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Peter Elstrom

Showing 1–3 of 3 interviews.

  1. Bloomberg Television1h 11m

    Microsoft Races to Fix Outage, Stocks Slip of Inflation Test

    Anna Edwards, Guy Johnson, Tom Mackenzie, Jensen Huang, Manish Kabra, Marieke Blom, Nataliia Lipikhina, Oliver Crook, Paul Dobson, Olivia Neville, Peter Elstrom, Andrea Felstead

    Following revelations that CEO Jensen Huang facilitated the smuggling of restricted chips to China, he resigned and was replaced by interim CEO Colette Kress, triggering significant stock volatility and congressional scrutiny. Amidst this corporate turmoil, Anthropic secured the largest technology fundraising event in history with a $90 billion capital raise while NVIDIA remains a major strategic investor. Simultaneously, global markets faced headwinds from rising energy prices, hawkish Federal Reserve signals, and a Microsoft outage that disrupted financial infrastructure across major exchanges.

  2. RAISE Summit18 min

    How Data Became the Most Indispensable Resource for AI | Or Lenchner, Bright Data | RAISE 2026

    Or Lenchner, Peter Elstrom

    Bright Data re-architected its infrastructure to serve exploding demand for visual data in physical AI and robotics, successfully defending its operational model against major legal challenges involving Meta and X. The privately held company, which achieved a $300 million revenue run rate without external funding, distinguishes its Western outsourcing strategy from Chinese competitors' focus on internal data stack development. While navigating potential market corrections, Bright Data maintains a long-term outlook on the necessity of its data ecosystem for global AI training and continues to prioritize hyper-growth over an imminent IPO.

  3. RAISE Summit21 min

    The ROI on Intelligence: Turning AI Investment into Enterprise Transformation | RAISE Summit 2026

    Jordan Topoleski, Pallavi Mahajan, Peter Elstrom

    Jordan Topolesky of Cursor and representatives from Nokia describe a critical industry shift from tracking AI input costs to optimizing for business outcomes, evidenced by a case where AI spending was cut 26% without reducing production code rates. This transition has driven organizational restructuring, including role compression and smaller, more efficient teams that leverage dynamic model selection to handle complex parallel workflows. Complementing these operational changes, INSEAD's Philippe Agnon highlights that while AI efficiency modestly boosts GDP, its primary economic value lies in expanding execution capacity to foster higher-quality strategic ideation and new product innovation.