Jeremy Phillips
Jeremy Phillips focuses on the evolving AI infrastructure supply chain and its market implications. Recent work emphasizes how TPU/ASIC deployments and merchant networking silicon are diversifying AI-capex beyond Nvidia.
Past bets that played out
Jeremy highlights the structural broadening of AI infrastructure spending away from a single-vendor paradigm. His standout call synthesizes Bloomberg reporting that Broadcom’s long-term TPU/networking agreement with Google signals growing competition to Nvidia from ASIC/TPU ecosystems and merchant networking silicon—an outcome that benefits Broadcom (AVGO) and supports Alphabet’s (GOOGL) in-house AI strategy, while introducing relative-risk considerations for Nvidia (NVDA).
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly
What this channel is watching now
Active focus on Anthropic, Broadcom (AVGO), Alphabet/Google (GOOGL) and Nvidia (NVDA). Research centers on how TPU and ASIC deployments, merchant networking silicon, and large enterprise AI spend — including Anthropic’s reported rapid growth in $1m+ customers — reshape vendor share and pricing power across AI infrastructure.
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Bloomberg: Broadcom's Google deal proves AI infrastructure demand competing with Nvidia
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly/price-power expectations (but not a direct bearish call in the excerpt).
Proof-backed call history
Recent analysis draws on Bloomberg coverage and company disclosures to trace AI infrastructure demand trends. Key inputs include the Broadcom–Google supply agreement, Samsung earnings validating broader chip/memory demand, and Anthropic’s customer growth metrics.
...— and Broadcom didn't make the cut. Grab the names FREE today . Campling combined three signals. First, the Broadcom-Google five-year deal. Second, Samsung’s earnings reported the same morning, validating memory and chip demand broadly. Third, Anthropic reported that over 1,000 companies are now spending more than $1 million annually on its AI solutions, a figure that doubled from February in just six weeks. Broadcom also confirmed plans to work with Anthropic to help power its operations. Su
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly
Neil Campling (Bloomberg) frames the Broadcom–Google long-term TPU/networking supply agreement as evidence that AI infrastructure demand remains strong and that competition to Nvidia in AI accelerators/networking is structurally increasing. Core actionable implication: AI infra spend is broadening beyond Nvidia toward ASIC/TPU ecosystems and merchant networking silicon, benefiting Broadcom and (secondarily) Alphabet’s in-house AI stack; potentially a relative-risk narrative for Nvidia’s monopoly
About this channel
Jeremy Phillips is a financial analyst covering AI infrastructure, semiconductor ecosystems, and enterprise AI adoption. His work interprets supply agreements, vendor partnerships, and customer-adoption signals to assess winners and relative risks across hardware and cloud stacks.
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Follow Jeremy on X (handle: jeremy phillips) for timely analysis linking market events to investment implications. For research inquiries, reference his recent coverage of Broadcom–Google and Anthropic developments.