TLDRs
- AMD urges partners to increase AI chip output amid strong global demand.
- Supply constraints, especially packaging, continue limiting industry-wide production capacity.
- Major AI deals and cloud growth support AMD’s long-term revenue ambitions.
- Competition with Nvidia intensifies as both fight for limited manufacturing resources.
Advanced Micro Devices (AMD) is pushing its manufacturing partners to ramp up production of AI chips as global demand continues to surge, according to CEO Lisa Su.
Speaking in Taipei on May 22, Su emphasized that appetite for AI hardware remains exceptionally strong, driven by rapid adoption from cloud providers and large enterprises investing heavily in artificial intelligence infrastructure.
The move highlights how the semiconductor industry is struggling to keep pace with the explosive growth of AI workloads, where demand for high-performance processors has far outstripped available supply. AMD, a key competitor to Nvidia in the AI accelerator market, is now working closely with its supply chain to expand output capacity and reduce bottlenecks.
Advanced Micro Devices, Inc., AMD
AI Demand Pressures Supply Chains
AMD’s latest push comes as hyperscale cloud companies and enterprise customers continue scaling up AI spending. The company has been steadily increasing production of its newest AI-focused processors, including its MI300 series, which is designed to compete directly with Nvidia’s dominant H100 chips.
However, even as AMD ramps production, supply chain constraints remain a major challenge. The semiconductor industry is still dealing with limited availability of advanced manufacturing resources, particularly in high-end chip fabrication and packaging.
TSMC Partnership Under Spotlight
A significant portion of AMD’s manufacturing relies on Taiwan Semiconductor Manufacturing Company (TSMC), the world’s largest contract chipmaker. TSMC’s advanced packaging technologies, such as CoWoS, are essential for producing high-performance AI chips that combine multiple components into a single package for maximum efficiency.
But this packaging capacity has become a critical bottleneck. Industry demand for advanced packaging is estimated to be more than 30% above available supply, with shortages expected to persist through at least 2026 as expansion of production facilities takes time.
Big AI Deals Fuel Growth Ambitions
AMD’s aggressive production strategy is closely tied to major partnerships in the AI ecosystem. Reports indicate that collaborations with companies like OpenAI and Oracle could generate more than $100 billion in long-term revenue opportunities.
The company is targeting tens of billions of dollars in AI data center revenue by 2027, with expectations of roughly 80% compound annual growth in its AI data center segment over the next three to five years. These projections underscore AMD’s ambition to capture a larger share of the rapidly expanding AI infrastructure market.
Competing in a Tight Market
While AMD is positioning itself as a strong alternative to Nvidia, it still faces intense competition in a market where supply constraints are shaping outcomes as much as technology. Nvidia’s own production limits have created opportunities for AMD to secure orders from customers unable to access sufficient Nvidia chips.
At the same time, AMD must compete for the same scarce packaging and manufacturing resources as Nvidia and other emerging players developing custom AI chips for cloud platforms.
As AI demand continues to accelerate, access to advanced packaging capacity is becoming one of the most important factors determining market share in the semiconductor industry. AMD’s latest push reflects both the opportunity and the constraint defining the next phase of the AI hardware boom.


