--- title: The marginal dollar at every layer earns less. Except the network. publication: The AI Stack Weekly slug: 2026-W17 issueNumber: 1 isoYear: 2026 isoWeek: 17 publishedAt: '2026-04-25' canonicalUrl: https://brianletort.ai/industry/weekly/2026-W17 pdfUrl: https://brianletort.ai/downloads/ai-stack-weekly-2026-W17.pdf schemaVersion: 2026.05.02 flywheelArc: all-three capitalFlow: - category: Frontier Labs capitalIn: ~$50B capitalInPrior: ~$30B capitalInDirection: up revenueOut: ~$30B revenueOutPrior: ~$25B revenueOutDirection: up burnToRevenue: '0.6' - category: Hyperscaler-Hosted capitalIn: ~$48B capitalInPrior: ~$30B capitalInDirection: up revenueOut: ~$10B revenueOutPrior: ~$8B revenueOutDirection: up burnToRevenue: '0.21' - category: Neoclouds capitalIn: ~$15B capitalInPrior: ~$10B capitalInDirection: up revenueOut: $1.6B revenueOutPrior: $1.1B revenueOutDirection: up burnToRevenue: '0.4' - category: On-Prem / Hybrid capitalIn: ~$42B capitalInPrior: ~$25B capitalInDirection: up revenueOut: Indirect revenueOutPrior: Indirect revenueOutDirection: flat burnToRevenue: n/a levers: - metric: Frontier lab cash position (avg months runway, top 3) current: ~22 mo prior: ~26 mo direction: down threshold: <18 mo triggers re-rating risk - metric: Hyperscaler capex / AI revenue ratio (top 4 weighted) current: ~5.5 prior: ~4.8 direction: up threshold: '>6.0 invites investor pushback at next earnings' - metric: CoreWeave revenue backlog current: $66.8B prior: $15.1B direction: up threshold: Conversion velocity matters more than gross figure - metric: NVIDIA Q-over-Q data center revenue current: $62.3B (Q4 FY26) prior: $57.0B (Q3 FY26) direction: up threshold: null - metric: Open vs closed gap on SWE-Bench Pro (coding) current: Open +0.9 prior: Closed +6 direction: up threshold: Sustained open lead reshapes enterprise procurement - metric: Sovereign AI commitments (count / aggregate $) current: 8 / $80B+ prior: 5 / $50B+ direction: up threshold: null - metric: PJM 2026/27 capacity auction price ($/MW-day) current: $329 prior: $29 direction: up threshold: 11x in 24 months — power is the new binding constraint - metric: Time-to-power, busiest US markets (months) current: 36-48 prior: 30-42 direction: up threshold: null - metric: Cost-per-task, frontier reasoning model current: ~$0.05 prior: ~$0.08 direction: down threshold: null - metric: Custom silicon share of incremental AI compute current: ~30% prior: ~22% direction: up threshold: '>35% materially compresses merchant GPU pricing' predictions: - id: p1-2gw-customer-funded lens: capital confidencePct: 70 deadline: By June 30, 2026 text: At least one frontier lab announces a customer-funded compute commitment greater than 2 GW. - id: p2-f500-on-prem lens: software confidencePct: 60 deadline: By September 30, 2026 text: >- At least one Fortune 500 enterprise discloses an on-prem AI workload greater than $100M annual using open-weight models. - id: p3-capex-revise lens: capital confidencePct: 80 deadline: By October 31, 2026 text: Aggregate 2026 hyperscaler capex revises upward by 10% or more from the $700B baseline. - id: p4-interconnect-outpaces lens: networking confidencePct: 70 deadline: By July 31, 2026 text: >- At least one major colocation or interconnect operator reports cross-connect or interconnect revenue growth outpacing compute capacity revenue growth for two consecutive quarters. - id: p5-neocloud-anchor-loss lens: capital confidencePct: 35 deadline: By September 30, 2026 text: >- At least one neocloud loses an anchor tenant or sees backlog growth turn negative quarter-over-quarter. - id: p6-custom-silicon-35 lens: hardware confidencePct: 55 deadline: By July 31, 2026 text: >- Custom silicon (TPU + Trainium + Maia + MTIA + Granite Rapids AI) reaches 35% of incremental AI compute share, up from ~30% today. predictionsPrior: [] signalScores: - 5 - 4 - 2 - 4 - 5 keyTakeaways: - >- The marginal dollar at every layer of the AI stack earns less than the prior dollar — except the network and interconnect layer, the only place where pricing power compounds rather than compresses. - >- Open weights crossed the closed frontier on coding: DeepSeek V4 (MIT-licensed, frontier-class) plus Kimi K2.6 and GLM-5.1 leading SWE-Bench Pro move the on-prem question from 'can we?' to 'which workload first?' - >- Anthropic committed ~8.5+ GW of forward compute across NVIDIA, Trainium, and TPU — the largest single-counterparty compute commitment ever recorded, deliberately spread across three platforms. - >- Hyperscalers are deploying ~$700B of 2026 capex against ~$120B of AI-attributable revenue — a ratio that gets tested when Microsoft, Google, Meta, and Amazon all print Q1 between April 29 and May 6. - >- The binding constraint is power, packaging, and HBM4, not GPUs: PJM capacity cleared at 11x the prior auction price and time-to-power in the busiest US markets stretched to 36-48 months. - >- Watch the Q1 hyperscaler earnings window (Apr 29 - May 6): higher capex pushes the capex / AI-revenue ratio past the 6.0 threshold; lower is the first sign of ROI re-rating risk. byTheNumbers: - value: ~$700B label: Aggregate 2026 hyperscaler capex against ~$120B of AI-attributable revenue - value: 8.5+ GW label: Anthropic's forward compute commitment across NVIDIA, Trainium, and TPU - value: $66.8B label: CoreWeave revenue backlog, up 4x YoY - value: $329 label: PJM 2026/27 capacity auction $/MW-day — 11x the prior auction's $29 - value: ~30% label: Custom silicon share of incremental AI compute, up from ~22% in three months - value: '58.6' label: Kimi K2.6 on SWE-Bench Pro vs GPT-5.4 at 57.7 — first open lead over closed --- # The marginal dollar at every layer earns less. Except the network. *Issue 01 · Week 17 of 2026 · Published 2026-04-25* ## Executive summary - The marginal dollar at every layer of the AI stack earns less than the prior dollar — except the network and interconnect layer, the only place where pricing power compounds rather than compresses. - Open weights crossed the closed frontier on coding: DeepSeek V4 (MIT-licensed, frontier-class) plus Kimi K2.6 and GLM-5.1 leading SWE-Bench Pro move the on-prem question from 'can we?' to 'which workload first?' - Anthropic committed ~8.5+ GW of forward compute across NVIDIA, Trainium, and TPU — the largest single-counterparty compute commitment ever recorded, deliberately spread across three platforms. - Hyperscalers are deploying ~$700B of 2026 capex against ~$120B of AI-attributable revenue — a ratio that gets tested when Microsoft, Google, Meta, and Amazon all print Q1 between April 29 and May 6. - The binding constraint is power, packaging, and HBM4, not GPUs: PJM capacity cleared at 11x the prior auction price and time-to-power in the busiest US markets stretched to 36-48 months. - Watch the Q1 hyperscaler earnings window (Apr 29 - May 6): higher capex pushes the capex / AI-revenue ratio past the 6.0 threshold; lower is the first sign of ROI re-rating risk. **By the numbers.** - **~$700B** — Aggregate 2026 hyperscaler capex against ~$120B of AI-attributable revenue (Tested when all four hyperscalers print Q1 between April 29 and May 6) - **8.5+ GW** — Anthropic's forward compute commitment across NVIDIA, Trainium, and TPU (The largest single-counterparty compute commitment ever recorded) - **$66.8B** — CoreWeave revenue backlog, up 4x YoY (Includes the new Meta $21B six-year commitment through 2032) - **$329** — PJM 2026/27 capacity auction $/MW-day — 11x the prior auction's $29 (Power is the new binding constraint, not chips, capital, or land) - **~30%** — Custom silicon share of incremental AI compute, up from ~22% in three months (The threshold where merchant-GPU pricing power starts to compress) - **58.6** — Kimi K2.6 on SWE-Bench Pro vs GPT-5.4 at 57.7 — first open lead over closed (The on-prem demand catalyst for the open-weights hypothesis) ## Big Story Capital is still flooding the AI stack, but the marginal dollar earns less than the prior dollar at every layer except one. Hyperscalers are deploying ~$700B of 2026 capex against ~$120B of AI-attributable revenue — a ratio that gets tested when Microsoft, Google, Meta, and Amazon all print Q1 between April 29 and May 6. Frontier labs are committing forward compute at multiples of their disclosed revenue. The on-prem floor moved up sharply this week with DeepSeek V4 (open weights, frontier-class on coding), reshaping enterprise procurement: the question is no longer whether to self-host frontier capability, but which workload to move and on what fabric. The durable winner of the buildout is the network and interconnect layer that connects cloud, neocloud, and on-prem for hybrid AI — the only layer where pricing power compounds rather than compresses. Flywheel arc: `all-three`. ## Software lens - **Apr 22-24.** DeepSeek V4 released — MIT-licensed, 1.6T MoE, 1M context, frontier-class on coding _(HuggingFace, deepseek.com)_ - **Apr 23.** Open-weight models lead closed on SWE-Bench Pro — Kimi K2.6 58.6 and GLM-5.1 58.4 vs GPT-5.4 57.7 and Opus 4.6 57.3 _(Artificial Analysis, HuggingFace model cards)_ - **Apr 21.** Anthropic withholds 'Mythos' flagship on cyber-capability grounds; UK AISI confirms autonomous offensive capability _(anthropic.com, red.anthropic.com, aisi.gov.uk)_ **What this means.** Open weights crossing the closed frontier on coding moves the on-prem question from 'can we?' to 'which workload first?' Procurement should pull DeepSeek V4 and the leading open coding models into pilot this quarter; merchant-vs-self-host is now a real fork, not a hypothetical. Anthropic withholding Mythos on cyber-risk is the new diligence signal — vendor-risk frameworks need a capability-gate criterion, not just an availability SLA. ## Hardware lens - **Apr 24.** NVIDIA Vera Rubin engineering samples shipping to customers within 12 months of Blackwell Ultra GA — half the prior generation gap _(NVIDIA developer channels, multiple OEM disclosures)_ - **Apr 22.** Custom silicon share of incremental AI compute reaches ~30%, up from ~22% three months ago _(TrendForce, SemiAnalysis)_ - **Apr 18.** HBM4 validation milestones at SK Hynix, Samsung, and Micron — primary risk for H2 2026 hyperscaler tail _(TrendForce, vendor advisories)_ **What this means.** Vera Rubin samples landing 12 months after Blackwell Ultra means refresh planning needs to shift from a 24-month to a 14-16-month cycle; standard depreciation schedules are now wrong for AI silicon. The binding constraint is power, packaging, and HBM4, not GPUs themselves — buyers should secure HBM allocation and grid interconnect alongside chips, not after. Custom silicon at ~30% of incremental compute is the threshold where merchant-GPU pricing power starts to compress; expect single-vendor leverage to fade through 2026. ## Networking lens - **Apr 15.** Equinix Fabric Intelligence launch creates AI-native networking as a distinct product category _(Equinix press, Light Reading)_ - **Apr 17.** NVLink Fusion + UALink standardization moves cross-vendor scale-up fabric toward an interoperable baseline _(NVIDIA, AMD, Intel joint statements; OCP working group)_ - **Apr 19.** 1.6 Tbps and co-packaged optics shipping in volume ahead of the compute they serve — Gilder's Law in motion _(Marvell, Broadcom press; OIF working notes)_ **What this means.** Equinix Fabric Intelligence formalizes AI-native interconnect as its own product category — investors should track cross-connect and fabric revenue as a leading indicator that decouples from raw colo capacity. NVLink Fusion plus UALink means architects can stop betting on a single vendor's scale-up fabric; multi-vendor, mixed-silicon clusters are now a real design target. With 1.6 Tbps optics shipping ahead of the compute they serve, the network is no longer the bottleneck for hybrid AI — designs targeting multi-DC training in 2027 should plan around fabric headroom, not fabric scarcity. ## Capital flow | Category | Capital in | Revenue out | Burn:Revenue | Movement | |---|---|---|---|---| | Frontier Labs (OpenAI, Anthropic, Google DeepMind, xAI) | ~$50B (was ~$30B, up) | ~$30B (was ~$25B, up) | 0.6 | Anthropic +8.5 GW across NVIDIA, Trainium, TPU — forward-buy that locks in vendor diversity and outruns disclosed demand. | | Hyperscaler-Hosted (AWS Bedrock, Azure Foundry, Vertex, OCI) | ~$48B (was ~$30B, up) | ~$10B (was ~$8B, up) | 0.21 | Microsoft absorbs ~1.6 GW from Stargate Abilene — orphaned frontier capacity rerouted into hyperscaler platforms. | | Neoclouds (CoreWeave, Crusoe, Nebius, Applied Digital) | ~$15B (was ~$10B, up) | $1.6B (was $1.1B, up) | 0.4 | CoreWeave backlog +4x YoY to $66.8B (incl. Meta $21B six-year) — conversion velocity is now the metric, not gross backlog. | | On-Prem / Hybrid (Enterprise GPU clusters, sovereign and national programs) | ~$42B (was ~$25B, up) | Indirect (was Indirect, flat) | n/a | DeepSeek V4 open crosses frontier; sovereign programs surge — workload migration from rented to owned compute has a frontier-class trigger. | ### Frontier Labs — detail Frontier labs are the largest single source of forward compute commitments this week. Anthropic alone disclosed 8.5+ GW across NVIDIA, Trainium, and TPU — distributed across three platforms specifically to reduce single-vendor dependency. The other labs are following: OpenAI's Stargate restructure, Google DeepMind's TPU absorption, and xAI's Memphis expansion. The capital is committed faster than disclosed revenue can absorb it; that gap is the entire reckoning. **Transactions:** - **Apr 7.** Anthropic-Google / Broadcom 3.5 GW TPU deal — $100B / 10 yr _(TechCrunch, Broadcom 8-K)_ - **Apr 20.** Anthropic-AWS expansion to 5 GW — undisclosed _(anthropic.com, AWS news)_ - **Apr 22.** Stargate Abilene capacity restructure passed back to Microsoft — $21B / 1.6 GW _(DCD, GlobeNewswire)_ ### Hyperscaler-Hosted — detail Hyperscaler capex deployment this week is dominated by Microsoft picking up Stargate's orphaned 1.6 GW capacity. Azure's deceleration on guidance is a wedge against the broader thesis but doesn't yet contradict the aggregate ~$700B 2026 capex trajectory. Q1 prints (Apr 29 - May 6) test whether the platform-pull-through narrative holds under disclosed numbers. **Transactions:** - **Mar 6 / Mar 27.** Microsoft absorbs cancelled Stargate Abilene capacity — $21B / 700 MW + 900 MW _(DCD, GlobeNewswire)_ - **Apr 25.** Azure guidance commentary heading into Q1 print — n/a _(Microsoft IR commentary)_ ### Neoclouds — detail Neocloud backlog is up 4x year-over-year, but conversion velocity is the unresolved question. CoreWeave's $66.8B total backlog now includes the new Meta $21B six-year commitment through 2032; Crusoe-MS expansion adds another lever; Nebius and Applied Digital are tracking similar scaling. The capital-in / revenue-out spread is the widest in the stack and depends entirely on customers ramping into committed capacity. **Transactions:** - **Q4 2025.** CoreWeave revenue backlog (cumulative) — $66.8B _(CoreWeave Q4 25 press)_ - **Apr 20.** Meta-CoreWeave six-year through 2032 — $21B _(CoreWeave press)_ - **Apr 22.** Crusoe-MS expansion announcement — undisclosed _(Crusoe press)_ ### On-Prem / Hybrid — detail Indirect spend through GPU shipments, sovereign programs, and enterprise on-prem deployments. DeepSeek V4 crossing the closed frontier on coding is the demand catalyst this week — sovereign programs aggregate to $80B+ of forward commitments across UAE, Germany, France, Mistral-Sweden, GMI Japan, IndiaAI, and the UK AI Growth Zones. The category has no consolidated revenue line; spend shows up in NVIDIA's data-center revenue, OEM hardware shipments, and government program disbursements. **Transactions:** - **Apr 22-24.** DeepSeek V4 release (open weights, frontier-class on coding) — n/a (catalyst) _(HuggingFace, deepseek.com)_ - **Q1 2026.** Sovereign AI commitments aggregate across 8 countries — $80B+ _(various government announcements)_ - **Apr 21.** UK AI Growth Zones aggregate — $38.5B _(UK government)_ ## Signal vs noise - **Score 5/5 —** Anthropic has committed to ~8.5+ GW of forward compute capacity across NVIDIA, AWS Trainium, and Google TPU. - _Sources:_ anthropic.com (Apr 20 + Apr 7), AWS news, Verge, Broadcom 8-K, multiple SEC filings - _Read:_ Real. The largest single-counterparty compute commitment ever recorded. Distributed across three platforms reduces single-vendor dependency and is critical evidence for the all-three-lenses thesis. - **Score 4/5 —** Aggregate 2026 hyperscaler capex tracking ~$700B (Microsoft + Google + Meta + Amazon + Oracle). - _Sources:_ Composite of Q4 2025 earnings guides; not a single sourced number - _Read:_ Directionally correct. Will likely revise upward on Q1 2026 prints (Apr 29 - May 6). Caution: the aggregate hides per-company variance — Microsoft is decelerating Azure guidance while Google capex still accelerates. - **Score 2/5 —** DeepSeek V4 was trained end-to-end on Huawei Ascend silicon, eliminating NVIDIA dependency. - _Sources:_ Chinese-language tech blogs only. No primary DeepSeek confirmation. - _Read:_ Noise. Significant if true (sovereign-AI hardware decoupling milestone) but unverified. Watch for any DeepSeek primary source. If confirmed, this advances the on-prem-via-non-Western-stack thesis materially. - **Score 4/5 —** Anthropic withheld 'Mythos' on cyber-risk; UK AISI confirmed autonomous offensive capability. - _Sources:_ anthropic.com, red.anthropic.com, aisi.gov.uk, Cloud Security Alliance - _Read:_ Real. First major lab to deliberately withhold a flagship on capability-risk grounds. Procurement diligence implications: cyber-capability gating becomes a vendor-risk criterion. - **Score 5/5 —** Open-weight models now lead closed models on credible coding benchmarks. - _Sources:_ HuggingFace model cards (Kimi K2.6, GLM-5.1), Artificial Analysis, multiple independent evals - _Read:_ Real. SWE-Bench Pro: Kimi K2.6 58.6, GLM-5.1 58.4 vs GPT-5.4 57.7, Opus 4.6 57.3. First time open leads closed on a credible code benchmark. The on-prem demand catalyst for the open-weights hypothesis. ## Levers | Metric | Current | Prior | Direction | Threshold | |---|---|---|---|---| | Frontier lab cash position (avg months runway, top 3) | ~22 mo | ~26 mo | down | <18 mo triggers re-rating risk | | Hyperscaler capex / AI revenue ratio (top 4 weighted) | ~5.5 | ~4.8 | up | >6.0 invites investor pushback at next earnings | | CoreWeave revenue backlog | $66.8B | $15.1B | up | Conversion velocity matters more than gross figure | | NVIDIA Q-over-Q data center revenue | $62.3B (Q4 FY26) | $57.0B (Q3 FY26) | up | — | | Open vs closed gap on SWE-Bench Pro (coding) | Open +0.9 | Closed +6 | up | Sustained open lead reshapes enterprise procurement | | Sovereign AI commitments (count / aggregate $) | 8 / $80B+ | 5 / $50B+ | up | — | | PJM 2026/27 capacity auction price ($/MW-day) | $329 | $29 | up | 11x in 24 months — power is the new binding constraint | | Time-to-power, busiest US markets (months) | 36-48 | 30-42 | up | — | | Cost-per-task, frontier reasoning model | ~$0.05 | ~$0.08 | down | — | | Custom silicon share of incremental AI compute | ~30% | ~22% | up | >35% materially compresses merchant GPU pricing | **Lever detail:** - **Frontier lab cash position (avg months runway, top 3).** Top 3 frontier labs (OpenAI, Anthropic, Google DeepMind) by disclosed runway, computed from cash on hand divided by trailing-12-month operating burn. The drop from ~26 to ~22 months reflects accelerating compute commitments outpacing revenue growth. <18 months triggers re-rating risk — investor models start pricing dilution or strategic exit; <12 months forces consolidation, acquisition, or revenue reset. - **Hyperscaler capex / AI revenue ratio (top 4 weighted).** Top 4 hyperscalers (MSFT, GOOG, META, AMZN) weighted aggregate of total capex divided by AI-attributable revenue. ~5.5 means $5.50 of capex deployed per $1 of AI-attributable revenue. >6.0 is the threshold where sell-side analysts stop accepting the platform-pull-through narrative; sustained 5.5x+ is the wedge against capital-efficiency claims. - **CoreWeave revenue backlog.** Booked but unrecognized revenue. The 4x YoY jump reflects the new Meta $21B/6yr commitment plus Microsoft and OpenAI extensions. The metric to actually watch is conversion velocity: how quickly capacity comes online and customers ramp. If Meta recapitalizes its in-house compute and pulls back, this number compresses materially. - **NVIDIA Q-over-Q data center revenue.** Data center segment revenue, sequential Q-over-Q. Captures Blackwell Ultra ramp and the start of Vera Rubin sample shipments. Beat or miss against the $62B run-rate sets the slope for H2 hyperscaler capex; a miss flattens Huang's-Law trajectory and re-rates the whole AI hardware narrative. - **Open vs closed gap on SWE-Bench Pro (coding).** Coding benchmark differential between top open-weight model (Kimi K2.6 at 58.6) and top closed model (GPT-5.4 at 57.7). Sustained open lead reshapes enterprise procurement because open weights run on-prem with predictable cost-per-token and no rate limits. The flip from closed +6 to open +0.9 is the inflection that makes self-hosting frontier-class AI a real procurement option this quarter. - **Sovereign AI commitments (count / aggregate $).** Count of named national AI infrastructure programs and aggregate forward commitments. Current set: UAE Stargate (1 GW), Germany National DC Strategy, France IA program, Mistral-Sweden, GMI Japan, IndiaAI, UK AI Growth Zones aggregating $38.5B, plus the Saudi-PIF AI commitment. Reflects de-Westernization of compute provisioning and creates new merchant-silicon demand outside the hyperscaler axis. - **PJM 2026/27 capacity auction price ($/MW-day).** Most recent PJM auction cleared at 11x the prior auction price, reflecting tightness in the capacity market driven by data-center load growth outpacing new generation build-out. Behind-the-meter generation is now mainstream; FERC compliance milestones in May-June will determine whether 2027 clearing prices repeat or normalize. - **Time-to-power, busiest US markets (months).** Months from new-load interconnection request to energization in the most constrained US power markets (Northern Virginia, Phoenix, Dallas-Fort Worth, Columbus). Lengthening despite grid investment because demand is outpacing transmission build-out by 2-3x. The constraint is no longer chips, capital, or land — it is electricity delivery. - **Cost-per-task, frontier reasoning model.** Median cost across the frontier-tier reasoning models for a benchmark complex task. The 38% drop reflects continued pricing pressure from open-weight competition and provider economies of scale. Falling cost expands the addressable workload set rather than contracting demand — this is the Jevons signature in AI inference. - **Custom silicon share of incremental AI compute.** Approximate share of newly deployed AI compute capacity using custom silicon (TPU, Trainium, MTIA, Maia, Granite Rapids AI) versus merchant silicon (NVIDIA, AMD). The 30% threshold is structurally important: at this share, merchant GPU pricing power begins to compress as customers gain credible alternatives. Past 35% the compression is material and re-rates merchant gross margins. ## Predictions - **`p1-2gw-customer-funded` _[capital]_ — At least one frontier lab announces a customer-funded compute commitment greater than 2 GW.** - Confidence: 70%. Deadline: By June 30, 2026. - Trigger: Earnings cycle commentary on RPO from Oracle and AWS; announcements at Google I/O, Microsoft Build, AWS Summit. - **`p2-f500-on-prem` _[software]_ — At least one Fortune 500 enterprise discloses an on-prem AI workload greater than $100M annual using open-weight models.** - Confidence: 60%. Deadline: By September 30, 2026. - Trigger: Enterprise architecture announcements; bank, insurer, or pharma F500 first-mover; DeepSeek V4 reference deployment. - **`p3-capex-revise` _[capital]_ — Aggregate 2026 hyperscaler capex revises upward by 10% or more from the $700B baseline.** - Confidence: 80%. Deadline: By October 31, 2026. - Trigger: Q1 2026 earnings (Apr 29 - May 6) and Q2 2026 earnings cycle. - **`p4-interconnect-outpaces` _[networking]_ — At least one major colocation or interconnect operator reports cross-connect or interconnect revenue growth outpacing compute capacity revenue growth for two consecutive quarters.** - Confidence: 70%. Deadline: By July 31, 2026. - Trigger: Equinix Q1 (May 7) and Q2 (early August) earnings; broader colo and IX operator reporting. - **`p5-neocloud-anchor-loss` _[capital]_ — At least one neocloud loses an anchor tenant or sees backlog growth turn negative quarter-over-quarter.** - Confidence: 35%. Deadline: By September 30, 2026. - Trigger: Quarterly disclosures from CoreWeave, Nebius, Applied Digital. - **`p6-custom-silicon-35` _[hardware]_ — Custom silicon (TPU + Trainium + Maia + MTIA + Granite Rapids AI) reaches 35% of incremental AI compute share, up from ~30% today.** - Confidence: 55%. Deadline: By July 31, 2026. - Trigger: TrendForce / SemiAnalysis quarterly mix breakdown; Q2 2026 hyperscaler earnings color on internal silicon vs merchant GPU mix. ## Watchlist - **Apr 29 - May 6 — Q1 2026 hyperscaler earnings.** Capex direction signal that hits all four hyperscalers in eight days. Watch: aggregate revising higher, AI-segment margin disclosure, RPO commentary. Higher pushes the capex / revenue ratio past 6.0 (a lever threshold); lower is the first sign of ROI re-rating risk and tests prediction p3. - **Late May 2026 — NVIDIA Q1 FY27 earnings.** First disclosure on Vera Rubin ramp velocity, HBM4 supply, and custom-silicon competitive pressure. Watch: data-center revenue vs the $62B run-rate, gross margin trend, customer-concentration commentary. A miss flattens the doubling slope; a beat resets the H2 hyperscaler capex tail. - **May 2026 — Google I/O + Microsoft Build.** Frontier model and platform announcements that directly test prediction p1-2gw-customer-funded. Watch: any disclosed customer-funded compute commitment greater than 2 GW, RPO disclosures, agent-platform pricing. A 2 GW+ commitment scores p1 a hit before its June 30 deadline. - **Through Q2 2026 — HBM4 memory supply ramp.** Validation status at SK Hynix, Samsung, and Micron is the binding constraint on Vera Rubin shipments. Watch: yield or qualification slips at any of the three. A slip compresses the H2 2026 hyperscaler capex tail materially; a clean ramp protects it and keeps Huang's slope intact. - **April - June 2026 — FERC PJM compliance milestones.** Behind-the-meter generation materiality threshold takes effect, reshaping unit economics of large loads in the busiest US power market. Watch: FERC commentary on capacity attribution, ERCOT and MISO reactions. The outcome determines whether 2027 PJM clearing repeats the $329/MW-day or normalizes. ## Changelog - Inaugural issue. No revisions to the thesis. Future issues append entries here when evidence shifts a hypothesis. --- Source of truth: `src/data/industry/weekly/2026-W17.ts`. Canonical HTML: . PDF: .