Bitcoin's addressable market is the global asset landscape — roughly 10 million per Bitcoin in today's dollars — approximately 25% of global asset value versus today's 0.05%. The framework is genus-distinct from trajectory models like the Power Law: it answers "how high in real terms?" rather than "when?" The analytical engine is per-bucket capture, not whole-bucket appropriation — the $900T headline is the universe within which the capture analysis runs, not Bitcoin's expected size.
Why this note matters
The asset-comparison trilogy (Bitcoin vs gold, Bitcoin vs real estate as SoV, Bitcoin vs equities as SoV) treats Bitcoin’s monetary-premium-transfer logic one bucket at a time. This note is the synthesis frame — the all-buckets view that the per-bucket comparisons individually imply but none develops in unified form. Reading the trilogy without the synthesis leaves the addressable-market argument distributed across three notes; the synthesis surfaces it as a single quantitative argument.
The framework also fills a genus-shaped gap in the KB’s quantitative scaffolding. The price-models area (Long-term price models and cycles) develops trajectory frames — the Power Law, stock-to-flow, logarithmic regression, Metcalfe-style network-value models — each of which answers “where will Bitcoin’s price be at time T?” None answers “in real terms, where does the price stop?” The addressable-market framework is a real-terms ceiling rather than a time-path. The two genera are complementary: trajectory frames supply the path; the ceiling frame supplies the asymptote.
Finally, the Myers → Saylor lineage is a real intellectual-history thread. Myers’s essay is the canonical articulation; Saylor adopted the framework as the basis for Bitcoin 24 at Strategy; Strategy’s preferred-equity stack (STRC and bitcoin-backed instruments) is the operationalization of high-ceiling conviction at the corporate-treasury layer. Naming the lineage makes the structural-monetary case more legible at the institutional layer.
Store of value as a market
The first conceptual move in the framework is reframing store-of-value as a market in its own right.
Most economic discussion treats markets as the arenas where companies compete to deliver goods and services. A market is “automobiles” or “enterprise software” or “logistics” — a specific need that businesses meet and customers pay for. The aggregate of all such markets is the economy.
But the economy produces value, and value has to be stored somewhere. The accumulated stock of wealth across history is parked in assets. Some assets produce cash flows (companies, rental properties); some are valued for utility (a home, an artwork); some are valued primarily because they preserve purchasing power across time (gold, fine art, scarce real estate, sovereign debt). The third category — store-of-value functioning — is a market too. Capital allocators choose between candidates, and the candidate with the most attractive properties tends to attract incremental flow.
This reframing matters because Bitcoin doesn’t fit into any industry-defined market. It isn’t competing with PayPal or with JPMorgan or with Visa in any operational sense. It is competing for the role gold and bonds and real estate and equities all partially play: the asset I trust to carry my purchasing power into the future. Once that market is named, the addressable-market question becomes tractable — how much capital is currently in that market, and how much could realistically reallocate toward Bitcoin?
The framework’s underlying intuition matches the Mengerian salability tradition treated in Bitcoin as emergent money and Hard money vs fiat money: the most salable good wins, in a self-reinforcing process. Where Mengerian theory describes the qualitative dynamic, the addressable-market frame supplies a quantitative scaffold.
Why traditional valuation ceilings do not constrain Bitcoin
Most asset classes have natural valuation ceilings supplied by their valuation equations.
Equities are valued from expected future cash flows discounted at prevailing interest rates. The ceiling rises and falls with cash-flow growth and rate compression but is anchored in fundamentals — a company is worth what its future profits, suitably discounted, support.
Real estate is similarly anchored — to rental cash flows, mortgage rates, and the supply of new housing. Bubbles inflate the monetary premium component (see Bitcoin vs real estate as SoV) but the utility-value floor and the new-supply gravity provide structural constraints on the ceiling.
Commodities like gold are constrained primarily by new-supply gravity — the global gold market must absorb roughly 1.5–2% in new mined supply each year just to hold price steady. At 450–600B in new-supply absorption annually. The ceiling is structurally limited by the rate at which new supply can flood the market.
Bitcoin is different in kind on all three dimensions. It has no cash flows to discount — it is purely a monetary good. Its supply is mathematically fixed at 21M and the new-supply rate halves every four years toward zero (see Bitcoin fixed supply and issuance schedule). The new-supply gravity that constrains gold’s ceiling effectively disappears for Bitcoin over time: 0.85% post-2024 halving, ~0.4% post-2028, asymptoting to zero.
The implication is that Bitcoin’s ceiling is not supplied by its own valuation equation. The ceiling is supplied by how attractive Bitcoin is relative to other store-of-value assets. If Bitcoin’s monetary properties are superior, capital reallocates inbound from competing buckets until equilibrium. The ceiling is determined externally — by the size of the addressable market and the share of each bucket that reallocates.
The global asset landscape
Myers presents a rough but useful map of the global asset landscape, totaling approximately $900 trillion in 2023 (updated periodically as global wealth grows). The bucket structure is approximate and the per-bucket figures carry meaningful uncertainty, but the magnitudes match the consensus assembled from sources including McKinsey Global Institute wealth-distribution research, World Gold Council statistics, and central-bank balance-sheet aggregates.
| Asset bucket | Approximate global market cap (2023-2026) |
|---|---|
| Real estate | ~$400T |
| Debt instruments | ~$130T |
| Fiat money (M2 across major currencies) | ~$120T |
| Equities | ~$110T |
| Gold | ~$30T |
| Art and collectibles | ~$18T |
| Other (cars, durable goods, etc.) | ~$80T |
| Total | ~$900T |
| Bitcoin (for scale) | ~$1.2T |
Bitcoin currently constitutes approximately 0.13% of the global asset landscape — about 1/750th of total wealth. The per-bucket detail for the largest buckets lives in the asset-comparison trilogy: gold in Bitcoin vs gold, real estate in Bitcoin vs real estate as SoV, equities in Bitcoin vs equities as SoV. The fiat, debt, art, and collectibles buckets are not yet treated with dedicated notes; their roles in the framework are sketched in the Per-bucket capture section below.
Per-bucket capture — what the framework actually does
This section makes explicit a feature of the framework that is sometimes obscured by its rhetoric. Myers does not claim Bitcoin eats the whole $900T pie. His table assigns a “Bitcoin capture percentage” per bucket — and the percentages vary substantially, reflecting how monetary-good-like each bucket is.
The relative magnitudes implied by his analysis:
- Fiat money — the highest capture percentage. Fiat is Bitcoin’s most direct monetary-competitor. Savers holding fiat purely as monetary stockpile are highly motivated to reallocate toward an asset that doesn’t structurally debase. The framework anticipates a substantial fraction of fiat’s monetary-good function reallocating toward Bitcoin over time.
- Debt instruments (especially sovereign bonds) — also high capture. Sovereign bonds compete with Bitcoin for the “monetary insurance” role: capital seeking nominal yield with low principal risk. As sovereign credit dynamics deteriorate (a recurrent theme in late-cycle debt frameworks; see Lyn Alden, Larry Lepard), the fixed-income-allocator case for partial Bitcoin substitution strengthens.
- Gold — moderate-to-high capture. Gold is already a recognized monetary good; the question is whether Bitcoin’s structurally superior properties (mathematical scarcity, instant portability, cryptographic verifiability) cause some material fraction of gold’s monetary premium to migrate. The per-property comparison in Bitcoin vs gold develops the substantive case.
- Real estate — lower capture, but on a much larger base. Real estate carries the largest monetary premium in absolute terms because the bucket is so large, but the per-unit reallocation is constrained by real estate’s utility-value floor (people need shelter). The capture percentage on the $400T bucket might be modest, yet the absolute Bitcoin inflow could still be substantial. The careful monetary-premium-versus-utility-value separation lives in Bitcoin vs real estate as SoV.
- Equities — the lowest capture, and arguably the most contested. The framework’s treatment of equities as a partial source of Bitcoin capture rests on the assumption that some fraction of equity holdings serves monetary-good rather than productive-enterprise functions. The substantive categorical-difference case (Bitcoin vs equities as SoV) argues that productive enterprise is genus-different from monetary good, and that the equities-bucket capture rate should be small. The framework’s headline numbers are sensitive to this assumption.
- Art, collectibles, other — small absolute contribution given the bucket sizes; mixed monetary-premium content.
Aggregated across buckets, the framework yields a real-terms full-potential valuation in the range of 10 million.
The headline number that often circulates — “Bitcoin’s TAM is $900T” — is the universe within which the capture analysis runs, not the framework’s projection of Bitcoin’s size. The analytical engine is the per-bucket capture column. Surface clarity about this distinction makes the framework more defensible than its rhetorical compression suggests.
The price-ceiling output
The aggregated capture analysis produces a real-terms ceiling of approximately $10 million per Bitcoin in today’s dollars, with sensitivity to the per-bucket capture assumptions.
The headline implications:
- From today’s ~$1.2T market cap, the ceiling represents roughly a 170× appreciation in real terms.
- Per-Bitcoin in current dollars, ~$10 million.
- Bitcoin would represent ~22-25% of global asset value at the ceiling, versus today’s 0.05% — an approximately 500× share-of-wealth increase.
Two caveats worth flagging in any practical use of the framework:
First, the ceiling is real-terms — denominated in today’s purchasing-power dollars. The nominal-dollar ceiling depends on the path of fiat dilution. If global asset values inflate substantially in nominal terms, the nominal-dollar Bitcoin ceiling rises proportionally. Real-terms framing isolates the monetization gain from the inflation gain.
Second, the ceiling is path-independent — it tells you the asymptote, not the trajectory. Reaching the ceiling requires that the underlying monetization process actually run its course; the path-dependency questions (whether Bitcoin actually monetizes that far, what failure modes might prevent it) belong to the trajectory frames and to Criticisms of Bitcoin.
Triangulation with other valuation frames
The ceiling frame is one of several quantitative frameworks the KB engages. They produce different objects and should be triangulated, not collapsed.
Gold-parity floor
If Bitcoin reaches gold’s current ~1.5M per coin — about 15× current price. This is the most-cited near-term marker in the asset-comparison trilogy and is treated substantively in Bitcoin vs gold. The gold-parity figure is best understood as a floor under the addressable-market analysis: if Bitcoin captures only gold’s monetary premium and nothing else, it still lands at ~$1.5M.
Power Law trajectory
The Power Law model (Santostasi and Perrenod) lands Bitcoin in the ~$1-3M range by approximately 2040, asymptoting higher beyond. This is a trajectory frame — it answers “when?” rather than “ceiling?” The Power Law’s mechanism (network-effects-driven monetization compounding on a hard monetary base) is consistent with the addressable-market frame: as Bitcoin absorbs incremental capital from competing buckets, network value compounds, price appreciates along the power-law path, and the ceiling becomes operational over multi-decade horizons.
The Myers-Saylor ceiling
Myers’s full-potential valuation, adopted into Saylor’s Bitcoin 24 framework. ~$10M+ per Bitcoin at completed monetization. A real-terms asymptote rather than a competing time-path.
Read together: the gold-parity figure (1-3M by 2040) is the path; the Myers-Saylor ceiling ($10M+) is the real-terms asymptote at full monetization. None of the three is in operational contradiction with the others — they answer different questions and apply on different timeframes. A reader engaging the quantitative case for Bitcoin’s long-horizon valuation should treat all three as complementary rather than choosing between them.
The Myers-Saylor lineage
Jesse Myers articulated the framework in Bitcoin’s Full Potential Valuation (Once-in-a-Species, February 2023), developed during his tenure as co-founder of Onramp Bitcoin. The essay was widely circulated in Bitcoin-investor and Bitcoin-Twitter educational contexts and became the canonical reference for the all-buckets addressable-market frame. See Jesse Myers.
Michael Saylor adopted the framework as the analytical basis for his Bitcoin 24 model at Strategy, integrating it into Strategy’s investor communications, conference presentations, and corporate-treasury rationale. The lineage is publicly acknowledged in Strategy’s investor materials and in Myers’s subsequent corporate role; the framework therefore operates not only as analytical apparatus but as the rhetorical scaffold for one of the largest institutional Bitcoin-treasury programs. See Michael Saylor and MicroStrategy and Strategy.
Strategy’s preferred-equity stack (STRC and bitcoin-backed instruments) is the operationalization layer. Convictions about high real-terms ceilings translate into capital-structure choices: if Bitcoin’s full-potential valuation is ~$10M, accumulating Bitcoin through preferred-equity issuance at modest dividend yields is structurally accretive over multi-decade horizons. The addressable-market frame supplies the analytical premise; Strategy’s stack supplies the financial-engineering implementation.
Myers’s current role as Head of Bitcoin Strategy at The Smarter Web Company (appointed mid-2025) extends the framework’s institutional adoption to a second major corporate-treasury program in the London market.
Counter-arguments and tensions
The framework rests on real assumptions and faces real tensions worth surfacing. Substantive engagement with the deeper failure-mode questions lives in Criticisms of Bitcoin and Bitcoin controversies; the section below is light-touch.
Equities as productive-asset category. The framework assigns a non-zero capture percentage to the ~$110T equities bucket, treating some fraction of equity value as monetary-good function susceptible to reallocation. Bitcoin vs equities as SoV develops the categorical-difference case — equities are claims on productive enterprise (cash flows, capital reinvestment, business operations), genus-different from monetary goods. If equities are properly understood as productive rather than monetary, the framework’s equities-bucket capture percentage is too high, and the aggregate ceiling is somewhat lower than the headline. The honest framing: the equities bucket is the most-contested input in the framework, and the framework’s headline number is sensitive to that single assumption.
Time agnosticism. A real-terms ceiling tells you the asymptote, not the path. For allocation decisions on practical horizons (5, 10, 20 years), the ceiling alone is operationally incomplete. The trajectory frames (The Power Law model, Monetization S-curve) supply the path; in practice the two are used together — ceiling for conviction, trajectory for sizing and timing.
Path dependency and failure modes. The framework presents a ceiling conditional on completed monetization. The substantive questions about whether Bitcoin actually monetizes that far, and what could prevent it, belong to the engaged-with-critics treatment in Criticisms of Bitcoin — quantum-computing failure modes, regulatory disruption, technological displacement, governance-stability concerns.
Data quality of the $900T figure. Myers acknowledges his global-asset-landscape number is rough — assembled from various data sources and updated periodically. McKinsey Global Institute wealth-distribution research, World Gold Council statistics, and central-bank aggregates supply similar magnitudes but with different bucket boundaries and methodological choices. The framework’s qualitative logic is more robust than the precise headline aggregate; sensitivity analysis on per-bucket capture and on bucket sizing should produce ceilings within a band, not a single point.
The reallocation timeline. Capital reallocation from established buckets toward Bitcoin doesn’t happen by fiat — it happens through individual decisions accumulating across decades. The framework’s “completed monetization” is an endpoint, not a deadline. Practical monetization runs along the trajectory frames’ multi-decade paths.
Open questions for further development
- How should the framework update as global asset-landscape composition shifts? AI-driven productivity gains could materially restructure equity vs. monetary-good capital allocation over the coming decades, changing both bucket sizes and capture percentages.
- What is the right per-bucket capture percentage to assume for the sovereign-bond bucket given post-2024 sovereign-debt-trajectory dynamics? The framework’s bond-bucket capture is one of the largest single contributors and is sensitive to fiscal-dominance assumptions.
- Does the framework hold up under explicit monetary-premium-only accounting on the real-estate bucket, or does the aggregate compress meaningfully when utility-value floors are subtracted out?
- How should the Strategy preferred-equity stack and emerging Bitcoin-backed instruments category update the framework’s institutional-capital-flow assumptions? The stack potentially accelerates the reallocation rate from fixed-income buckets specifically.
- At what point in the monetization process does the framework’s “completed monetization” become operative? Is there a natural inflection — Bitcoin reaching some threshold percentage of global assets — at which the remaining capture accelerates?
Canonical sources for this note
Principal source
- Jesse Myers, Bitcoin’s Full Potential Valuation — Once-in-a-Species, February 16, 2023. https://www.onceinaspecies.com/p/bitcoins-full-potential-valuation. The canonical articulation of the framework. See Jesse Myers.
Adoption and institutional operationalization
- Michael Saylor, Bitcoin 24 framework — Strategy investor communications, conference presentations, and corporate-treasury rationale (2024-onward). See Michael Saylor and MicroStrategy and Strategy.
Data sources for the global asset landscape
- McKinsey Global Institute, wealth-distribution research and global-balance-sheet aggregates
- World Gold Council, gold-supply-and-demand statistics
- Bank for International Settlements and central-bank balance-sheet aggregates
- World Federation of Exchanges, equity market-cap aggregates
KB-internal context — the asset-comparison trilogy
- Bitcoin vs gold — gold bucket in fine per-property detail
- Bitcoin vs real estate as SoV — real-estate bucket; develops the monetary-premium-versus-utility-value separation
- Bitcoin vs equities as SoV — equities bucket; argues the categorical-difference case that constrains the framework’s equities-bucket capture
Trajectory and monetization context
- The Power Law model — the contemporary canonical trajectory frame
- Monetization S-curve — adoption-curve context
- Store of value vs medium of exchange vs unit of account — the four-phase monetization framework
Related notes
- Bitcoin vs gold
- Bitcoin vs real estate as SoV
- Bitcoin vs equities as SoV
- The Power Law model
- Long-term price models and cycles
- Monetization S-curve
- Store of value vs medium of exchange vs unit of account
- Portfolio approaches to Bitcoin
- The case for investing in Bitcoin
- Bitcoin as emergent money
- Hard money vs fiat money
- Bitcoin fixed supply and issuance schedule
- Jesse Myers
- Michael Saylor
- MicroStrategy and Strategy
- STRC and bitcoin-backed instruments
- Lyn Alden
- Larry Lepard
- Saifedean Ammous
- Carl Menger
- Criticisms of Bitcoin
- Bitcoin controversies