Zuckerberg targets Anthropic with open-source policy push
- Anthropic is targeting a $3 trillion IPO valuation while capturing 43 percent of enterprise AI market share.
- Mark Zuckerberg released an open-source manifesto to lobby against regulatory barriers and secure data center approvals.
- Wall Street lenders engineered a $500 billion debt model to finance AI graphics processors as real estate assets.
Anthropic wants a three trillion dollar public valuation this October.
The AI developer is targeting a public listing between $2 trillion and $3 trillion on an annualized revenue run-rate reaching $120 billion. Data from corporate spend platform Ramp shows Claude leading enterprise adoption, used by 43 percent of surveyed American businesses compared to OpenAI's 39.7 percent. To protect these margins and maximize cluster throughput ahead of the IPO, Anthropic is negotiating a $6 billion acquisition of Israeli optimization startup Decart AI. But maintaining that growth requires physical infrastructure that software cannot replicate overnight.
Mark Zuckerberg launched a counter-offensive through a 6,500-word manifesto advocating for open-source AI abundance. On This Week in Startups, host Jason Calacanis noted that Meta's public push for free models works as a targeted public relations campaign to soften local opposition against power-hungry data centers. Three days later on Hard Fork, journalist Casey Newton argued the essay functions as a corporate lobbying document. Beneath the anti-regulatory rhetoric lies Meta's explicit push for liability exemptions, fast-tracked infrastructure approvals, and rules regulating physical chemical precursors rather than model weights.
On All-In, the debate turned on whether centralized safety controls protect the public or entrench corporate monopolies. Host David Sacks argued that safety regulations proposed by closed-source pioneers like Anthropic CEO Dario Amodei create elite corporate cartels. Releasing open-weight models like Meta's Llama provides enterprises with a hedge against price gouging and platform lock-in, while offering a 90 percent discount on token inference compared to top-tier proprietary models.
"Concentrated power fails. Distributed intelligence wins."
- David Sacks, All-In
The race between open and closed models is ultimately running into physical power limits. State regulators are stepping in to protect regional grids, with Texas Governor Greg Abbott ordering audits on data center power connections to prevent blackouts. To bypass four-year grid connection delays, developers are stripping turbine engines off retired private jets to generate off-grid electricity. On This Week in Startups, Grit Robotics CEO Punit Puri explained that robotic automation is now mandatory to build utility-scale solar farms fast enough to meet AI data center timelines.
"Automation will decide which data centers actually get powered."
- Jason Calacanis, This Week in Startups
To fuel this expansion without wrecking corporate balance sheets, Wall Street is turning compute hardware into a new debt asset class. Nvidia has partnered with BlackRock, KKR, and Goldman Sachs to structure a $500 billion private credit framework. Lenders finance graphics processors directly for data center operators, securing loans against future token revenue streams. By treating chips like commercial real estate, private credit fills the funding gap that commercial banks refuse to back.
Silicon Valley's next battle will be settled in power grids and courtrooms.