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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 IBM×Applied Digital×Tesla, Inc.× maximum of 3 — remove one to swap
IBM IBM ai moat: latest change 2026-02-24 Applied Digital APLD ai moat: latest change 2026-07-29 Tesla, Inc. TSLA ai moat: latest change 2026-01-29
Moat rating narrow

IBM's FY2025 10-K describes "a highly competitive environment" with "hundreds of competitors" and says IBM is "regularly exposed to new competitors" as it executes its hybrid-cloud/AI strategy, while differentiating through "incumbency with enterprises" and "client relationships and trust" — a real but narrow moat, not a wide one.

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

Tesla's FY2025 10-K calls the automotive market "highly competitive" and expects it to "become even more competitive," and its energy-storage market "also highly competitive"; gross margin compressed from ~25.6% (FY2022) to ~18% (FY2023-FY2025) amid price cuts — a real but contested moat, not a wide one.

source: sec.gov

Moat type switching costs

The 10-K roots IBM's differentiation in "incumbency with enterprises" and "client relationships and trust" — installed-base lock-in across its hybrid-cloud platform (Red Hat) and enterprise software and infrastructure raises switching costs.

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

intangibles ip

The 10-K attributes Tesla's differentiation to a "vertically integrated business model, and focus on user experience," delivering "AI-related and enhanced software" via FSD (Supervised) and neural-network capabilities — a brand-plus-proprietary-technology (EV/battery + autonomy) intangible edge.

source: sec.gov

Leadership fast follower

An enterprise incumbent that differentiates via "incumbency with enterprises" but is "regularly exposed to new competitors" in its hybrid-cloud/AI push (FY2025 10-K) — a follower in the current AI cycle rather than its leader.

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

A leading global EV maker whose Model Y is among the world's best-selling vehicles, but the 10-K acknowledges "a significant and growing number of established and new" competitors entering EVs, and Tesla competes in autonomy/robotics as one of several players.

source: sec.gov

Pricing power moderate

Gross margin is high and rising (54.9% FY2021 to 58.2% FY2025) on a software-mix shift, but "price" is a principal method of competition per the 10-K and consulting/infrastructure remain price-competitive.

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

Gross margin fell from ~25.6% (FY2022) to ~18.0% (FY2025) as Tesla cut prices to defend volume, though it remains above most auto peers (SEC financials in the FY2025 10-K).

source: sec.gov

Summary

IBM's moat rests on deep enterprise incumbency — sticky installed-base relationships across hybrid cloud (Red Hat), enterprise software, and mission-critical infrastructure, plus brand and a large patent base. But its own FY2025 10-K frames "a highly competitive environment" with "hundreds of competitors" and says IBM is "regularly exposed to new competitors" as it pursues hybrid cloud and AI, so the moat is durable but narrow and contested in the AI/cloud growth arena.

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.

Tesla's edge rests on a vertically integrated manufacturing model, a strong brand, the Supercharger network, a fast-growing energy-storage business, and the largest supervised-FSD fleet feeding its autonomy neural networks. But its FY2025 10-K itself calls both the automotive and energy-storage markets "highly competitive" and expects auto to become "even more competitive," and gross margin has compressed from ~26% to ~18%, so the moat is durable but contested rather than wide.

Chain position

A hybrid-cloud platform, enterprise-AI (watsonx), and consulting provider to large enterprises — a software/cloud layer of the AI stack.

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

Downstream AI application/end-user: consumes AI compute (NVIDIA) and custom inference silicon (Samsung/TSMC) to build autonomy (FSD/Robotaxi) and robotics (Optimus).

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
  • Electric vehicles (Model 3/Y/S/X/Cybertruck) Top 3 · Moderate source: sec.gov
  • Energy generation & storage (Powerwall, Megapack) Top 3 · Moderate source: sec.gov
  • Full Self-Driving / autonomy (FSD, Robotaxi) Challenger · Moderate source: sec.gov
  • Optimus (humanoid robot) Unknown · Moderate source: sec.gov
  • Supercharger / charging network Leader · Moderate source: sec.gov
Long-horizon vote +0.06 at weight 0.20 · swarm bearish

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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