Where the math is defensible.
Long-form research on live enterprise decisions. Publication is selective. Every number traces to a named source. No takes without evidence.
AI Talent Compensation 2026: Where Comp Is Going Across Labs, Hyperscalers, and Finance
Frontier labs, hyperscaler ML orgs, and quant funds are converging on a narrow pool of researchers, with equity scaling on private valuations and skill premiums sharpening by specialization.
AI compensation in 2026 has decoupled from the broader software labor market. Frontier labs are paying senior research scientists total packages above five million dollars per year, with most of the value carried in private equity grants tied to valuations that have doubled in eighteen months. Hyperscaler ML organizations have responded w...
Hyperscaler GPU Procurement 2026: H200 vs B200 vs GB200 in Honest Deployment Math
Blackwell is no longer a roadmap promise, it is a procurement reality, and the only honest comparison runs on workload-weighted utilization rather than peak FLOPS. The hyperscalers that win in 2026 are the ones who match SKU mix to inference share, post-training intensity, and the Rubin cadence sitting one fiscal year out.
The 2026 GPU procurement cycle is the messiest in a decade. AWS, Azure, GCP, and Meta are running three NVIDIA generations in parallel while merchant clouds (CoreWeave, Lambda, Crusoe, Nscale) chase liquid-cooled GB200 NVL72 racks at terms designed for sovereign and frontier-lab buyers. The honest math is not B200 versus H100 peak FLOPS, ...
Johor's Data Center Boom: Singapore's Spillover and Malaysia's Grid Bet
Singapore's moratorium pushed roughly 1.6 GW of latent demand across the causeway, and Johor is now Southeast Asia's most concentrated hyperscaler buildout. The binding constraints are grid, water, and sovereign data law.
Between Singapore's 2019 moratorium and the partial 2022 reopening under the Pilot Call for Application, roughly 1 to 2 GW of regional hyperscaler demand had no clean home. Johor absorbed most of it. Sedenak Tech Park, Iskandar Puteri, Kulai, and Pengerang now host announced commitments from Microsoft, AWS, Google, ByteDance, Equinix, GDS...
Texas, ERCOT, and the AI Siting Reset
Senate Bill 6, the ERCOT large-load study, and a 30 to 40 GW interconnection queue are forcing hyperscalers to rethink West Texas, behind-the-meter gas, and the price of speed.
Texas became the default home for marginal United States AI compute through 2024 and 2025 because ERCOT offered the only grid in North America that could absorb gigawatt-scale loads on a multi-year horizon rather than a multi-decade one. That window is closing on its own terms. The ERCOT December 2025 long-term load forecast now carries r...
AI capex met the grid: when the megawatt curve breaks
Hyperscaler capital spending crossed 500 billion dollars across 2025 and 2026 while the average US interconnection wait sits above 4 years. The constraint is no longer chips. It is megawatts on a calendar.
AI infrastructure capex has cleared 500 billion dollars across 2025 and 2026 between the four hyperscalers, NVIDIA, Oracle, and the new wave of neoclouds. The chips are arriving. The grid is not. Lawrence Berkeley National Lab puts the active US interconnection queue above 2,600 gigawatts, with median wait times above 4 years and rising. ...