AMD CEO Lisa Su’s Taipei Visit Ahead of Computex 2026: Purpose, Meetings, and AI Vision

AMD CEO Lisa Su’s brief visit to Taipei in May 2026 comes just days before the opening of Computex 2026, one of the world’s largest technology trade shows. The trip combines public appearances with behind‑the‑scenes industry engagement, reflecting Taiwan’s central role in the global semiconductor and AI ecosystem.

Her itinerary highlights three themes: strengthening relationships with Taiwan’s supply chain, participating in a major AI forum ahead of Computex, and reinforcing AMD’s long‑term vision for an AI‑driven computing era.

Why Lisa Su Traveled to Taipei Before Computex

Computex 2026 runs from June 2–5 in Taipei, drawing semiconductor leaders, hardware manufacturers, and AI companies from around the world. The event increasingly focuses on artificial intelligence infrastructure and the companies building it.

Arriving in Taiwan shortly before the show allows AMD to coordinate with key partners and position itself in the rapidly intensifying AI chip competition. Taiwan plays a critical role in that ecosystem, hosting many of the world’s most important semiconductor manufacturing and hardware partners.

Reports surrounding the visit describe it as a pre‑Computex engagement with Taiwan’s technology ecosystem, particularly in areas such as advanced semiconductor manufacturing, packaging, and AI server systems.

Key Public Event: The CommonWealth Magazine AI Forum

The most visible part of Su’s trip is her scheduled appearance on May 22 at CommonWealth Magazine’s 45th‑anniversary flagship forum in Taipei. At the event, she is expected to participate in a high‑level dialogue discussing:

• The global AI boom and the evolution of computing
• AMD’s strategy in the AI hardware race
• Taiwan’s role in the international semiconductor supply chain
• Partnerships between chip designers and hardware manufacturers

The forum, held at the Taipei Marriott Hotel, gathers business leaders and industry executives to examine technology shifts driven by artificial intelligence. Su’s session focuses on strategy, computing power, and the future of AI infrastructure.

Possible Supply‑Chain Meetings in Taiwan

Beyond the public forum, Su’s schedule reportedly includes closed‑door meetings with industry partners, though details are limited.

Some media reports speculate that she could meet executives from Taiwan Semiconductor Manufacturing Co. (TSMC) and other suppliers to discuss manufacturing capacity and future chip production. However, those meetings have not been officially confirmed.

Such discussions would be typical ahead of major industry events like Computex, especially as demand for advanced AI processors increases and semiconductor companies compete for cutting‑edge fabrication capacity.

Her Asia Trip Before Taipei

Su’s Taiwan visit follows a rapid series of stops across Asia. Before arriving in Taipei, she traveled to China where she:

• Met with Chinese Vice Premier He Lifeng in Beijing
• Spoke at AMD’s AI Developer Day in Shanghai

At that event, she outlined AMD’s view of the next stage of the AI industry and its expanding user base.

Lisa Su’s Big AI Predictions

During her Shanghai remarks, Su emphasized how quickly artificial intelligence adoption is accelerating.

One of her most widely cited projections is that the number of people using AI daily could reach around 5 billion within the next five years, up from roughly 1 billion today.

This massive growth, she argues, will push computing infrastructure to expand dramatically across cloud platforms, enterprise systems, and everyday devices.

The Emerging “Agent Era” of AI

Su also described what she calls the next phase of AI development: the “agent era.”

In this model, AI systems go beyond simple chat interfaces and instead operate as autonomous agents that can:

• Break down complex tasks
• Call tools or software services
• Verify results and iterate

Because these AI agents perform multi‑step workflows rather than single prompts, they require more robust computing resources to operate reliably.

Why CPUs Will Matter More in AI

While much of the AI boom has focused on GPUs and specialized accelerators, Su argues that CPUs will become increasingly important in an agent‑driven AI environment.

Autonomous AI systems rely heavily on general‑purpose processing to coordinate tasks, manage data flow, and orchestrate multiple services. As AI workloads grow more complex, CPUs work alongside accelerators to support these operations.

That perspective aligns with AMD’s broader strategy of building a full stack of high‑performance processors—CPUs, GPUs, and AI accelerators—for data centers, PCs, and edge devices.

Taiwan’s Role in the AI Hardware Ecosystem

Su’s presence in Taipei also underscores Taiwan’s strategic importance to the AI industry. The island hosts a dense network of semiconductor manufacturing, chip packaging, and server hardware companies that collectively power much of the global AI infrastructure.

With the AI race accelerating and Computex approaching, visits from executives like Su—and other industry leaders—highlight how the future of artificial intelligence is increasingly tied to this hardware ecosystem.

In that sense, the Taipei trip is both symbolic and practical: a chance to signal AMD’s ambitions in the AI era while strengthening the partnerships that make those ambitions possible.