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Up to three covered companies, band by band. Every call is a curated editorial judgment, never a disclosed figure — and every band carries its cited basis.

comparing TSMC×Applied Digital×Snowflake× maximum of 3 — remove one to swap
TSMC TSM ai moat: latest change 2026-04-16 Applied Digital APLD ai moat: latest change 2026-07-29 Snowflake SNOW ai moat: latest change 2026-03-20
Moat rating wide

TSMC's 2025 Form 20-F reports a 59.9% gross margin (up from 56.1% in 2024) and describes the company as "the technology leader among the dedicated foundries" in advanced (7-nanometer-and-below) node revenue — a durable, hard-to-replicate process-and-scale advantage that rivals with "greater financial and other resources" have not matched.

source: sec.gov

none

The FY2026 10-K (filed 2026-07-29) shows contracted revenue, not a demonstrated competitive edge. About 1,410 MW is leased under 15-year take-or-pay, non-cancellable base terms worth about $36.2 billion, but only about 100 MW of the roughly 1.5 GW that is contracted and either operating or under construction was operating and earning revenue at May 31, 2026, and Item 1A says "lessees may have the right to terminate applicable leases if there are significant delays in construction." Item 1A also concedes "We do not have the resources to compete with larger providers of similar products or services at this time," and the Competition section names 13 power-advantaged developers the company competes with. Signed leases give revenue visibility, but the filing does not show a durable advantage.

source: sec.gov

narrow

Narrow, not wide, because the FY2026 10-K documents a strong installed base and a competitive position the company itself says is under erosion. On the asset side: revenue of $4.7 billion (29% growth in each of the last three fiscal years), 13,328 total customers up from 10,996, 790 of the Forbes Global 2000 contributing about 43% of revenue, 733 customers above $1 million in trailing-12-month product revenue up from 576, a 125% net revenue retention rate, and more than 1,050 issued U.S. patents. Against that, Item 1A states plainly that adopting open data formats like Apache Iceberg means 'there is less customer “lock in” when our products are used in external environments' and that 'our support of open data formats may also reduce switching costs between us and our competitors'; that AWS, Azure and GCP 'generally compete in all of our markets' while also supplying the infrastructure a 'substantial majority of our business is run on'; and that the company remains loss-making at $1.3 billion of net loss for the year.

source: sec.gov

Moat type intangibles ip

Per its 2025 Form 20-F, TSMC "compete[s] primarily on process technologies, manufacturing excellence, customer trust and service quality" and has "been issued a substantial number of patents," with 2-nanometer in volume production in 2025 and 16-angstrom risk production targeted for 2026 — proprietary process-technology know-how and IP, not merely capital (the filing explicitly notes some competitors may have greater financial resources yet still trail), are the core barrier.

source: sec.gov

none

The 10-K claims three advantages: power-advantaged sites (it believes securing power and interconnection ahead of demand is 'the principal constraint on new HPC capacity and a core differentiator for us from many of our competitors'), a standardized 'franchise-style' design, and hyperscaler master service and master telecom service agreements 'that are difficult to obtain.' The filing does not show any of them to be durable. Its Competition section says competition 'centers on securing and developing sites with access to large-scale, reliable, and cost-competitive power and interconnection' and names 13 power-advantaged developers going after the same leases, and Item 1A concedes it lacks the resources to compete with larger providers. Signed leases are take-or-pay and non-cancellable, so a tenant leaving for convenience owes 'the full remaining contractual value,' but that is contractual lock-in on each lease rather than a moat source, so no moat type is assigned.

source: sec.gov

switching costs

The filing makes its own affirmative claim of network effects — 'Our business benefits from powerful network effects. ... The more customers adopt our platform, the more data can be exchanged with other Snowflake customers, partners, data providers, and data consumers' — but the load-bearing, quantified evidence in the document points to switching costs. The platform is sold as the way to 'consolidate data into a single source of truth,' and the disclosed economics of that consolidation are a 125% net revenue retention rate and 733 customers above $1 million in trailing product revenue. Item 1A confirms the mechanism by naming what is at risk: open formats produce 'less customer “lock in”' and 'may also reduce switching costs.' The filing frames lock-in, not network density, as the thing erosion would take away.

source: sec.gov

Leadership clear leader

Self-described in its 2025 20-F as "the technology leader among the dedicated foundries" in net revenue of advanced semiconductors at 7-nanometer and below; reached 2nm volume production in 2025, and Epoch AI estimates ~90% share of global advanced-node fabrication.

source: sec.gov

behind

The 10-K makes no leadership claim and gives no ranking or share figure. Item 1A concedes "We do not have the resources to compete with larger providers of similar products or services at this time" and that some rivals have "substantially greater liquidity and financial resources than we do." Its Competition section places APLD against established operators (Digital Realty, Equinix), hyperscalers that build their own capacity, independent developers and 13 named power-advantaged developers (IREN, Cipher Digital, TeraWulf, Hut 8, Riot, CleanSpark, HIVE, Core Scientific, Bitdeer, Galaxy Digital, Fermi, Keel Infrastructure, MARA).

source: sec.gov

co leader

The 10-K contains no ranking, market-share figure, or claim of leadership, and it names no non-hyperscaler competitor by name. The band rests on disclosed scale — $4.7 billion of revenue, 13,328 customers, 9,060 employees across 36 countries — set against the filing's own statement that 'many of our competitors have substantially greater brand recognition, customer relationships, and financial, technical, and other resources than we do.' Co-leader among independent cloud data platforms; not a leader over AWS, Azure and GCP, which the filing says compete in all of its markets.

source: sec.gov

Pricing power strong

2025 gross margin of 59.9% (up from 56.1% in 2024), attributed in the 20-F to higher capacity utilization and cost improvement, reflects strong pricing power at the leading edge despite the heavy capital intensity of new-node ramps.

source: sec.gov

weak

Item 1A says "Due to the limited number of hyperscalers, we expect that a limited number of customers will continue to account for a high percentage of our revenue for the foreseeable future," and that if customers' equipment usage declines or they discontinue use of its facilities, APLD "may be compelled to lower our lease prices in some instances or risk losing a significant customer." One customer was 59% of FY2026 revenue from continuing operations. Take-or-pay, non-cancellable terms protect contracted revenue over the base term, and Note 19 reports a $39.1M HPC Hosting segment profit on $385.3M of segment revenue in FY2026, but those terms are agreed with a small group of concentrated buyers.

source: sec.gov

moderate

The consumption model plus 125% net revenue retention shows real expansion pricing, and the filing argues it competes on 'pricing transparency and optimized price-performance.' But Item 1A limits how far that goes: competition 'may negatively impact our ability to acquire new customers ... put downward pressure on our prices and gross margins'; the company 'may not be able to ... offer as many discounts or free services as our competitors'; results depend on 'changes in our pricing model, including in response to significant price discounts by our competitors' and on 'customer optimization efforts that result in reduced consumption.' On the cost side, 'our costs and gross margins are significantly influenced by the prices we are able to negotiate with these public cloud providers, which in certain cases are also our competitors.'

source: sec.gov

Summary

TSMC is the world's largest dedicated semiconductor foundry and, per its 2025 Form 20-F, the self-described technology leader among dedicated foundries in advanced (7nm-and-below) node revenue, having reached 2-nanometer volume production in 2025 with 16-angstrom risk production on track for 2026. Independent research (Epoch AI) estimates it controls roughly 90% of global advanced-node fabrication; sustained by US$7.9 billion of 2025 R&D, a large patent portfolio and 59.9% gross margins, this process-technology and scale advantage has proven durable even against rivals with greater financial resources.

Applied Digital designs, builds and operates purpose-built, liquid-cooled HPC data centers, which it calls 'AI factories', and leases the capacity to CoreWeave and investment-grade hyperscalers. At May 31, 2026 its 10-K lists five campuses (Polaris Forge 1-3 and Delta Forge 1-2) with about 1,410 MW contracted under roughly 15-year take-or-pay, non-cancellable leases worth about $36.2 billion over the base terms. The filing claims three sources of advantage: it controls power-advantaged sites, it uses a standardized 'franchise-style' design built to deliver about 150 MW in about 14 to 18 months, and it holds hyperscaler master agreements that are 'difficult to obtain.' The same document shows how early the company is. About 100 MW was operating and earning revenue. One customer was 59% of FY2026 revenue from continuing operations. It competes with Digital Realty, Equinix, hyperscalers that build their own capacity and 13 named power-advantaged developers, and it concedes that it lacks the resources to compete with larger providers. Signed leases give long-dated revenue visibility, but the filing does not show a durable competitive advantage.

Snowflake's advantage in its FY2026 10-K rests on being the consolidation point for enterprise data: a multi-cluster shared-data architecture with proprietary columnar storage and automatic micro-partitioning, delivered across three major public clouds and 53 interconnected regional deployments, that customers adopt as a single governed source of truth and then expand on — 125% net revenue retention, 790 of the Forbes Global 2000 as customers. The filing layers a collaboration claim on top, with sharing 'generally without copying or moving the underlying data' and a Marketplace of 'hundreds of live, ready-to-query third-party data sets and data products.' The same document is unusually candid about the counter-pressure: Iceberg and open formats reduce lock-in by the company's own account, the three hyperscalers compete across every market while setting the cloud costs that 'significantly influence' gross margins, and frontier AI model providers 'may seek to vertically integrate ... by expanding into the data storage and management layers.'

Chain position

The critical leading-edge fabrication and advanced-packaging (CoWoS) layer of the AI supply chain — high-performance computing was 58% of TSMC's 2025 revenue, and it supplies leading-edge N2/N3/N4 logic to the fabless IC-design and system companies that design AI accelerators.

Developer and landlord of power-advantaged, liquid-cooled AI data-center capacity, leased long-term to CoreWeave and investment-grade hyperscalers.

Sits at the enterprise data and governance layer of the AI stack, and the AI exposure is explicit rather than incidental: the filing brands the product the 'AI Data Cloud,' lists AI as a product category, and put Snowflake Intelligence, Cortex Agents and a Managed MCP Server into general availability during the fiscal year. It is a buyer of hyperscaler compute and of third-party frontier models — 'strategic partnerships with foundational model providers deliver state-of-the-art models natively within Snowflake Cortex AI,' with stated 'model neutrality' — and a supplier of governed enterprise data and GPU-backed managed compute to AI applications built on top.

Products (share / barrier)
  • Advanced packaging (CoWoS) Leader · Deep source: epoch.ai
  • Leading-edge foundry (advanced-node logic, 7nm and below incl. N3/N2) Leader · Deep source: sec.gov
  • Mainstream & specialty foundry technologies Top 3 · Moderate source: sec.gov
  • Blockchain data center hosting (Jamestown / Ellendale) Niche · Low source: sec.gov
  • HPC data center leasing (Polaris Forge / Delta Forge AI factories) Challenger · Moderate source: sec.gov
Long-horizon vote +0.42 at weight 0.20 · swarm bullish

Editorial prior, not backtested.

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-0.20 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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+0.13 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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