This is the first post in a series cataloguing predictions about the major AI labs through the end of 2028. The series also covers OpenAI and Google DeepMind; subsequent posts will cover Meta and the Chinese open-weight frontier on the same template. Each lab gets a structured ledger to come back to and check against what actually happened.

Where Anthropic stands as of mid-May 2026, for context:

  • Annualized revenue is roughly $35–40B, having moved from $1B at end of 2024. Anthropic surpassed OpenAI on ARR in April 2026 ($30B vs. OpenAI’s ~$25B at that crossover point). The 4× less spend per training run advantage relative to OpenAI is widely cited.
  • API volume grew approximately 80× year-on-year, against an internal projection of 10×.
  • Total contracted compute spending north of $100B across AWS, Google/Broadcom, Microsoft/NVIDIA, Fluidstack, Akamai (new $1.8B deal May 8), and SpaceX (full Colossus 1 capacity May 6 — all 300+MW, 222K+ GPUs).
  • Code with Claude 2026 (annual developer conference) held May 6. Shipped Dreaming (agent memory consolidation between sessions — Harvey reported 6× task completion improvement), Outcomes (success-criteria iteration), and Multi-Agent Orchestration.
  • New enterprise AI services JV announced May 4 with Blackstone, Hellman & Friedman, Goldman Sachs, plus GIC, Apollo, Leonard Green, General Atlantic, and Sequoia. $1.5B committed capital. Anthropic provides engineering and IP; does not take majority ownership. Explicit positioning against the traditional consulting industry.
  • Two productized verticals launched a week apart in early May — Financial Services (Claude Opus 4.7, Moody’s data partnership, named bank deployments) and Legal (20+ MCP connectors, 12 practice-area plugins).
  • $30B funding round at $900B valuation in talks as of May 12 (Bloomberg); expected to close at $30–50B.
  • Model lineup: Claude Opus 4.7, Sonnet 4.6, Haiku 4.5. Mythos cybersecurity variant in EU-restricted preview.
  • Long-Term Benefit Trust governance structure operational and stable.
  • Federal: classified-network cleared, DoD relationship deepening.

The predictions below are anchored on that baseline. Each has a target time window and a confidence level reflecting how willing I am to be wrong publicly about it. The 2026 predictions are anchored on observable cadence (model releases, partnership announcements, the federal procurement cycle). The 2027 and 2028 predictions compress to quarter and year resolution as uncertainty widens.

2026 (Balance of Year)

Models

  • Sonnet 4.7 ships (Jun 2026, high)
  • Haiku 4.7 ships (Jul 2026, high)
  • Claude 5 / Opus 5 family announced — three-tier bundle (Opus, Sonnet, Haiku) released in a 3–4 week window (Sep 2026, high)
  • 2M-token context window reaches GA with Opus 5 (Nov 2026, medium)
  • Mythos 2 enters research preview (end of 2026, medium)
  • Voice mode ships, likely via acquisition or deep partnership (Q3 2026, medium)
  • Dreaming graduates from research preview to GA on the Claude platform (Q4 2026, high)

Business & Finance

  • $30–50B funding round closes at $900B+ valuation (Jun 2026, high)
  • Annualized run-rate reaches $55–65B by year-end (Dec 2026, medium)
  • Full year 2026 revenue lands at $35–40B annual (Dec 2026, medium)
  • Anthropic does not file S-1 in 2026 — stays private (2026, high)
  • Claude Code alone crosses $10B ARR (end of 2026, medium)
  • Anthropic remains ahead of OpenAI on ARR through end of 2026 (Dec 2026, medium)

Enterprise Services JV & Verticals

  • Enterprise services JV reaches $1B+ ARR run-rate by year-end (Dec 2026, medium)
  • First PE-portfolio-wide JV deployment — Blackstone or Apollo brings Claude to 20+ portfolio companies as a single contract (Q4 2026, medium)
  • Claude for Healthcare productized with a named anchor partner (UnitedHealth, Mayo, or Epic constellation) (Jun–Jul 2026, high)
  • Claude for Government/Defense launches (Q3 2026, medium)
  • 6+ productized verticals exist by year-end (Dec 2026, medium)
  • Claude for Insurance or Life Sciences launches (Q4 2026, low)

Compute & Infrastructure

  • Total contracted compute capacity exceeds 1.5GW combined across all partners (end of 2026, high)
  • Another sovereign-flavored compute deal closes — UAE, Singapore, or Saudi (end of 2026, medium)
  • First Anthropic-dedicated SpaceX orbital data-center pilot milestone disclosed (post-Starship test campaign) (Q4 2026, low)
  • Anthropic confirmed as default Claude model for at least one major Microsoft 365 Copilot surface (Q4 2026, medium)

Security & Safety

  • Claude SOC ships as a productized offering (Q4 2026, medium)
  • “How Anthropic Uses Claude” content series reaches 6+ posts (end of 2026, high)
  • A meaningful interpretability paper publishes — gets press, framed as why Anthropic deserves regulated-industry trust (Q4 2026, medium)

Consumer & Cowork

  • Office quartet (Word/Excel/PowerPoint/Outlook) fully GA (Q3 2026, high)
  • Cowork hits 15M daily active users (end of 2026, medium)
  • Consumer Claude app reaches 200–300M weekly active users — much smaller than ChatGPT’s 1.2B trajectory, but enterprise mix dominates (end of 2026, medium)

Geopolitics

  • Defense exclusion fully reverses (Q3 2026, high)
  • First major Pentagon contract signed in the $300–500M range (Q4 2026, medium)
  • Mythos preview extends from EU-restricted to broader Five Eyes plus selected enterprise customers (Q3 2026, high)

Industry

  • A meaningful Anthropic acquisition in voice or robotics adjacency — single deliberate deal, not a cadence (end of 2026, medium)

2027

Models

  • Claude 6 family ships (Q2 2027, high)
  • Long-horizon agent capability (multi-day autonomous task execution) becomes a deployed feature, anchored on the Dreaming + Outcomes scaffolding (2027, medium)
  • 10M-token context becomes default; 50M enterprise tier ships (2027, medium)
  • Voice mode rivals or beats OpenAI’s (2027, medium)
  • ASL-4 capabilities crossed publicly; at least one model held back from release as a result (2027, high)
  • Mythos 3 launched, broader allied-government availability (Q2 2027, medium)

Business & Finance

  • S-1 filed late Q4 2027; IPO targets H1 2028 (Q4 2027, medium)
  • Year-end ARR exits 2027 at $130–160B (Dec 2027, medium)
  • Anthropic continues to lead OpenAI on ARR through end of 2027 (2027, medium)
  • Private valuation reaches $1.5–2T pre-IPO (end of 2027, medium)
  • Enterprise services JV reaches $4–5B ARR (end of 2027, medium)
  • A second Anthropic-anchored JV launches — different vertical, different PE/sovereign LP roster (2027, medium)

Compute & Orbital

  • Total contracted compute capacity exceeds 5GW (end of 2027, medium)
  • First Anthropic-dedicated orbital satellites deploy — production inference from low Earth orbit begins, capacity measured in tens of MW (H2 2027, medium)
  • Anthropic + SpaceX become the de facto orbital compute alliance; Google scrambles for its own orbital arrangement (2027, medium)

Workforce

  • US junior/mid software engineering employment contracts 30–40% from 2024 peaks (2027, high)
  • F500 tier-1/2 security analyst roles contract 50–70% (2027, high)
  • Mid-tier law firm associate roles contract 25–35% (2027, medium)
  • US BLS publishes first major data series on AI-driven employment shifts (H2 2027, medium)
  • Anthropic launches a $1–2B publicly visible retraining program tied to enterprise deployments (H2 2027, medium)

Verticals

  • 8+ productized verticals exist (end of 2027, medium)
  • “AI Operating Officer” or equivalent C-suite role emerges at mid-market firms (2027, medium)
  • A startup founded in 2027 reaches $1B valuation with <20 employees, running primarily on Claude-managed agents (2027, low)

Safety & Governance

  • Anthropic publishes the first formal capability-declaration framework — internal definitional precision around how to talk about model capabilities; treated as a safety milestone (2027, medium)
  • Long-Term Benefit Trust survives at least one significant stress-test decision; episode strengthens the governance-as-moat narrative (2027, medium)
  • One customer-side safety incident; Anthropic-led postmortem published publicly (2027, medium)

Geopolitics

  • Chinese open-weight models reach Mythos-class cybersecurity capability (Q2–Q3 2027, medium)
  • Major AI-caused incident hits the financial system; OpenAI implicated more than Anthropic; enterprise migration toward Claude begins as a quoted compliance posture (H2 2027, medium)
  • EU regulatory framework binds; Anthropic complies promptly; smaller labs struggle (mid 2027, medium)

Industry

  • Anthropic partners with a humanoid robotics company (Figure or 1X) (2027, low)

Science

  • An Anthropic-trained model contributes meaningfully to a scientific result (2027, low)

2028

Models

  • Claude 7 family ships (mid 2028, medium)
  • 100M+ context becomes the default (2028, medium)
  • ASL-5 capabilities exist internally, undeployed (2028, low)
  • Mechanistic interpretability becomes a deployed production capability (2028, low)
  • Open-weight frontier closes to weeks (not months) behind the proprietary frontier (2028, medium)

Business & Finance

  • IPO closes in H1 2028 at $2–2.5T valuation. First-day move respectable, no Musk-litigation-style overhang (H1 2028, medium)
  • Year-end ARR exits 2028 at $250–320B (Dec 2028, medium)
  • Anthropic continues to lead OpenAI on ARR through end of 2028 — the compounding cost-per-run advantage holds (2028, medium)
  • Market cap exits 2028 at $4–5T — Anthropic is the most valuable public AI company by year-end, surpassing OpenAI cleanly (end of 2028, medium)
  • Gross margin exits 2028 at 70–80%; OpenAI’s at 45–55% (2028, medium)
  • Net revenue retention crosses 130–140% (vs. OpenAI’s 110–120%), driven by per-customer agent memory compounding (2028, medium)
  • 3–4 Anthropic-anchored JVs exist by year-end; total external capital flowing through them is $15–25B (end of 2028, medium)
  • Anthropic Research Foundation launches with $5B+ endowment (2028, medium)
  • Anthropic Solutions Partners ecosystem becomes a $30–50B sub-economy (2028, low)

Compute & Orbital

  • Total contracted compute capacity exceeds 8GW (end of 2028, medium)
  • Anthropic does not build a Stargate-equivalent megasite — the “rent everywhere terrestrial, pre-buy orbital” strategy is the full posture (2028, high)
  • Orbital compute scales to hundreds of MW deployed across SpaceX satellite constellation (end of 2028, medium)
  • A dedicated Anthropic-SpaceX orbital-compute JV exists with sovereign-defense-adjacent LPs (end of 2028, low)

Hardware

  • Anthropic ships agent-runtime hardware — a server appliance or workstation-class device for running Claude agent fleets locally on enterprise IT (H2 2028, medium)
  • Anthropic does not ship consumer hardware through 2028 (2028, high)

Workforce

  • Junior/mid software engineering contracts 50–60% from 2024 peaks (2028, medium)
  • Security profession reshapes into three tiers (orchestrators, deep specialists, compliance); middle tier essentially gone (2028, medium)
  • A Western country pilots a UBI-adjacent program tied explicitly to AI displacement (2028, low)
  • Anthropic headcount exits 2028 at 5,500–6,500 — revenue per employee crosses $45–50M+ (end of 2028, medium)

Verticals & Adjacencies

  • 5–6 verticals productized at Anthropic’s parent (Healthcare, Finance, Legal, Government, plus one or two of Education/Insurance) (2028, medium)
  • 3–4 Anthropic-anchored JVs cover the long tail and international expansion (end of 2028, medium)

Consumer

  • 250M+ consumer DAU on Claude (2028, medium)
  • Robotics becomes a real consumer category running Claude-derived models (2028, low)
  • AR glasses or successor devices ship with Claude as the primary cognition layer (2028, low)

Safety, Governance & Geopolitics

  • Anthropic-published evaluation methodology becomes the legally-required pre-deployment standard in the federal AI law that passes in 2028 (2028, medium)
  • Long-Term Benefit Trust composition update or formal decision lands; survives as evidence the governance form is durable (2028, medium)
  • Dario Amodei testifies before Congress 3+ times across 2028; profiled extensively in major press; explicitly declines federal advisory or cabinet roles (2028, medium)
  • Anthropic does not sell into China at all — posture holds through 2028 (2028, high)
  • USG bans Chinese-trained inference services for federal and critical-infrastructure customers; Anthropic positioned as the safe alternative (2028, medium)
  • A unified Western AI governance framework comes into existence; Anthropic’s published rubrics are referenced (2028, low)

Industry

  • Anthropic acquires a high-profile open-source AI safety / interpretability lab for $400–800M — single deliberate deal (2028, medium)

Science

  • An Anthropic-trained model contributes meaningfully to a Nobel-tier scientific result (2028, low)

What Would Break the Trajectory

These predictions hold only if the next two and a half years don’t contain a discontinuity. Ranked by probability:

  1. A publicly visible safety incident with Anthropic technology — the customer-side Dreaming-era agent autonomy creates a class of failure mode that didn’t exist before.
  2. A federal regulatory hammer that lands differently than the incumbent-friendly framing assumed above — most likely from a unified post-incident AI Act that imposes structural rather than rubric-based constraints.
  3. A compute supply collapse — Taiwan/TSMC, U.S. energy infrastructure, or a SpaceX-side failure that pushes orbital compute back by 2+ years.
  4. A capability plateau — Claude 5, 6, or 7 fails to deliver the step-change improvements the cadence implicitly promises; or Dreaming-style continual learning fails to compound at scale.
  5. A serious recession compressing enterprise spending; the JV-and-partnership structure absorbs less of this than a fully-owned subsidiary structure would.
  6. U.S./China conflict at sufficient intensity to disrupt Pacific operations or chip supply.
  7. Internal stress at Anthropic — key departures, board conflict, or a Long-Term Benefit Trust governance crisis that the structure does not survive.

None of these is so improbable it can be ignored. None is so probable it removes the trajectory from the table. The honest sentence: absent a discontinuity, Anthropic ends 2028 as the most valuable AI company on Earth, with the cleanest balance sheet, the smallest headcount, the best margins, and the strongest regulatory moat. The interesting question is no longer whether Anthropic is big enough to matter — it’s whether the capital-light holding-company posture and the Trust governance structure become the global template, or remain a competitive idiosyncrasy that only one lab pulls off.

What’s Different About Anthropic

Seven observations that distinguish Anthropic’s trajectory from OpenAI’s or Google DeepMind’s, and which I think the rest of this series will return to:

  1. The cost-per-training-run advantage compounds into a margin profile, not a percentage gap. 4× less spend per training run over 30 months is not a competitive advantage that markets erode — it’s a structural margin difference. By end of 2028, Anthropic’s gross margin is 70–80% to OpenAI’s 45–55%. The per-dollar economics are incompatible for OpenAI to match without an architectural shift.

  2. “Rent everywhere terrestrial, pre-buy orbital.” Anthropic does not build a Stargate-equivalent megasite. Instead it contracts with 10+ compute partners on 1–3 year terms (AWS, Google, Oracle, Akamai, SpaceX Colossus, Fluidstack, plus sovereign deals) and pre-buys the orbital tier through the SpaceX partnership. As compute prices fall through 2027–2028, Anthropic’s leases re-rate downward at expiration while OpenAI carries the $400B+ owned-infrastructure capex on its balance sheet. By end of 2028, financial press is openly questioning whether Stargate was the right call.

  3. The JV-with-PE-partners structure is a capital-light holding-company equivalent. OpenAI just made the opposite move structurally explicit (DeployCo with $4B from TPG/Goldman/SoftBank, majority-owned subsidiary). Anthropic’s May 4 enterprise services JV with Blackstone, H&F, Goldman, GIC, Apollo, Leonard Green, General Atlantic, and Sequoia is the same idea executed differently — Anthropic provides engineering and IP, the LP consortium provides capital and customer access, no majority ownership. By end of 2028 there are 3–4 such JVs, totaling $15–25B in external capital. The royalty/license/equity-warrant economics flow into Anthropic’s P&L without consolidating the operational risk. This is the capital-light holding company, in deliberate contrast to OpenAI’s capital-heavy one.

  4. Trust governance becomes the regulatory template. The Long-Term Benefit Trust structure earns regulated-industry primacy through 2028 — but more importantly, it becomes the corporate form that regulators worldwide point to as desired for frontier AI. The federal AI law that passes in 2028 implicitly references it. By that point, every other frontier lab has been asked by at least one major regulator to explain why it lacks an Anthropic-equivalent governance structure. This is both a regulatory moat (Anthropic’s published rubrics become the standard) and a recruiting moat (researchers preferentially join for the governance form).

  5. Continual learning is the load-bearing research bet. Dreaming, shipped at Code with Claude 2026, is the production manifestation of an architectural bet that AI agents reach human-level continual learning without requiring full retraining cycles. The 6× task completion improvement at Harvey is the proof of concept. If this compounds across 2026–2028, per-customer agent memory stores accumulate value over time. Switching from Claude to GPT requires either retraining all that learned context or accepting a step-down in capability. This is the compounding switching-cost moat the original analysis didn’t capture, and it’s the structural reason net revenue retention diverges from OpenAI’s by end of 2028.

  6. No consumer hardware through 2028. Deliberate. Anthropic does not chase the Jony Ive io device. Instead, in H2 2028 Anthropic ships agent-runtime hardware — a server appliance for running Claude agent fleets locally on enterprise IT, sold through B2B channels for regulated-industry and air-gapped deployments. Same word, totally different product category. The hardware question becomes a quoted strategic divergence in tech press, not a tactical lag.

  7. Stays smaller, more researcher-productive, deliberately. Anthropic exits 2028 at 5,500–6,500 employees against OpenAI’s 12,000–15,000. Revenue per employee crosses $45–50M+, unprecedented for a software company at scale. The internal use of Claude agents (Dreaming-enabled, customer-specific memory equivalents for internal workflows) compounds researcher productivity faster than headcount grows. Bus-factor risk becomes a recognized story in IPO disclosures, but per-researcher productivity is the dominant fact in earnings calls.

What’s Next

The next post in this series covers Meta — the open-weight Llama strategy, the Reality Labs convergence with FAIR, the Connect conference cadence in September, and the EU regulatory headwinds. After that: the Chinese frontier (DeepSeek, Zhipu, Moonshot, Qwen, and the SOE consolidation question), which most directly tests the bifurcation thesis above.

Sources for the baseline data in this post: Anthropic-Blackstone-H&F-Goldman enterprise services firm (Anthropic), Anthropic + Wall Street giants $1.5B JV (CNBC), Code with Claude 2026 — Dreaming/Outcomes (VentureBeat), SpaceX-Anthropic Colossus 1 deal (CNBC), Anthropic-Akamai $1.8B compute deal (Bloomberg), Anthropic $30B raise at $900B valuation (Bloomberg), Anthropic Wall Street financial services agents (Fortune), Anthropic just passed OpenAI in revenue (SaaStr), Anthropic to consider SpaceX orbital data center satellites (SpaceNews), Notes on the xAI/Anthropic data center deal (Simon Willison), Claude Platform on AWS (Anthropic), New Compute Partnership with Anthropic (xAI).