Markets / Industries / Semiconductors
Industry view · Semiconductors
Semiconductors stopped being a cyclical commodity business and became the physical chokepoint of the AI economy. Global chip sales hit $772 billion in 2025 and are tracking toward roughly $975 billion in 2026, with essentially all of the upward revision driven by AI demand while non-AI end markets stayed soft.
01 · The thesis
The AI cycle has concentrated value, not spread it. A single foundry (TSMC) fabricates the accelerators for all five US hyperscalers plus Broadcom; a single equipment maker (ASML) holds 100% of EUV lithography; and a memory triopoly (SK Hynix, Samsung, Micron) controls the high-bandwidth memory that every AI chip needs — with all 2026 HBM capacity sold out. The binding constraint is no longer wafer starts but advanced packaging: TSMC's CoWoS lines have been fully booked with 52-78 week lead times even as capacity roughly tripled in two years.
The second-order story is that AI is now designing the chips that run AI. Synopsys and Cadence have pushed reinforcement-learning and agentic tools into place-and-route and verification, with customers reporting 5-10x productivity gains and AI methods now touching 20-40% of leading-edge designs. That compresses design cost and time-to-market — and lowers the barrier for hyperscalers building custom silicon to escape Nvidia's margin.
Reinforcement-learning and generative tools automate floorplanning, optimization and verification, cutting workflows from days to minutes.
Hyperscalers commission bespoke accelerators (XPUs/TPUs) to cut cost and dependence on Nvidia, reshaping who captures design value.
Leading-edge logic (3nm/2nm) and AI accelerator volume concentrate in one foundry, making capacity allocation a geopolitical lever.
AI accelerators are memory-bound; HBM supply is sold out through 2026 and pricing is in a structural shortage.
CoWoS interposers and EUV/High-NA tools are the gating capacity; lines stay booked even as output expands fast.
02 · Public players & exposure
We plot the listed players on two editorial axes — how exposed each is to AI disruption, against how ready its data, brand and position are to be the answer. The figures in the table are sourced; the placement is our read.
| Company | Stance | The sourced fact |
|---|---|---|
| NvidiaNVDA | Dominant incumbent | FY2026 revenue hit $215.9B (+65%) with data-center revenue of $193.7B and 71.1% full-year gross margin; holds roughly 80-90% of the AI accelerator market (Nvidia FY2026 results; Counterpoint/Silicon Analysts). |
| TSMCTSM | Indispensable foundry | Q3 2025 revenue of $33.1B (+30.3% YoY) with HPC at 57% of sales and ~71% global foundry share; AI revenue ~$30B, about 24% of 2025 sales (TSMC investor materials; Counterpoint). |
| ASMLASML | EUV monopoly | Record €32.7B net sales in 2025 with 100% EUV market share and 2026 guidance raised to €36-40B on AI-driven demand (ASML Q4 2025 results). |
| BroadcomAVGO | Custom-silicon king | FY2025 AI revenue of $20B (+65%); Q1 FY2026 AI revenue $8.4B (+106%) with a $73B backlog and a stated target above $100B in AI chip revenue by 2027 (Broadcom earnings; Tom's Hardware). |
| SK Hynix000660.KS | HBM leader | Record 2025 revenue of 97.1T won (+~50%) and 47.2T won operating profit (doubled YoY); ~57-62% HBM market share with all 2026 capacity sold out (CNBC; Counterpoint). |
| AMDAMD | Credible #2 | Q3 2025 record revenue of $9.2B (+36% YoY); Instinct MI-series generated an estimated $7-8B in 2025 for roughly 5-7% accelerator share, with an OpenAI multi-gigawatt deal signed (AMD earnings; Silicon Analysts). |
| MicronMU | Memory third | Holds ~21% of HBM revenue share, expects to sell out 2026 HBM capacity and guided toward an ~$8B HBM annualized run-rate (Counterpoint; Reuters). |
| IntelINTC | Turnaround bet | 2025 revenue of $52.9B (roughly flat); 18A ramped into volume but external foundry revenue was only $307M, and custom AI processors reached just a >$1B run-rate against a $100B TAM (Intel 10-K/annual report; Investing.com). |
| CerebrasCBRS | Wafer-scale challenger | Raised $1.1B at an $8.1B valuation in 2025, then priced a 2026 IPO at $185/share raising $5.55B at a fully diluted valuation near $56B (IntuitionLabs; Metaintro/EE Times). |
| GroqGROQ-pvt | Inference upstart | Raised a large 2025 round lifting its valuation to about $6.9B on an LPU architecture built for low-latency inference (IntuitionLabs). |
03 · The two clocks
Three timers running against the sector — and against each other.
Capacity clock: TSMC's CoWoS advanced-packaging demand roughly tripled from ~370,000 wafers in 2024 to ~670,000 in 2025 and is approaching ~1.0 million in 2026, yet lines stay booked with 52-78 week lead times — the gating constraint on every AI accelerator (Silicon Analysts).
Memory clock: HBM is sold out through 2026, DRAM market revenue grew 260% YoY in Q1 2026, and analysts warn of a memory pricing shortage that could persist for years as AI data centers absorb supply (Counterpoint; Deloitte).
Concentration clock: Nvidia's data-center revenue grew from $47.5B (FY2024) to $193.7B (FY2026) in two years, now ~90% of company revenue — even as hyperscaler custom ASICs, a ~$30B market growing 30%+ annually, emerge as the faster threat (Nvidia 10-K; JPM).
04 · Private flagships
The companies attacking this industry AI-first, with disclosed funding where available:
Blackwell and the coming Rubin generation anchor the accelerator market; Jensen Huang cites $500B+ in booked Blackwell/Rubin orders and partnerships to deploy 10GW for OpenAI alone.
Mass-producing 2nm and ramping a $165B US expansion while managing the geopolitical exposure of fabricating nearly all advanced AI silicon in Taiwan.
Co-designs TPUs/XPUs for Google, Meta, OpenAI and Anthropic; signed a Google supply agreement running through 2031 and a 10GW OpenAI accelerator deal.
Pursues training and inference with the largest single chip ever built; 2026 IPO was the year's biggest tech debut, with shares up 68% on day one.
Deterministic LPU architecture targets ultra-low-latency LLM serving, the highest-volume recurring AI workload as inference overtakes training in spend.
Led by chip-design veteran Jim Keller, it bets on an open, CUDA-free RISC-V plus AI-accelerator stack manufactured on Samsung 4nm.
05 · Signals
WSTS raised the 2026 global chip outlook by ~$175B in December 2025 — driven entirely by AI demand, with weakness in non-AI markets (Deloitte).
Anthropic committed to up to 1M TPU chips, then a further multi-gigawatt TPU deal for 2027, the single largest external AI-ASIC arrangement to date (Hashrate Index).
SK Hynix posted 47.2T won 2025 operating profit, beating Samsung for the first time, as HBM shortages pushed memory pricing into a structural up-cycle (CNBC).
TSMC began N2 production with monthly capacity scaling toward 200,000 wafers by 2028; 2nm orders surged despite ~$30,000 wafer pricing (DigiTimes/Jukan).
Cerebras' blockbuster IPO and Groq's mega-round signaled the market is again ready to fund large semiconductor challengers (EE Times).
06 · The exposure read
AI rewards clean, structured advantage and punishes friction. The line runs through who owns the data, the brand and the customer — and who is merely a step the technology can route around.
Sources
WSTS / SIA — 2025 global sales $772B, 2026 ~$975B · Deloitte — 2026 Global Semiconductor Industry Outlook (AI-chip ~$500B) · Nvidia — Q4 & Fiscal 2026 financial results ($215.9B, $193.7B DC) · Nvidia — Q3 Fiscal 2026 results · Silicon Analysts — AMD vs Nvidia AI GPU market share 2026 · TSMC at the center of the AI boom — Q3 2025 (LongYield) · Silicon Analysts — TSMC CoWoS sold out, 2nm booked · ASML — Q4 2025 financial results (€32.7B, 100% EUV) · Tom's Hardware — Custom AI ASIC state of play (Broadcom, TPU, MTIA) · Yahoo/Motley Fool — Broadcom FY2025 AI revenue $20B (+65%) · CNBC — SK Hynix record 2025 profit, overtakes Samsung · Counterpoint — Global DRAM & HBM market share · Intuition Labs — Cerebras vs SambaNova vs Groq (funding/valuations) · Cadence — Chip design AI inflection point (5-10x productivity)