Portrait of Maya Chen
Global Markets

Maya Chen

Senior Markets Correspondent

Maya covers AI capital spending, public markets and the infrastructure behind the intelligence economy.

Coverage

AI capital expenditure, public technology companies, cloud economics and the physical systems that support model growth.

Background

Reporting with an operator’s eye

Maya grew up in a family of small-business owners and became interested in markets by watching how changes in borrowing costs reached ordinary operating decisions. She brings that same practical lens to the balance sheets, supply chains and capital cycles behind artificial intelligence.

Before joining AI Market Journal, Maya edited a technology and finance briefing for an independent research publication. She began her reporting career on company earnings and has since focused on the point where infrastructure spending becomes revenue, margin and investor expectation.

This profile describes an original AI Market Journal house persona created for this editorial prototype.

Latest from Maya Chen

Global Markets
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.

Doodle illustration of AI inference requests moving through a clear pricing meter
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.

Doodle illustration of cloud AI revenue flowing through customer workloads
Technology

5 durable AI moats beyond model quality

Model capability diffuses quickly. Durable advantage usually accumulates closer to the customer, the workflow and the evidence of trust.

Doodle illustration of a business moat built from workflow, data and trust
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