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Compare moats

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 Microsoft×Applied Digital×Nebius Group× maximum of 3 — remove one to swap
Microsoft MSFT ai moat: latest change 2026-07-29 Applied Digital APLD ai moat: latest change 2026-07-29 Nebius Group NBIS ai moat: latest change 2026-04-30
Moat rating wide

The FY2026 10-K (filed 2026-07-29) restates both structural mechanisms verbatim. On cost: the cloud business 'benefits from three economies of scale' — datacenters with 'significantly lower cost per unit than smaller ones', demand aggregation, and multi-tenancy that lowers maintenance labor. On ecosystem: 'A well-established ecosystem creates beneficial network effects among users, application developers, and the platform provider that can accelerate growth.' Both are load-bearing at the new scale — 'Microsoft Cloud revenue increased 27% to $214.4 billion' and 'Commercial remaining performance obligation increased 84% to $678 billion.' Rated wide but held below full confidence because the same filing still cautions that 'Barriers to entry in many of our businesses are low.'

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

The FY2025 20-F positions Nebius as 'one of the few global, at scale, multi-tenant clouds purpose built for AI,' but the same filing names its central dependency plainly: 'We currently rely on Nvidia for the GPU chips we use' — a purpose-built neocloud renting a supply the hyperscalers it competes with also control, which is a real but narrow position.

source: sec.gov

Moat type network effects

The FY2026 10-K keeps the ecosystem passage scoped to the firm: 'An important element of our business model has been to create platform-based ecosystems on which many participants can build diverse solutions. A well-established ecosystem creates beneficial network effects among users, application developers, and the platform provider that can accelerate growth.' That remains the one moat mechanism the filing asserts about Microsoft as a whole; the cost-of-scale passage stays scoped to 'our cloud business'.

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

cost scale

The moat the filing describes is engineering: designs that 'optimize power and cooling efficiency, lower latency' plus 'a consistent track record of being one of the first-to-deploy the latest generation of NVIDIA GPU chips' — density and time-to-deploy at scale, not a switching lock.

source: sec.gov

Leadership co leader

The FY2026 10-K asserts leadership nowhere. Its AI offerings 'compete with AI products from hyperscalers, as well as products from other emerging competitors and other open-source offerings, many of which are also current or potential partners' — one of a small set at hyperscale in cloud and AI, an incumbent in productivity and PC operating systems.

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

fast follower

The 20-F's own claim is 'one of the FEW global, at scale' AI clouds — a differentiated challenger to the hyperscalers it names as the competitive field, not a claimed leader of it; the first-to-deploy record is a follower's speed advantage, not category leadership.

source: sec.gov

Pricing power strong

The FY2026 10-K reports 'Gross margin increased $31.6 billion or 16% with growth across each of our segments', with 'Microsoft 365 Commercial revenue ... mainly affected by a combination of continued installed base growth and average revenue per user expansion'. The honest caveat: gross margin percentage 'decreased slightly driven by continued investments in AI infrastructure and growing AI product usage', with Microsoft Cloud gross margin down to 66%.

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

weak

The filing frames a 'highly competitive' market with 'frequent introduction of new or improved solutions' and a GPU cost base set by a single supplier (NVIDIA) — a renter of compute competing on efficiency has little list-price control.

source: sec.gov

Summary

One repeated model across segments — build a platform, attract developers and partners, monetize the ecosystem that forms — now compounding through the AI wave: FY2026 revenue rose 18 percent 'driven by growth in Microsoft Cloud', Azure and other cloud services grew 41 percent, and the commercial remaining performance obligation reached $678 billion, while the filing still concedes low barriers to entry in many businesses.

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.

Nebius sells a 'unified full-stack AI cloud that spans the complete AI journey – from compute capacity to software and services,' with hardware and software built in-house — the neocloud pitch of hyperscaler reliability at purpose-built efficiency, and a first-to-deploy record on new NVIDIA silicon. Two things bound the moat, both from the filing: it 'currently rel[ies] on Nvidia for the GPU chips,' the same constraint every neocloud shares, and it is a Nasdaq 'Controlled Company' whose founding shareholder holds concentrated voting power. The three non-core segments (Toloka, Avride, TripleTen) are separate businesses, not the cloud moat.

Chain position

Hyperscale AI-infrastructure buyer and platform distributor: monetizes upstream compute through Azure, Microsoft 365 Copilot, and the developer ecosystem.

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

Layer-8 neocloud — a purpose-built AI compute provider reselling NVIDIA silicon at scale.

Products (share / barrier)
  • 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
  • Nebius AI cloud (GPU compute + managed AI/ML platform) Challenger · Moderate source: sec.gov
  • Toloka / Avride / TripleTen (non-cloud segments) Unknown · Low source: sec.gov
Long-horizon vote +0.35 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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-0.01 at weight 0.20 · swarm neutral

Editorial prior, not backtested.

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