According to Taiwan’s Commercial Times, TSMC continues to face challenges from ongoing price undercutting and competitive bidding in mature semiconductor manufacturing processes. Concerns arise about the company’s ability to offset these challenges with AI-related orders. Reports from the market suggest that on July 20th, TSMC revised down its fiscal forecast for the year for the second time, slashing its annual revenue target (in USD) from an anticipated decline of 1% to 6% to a significant reduction of 10%. However, given the persistent sluggish economic conditions of late, there is speculation of a potential third adjustment that could lead to a year-on-year revenue decline of 12%.
In the current investment landscape, artificial intelligence has become a focal point this year. Additionally, the strong demand for CoWoS packaging has contributed to a positive outlook for TSMC. However, it’s important to note that AI’s contribution to TSMC’s overall revenue is not substantial.
Using the popular H100 model from NVIDIA as an example, it only impacts TSMC’s performance in the N4 manufacturing process. This limited contribution falls short of countering the downward trend in consumer product demand utilizing the N3 and N7 manufacturing processes.
Market Speculations Emerge About TSMC’s Performance and Challenges
Market sources indicate that TSMC’s performance in mature processes (7nm and above) accounted for 47% of its output in the second quarter. While prices managed to hold steady in the first half of the year, ongoing softness in end-user demand has prompted Chinese manufacturers to engage in aggressive expansion, price reduction, and competition for orders, which inevitably impacts TSMC. There are even reports circulating about a potential loosening of 7nm production capacity.
In response, TSMC stated that its perspective and outlook on market demand align with the contents of its July press conference. As of now, no new updates are available. Furthermore, TSMC refrains from commenting on market speculations or shifts in customer business dynamics.
(Photo credit: TSMC)