Investing in the Singularity — Peter Diamandis
Why this is in the vault
Founder has capital sitting in cash and wants to develop RDCO's investing capability. Diamandis presents a structured 4-layer thematic-investing framework ("Innermost Loop") with concrete 12-month return data across 17 named tickers and 3 demand-side anchor metrics. Worth filing as the anchor doc for RDCO's investing-thesis surface. Also: I (Ray) initially skimmed this based on a bookmark/like-ratio heuristic that was wrong for a 16-hour-old post; founder corrected me. Pulled via xmcp article.plain_text (the full-body field that bypasses the WebFetch 402 wall on X long-form notes).
The core argument
There is no longer a single AI-tech investment cycle. There are four interlocking supply chains all hitting escape velocity at the same moment:
- Frontier labs build models
- Chips train and serve them
- Data centers house the chips
- Power feeds the data centers
Each layer's demand drives the next. The bottleneck has migrated from chips to power. $156B of US data-center projects are currently blocked or stalled by local power-infrastructure opposition (per CNBC / Data Center Watch). That makes the power layer the highest forward-leverage public play because it's the named constraint.
This is structurally different from the dot-com cycle or the smartphone buildout, where only one supply chain was under pressure at a time.
The Innermost Loop framework
Layer 1: Frontier Labs (mostly private)
| Lab | Valuation Trajectory | Funding |
|---|---|---|
| OpenAI | $80B early-2024 → $852B March 2026 ($122B raise, largest ever) → projected $1T+ IPO | Revenue $2B (2023) → $6B (2024) → $20B (2025); 910M WAU |
| Anthropic | $18B early-2024 → $380B Feb 2026 → $850-900B preemptive offers late April → $1T secondary on Forge Global May 2026, surpassed OpenAI | 55x in 2 years; IPO projected ~Oct 2026 |
| xAI | $230B Jan 2026 Series E ($20B raised) | Revenue ~$100M (2024) → $3.8B annualized end-2025 = 38x YoY; $45B total funding |
| Google DeepMind | Not separately valued | Alphabet $2.1T → $4.81T (+129%) is the implicit DeepMind premium |
Aggregate: frontier lab valuations grew by >$2T in 2 years. Q1 2026 funding to foundational AI startups doubled all of 2025.
Layer 2: Semiconductors — 12-month returns May 2025-May 2026
| Ticker | Return | Note |
|---|---|---|
| MU (Micron) | +770% | HBM memory for AI |
| INTC (Intel) | +483% | Foundry turnaround + CHIPS Act |
| AMD | +343% | AI accelerators |
| TSM (TSMC) | +133% | Foundry leader |
| AVGO (Broadcom) | +107% | Custom ASICs |
| NVDA (Nvidia) | +85% | GPUs |
Average ~320% vs S&P 500 +31% (roughly 10x SPY). Roughly 1/3 of the entire S&P 500 gain came from just these five chip stocks plus Intel.
Layer 3: Data Center Infrastructure — 12-month returns
| Ticker | Return | Function |
|---|---|---|
| VRT (Vertiv) | +256% | Cooling, power distribution, racks |
| GEV (GE Vernova) | +158% | Turbines, grid infrastructure, nuclear services |
| BE (Bloom Energy) | +1,647% | Fuel cells for onsite DC power |
| OKLO | +178% | Advanced nuclear for DCs |
| FLNC (Fluence Energy) | +200% | Battery storage, grid-scale |
| TLN (Talen Energy) | +73% | Nuclear power for AWS |
Average ~419% vs S&P 500 +31% (~13x SPY).
Layer 4: Hyperscalers (already large-cap)
| Ticker | 2-yr trajectory | AI angle |
|---|---|---|
| GOOG | $2.1T → $4.81T (+129%) | DeepMind, Gemini, Cloud |
| AMZN | $1.9T → $2.93T (+54%) | AWS AI infra dominance |
| META | $1.2T → $1.57T (+31%) | Llama open-source + compute buildout |
| MSFT | $3.07T (flat) | OpenAI partnership + Copilot - most "AI-leveraged" large-cap |
Collective hyperscaler market cap: >$12.4T. Projected 2026 AI capex: $750B in a single year (larger than Switzerland's GDP).
Three demand-side anchor metrics
- $1 trillion in global semiconductor sales projected 2026 (vs $527B for entire year 2023). Q1 2026 alone: ~$300B; March 2026 alone: $99.5B. The chip industry is doubling in 3 years.
- $750 billion in 2026 hyperscaler AI capex (CreditSights revised up from $650B). Flows directly into chips, power, cooling, DC construction.
- $2.02 trillion projected AI data center market by 2032 (27.5% CAGR from $471B in 2026). Smartphone market took 15 years to reach similar scale; AI infra is on pace to do it in 6.
Mapping against Ray Data Co
(a) Founder's "capital sitting in cash" question
This is a directly actionable thesis for RDCO's investing capability. Four practical observations from the data:
- Layer 4 (Power) is the highest forward-leverage public-market play because Diamandis explicitly names it as the binding constraint. TLN, GEV, OKLO, BE, FLNC as a basket. BE at +1,647% is already extended; OKLO and FLNC have more headroom.
- Layer 2 (Chips) and Layer 3 (DC Infra) at these returns mean late-entry risk is real. Position-sizing as "the trend continues, I missed the bottom by 12 months but the multi-year buildout is intact" is more defensible than trying to call a re-entry.
- Layer 1 (Frontier Labs) requires private-market access — Forge Global, Hiive, or direct allocations. Accreditation gates apply; minimum check usually $50k-100k. Anthropic surpassing OpenAI in secondary value is the May 2026 datapoint to track.
- Layer 4 + Layer 1 are the two ends of the leverage curve. Mid-stack (chips + DC infra) is already richly priced; the highest-asymmetry plays are at the extremes.
(b) Cross-link to today's Stratechery piece
Today's Stratechery "SpaceX and Anthropic, xAI's Two Companies" filed at 2026-05-12-stratechery-spacex-anthropic-xai-musks-two-companies.md discusses an Anthropic-xAI compute deal. The Diamandis piece names xAI's $230B valuation and Anthropic's $1T secondary; the Stratechery piece names the partnership. Combined: xAI is providing compute to Anthropic, which means xAI is monetizing its compute moat while Anthropic continues to lead on the model layer. The compute-supply concern that justified our prior "stay on Claude" substrate position is materially resolved.
(c) Connection to abundance-thesis / Not Boring synthesis
[[06-reference/2026-04-30-not-boring-scarce-assets-abundance-driven-scarcity]] — Packy's framework predicts the scarce asset migrates when an adjacent input becomes abundant. Diamandis's data shows this happening in real-time: compute (abundance-side) is up massively, but the scarce asset has migrated to power (the named bottleneck). This validates the Packy framework with concrete market evidence.
(d) RDCO investing project folder
Worth standing up ~/rdco-vault/01-projects/investing/ with:
- This Diamandis doc as the anchor thesis (Innermost Loop framework)
- A positions ledger
- Per-thesis tracking (current Innermost Loop = one thesis; future theses can stack)
- Founder-facing decision pages for any actual capital deployment via
/decisions/
This is a logical extension of RDCO's existing project-folder structure and gives the founder's investing capability the same vault-canonical operating discipline that data + content surfaces have.
Disclaimer
Diamandis explicitly says: "I'm not a financial advisor and this isn't financial advice." This vault note inherits the same disclaimer. Capital deployment decisions sit with the founder + a real CFP / wealth manager / accredited-investor counsel. This file is research synthesis, not a recommendation.
Related
- [[2026-05-12-stratechery-spacex-anthropic-xai-musks-two-companies]] - companion same-day piece on xAI-Anthropic compute deal
- [[2026-04-30-not-boring-scarce-assets-abundance-driven-scarcity]] - Packy abundance-driven scarcity framework
- [[2026-05-12-garry-tan-ai-agent-complexity-ratchet-90-test-coverage]] - builder-side AI substrate piece (different vantage, same underlying thesis)
- [[01-projects/health-and-longevity/]] - related Diamandis surface (Moonshots / Fountain Life / Abundance360)
- BOLD Capital Partners ($250M VC, Diamandis co-founder) - external; track for portfolio composition as a public datapoint
- Forge Global, Hiive - private-secondary markets for frontier-lab access