Observed Signal · May 11, 2026 · Industry Analysis · Source: Exponential View · Impact: 4/5 · Sentiment: Negative
The broken bargain of Moore's Law
Exponential View authors Azeem Azhar and Hannah Petrovic argue that the long-standing economic premise of Moore’s Law — that each new generation of semiconductor tooling yields cheaper compute — may be unraveling. The article cites a Bloomberg report that TSMC does not plan to adopt ASML’s High-NA EUV lithography machines through 2029 because of cost, which could signal an end to the cost-down trend. It notes that the broad measure of cost per transistor stopped declining around 2011, while the narrower lithography metric (transistors per wafer‑dollar) improved with EUV adoption around 2019 but has now reversed. If leading foundries reject High-NA, the historical economics enabling cheaper, denser chips — and by extension cheaper cloud and AI compute — may be at risk.
A potential reversal of the cost-down economics in semiconductor manufacturing affects chip roadmap decisions, cloud and AI infrastructure costs, and capital investment by major foundries and equipment suppliers.
Track Bloomberg Signals & Market Shifts in Real-Time
Polaris7 autonomous intelligence agents track regulatory filings, primary sources, executive changes, and deal flow 24/7. Create your free Explorer workspace to monitor these entities.
Key Takeaways & Evidence Grounding
- Bloomberg reported that TSMC has no plans to use ASML’s High‑NA EUV machines through 2029, citing cost concerns.
- The article states the cost per transistor (broad measure) stopped falling around 2011.
- Transistors per wafer‑dollar (a lithography-centric metric) improved after industry adoption of EUV around 2019 but has recently reversed.
- Article published by Exponential View on 2026-05-11, authored by Azeem Azhar and Hannah Petrovic.
Connected Companies & Entities
1 Entity mappedOntology Mapping & Concepts
Related Market Signals & Shifts
Recent verified developments and strategic activity across this market segment.
TSMC Emerges as AI Compute Chokepoint
Gennaro Cuofano argues that Taiwan Semiconductor Manufacturing Company (TSMC) has shifted from a consumer-silicon foundry to the central factory for AI compute, and that Q1 2026 results show this is a structural change rather than cyclical. Key Q1 metrics include record revenue of US$35.9B (+40.6% YoY), a 66.2% gross margin, HPC accounting for 61% of revenue, 74% of wafers produced at 7nm or smaller nodes, and full-year 2026 guidance raised to over 30% USD growth. The author frames these outcomes as the primary constraint for AI scaling, tying TSMC’s capacity and pricing power into broader themes — NVIDIA’s moat, Apple’s supply-chain moves, and questions about market concentration and resource limits across the AI stack.
TSMC, Samsung commit to ASML's High NA EUV chip tools
TSMC and Samsung, the world's top chipmakers, have committed to using ASML's High NA extreme ultraviolet (EUV) lithography machines for future chip production, driven by growing demand for AI applications. Samsung plans to use the machines for DRAM memory production starting in 2028, while TSMC expects to adopt the technology for advanced chips around 2030. These tools cost about $400 million each. The announcements provide clarity for ASML's future growth, with investors seeing broader adoption as key. Intel already uses the technology. ASML plans to increase EUV capacity by about 30% in 2027. TSMC and Samsung will also join an initiative to advance next-generation 12-inch photomask technology, improving productivity and reducing costs.
Krugman: Chip Stocks Drop as AI Compute Demand Shifts
Paul Krugman comments on a sharp, semiconductor‑focused decline in tech stocks on June 24, 2026, noting large one‑day falls in the Philadelphia Semiconductor Index, South Korea's KOSPI semiconductor‑heavy index, and the NASDAQ. Krugman argues part of the market move reflects a recent shift in rhetoric about AI: businesses are reining in token‑heavy, compute‑intensive usage after providers began charging more, reducing near‑term compute demand. He cites an interview with Microsoft CEO Satya Nadella suggesting use of cheaper Chinese models (e.g., DeepSeek) and warns this may look like a quasi‑bubble/burst driven by social faddishness rather than fundamentals.
Track Real-Time Market Signals & Shifts
Set up custom watchlists to receive automated, evidence-grounded executive digests whenever material signals or shifts occur across your tracked landscape.