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The FY2025 10-K (filed 2026-01-23) repeats the concession, now broadened: 'we have lost market share in recent years, including in both client and data center markets, in the market for x86-based semiconductor products, and more generally in the markets for semiconductor compute products, as competitors have introduced highly competitive data center and client platform products.' It adds that the data-center business 'has been further negatively impacted in the past few years by the significant shift of customer spend toward GPUs optimized for AI workloads' — a historically wide moat still actively eroding.

source: sec.gov

The FY2025 10-K's own Competition section undercuts any claim of insulation: 'The industries in which we operate are highly competitive, and we compete with thousands of companies that range from large multinational corporations to local manufacturers', competition is 'generally based on breadth of product offering, product innovation, price, quality, delivery, and service', and TE has 'experienced, and expect[s] to continue to experience, downward pressure on prices'. The same filing explicitly disclaims IP as the basis of its position: 'we do not believe that our competitive position or our operations are dependent upon or would be materially impacted by any single patent or group of related patents.' What TE does hold is durable rather than absolute — it calls itself 'one of the leading providers of advanced automobile connectivity solutions', its Industrial segment 'a leading supplier', and it converted that position into rising profitability across the same filing's three income statements (gross margin 31.5% of net sales in FY2023, 34.4% in FY2024, 35.2% in FY2025). A position that earns expanding margins into admitted price pressure is an advantage; one held against thousands of competitors and no decisive patent is not a wide one.

source: sec.gov

Wide: the CUDA software platform and its developer installed base create high switching costs across the AI-training stack, defended by $76.7B cumulative R&D and reinforced by ~71% FY2026 gross margins and Data Center revenue (~90% of total) up 68% YoY — durable, hard-to-replicate advantages per the FY2026 10-K.

source: sec.gov

The durable assets remain the x86 architecture and process-technology IP: the FY2025 10-K claims 'We are a global leader in the design and manufacturing of CPUs and other semiconductor products' and stakes the recovery on process IP — 'Intel 18A introduces two industry firsts in high-volume semiconductor manufacturing: gate-all-around transistors (RibbonFET) and backside power delivery (PowerVia).'

source: sec.gov

The FY2025 10-K locates the advantage at the customer, not in patents. It describes 'close working relationships with many of our customers' whose 'relationships with them typically date back many years', and co-development as the mechanism: 'By working with our customers in developing new products and technologies, we believe we can identify and act on trends and leverage knowledge about next-generation technology across our products.' Roughly 75% of fiscal 2025 net sales were direct to manufacturers rather than through distribution, and the Transportation segment's products 'must withstand harsh conditions' — parts engineered in with the customer and built to survive the application, so the position sits inside the customer's design rather than in a purchase order. The filing rules the alternative out in its own words on intellectual property, so intangibles_ip is not the source; the 'thousands of companies' in Competition rules out efficient_scale.

source: sec.gov

The durable edge rests on proprietary IP and software: the full-stack CUDA development platform running on all NVIDIA GPUs plus hundreds of proprietary domain libraries/SDKs/APIs, and $76.7B cumulative R&D yielding "inventions that are essential to modern computing" (NVIDIA invented the GPU in 1999). This is reinforced by developer-ecosystem network effects and CUDA switching costs, per the FY2026 10-K Business section.

source: sec.gov

The FY2025 10-K still opens 'We are a global leader in the design and manufacturing of CPUs', yet concedes lost share 'in both client and data center markets' and a spend shift 'toward GPUs optimized for AI workloads' where Intel participates via 'Xeon, AI PCs, Arc GPUs and our open software stack' plus 'inference-optimized GPUs on a targeted annual cadence' — following the AI compute market rather than setting its pace.

source: sec.gov

The FY2025 10-K claims leadership in qualified form and then names the peers who contest it. Transportation Solutions 'is a leader in connectivity and sensor technologies' and TE is 'one of the leading providers of advanced automobile connectivity solutions' — one of, not the — while the segment's 'major competitors include Yazaki, Aptiv, Sumitomo, Sensata, Honeywell, Molex, and Amphenol'. Industrial Solutions 'is a leading supplier of products that connect and distribute power, data, and signals' and 'competes primarily against Amphenol, Hubbell, Carlisle Companies, Integer Holdings, Molex, Omron, JST, and Korea Electric Terminal (KET)'. Amphenol and Molex appear on both lists, so TE shares the top of the interconnect market rather than owning it.

source: sec.gov

FY2026 Data Center revenue was $193.7B (~90% of the $215.9B total), up 68% YoY on the Blackwell ramp, and NVIDIA describes itself as "a data center scale AI infrastructure company reshaping all industries." The 10-K frames named rivals as parties who "provide or intend to provide" GPUs/accelerators — incumbent-leader positioning.

source: sec.gov

The FY2025 10-K states the mechanism itself: higher-priced products 'have lower margins as they are produced at external foundries rather than in our manufacturing facilities. To the extent demand shifts from our higher-margin to lower-margin products in any of our market segments, our gross margin percentage has decreased and may decrease again' — plus $878 million of 2025 inventory reserves on the early Intel 18A ramp.

source: sec.gov

The FY2025 10-K states both halves plainly: TE has 'experienced, and expect[s] to continue to experience, downward pressure on prices. However, as a result of increased costs and tariffs, certain of our businesses implemented price increases in recent years.' Pass-through, not price-setting. The realised result is margin expansion rather than erosion — gross margin of 31.5% of net sales in FY2023, 34.4% in FY2024 and 35.2% in FY2025 per the same filing's income statements, and 36.5% ($5,319M on $14,573M) for the nine months to 26 June 2026 versus 35.3% a year earlier, with Q3 FY2026 GAAP operating margin of 19%, per the 22 July 2026 results release (https://www.sec.gov/Archives/edgar/data/1385157/000110465926085589/tel-20260722xex99d1.htm). Strong would require pricing that leads rather than follows cost; weak is contradicted by three years of expanding gross margin.

source: sec.gov

FY2026 gross margin was 71.1% (75.0% in FY2025); per the 10-K MD&A the ~3.9pt decline reflects the Hopper HGX→Blackwell full-system mix shift and a one-time $4.5B H20 excess-inventory/purchase-obligation charge, not competitive price erosion. A low-70s% hardware gross margin evidences strong pricing power.

source: sec.gov

x86 compute incumbent and would-be US leading-edge foundry; its 18A/14A ramp is the main Western alternative to TSMC at the leading edge.

TE is an upstream component supplier to the AI build-out, not a participant in compute. It sells 'connectivity and sensor solutions [that] enable the distribution of power, signal, and data to advance next-generation transportation, energy networks, automated factories, data centers enabling artificial intelligence', about 75% of it direct to manufacturers across roughly 130 countries. AI exposure runs through one end market: digital data networks was 28% of Industrial Solutions, and Industrial Solutions was 46% of fiscal 2025 net sales — so the datacenter line is a minority of a company still 54% transportation. That minority is where the growth now is: digital data networks net sales rose 34.2% in Q3 FY2026 and 48.8% over the nine months, and energy rose 34.4% in the quarter, the CEO tying both to AI momentum 'in both the data center and across the broader energy infrastructure' (https://www.sec.gov/Archives/edgar/data/1385157/000110465926085589/tel-20260722xex99d1.htm).

Upstream compute-platform supplier: NVIDIA sells full-stack data-center systems (GPU + Arm CPU + DPU + NVLink/InfiniBand networking + CUDA software) to cloud providers and enterprises, and relies on third-party foundry/assembly-test-packaging partners (e.g., SPIL, Amkor, Wistron, Fabrinet). Per the FY2026 10-K, several of its largest customers (hyperscalers such as Amazon, Alphabet, Microsoft) are simultaneously customers and emerging competitors developing internal accelerated-computing silicon.

• AI accelerators (Gaudi and inference-optimized GPUs) Niche · Moderate source: sec.gov
• Intel Core / Core Ultra (client PC CPUs) Leader · Moderate source: sec.gov
• Intel Foundry (leading-edge contract manufacturing) Niche · Deep source: sec.gov
• Intel Xeon (data center CPUs) Leader · Moderate source: sec.gov

• Aerospace, defense, and marine interconnect Challenger · Deep source: sec.gov
• Automotive terminals and connector systems Top 3 · Deep source: sec.gov
• Digital data networks connectivity Top 3 · Moderate source: sec.gov
• Energy connection and protection products Challenger · Moderate source: sec.gov
• Sensors Challenger · Moderate source: sec.gov

• CUDA accelerated-computing software platform (CUDA-X, NVIDIA AI Enterprise) Leader · Deep source: sec.gov
• Data Center AI accelerators (GPU — Blackwell/Hopper) Leader · Deep source: sec.gov
• Data-center networking / interconnect (NVLink, InfiniBand, Spectrum Ethernet, DPUs) Top 3 · Moderate source: sec.gov

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