Welcome back to the exchange. Anthropic dividing Silicon Valley over its stance on AI regulation with big names like David Saxs and Reed Hoffman clashing over the issue. McKenzie Sagalos is back with the story in today's tech check.>> So John, this debate around AI safety is fracturing Silicon Valley with anthropic at the center of the divide. One investor in the company told me that Anthropic stance on responsible R&D is valid but easily interpreted as a regulatory capture. The company has hired senior Bid ...

Antropic now at the center of a battle over AI regulation and safety with public clashes on X between tech titans like David Saxs, Reed Hoffman, Mark Andre. Our Mackenzie Sagal is following that story for today's tech check. Hi again Mac.>> Hey Carl. So Silicon Valley is splitting into two distinct camps. Those pushing for guard rails on AI and then those warning that regulation could kill America's edge.Now, on one side, Trump's AIS are David Saxs, Mark Andre, Elon Musk, and other high-profile Republican a ...

Anthropic CEO Dario Amodei put out a lengthy blog post pushing back at “inaccurate claims” about its policy positions days after White House AI czar David Sacks criticized the company’s calls for more AI regulation https://t.co/xGh5RmPXyi ...

Make no mistake, what we are dealing with is a real and mysterious creature, not a simple and predictable machine. This is from anthropic co-founder Jack Clark. He recently published some of his comments from a talk he did in Berkeley in which he conveys his fear of this steady march towards artificial general intelligence.So, we're going to go over what he's so afraid of. Then we're going to give the flip side to show who's thinking that this is just fear-mongering and regulatory capture. Now, before I get ...

AI and the Federal Reserve - The Fed is dedicating significant attention to AI, with approximately 25% to 33% of Fed communications addressing the topic [2] - A Fed governor suggests policymakers should allow AI disruption, trusting long-term benefits will outweigh costs, similar to historical technology trends [2] - History indicates new technology fosters growth and employment, with capital and labor acting as complements [3] - The challenge for policymakers is to facilitate worker and firm adaptation, ensuring efficiency gains translate to higher wages and growth [3] AI's Impact on Labor and Productivity - AI-related job losses are currently managed through attrition and retraining, but layoffs are expected to increase, particularly for college-educated workers [5] - AI presents potential threats including fraud, disinformation, bias, and cybersecurity [6] - The Fed anticipates AI could deliver greater productivity, potentially allowing the Fed to operate at a lower rate [6] Regulatory Approaches and Investment - A Fed governor suggests the US approach of allowing technology to develop before regulating is superior to Europe's preemptive regulation [7] - The US approach is credited for the US leading Europe in the 1990s technological boom [7] - A report indicates AI investment may have peaked in the first half of the year [8] Monetary Policy Implications - One Fed governor suggests the neutral rate could be higher due to capital investment from AI [8] - The potential influence of AI on monetary policy, particularly regarding long-run rate outlook changes due to investment and productivity booms, remains a key consideration [9][10]

With AI advancing so quickly, lawmakers are working to find the right regulatory formula. They must focus on online safety and algorithmic accountability, while not burdening U.S. competitiveness with overregulation. A leading voice in DC on tech privacy and policy, Tennessee Senator Marsha Blackburn, talks about ways Capitol Hill needs to be thinking about regulating AI without hampering the private sector’s ability to continue leading its development. For access to live and exclusive video from CNBC subsc ...

Group 1 - Meta Platforms, Inc. is recognized as one of the Top 10 Long-Term Stocks to Invest In according to David Tepper, with Citi reiterating a Buy rating and maintaining a price target of $915 [1] - Ronald Josey from Citi expresses optimism about Meta's proactive stance in the AI regulatory landscape, highlighting the company's investment of millions into a new super PAC aimed at countering state-level AI policy proposals [2] - The new super PAC, named the American Technology Excellence Project, involves an investment of 'tens of millions' from Meta, which is seen as a strategic move to combat challenging AI and tech policy bills [3] Group 2 - As of September 30, the average price target for Meta Platforms, Inc. is estimated at $880, indicating a potential upside of approximately 19.83% from current levels [4] - Meta is a leading technology company focused on developing products that enhance connectivity, including social media platforms and VR, mixed reality headsets, and wearable products [4] - Citi identifies the adoption of Meta's latest AI glasses as a significant catalyst for growth, predicting that adoption could reach a 'tipping point' by 2026 as device capabilities improve [3]

"There's a real need for simplification" when it comes to AI regulation in Europe, according to President of Google in EMEA Debbie Weinstein#BBGWomenMoneyPower https://t.co/D71n0UVSBN https://t.co/kOcNvwLoYV ...

Group 1 - Meta is investing "tens of millions" in a super PAC to combat state-level proposals regulating AI and other technologies [1][2] - The American Technology Excellence Project aims to block poorly crafted state-level bills that could hinder the U.S. AI race against China, with 1,100 tech policy proposals introduced this year [2] - The super PAC will support state-level candidates who advocate for AI development and defend U.S. technology leadership [3] Group 2 - California is the most active state in regulating technology, with Meta spending $518,000 to lobby against certain tech bills [4] - Tech companies are urging the White House and Congress to pass legislation preventing states from regulating AI [4][5] - Industry representatives argue that state regulations would slow AI development and prefer federal legislation to avoid a patchwork of state laws [5] Group 3 - Advocates for state legislation argue that the federal government has not passed comprehensive AI legislation and that states should protect their citizens [6] - The Senate rejected a proposed 10-year moratorium on state-level AI regulations with a 99-1 vote, raising concerns about regulating powerful technology [6]

Core Viewpoint - Meta is significantly increasing its efforts against AI regulation by investing "tens of millions" into a new super PAC aimed at opposing state-level tech policy proposals that could hinder AI development [1] Group 1: Super PAC Details - The new super PAC, named the American Technology Excellence Project, will be managed by Republican Brian Baker and the Democratic firm Hilltop Public Solutions, focusing on electing tech-friendly politicians from both parties in the upcoming midterm elections [2] - The super PAC's objectives include promoting U.S. tech companies, advocating for AI progress, and enhancing parental control over children's online experiences with AI technologies [2][3] Group 2: Context of AI Regulation - The establishment of the PAC coincides with numerous states proposing AI regulations due to perceived federal inaction, with over 1,000 bills related to AI introduced across all 50 states during the 2025 legislative session [4] - In California, two significant bills are awaiting the governor's decision: SB 243, which aims to regulate AI companion chatbots for the protection of minors, and SB 53, which seeks to impose new transparency requirements on large AI companies [4] Group 3: Industry Response - Meta's VP of public policy stated that the new PAC will support candidates who advocate for AI development and defend American tech leadership both domestically and internationally [5] - The broader tech industry is mobilizing against state-level AI regulations, arguing that a fragmented regulatory landscape would hinder innovation and complicate operations for major AI companies [7]