Via time.com
Su's comments come days after AMD announced a multi-billion-dollar partnership with Anthropic built around its latest MI450 GPUs
Lisa Su does not do hype. The AMD CEO has spent years methodically building the company’s AI hardware business while letting the results speak, so when she says something is a turning point, it is worth paying attention.
Speaking in a Yahoo Finance interview on July 24, 2026, Su said AI has reached an inflection point where more people are doing genuinely useful, meaningful work with it.
The Anthropic deal is the real headline #
Su’s comments arrived two days after AMD announced a significant partnership with Anthropic, the AI safety company behind the Claude model family. The deal involves deploying up to 2 gigawatts of AMD’s latest Instinct MI450 GPUs, integrated into Helios rack systems. The first gigawatt of that deployment is expected to be operational by the first half of 2027.
AMD is also making an equity investment of up to $5 billion in Anthropic.
Inference is the new training #
The deeper signal in Su’s interview is a structural shift in how the AI industry actually uses compute. She pointed to 2026 as a historical milestone: it is the first year that global inference compute is projected to surpass training compute.
Training is when you build an AI model, which requires enormous, concentrated bursts of GPU power running for months. Inference is when you actually use that model, every time someone asks ChatGPT a question, every time an AI agent processes a document, every time a customer service bot handles a ticket.
Su described the broader AI ecosystem as increasingly intertwined, with hardware providers, model developers, and cloud operators working more collaboratively than competitively.
AMD has been building this position for a while #
The Anthropic deal did not come out of nowhere. AMD announced a partnership with OpenAI in October 2025, involving 6 gigawatts of GPU capacity. It followed that with a Meta partnership in February 2026. The Anthropic announcement in July 2026 completes a trifecta of relationships with the three most consequential AI model developers in the market.
AMD has reportedly committed around 20% of its equity across these AI partnerships.
What investors should watch #
First, the inference compute shift is a real demand driver. If Su’s projection is correct and 2026 marks the crossover point where inference exceeds training compute globally, the companies best positioned for inference workloads should see sustained demand growth.
Second, the equity investment model is becoming a pattern. AMD putting up to $5 billion into Anthropic mirrors the kind of strategic capital commitments that Microsoft made into OpenAI and that Google has made into Anthropic previously.
Third, the H1 2027 deployment timeline for the first Anthropic gigawatt is the next concrete checkpoint to watch.
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