TSMC is one of the least sensational management teams in the AI stocks space, yet management explicitly called AI a multi-year “megatrend” in their most recent earnings call, with demand now being pulled not just by chip designers, but directly by hyperscale cloud providers seeking to lock in capacity.
Management stated:
“Our customers’ customers, who are mainly the cloud service providers, are also providing strong signals and reaching out directly to request the capacity to support their business. Thus, our conviction in the multiyear AI megatrend remains strong, and we believe the demand for semiconductor will continue to be very fundamental.”Thus, our conviction in the multiyear AI megatrend remains strong, and we believe the demand for semiconductor will continue to be very fundamental.”
When the world’s most advanced foundry says hyperscalers are coming to them directly for capacity, it signals that AI demand remains foundational. Perhaps most importantly, TSM is not a “flip the switch” business model to where demand can be turned on and turned off quickly. Wafer capacity must be planned years in advance, which makes these signals particularly meaningful.
TSMC already sits beneath tens of trillions of dollars in market capitalization, with customers including Apple, Nvidia, Broadcom, Amazon, AMD, and Google. While each is pursuing AI through a different mix of merchant GPUs, custom silicon, and software, they all converge at the same point: TSMC’s advanced manufacturing. As the roadmap progresses to N2 and A16, customer dependence on TSMC’s leading-edge capacity increases.
The company reported record Q4 revenue of $33.73 billion, up 25.5% year over year and 1.9% sequentially, exceeding the midpoint of guidance by 2.8%. But the more important takeaway was not the quarter, rather it is the visibility that TSMC provides.
Below, we break down how this multi-year AI megatrend translates into durable visibility for TSMC, expands pricing power for advanced nodes, and a longer runway for earnings growth on arguably one of the strongest AI stocks on the bottom-line in the space.
TSMC Raises AI Accelerator Forecast to mid to high 50% CAGR: Evidence of a Multiyear Megatrend
TSMC stands out as the most reliable barometer for tracking AI demand trends. During the Q4 earnings call, management raised the forecast for revenue growth for AI accelerators to a mid- to high 50% CAGR over the 5-year period from 2024 to 2029, up from the mid-40% CAGR provided during the Q4 2024 earnings call. This conveys strongly that AI demand is expanding.
Similarly, the company’s long-term revenue growth forecast was raised to 25% CAGR in U.S. dollar terms for the 5-year period starting from 2024 from the earlier 20% CAGR provided during the Q4 2024 earnings call. Management expects AI accelerators to drive the largest share of incremental revenue growth, while overall growth will continue to be supported by smartphones, high-performance computing (HPC), IoT, and automotive over the next several years.
AI accelerator revenue accounted for a high-teens percentage of total revenue in 2025, up from the mid-teens in 2024. As manufacturing complexity continues to rise, engagement lead times for advanced chips have extended to at least two to three years and thereby providing better long-term visibility.
The company’s capex in 2025 grew by 37.4% YoY to $40.9 billion. Management expects 2026 capex in the range of $52 billion to $56 billion, implying a YoY growth of 32% at the midpoint. Notably, 70–80% of 2026 spending will be allocated to advanced process technologies (7nm and below), signaling management’s confidence in sustained, long-term demand driven by AI. TSMC takes two to three years to build a new fab with the increase in 2026 capex spending suggesting strong structural growth for the years 2028 and 2029.
Responding to an analyst’s question on whether the industry is in an AI bubble, Chairman and CEO C.C. Wei gave a grounded answer. “Okay. Gokul, you essentially try to ask us, say, whether the AI demand is real or not. I’m also very nervous about it. You bet because we have to invest about USD 52 billion to USD 56 billion for the CapEx, right? If we didn’t do it carefully, and that would be big disaster to TSMC for sure.” Management mentioned that they spent $101 billion in capex in the last three years and they expect capex to be significantly higher in the next three years.
Advanced Nodes: Why TSMC’s Semiconductor Moat is Widening
While 2nm defines the next phase of the roadmap, 3nm remains the node supporting most AI deployments today.
The company’s advanced 3nm node offers roughly 15% better performance than 5nm at equal power and transistor density, with die sizes estimated to be ~42% smaller. TSMC also states the 3nm process can reduce power consumption by up to 30%, underscoring power efficiency as a key competitive advantage.
This efficiency helps deepen TSMC’s moat. While Samsung introduced 3nm chips in 2022, it has lagged TSMC on yield and power efficiency by an estimated 10%–20%. This advantage is reflected in pricing power, with TSMC charging roughly 25% more for 3nm versus 5nm, as customers are willing to pay a premium to avoid Samsung.
TSMC offers multiple 3nm variants, including N3E, N3P, and N3X, allowing customers to tailor designs across consumer and AI workloads. N3E serves as the baseline IP platform, delivering approximately 18% higher performance and 34% lower power versus N5. N3P provides incremental performance and efficiency gains, while N3X is optimized for high-performance computing at the expense of higher leakage.
The company entered volume production of its most advanced node, N2, in 4Q 2025, marking a transition from FinFET to gate-all-around (GAA) transistor architecture. By wrapping the gate around all sides of the channel, GAA improves electrostatic control and reduces leakage versus FinFET designs.
N2 introduces NanoFlex technology, enabling designers to mix cell types and optimize for performance or power by adjusting nanosheet dimensions. According to management on the Q2 2025 earnings call, N2 delivers 10%–15% speed improvement at the same power or 20%–30% power reduction at the same speed, along with more than 15% chip density gains versus N3E.
TSMC expects strong demand from both smartphones and AI HPC applications, with a rapid ramp in 2026. The company also introduced N2P, an enhanced version of N2, with volume production scheduled for the second half of 2026. Additionally, A16, featuring super-power rail (SPR) technology for complex HPC designs, is also on track for volume production in the second half of 2026.
As chips migrate to advanced nodes—such as Nvidia’s Rubin moving to 3nm and AMD building GPUs and CPUs on 2nm—TSMC stands to benefit from rising pricing power, as these nodes command significant wafer premiums in exchange for material performance and power efficiency gains.
