The semiconductor industry is undergoing a structural pivot that is rewriting the rules of market growth. While smartphones once served as the primary engine for chip demand, artificial intelligence is now aggressively displacing mobile hardware as the sector's dominant driver.

AI displaces smartphones as primary growth engine

At a recent TSMC symposium, Deputy COO Kevin Zhang signaled a massive shift in how value is distributed across the global tech ecosystem. According to Zhang, AI is evolving at a pace that exceeds previous industry expectations, fundamentally reshaping the roadmap for silicon demand.

The implications for the market's composition by 2030 are profound. TSMC now projects the global semiconductor market will reach $1.5 trillion by 2030—a significant 50% upward revision from the company's earlier forecast of just over $1 trillion. This expansion is being fueled by a massive reallocation of capital toward AI and High-Performance Computing (HPC), which Zhang expects will command roughly 55% of the market, or approximately $825 billion.

Zhang described AI as the most influential technology in human history.

By contrast, the smartphone segment's share of the total market is expected to shrink to just 20% by the end of the decade. Other emerging sectors, such as automotive and IoT applications, are projected to hold 10% each.

The dominance of the fabless-foundry model

This shift is not just about what is being built, but how it is being designed. Zhang emphasized that the fabless-foundry model remains the essential architecture of this era. This model, which separates complex chip design from the physical manufacturing process, allows companies to innovate rapidly by outsourcing the most capital-intensive production to specialized foundries like TSMC.

This trend is particularly visible in the development of specialized AI accelerators. Most modern high-performance chips are produced under this framework, allowing designers to focus on architectural efficiency while foundries manage the physics of extreme transistor density. As we previously explored in our earlier piece on TSMC 2-nanometer chip orders, the race for smaller, more efficient nodes is becoming a prerequisite for the next generation of edge AI and mobile computing.

Market trajectory and regional context

The transition to an AI-centric market follows a period of intense recovery and growth. Global semiconductor sales reached $791.7 billion in 2025, marking a 25.6% annual increase according to the Semiconductor Industry Association.

For the United States, the stakes are high. U.S.-based semiconductor companies currently command over 50% of global chip revenues, placing American design firms at the center of this AI-driven expansion. While the sheer volume of manufacturing remains concentrated in Asia, the intellectual property and architectural decisions driving the $1.5 trillion projection are heavily anchored in U.S. innovation hubs.

Industry forecasts from WSTS and SIA suggest the market is on track to hit between $975 billion and $1 trillion by 2026. This growth is being led by the Logic and Memory segments, as the hunger for massive data processing capabilities continues to outpace traditional consumer electronics cycles.