• Introduces Arm CEO Rene Haas and notes ARM's massive scale - 4 chips for every human on the planet shipped last year.
    Becky
  • Rene Haas
    Confirms ARM's massive scale - enough chips shipped to cover every person who ever lived, describes ARM as CPU compute platform at heart of smartphones, data centers, automobiles, washing machines.
  • Asks how to think about ARM in competitive chip space - partners vs competitors.
    Becky
  • Rene Haas
    Describes ARM as 'Switzerland of semiconductor industry' - supplies CPU IP to everyone including NVIDIA, Apple, Samsung, Google, Microsoft.
  • Asks if ARM cares about competitive landscape outcomes or is neutral.
    Becky
  • Rene Haas
    Sees amazing time in industry with AI, huge opportunity for ARM as AI workloads run everywhere from data centers to smartwatches.
  • Asks about latest advancements in energy efficiency.
    Becky
  • Rene Haas
    ARM powers Grace Blackwell platform, Vera Rubin uses 6x more ARM CPUs than previous platform, also in wearables consuming <1 watt.
  • Asks if data center electricity/copper shortages impact ARM through customers.
    Becky
  • Rene Haas
    Everyone in semiconductor supply chain impacted by shortages - memory, wafers, turbines.
  • Asks if agrees with Andy Jassy that energy shortage for data centers is better than 18 months ago.
    Becky
  • Rene Haas
    Agrees it's better but scaling problem exists - US has energy but transmission lines, contracts, easements are bottlenecks.
  • Asks about concern over potential technological breakthroughs like DeepSeek doing more with less processing power.
    Becky
  • Rene Haas
    Hard to think of terrible outcome from ARM standpoint, expects innovation in AI models becoming domain-specific.
  • Asks what worries him if not technological breakthroughs.
    Becky
  • Rene Haas
    Questions where AI goes - replacing workers, inventing, creating new companies.
  • Questions if AI advancement is predestined via scaling laws or needs breakthroughs.
    Becky
  • Rene Haas
    Believes AI will get there - question is when, not if, based on innovation pace of last 10 years vs previous 50-100.
  • Notes timing matters, compares to self-driving cars - sort of there, sort of not.
    Becky
  • Rene Haas
    Timing creates big cone of risk - 2030, 2040, 2050 all possible.
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