Rebecca Torrence
Rebecca Torrence is a Bloomberg News startups and venture capital reporter based in New York, covering startup funding, private technology companies, venture investors, and AI-related startup deals.
AI Infrastructure Spending Is Driving Valuations Across Tech Markets
Tech investors are pricing not only AI models but the infrastructure, financing and execution needed to turn heavy spending into returns, according to Bloomberg Technology’s May 29 coverage. The program tied Dell’s raised outlook and AI server forecast, Anthropic’s reported $965 billion valuation and private-credit financing, and SpaceX’s lower reported $1.8 trillion IPO target to a broader question of whether demand can become durable revenue and profit. Its SpaceX segment framed the revised target as a test of investor willingness to underwrite Elon Musk’s operating record and ambitions at valuation multiples far beyond current sales.
AI Competition Shifts From Models to Chips, Power, and Supply Chains
Bloomberg Technology framed the latest AI race less as a contest over individual products than as a fight over infrastructure constraints, from Nvidia chip export politics and U.S. semiconductor labor to cloud spending, energy, memory and data-center capacity. Ed Ludlow, Caroline Hyde and Bloomberg reporters treated Donald Trump’s discussion of Nvidia’s H200 chips with Xi Jinping as emblematic of that shift: significant for markets, but short of any clear export deal. The program’s interviews with Goldman Sachs’ Eric Sheridan, OpenAI CFO Sarah Friar and Figma CEO Dylan Field similarly argued that compute, distribution and ownership of the stack are becoming the decisive limits on AI growth.
Cerebras Seeks $4.8 Billion as AI Compute Demand Lifts IPO Market
Bloomberg Technology’s Caroline Hyde and Ed Ludlow framed Cerebras’ upsized IPO as part of a wider shift in which AI infrastructure is drawing capital across chips, data centers, power, payments and security. Bloomberg’s Rebecca Torrence said the Cerebras offering was more than 20 times oversubscribed, while other guests argued that investor demand is being supported by earnings growth, capacity constraints and expanding use cases rather than chips alone. The broadcast’s through-line was that the AI buildout is becoming a market-wide infrastructure trade, with financing, energy supply, stablecoins, cybersecurity and local hardware all pulled into the same investment case.