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.
The African data center buildout 2026: Lagos, Nairobi, Cape Town, and Cairo
Africa hosts roughly 1.5 percent of global colocation capacity but is on track to triple installed megawatts by 2028, with Lagos, Nairobi, Cape Town, and Cairo absorbing the bulk of new builds and forcing fresh thinking on power, regulation, and inference latency.
African data center capacity is finally inflecting in 2026. Installed colocation power across the continent now sits near 700 megawatts, still a small share of the global 55 gigawatt market, but contracted pipelines suggest a path to roughly 1.8 gigawatts by 2028. South Africa, Nigeria, Kenya, Egypt, and Morocco anchor that growth. The st...
AI inference cost decline 2026: the trajectory and what it forces buyers to plan for
Token prices have fallen roughly 10x per year for equivalent capability since 2023, and the buyers who treat inference as a fixed line item are mispricing every AI roadmap they own.
Inference token pricing has compressed faster than almost any input cost in modern enterprise computing, with frontier model prices falling roughly an order of magnitude per year for any fixed capability tier between 2023 and 2026. The decline is driven by the Hopper to Blackwell hardware step, kernel and serving optimizations, FP8 and FP...
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, ...
Taiwan Strait Risk Pricing 2026: What the Market Is Implying and What It Should
Cross-asset signals understate the tail. We reconcile options skew, sovereign CDS, and marine premia against PLA tempo and semiconductor concentration to recalibrate corporate hedges through 2028.
Taiwan Strait risk is the most underpriced macro tail in 2026. TWD risk reversals, TAIEX implied volatility, and Taiwan five year sovereign CDS all sit near multi year averages despite a clear escalation in PLA exercise tempo, a rising marine war risk premium for Taiwan port calls, and a global semiconductor exposure that has grown, not s...
UAE 2026: Oil Revenue, ADIA Reset, Abu Dhabi's AI Bet, and Dubai's Trade Hub
Diversification has moved from rhetoric to balance sheet. We map the macro-financial implications of falling oil dependency, sovereign portfolio rebalancing, the G42 and Microsoft partnership, and Dubai's logistics franchise as the federation enters a new investment cycle.
The United Arab Emirates enters 2026 with a non-oil economy that finally drives the majority of growth, sovereign wealth funds rotating out of public equities and into private credit and artificial intelligence infrastructure, and a tax regime that has settled after the introduction of the 9 percent federal corporate income tax. Athena an...
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. ...
Where AI productivity actually shows up: a sector decomposition
Aggregate US labor productivity grew 2.7 percent in 2024 and 1.9 percent annualized through Q4 2025. The AI signal in those numbers is real but narrow. It lives in five sectors and a dozen occupations, not in the headline.
Two years into broad enterprise AI deployment, the productivity question has moved from speculation to measurement. BLS labor productivity data show nonfarm business output per hour up 2.7 percent in 2024 and roughly 1.9 percent annualized through 2025, above the 2007 to 2019 trend of 1.4 percent. BEA multifactor productivity data lag by ...
Quebec hydropower and the new gating of AI compute
Quebec spent two decades selling itself as the cheapest, greenest place on the continent to plug in a data center. In 2026 Hydro-Quebec is throttling new connections, redesigning industrial tariffs, and forcing hyperscalers to rethink where the next gigawatt of AI training capacity actually lands.
Quebec sits on roughly 37 gigawatts of installed hydro capacity, historically the cheapest large-scale clean power in North America. From 2018 the province first banned new bitcoin mining connections, then welcomed AI campuses, and by 2024 began throttling all new large industrial loads above 5 megawatts. Hydro-Quebec's 2035 strategic pla...