Meta raised 2026 AI capex to $125B-$145B (May 27 shareholder meeting, Zuckerberg: cloud business 'on the table'); total hyperscaler capex $725B (2026) → >$1T (2027); FERC large-load interconnection docket ruling by end-of-June is gate for entire $725B buildout; Nvidia-OpenAI 10GW/Vera Rubin first GW H2 2026.

Macro Bucket 7: Exec capex statements — Meta, FERC gate, hyperscaler totals, May 27-29, 2026

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Summary

The largest new development from May 27-29 in the exec-capex bucket is Meta's shareholder meeting on May 27, 2026, where Zuckerberg raised 2026 AI capex guidance to $125B-$145B (from $115B-$135B) and stated a Meta cloud computing business is "definitely on the table" if the company overbuilds. The broader hyperscaler context: combined 2026 capex has reached $725B (+77% YoY) and analysts now project $1T+ in 2027. The critical near-term regulatory gate for the entire buildout is the FERC large-load interconnection docket ruling expected by end of June 2026 — acting on rules for AI data center grid connections that, if favorable, unblocks a multi-year infrastructure order book for Quanta, Vertiv, GE Vernova, and Eaton.

Findings

Meta May 27 shareholder meeting: capex raised, cloud business floated

At Meta's annual shareholder meeting on May 27, 2026, Mark Zuckerberg raised 2026 AI capex guidance to $125B-$145B (from prior $115B-$135B), citing "higher prices for components and additional data center costs to support future-year capacity" (Fortune, April 29, 2026; mlq.ai/news). Meta's Q1 2026 capex was $19.8B, driven by servers, data centers, and network infrastructure. Meta's contractual commitments increased by $107B in Q1 alone — multi-year cloud and infrastructure purchase agreements flowing through to 2027.

Key new statement: Zuckerberg stated that a Meta cloud computing business is "definitely on the table" because companies regularly approach Meta asking to purchase compute resources. Meta has not yet rented compute (it believes it has use for all capacity), but the signal is that if overbuild occurs, Meta becomes a fourth major cloud vendor competing with AWS, Azure, GCP. Implication: Meta's cloud optionality is a long-tail upside for the current AI infra capex cycle.

Why capex went up: Higher component pricing — specifically memory (HBM/DRAM) alongside competition for land, power, and skilled workers — drove the $10B upward revision to the 2026 range. This directly corroborates the SK Hynix/HBM supply constraint thesis.

Hyperscaler capex totals — $725B in 2026, $1T+ in 2027

Combined Big 4 + OpenAI hyperscaler capex for 2026:

Microsoft: $190B CY2026 (vs $152B analyst forecast; $25B attributable to memory/chip cost inflation) (Tom's Hardware)
Alphabet/Google: $180B-$190B CY2026 (up $5B from prior guidance)
Meta: $125B-$145B CY2026
Amazon/AWS: in range (total with AWS not yet separately confirmed in these snippets)
Total: ~$725B in 2026, up 77% from 2025 (Tom's Hardware / Yahoo Finance)
2027 outlook: Big tech capex projected to exceed $1 trillion in 2027 (CNBC, April 30, 2026)

An analyst quoted in the Tom's Hardware piece described the bear thesis (that capex will slow) as "garbage."

FERC large-load interconnection docket: end-of-June ruling is THE gate

This is the most actionable near-term regulatory catalyst for the $725B capex thesis. FERC committed to acting by end of June 2026 on the Advance Notice of Proposed Rulemaking (ANOPR) for large-load interconnection, initiated by Energy Secretary Wright under a rarely-used authority in the DOE Organization Act (FERC.gov announcement; PowerMag: "FERC Sets June Deadline to Rewrite Large-Load Grid Rules for AI-Era Power Demand").

What it covers: Rules for connecting large electrical loads (>20MW, with debate about whether the threshold should be 50-100MW) to the interstate transmission grid. Individual hyperscale facilities are now requesting 500MW to 1GW at a single point — compressing decade-long utility planning cycles. FERC found PJM's tariff "unjust and unreasonable" in December 2025 for lacking consistent large-load co-location rules.

Why it matters: Every hyperscaler in the $725B capex pipeline has a grid interconnection queue position. A favorable FERC ruling that streamlines large-load interconnection would unblock years of queued projects and accelerate order books for:

Quanta Services (PWR) — grid construction and utility infrastructure
Vertiv (VRT) — data center power and cooling equipment
GE Vernova (GEV) — gas turbines and grid equipment
Eaton (ETN) — electrical distribution

Threshold debate: Stakeholders generally converging around 50-100MW threshold (rather than 20MW) to avoid sweeping in mid-sized manufacturers that are traditionally under state tariffs.

Previous milestones: FERC approved Southwest Power Pool's High Impact Large Load (HILL) initiative in January 2026; directed PJM to establish transparent large-load co-location rules in December 2025.

OpenAI + Nvidia 10GW/$100B partnership — executing, not new

The Nvidia-OpenAI strategic partnership (announced September 22, 2025) for 10 gigawatts of Nvidia systems is now executing. First 1GW deploys H2 2026 on Vera Rubin (OpenAI newsroom; Nvidia investor relations). Nvidia will invest $10B with the first GW, scaling to up to $100B total (progressive as each GW is deployed). 10GW = approximately 4-5 million GPUs. This partnership has massive CoWoS demand implications (10GW of Vera Rubin = substantial multi-die interposer demand for TSMC).

OpenAI Guaranteed Capacity (announced May 19, 2026): New offering allowing enterprise customers to lock in 1-2-3 year compute commitments (CNBC, May 19). This is Stargate's revenue model becoming visible — turning the infrastructure buildout into a recurring revenue stream.

Musk/xAI: No new physical-build announcement May 27-29

Elon Musk's xAI is being merged into SpaceX as a "SpaceXAI" division (announced in May 2026) — Grok and X AI capabilities consolidating under SpaceX. No publicly listed ticker directly affected (xAI and SpaceX are private). No new Tesla physical-build announcement from May 27-29. Musk and Tim Cook were both on the Trump-China trip (May 14), but no new infrastructure announcement from that trip in the snippets found.

Contradictions and open questions

Meta cloud business timing: Zuckerberg said "definitely on the table" but won't comment on timing. If Meta enters cloud in 2027-2028, it disrupts the AWS/Azure/GCP oligopoly pricing premium — a thesis-killer for Microsoft and Google cloud revenue multiples. Watch Meta Q2 2026 earnings for any cloud-business pilot announcement.
FERC ruling content unknown: FERC committed to acting by end of June, but the specific ruling content is unknown. If the ruling imposes 100% network upgrade cost responsibility (as initially proposed), hyperscalers bear the full grid upgrade cost — potentially inflating capex projections further (bullish for PWR/GEV) or causing interconnection delays if hyperscalers contest costs. If cost-sharing is adopted, it could fast-track projects.
$1T in 2027 — demand vs. constraints: Does the semiconductor supply chain (CoWoS at 130k wafers/month, HBM at 100% committed) support $1T of AI capex? The constraint isn't capital — it's physical supply. This is the core of the supply-chain scarcity thesis.
Stargate progress: 7GW planned, $400B invested — but first 1GW of Vera Rubin not until H2 2026. Is the $400B figure investment commitments or actual spend? The rate of actual deployment vs. announced commitment is the risk.

Provenance

Rounds run: 3 (full)

Sub-questions by round:

Round 1 (broad survey):

Sam Altman/OpenAI/Stargate capex announcements May 27-29
Zuckerberg/Meta, Nadella/Microsoft, Pichai/Google at Computex May 27-29
Musk/xAI/Tesla, Cook/Apple physical-build May 27-29

Round 2 (drill-down):

Meta capex $125-$145B breakdown and picks-and-shovels beneficiaries
Hyperscaler $725B total — VRT, ETN, PWR, GEV, EQIX, DLR specifically
Altman/Computex announcement (not found)

Round 3 (resolve remaining uncertainty):

FERC large-load interconnection docket — June 2026 ruling scope and company impact
Nvidia-OpenAI 10GW partnership date (confirmed September 22, 2025 — not new)

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