Markets
Energy contracts may become the next compute moat
As rack density rises, the commercial edge in AI infrastructure is moving upstream to power access, contract design and the ability to operate inside real grid constraints.
Markets
Capital, public companies and the economics of intelligence.
Lead analysis
The AI capital expenditure era will be judged by utilization
The next question for investors is not how much capacity was announced. It is whether expensive infrastructure is producing durable, paid work.
Markets
AI inference pricing needs a path to predictability
Customers can tolerate a new cost model for only so long. The next stage of AI adoption depends on prices that product teams, finance teams and buyers can understand before usage arrives.
Markets
Software multiples need better AI evidence
The market is right to ask whether AI can change software economics. It should be more demanding about what counts as proof.
Markets
Regional AI compute hubs are a business model, not a construction project
Countries and cities want local AI capacity, but a durable hub needs customers, operating talent and a reason for workloads to remain after the opening ceremony.
Markets
AI venture debt is about to test a new kind of underwriting
Lenders face a familiar question in an unfamiliar market: how do you finance growth when the product is software but the cost base increasingly includes expensive and variable infrastructure?
Markets
Cloud AI revenue needs a quality checklist
A large number can be meaningful, but investors still need to know whether it reflects durable workloads, discounted experimentation or infrastructure pass-through.
Markets
The hidden signals in the AI semiconductor cycle
Chip shipments matter, but the more revealing indicators may be lead times, network readiness, memory supply and the behavior of customers after they receive the hardware.
Markets
Why data center land banks are becoming an AI-era asset
Land is only valuable when it can support power, fiber, permitting and an operating plan. In AI infrastructure, those conditions are becoming harder to assemble at the same time.
Markets
AI insurance is becoming a market for operational evidence
As companies deploy AI in customer and internal workflows, insurance will depend less on broad promises of safety and more on proof that a system is monitored, bounded and recoverable.
Markets
5 AI infrastructure bottlenecks investors should watch
The next stage of AI investment will be shaped by the resources that turn chips into reliable, billable capacity.
Markets
5 data center trends reshaping AI economics
The cost of intelligence is increasingly determined by facility design, energy contracts and how consistently expensive equipment is used.
Markets
5 market signals that AI spending is maturing
A durable AI cycle will be measured by utilization, renewals and operating leverage rather than announcement volume.
Markets
5 AI procurement mistakes boards can avoid
AI purchasing decisions become expensive when ambition outruns ownership, data readiness and a credible path to sustained use.
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