.</li><li>Trump <a href="https://www.axios.com/2026/09/14/trump-ai-safety-anthropic-dario-amodei" target="_blank">responded</a> by calling technologists' fears that AI could destroy humanity a "hoax" and saying the only guardrail the technology needs is a "strong and smart" president.</li></ul><p><strong>The intrigue: </strong>The AI czar position would revive a role that the White House <a href="https://www.axios.com/2026/03/26/trump-white-house-david-sacks-ai-czar-policy-influence" target="_blank">didn't plan</a> to fill six months ago.</p><ul><li>David Sacks left the formal AI and crypto czar job in March, though he remains influential as co-chair of the President's Council of Advisors on Science and Technology.</li></ul><p><strong>By the numbers: </strong>Public sentiment has not matched Trump's enthusiasm.</p><ul><li>A <a href="https://www.nytimes.com/2026/09/15/us/politics/ai-polls-midterms.html" target="_blank">New York Times-Siena poll</a> of 1,503 likely voters released this week found 61% opposed building data centers to power AI, including 47% of Republicans and 75% of Democrats.</li><li>An <a href="https://apnorc.org/projects/americans-are-increasingly-concerned-about-the-environmental-consequences-of-ai/" target="_blank">AP-NORC-University of Chicago poll</a> also released this week found 53% were highly concerned about AI's environmental impact.</li><li>A <a href="https://www.politico.com/news/2026/09/16/poll-ai-technology-risks-humanity-trump-voters-01078087" target="_blank">POLITICO-Public First poll</a> released this week found 63% of U.S. adults see at least a moderate risk that advanced AI could eventually destroy humanity.</li></ul><p><strong>The other side:</strong> Democrats have <a href="https://www.axios.com/2026/09/16/warren-ai-pause?utm_source=chatgpt.com" target="_blank">increasingly</a> called for intervention, but they <a href="https://www.axios.com/2026/08/23/2028-democrats-ai-bernie-sanders?utm_source=chatgpt.com" target="_blank">haven't united</a> around a single AI agenda.</p><ul><li>Sen. Bernie Sanders (I-Vt.) wants to pause advanced AI development and permanently ban so-called superintelligence — AI more capable than humans and able to operate beyond human control.</li><li>In a <a href="https://x.com/charlesmonaco/status/2101056243863277861?s=20" target="_blank">campaign email</a> Friday night, Rep. Alexandria Ocasio-Cortez (D-N.Y.) called for strict safety standards and public oversight and warned Congress not to bail out Big Tech if the "AI bubble" pops.</li></ul><p><em>Editor's note: This story has been updated with new detail throughout. </em></p><img src="https://images.axios.com/ZYdkzgLY6-Due9WL2R6FK0teRmo=/2026/09/19/1789843796348.jpeg" /> <div>Screenshot: President Trump/Truth Social</div>

New York Post

The administration is set to pick the second-ever AI chief with several former and current administration insiders rumored to be in the running for the position overseeing the trillion-dollar industry in tumult.

The Hill

President Trump said Friday he is ruling out Treasury Secretary Scott Bessent to serve as his artificial intelligence czar amid speculation the Cabinet member was under consideration. Trump, in a Truth Social post, said Bessent will not be the &#8220;Super Intelligence (SI) Czar,&#8221; referring to his proposed rebranding of AI, because he &#8220;doesn&#8217;t want to.&#8221;&#8230;

This summary was generated by artificial intelligence and may contain errors or mischaracterizations. Always refer to the original sources for authoritative reporting.

Trump Picks AI Czar as Tech Insiders Reshape White House Policy | TwoTakes