What OpenAI and Anthropic Think Happens Next With AI

AI Daily Brief (Nathan Labenz, beehiiv newsletter) · email · 2026-06-05 Reader 🖥️

AI Alignment & Safety AI Regulation & Governance (External)Code Was Never the Bottleneck Recursive Self-Improvement

The leading AI labs and the US federal government are entering an active negotiation over the political settlement of AI — equity stakes, governance frameworks, and pause discourse are three faces of the same bargaining process, premised on a shared (but largely unargued) belief that recursive self-improvement is already underway.

practical · mixed — A newsletter recap that reads as expository on the surface but is functionally practical/argumentative: Labenz is positioning a senior tech-leader audience to interpret the simultaneous Anthropic + OpenAI policy drops, the NOTUS equity-stake bombshell, and the Obernolte-Trahan bill as a single, coordinated negotiation over who governs AI labs. The headlines section frames the stakes; the main story carries the argument.

Structure

Part	Role
Headline: US Government Eyes Equity Stakes in AI Labs (NOTUS report)	Frames the political-economic stakes the rest of the issue interprets
Adjacent headlines: Dreaming memory upgrade, TSMC supply, Chesky lab, GPT-5.6/Mythos timing	Context — shows the capability and supply-chain backdrop against which the political negotiation is happening
Main story: side-by-side reading of Anthropic 'When AI Builds Itself' and OpenAI 'Democratic Governance of Frontier AI'	Argumentative core — both labs treat RSI as live and address governments, not each other
Anthropic's pause section + critic responses (Soares, Quinn, Depue, Sacks, Gurley)	Counter-reading — surfaces the cynical interpretation (moat-building, nationalization bait, deity-midwifery)
OpenAI's reverse federalism + CAISI civilian framing	Evidence — OpenAI is specifying the institutional architecture it wants government to adopt
Obernolte-Trahan bipartisan bill (269 pages, preemption fight)	Evidence — Congress is moving in parallel, with state preemption as the load-bearing contested clause

Key terms

Recursive self-improvement (RSI) Recursive Self-Improvement
AI systems that build their own successors — used here as a present or near-present reality, not a sci-fi endpoint; both labs' papers are described as starting from this premise
Voluntarily ceding shares
Labenz uses this in scare quotes — the labs would 'voluntarily' transfer equity to the federal government, with unclear consideration; the word voluntary is doing political work
AI dividend AI Regulation & Governance (External)
Returns from government-held lab equity redistributed to American households — Altman's framing for how AI's economic benefits get broadly shared
Reverse federalism AI Regulation & Governance (External)
OpenAI's proposal to scale up the best state AI regulations into federal policy rather than preempting state law
Dr. Frankenstein Theory AI Alignment & Safety
Bill Gurley's frame (via All In): Anthropic believes it is not writing software but 'midwifing a deity' that will then distribute resources to humans based on AI judgment
Amdahl's Law (applied) Code Was Never the Bottleneck
Speeding up one part of a process just shifts the bottleneck; here, AI cheapens ideas so organizational capacity becomes the binding constraint
CAISI AI Regulation & Governance (External)
Center for AI Standards and Innovation — OpenAI wants it to remain a civilian, non-classified body that runs safety testing, not a de facto licensing regime via NSA-routed testing as in the recent EO

Propositions

explicitdevelopedThe federal government is actively considering acquiring equity stakes in frontier AI labs, and Sam Altman initiated this conversation directly with the president in early 2025.conf: high
extends ←AI Companies Are Hiring More · p1 — The government-equity conversation has progressed from active consideration to a concrete OpenAI proposal: a 5% stake (~$42B) in a sovereign wealth fund, with peer labs floated as contributors.
implicitWhat is actually being negotiated is not safety vs. capability but the political settlement of who owns and governs frontier AI — equity, governance frameworks, and pause discourse are three faces of the same negotiation.conf: high
explicitcorroboratedBoth OpenAI and Anthropic now treat recursive self-improvement as a present reality, not a future risk.conf: high
supports ←Does code quality still matter? · p11 — Both describe recursive self-improvement (models/generations learning from prior generations' experience) as a live mechanism rather than pure science fiction; Seemann's LLM-to-LLM 'incident reports' idea is a specific coding-domain instance of the general pattern.
explicitcorroboratedAnthropic's call for a slowdown is functionally compatible with continuing to build, because they explicitly refuse to pause unilaterally.conf: high
supports ←No, Anthropic did not call for a pause on AI development · p3 — Marcus independently reaches Labenz's reading: Anthropic's statement is built to signal safety-consciousness while remaining fully compatible with continuing to race.
explicitAnthropic's pause discourse functions as moat-building and/or nationalization bait, regardless of intent.conf: medium
explicitIn the most likely near-term scenario, the binding constraint on AI-accelerated organizations is organizational capacity to pursue ideas, not idea generation itself.conf: high
extendsThe Orchestration Tax is You · p2 — Generalizes Osmani's individual judgement-throughput constraint to the organizational level: capacity to pursue ideas, not idea generation, binds AI-accelerated organizations.
implicitThe labs are co-authoring the regulatory regime that will govern them, not merely being subject to it.conf: high
refinesAI Companies Aren't Evil. But They Are Reckless. · p8 — Shifts the picture from industry lobbying to prevent regulation to labs actively co-authoring the regulatory regime that will govern them.
explicitCritics from across the political spectrum (Sanders, Bannon, Sacks, Gurley) converge on hostility to lab-led AI governance, but diverge sharply on the remedy.conf: high
explicitcorroboratedTiming of the next model release (GPT-5.6 vs. Mythos) is a stronger signal about relative capability than the benchmarks themselves will be.conf: medium
supports ←The new GPT-5.6 family: Luna, Terra, Sol · p5 — Supports the premise underlying p9 — that benchmarks are weak, gameable capability signals — by showing a lab curating which benchmark it leads with and discrediting (via a same-week audit article) the one it lost; it is evidence for the premise, not for p9's release-timing claim itself.
explicitFederal preemption of state AI law is the load-bearing political fight inside the Obernolte-Trahan bill.conf: high
implicitThe labs' acknowledged worldview — that they are building systems that will eventually 'distribute resources to humans based on AI judgment derived from human values' — is itself the political problem critics are reacting to.conf: high

Arguments

The simultaneous OpenAI and Anthropic policy papers are best read as the labs' opening positions in a negotiation with government, not as safety statements addressed to each other. strength: high

Explicit premises:

Both papers start from the same RSI premise
Neither lab engages the other's arguments — both address governments, regulators, and the public
OpenAI's paper is a direct response to the recent White House EO
Anthropic commits to convening policymakers, researchers, and civil society

Implicit premises:

When two competitors release coordinated policy positions in the same week, they are bidding into the same institutional process
Policy papers from for-profit labs are strategic artifacts, not neutral analysis
The audience Labenz is briefing (senior tech leaders) needs to read these as negotiation moves to interpret them correctly

Inferences:

If the labs are negotiating, then the natural question is what they are conceding and what they are extracting — neither paper says
The NOTUS equity-stake story is what the labs may be implicitly trading governance frameworks against

Anthropic's pause language is at minimum strategically convenient, regardless of sincerity. strength: medium

Explicit premises:

Anthropic says a slowdown would be good
Anthropic refuses to slow unilaterally
The call landed right after Anthropic filed its S-1
Anthropic continues building the very capability (RSI) it warns about

Implicit premises:

Calls for industry-wide pause that one cannot honor unilaterally function as competitive constraint requests on rivals
An IPO-stage company asking for regulation of frontier development is asking for incumbency protection

Inferences:

Even if Anthropic's safety beliefs are sincere, the material effect of their position is moat-building
Sincerity and strategic advantage are not mutually exclusive

Equity stakes, not taxation, are the mechanism Altman prefers because they bind the government's interests to lab survival. strength: high

Explicit premises:

Altman pitched equity to the president directly
Bernie Sanders and Steve Bannon converge on a 50% tax instead
Critics from center and right say taxation is the correct mechanism
It is unclear whether the government would pay for the shares

Implicit premises:

A government with equity in a lab has an interest in the lab continuing to exist and succeed
A government that taxes a lab has an interest in extraction, which is compatible with breaking the lab up or constraining it
Altman is choosing the structure that makes the state a stakeholder rather than an adversary

Inferences:

If equity is adopted, the federal government becomes structurally aligned with the incumbent labs and against new entrants
The 'AI dividend' framing is the public-facing cover for what is functionally a regulatory-capture instrument

Organizational capacity, not intelligence, will be the binding constraint of the next phase. strength: high

Explicit premises:

Anthropic's scenario two (100-person companies doing the work of 100,000) is judged most likely
Amdahl's Law: speeding one part shifts the bottleneck
Aaron Levie: AI lowers idea cost dramatically; the binding constraint becomes execution capacity

Implicit premises:

Idea generation and execution capacity are separable
Existing organizational forms (and the humans inside them) cannot scale alongside AI-accelerated ideation

Inferences:

The leadership work shifts from 'find the right idea' to 'pick which AI-generated ideas to pursue and build organizations capable of executing them'
Research taste and judgment become the scarce, premium human skill

Narratives

Sam Altman pitching equity stakes directly to the president in early 2025, framed as a vehicle for an 'AI dividend' to American households
→ Casts Altman as the architect of the equity-stake conversation — supports the implicit proposition that the labs are co-authoring the regulatory regime
Strange political bedfellows: Sanders proposes a 50% government stake via one-time tax, Bannon agrees, while center and right argue for taxation instead of ownership
→ Illustrates that the labs face hostile attention from across the spectrum but with diverging remedies — supports the proposition that critics converge on hostility but diverge on mechanism
Bill Gurley spending 30 days reading everything Anthropic has ever published, then framing the Dr. Frankenstein Theory on All In
→ Lends investor-class credibility to the 'midwifing a deity' critique — supports the proposition that the labs' worldview is itself the political problem
David Sacks's checklist: signs you might be trying to get your AI lab nationalized include comparing your work to nukes, warning RSI ends humanity, and racing ahead anyway
→ Names the political logic by which Anthropic's rhetoric invites the equity-stake conversation — supports the cynical reading of the pause discourse
Arc from 'Claude does the doing' to 'Claude proposes the experiments' to 'Claude chooses which experiments matter'
→ Concretizes the RSI premise — supports both Anthropic's case for urgency and the inference that research taste is the last human moat
TSMC CEO admitting he envies the memory chip industry's 80% margin grabs but won't follow that playbook
→ Illustrates the supply-side constraint Anthropic invokes in its stall scenario — supports the broader claim that capacity, not intelligence, is the binding constraint

Questions addressed

✅ What do the leading labs actually believe is coming next?
Both treat RSI as live; both address government as the relevant audience; OpenAI offers a specific institutional blueprint, Anthropic offers a meditation plus a call to convene
⭕ Is the US federal government about to take equity in frontier labs?
Reported as 'preliminary discussions'; consideration unclear; Anthropic excluded; outcome open
⭕ Is Anthropic's pause call sincere?
Labenz presents both readings without adjudicating; lets Sacks, Quinn, Depue, Gurley, and Soares carry the cynical case
⭕ Who governs whom in the emerging settlement — does the state govern the labs, or do the labs co-author the institutions that govern them?
Implicit throughout but never named — Labenz lets the structural arrangement of the issue (NOTUS + OpenAI blueprint + Anthropic convening commitment + bipartisan bill) do the work
⭕ What is the actual mechanism by which AI-derived value reaches the public?
Three competing answers surface: equity stakes (Altman), one-time tax (Sanders/Bannon), ongoing taxation (center/right) — Labenz does not pick one
✅ Is research taste the last durable human comparative advantage?
Per Anthropic's arc — Claude does, proposes, chooses; taste/judgment named as the residual

Gaps

incompleteLabenz does not name the structural argument — that equity stakes, lab policy papers, and pause discourse are the same negotiation — even though his juxtaposition implies it. A senior leader reading this needs that frame surfaced.
Read next: Read the actual NOTUS Jeff Stein piece, the Anthropic 'When AI Builds Itself' paper, and OpenAI's 'Democratic Governance of Frontier AI' against each other; pair with prior US precedents for government equity (TARP, Operation Warp Speed, In-Q-Tel) to characterize the proposed regime
incompleteAnthropic's exclusion from the equity-stake discussions is mentioned but not interpreted. Why are they out? Strategic refusal? Political disfavor? Different cap-table structure (B-corp, recent S-1)?
Read next: Look into Anthropic's S-1 governance terms; check whether the public-benefit structure complicates federal equity; read coverage of Amodei's White House relationships
incompleteThe equity-vs-tax debate is presented as bedfellows-style political commentary, but the deeper question — whether state equity creates regulatory capture or breaks the incumbents' moat — is not analyzed.
Read next: Read Peter Harrell's thread on taxing vs. owning AI companies (linked); compare with literature on sovereign wealth funds and state-owned enterprise governance failures
incompleteThe piece accepts the RSI premise that both labs put forward without questioning whether the labs have epistemic reasons to overstate it. RSI rhetoric serves Anthropic's pause framing and OpenAI's call for federal coordination — both companies benefit from the premise being treated as live.
Read next: Read critical responses to 'When AI Builds Itself' from Yann LeCun, Gary Marcus, or any AI researcher who disputes the 8x productivity figure or the 80% Claude-authored code claim with primary-source rigor
closed byNo, Anthropic did not call for a pause on AI development — Provides the skeptical counter-reading the gap calls for (explicitly from Gary Marcus): lab safety/pause discourse is self-serving marketing shaped by IPO timing and positional play, giving labs epistemic reasons to overstate their premises.
incompleteThe Obernolte-Trahan bill is described but its preemption clause is not analyzed in light of the state-level laws it would override. What concretely changes in California, New York, Massachusetts AI law if the bill passes?
Read next: Pull the bill text; compare against SB 1047 successors, NY AI bias law, MA pending bills
incompleteLabenz brackets ChatGPT 'Dreaming' as a separate headline but does not connect it to the main story. A persistent-memory ChatGPT changes both the labor-substitution calculus (Anthropic's scenario two) and the surveillance/governance attack surface — relevant to both papers.
Read next: Look at how Anthropic's paper treats persistent agents; read Mark Kreishman's thread on persistent agents linked in the headline
uninformedThe piece does not engage with comparable governance moves in the EU AI Act, UK AISI evolution, or China's algorithm registry — all relevant to whether 'reverse federalism' is novel or imitative.
Read next: Compare OpenAI's blueprint to the EU AI Act's general-purpose AI obligations and the UK AISI's recent remit changes

Closes gaps elsewhere

AI Companies Aren't Evil. But They Are Reckless. · g2 — Directly examines the regulatory-capture risk the essay left unexplored: labs co-authoring the regime that will govern them, government equity entanglement, and cross-spectrum critics of lab-led governance.

What OpenAI and Anthropic Think Happens Next With AI

Structure

Key terms

Propositions

Arguments

Narratives

Questions addressed

Gaps

Closes gaps elsewhere

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