Julia Fanzeres
Julia Fanzeres is a Bloomberg News reporter in New York covering the U.S. economy, including the labor market, affordability, and consumer trends. She has also covered energy markets and oil futures.
Strong Growth Hasn’t Made Everyday Costs Feel Manageable
Bloomberg’s report argues that the gap between strong US economic data and widespread financial pessimism reflects affordability, not a lack of growth: inflation has slowed, but prices remain far above pre-pandemic levels. Reporters Reade Pickert, Julia Fanzeres and Jeffrey Sparshott describe how fuel costs, housing and uneven job prospects leave many households under pressure, even as consumer spending and AI investment support the broader economy. Strong spending, they note, does not necessarily mean people feel financially secure.
Compute Supply, Power, and Capital Are Defining the AI Buildout
Arm’s warning on smartphone weakness sat alongside a stronger claim from chief executive Rene Haas: handset softness is concentrated in lower-end devices, while data-center demand is accelerating because agentic AI workloads need CPU orchestration. Bloomberg Technology’s May 7 program used that contrast to trace a broader AI-infrastructure market in which demand is less in question than the ability to secure compute capacity, power, supply chains and capital. Anthropic’s lease of SpaceX compute and CoreWeave’s financing questions pointed to the same constraint: available infrastructure, not appetite for AI, is becoming the limiting factor.
Tech Layoff Plans Rise 33% as Broader Job Cuts Recede
Bloomberg’s Julia Fanzeres argues that the U.S. layoff picture is increasingly sector-specific: tech companies are announcing rising cuts even as broader private-sector layoff plans decline. Citing Challenger data, Caroline Hyde said planned U.S. tech job cuts have reached 85,411 this year, up 33% from the same period in 2023, with AI cited as a factor for a second month. Fanzeres said the pattern does not yet show a wider labor-market break, but raises the question of whether tech cuts are a contained adjustment or an early signal.