When big AI capex meets thin crypto order books
Walk any major crypto market and you’ll notice it: fewer large bids, wider spreads, and less activity overall. Spencer Hallarn, Head of Markets at GSR, calls it “a slow market.” He offers a clear hypothesis, that large AI infrastructure spending is pulling capital and institutional attention away from other markets, tightening liquidity, and leaving crypto feeling the squeeze.
That hypothesis rests on a solid fact: CNBC reported on Feb. 8, 2025 that Meta, Amazon, Alphabet and Microsoft signaled combined 2025 capital expenditures near $320 billion (Amazon ~ $100B; Microsoft ~ $80B; Alphabet ~ $75B; Meta $60-65B). Those numbers show AI-related capex is large and concentrated in a few corporate balance sheets.
Hallarn’s view, in a sentence
“The scale of capital being raised to fund AI infrastructure, including the equity big tech companies are issuing to pay for it, is tightening liquidity across markets more broadly, and crypto is feeling that pull.”, Spencer Hallarn, Head of Markets, GSR
Important framing: Hallarn’s claim is a market-practitioner interpretation. It’s plausible and worth testing, but it is not proven as a direct, dollar-for-dollar flow from crypto into AI. CNBC documents the size of AI spend; it does not measure net capital leaving crypto markets. Treat this as a leading hypothesis built on practitioner observation, not as an established fact.
What Hallarn sees on the ground
- Behavioral shift by projects: Clients are moving from short-term trading to structured treasury planning to cover dollar obligations like payroll, cloud bills, and vendor contracts. Many are using OTC hedging (forwards, swaps, options) to lock in fiat needs.
- Fragmented liquidity: Trading is splitting across public exchanges, private venues and alternative trading systems. That leaves visible order books thin even when inventory exists elsewhere.
- Tokenization as plumbing, not a panacea: Tokenization platforms often operate as “walled gardens” with heavy KYC/AML and limited interoperability. Many have not generated deep secondary-market volume. Hallarn reframes tokenization as a settlement and custody issue, the plumbing, rather than a pure liquidity product.
- GSR response: The firm is building price feeds, trading connectivity and infrastructure to tie traditional finance to crypto. Market-making discipline, Hallarn says, is “quite portable” across asset classes, though execution depends heavily on market structure.
Risk checks and counterpoints (read first)
Hallarn’s thesis provides strong market color, but it is one of several possible explanations. Key caveats:
- The CNBC capex figures (Feb. 8, 2025) confirm big AI spending plans, but they are corporate capex. They do not prove retail or institutional investors are reallocating directly out of crypto.
- Other drivers of low crypto activity could be regulatory uncertainty, exchange-specific outages, liquidation cycles in derivatives, or broader institutional allocation shifts unrelated to AI.
- Claims about rising OTC hedging and tokenization volumes are practitioner observations. Verify them with exchange data, prime-broker flows, or platform-level trading stats before treating them as empirical fact.
How to test Hallarn’s hypothesis
If you want to know whether AI capex is actually crowding out crypto liquidity, start with data and a simple test plan:
- Pull time-series KPIs on rolling 3- and 12-month windows: exchange spot volumes (BTC/ETH), futures open interest, net flows into crypto funds (CoinShares, CoinDesk reports), custody inflows, and OTC desk notional volumes (ask prime brokers).
- Collect AI-capex signals: corporate capex announcements and equity issuance schedules from big tech. The CNBC Feb. 8, 2025 report is a useful starting point.
- Run a basic correlation test. Compare changes in institutional crypto inflows and outflows against major AI-capex announcements and equity issuance events. Check timing and watch for confounders such as regulatory events or macro shocks.
- Do quick checks first. For example, if 3-month rolling BTC spot volume falls more than 25% while OTC notional rises more than 30% and net crypto fund flows turn negative, that strengthens the hedging and treasury-shift explanation.
Useful data vendors and reports to consult: CoinGecko, CoinMarketCap, Kaiko, CCData for exchange metrics; CoinShares and CoinDesk for institutional flows; PitchBook and Crunchbase for private-market fundraising trends.
Tokenization: prettier wrapper, thornier plumbing
Tokenization promises faster settlement, fractional ownership and programmability. Hallarn pushes back on the sales pitch. The real barrier is legacy settlement, custody and KYC rails, the plumbing, not merely wrapping an asset in a token.
Definitions up front: “walled gardens” are permissioned token platforms that restrict access via heavy KYC and limited interoperability. “Plumbing” means custody, settlement finality, Payment-versus-Delivery (PvD) mechanics and regulatory integration. “Fragmented liquidity” describes liquidity split across siloed venues rather than concentrated on open order books.
Practical implication: tokenization pilots that ignore custody and settlement integration and lack secondary-market commitments will create “pretty but thin” assets, tradable in theory, illiquid in practice. Immediate priorities are regulated custody, settlement finality (DvP or atomic settlement) and KYC interoperability, not token aesthetics.
A pragmatic playbook for leaders
Below are concrete next steps for treasurers, market makers, token teams and compliance leads.
Treasurers
- Formalize an OTC hedging playbook. Define instruments (forwards, linear swaps, capped calls), standard tenors (payroll: 1-6 months; vendor contracts: match contract length), and counterparties (prime brokers and liquidity providers).
- Stress-test fiat runway and simulate fragmented liquidity scenarios. Track a small dashboard: fiat runway in months, percentage of obligations hedged, and counterparty concentration.
- Set escalation triggers. For example, if visible spot depth on your primary token drops below a threshold (top-5 venue visible depth < X BTC at a 1% price move), move to off-exchange hedges.
Market‑makers & exchanges
- Invest in cross-venue connectivity and robust price feeds (top-5 venues and top RFQ providers). Track bid-offer spreads, cross-venue latency, and executed notional across venues.
- Build cross-netting capabilities to become a preferred counterparty for fragmented liquidity. Quantify market share by quoted notional across venues.
Tokenization teams
- Prioritize custody and settlement integration before marketing liquidity benefits. Pilot checklist: regulated custodian agreement, settlement finality test, KYC interoperability test, and a committed market maker or secondary-market provider.
- Measure success by secondary-market metrics: daily traded volume, number of unique counterparties, and depth at given price bands, not by pilot announcements alone.
Compliance & product
- Experiment with zero-knowledge identity proofs (ZKPs) in regulatory sandboxes where allowed. ZK technology could let you verify attributes without exposing full identity, but regulators may take time to accept it.
- Document controls and escalation paths for KYC attestations, and align pilots with legal counsel and regulator outreach.
Strategic investors
- Differentiate capital types. Corporate capex and equity issuance by big tech are not the same as venture or retail flows. They draw on different pools of capital and have different timing and liquidity effects.
- Monitor cross-metrics. If AI-themed equity funds see large inflows while crypto funds show outflows, that supports a reallocation story. If both move little, look for other drivers.
Monitoring dashboard: 5 KPIs to watch
- Exchange spot volume (BTC/ETH), rolling 3- and 12-month change.
- Derivatives open interest and funding-rate dispersion, signs of leverage stress or fading liquidity.
- Net flows into crypto funds (CoinShares / CoinDesk reports), an institutional allocation signal.
- OTC desk notional and tenor mix, a direct indicator of hedging demand.
- Number of tokenized assets with active secondary trading (daily volume > threshold), a measure of tokenization adoption.
Scenario view: how liquidity could return
Hallarn’s conditional scenario is simple: if AI investment slows and the Federal Reserve eases policy, risk appetite and liquidity historically rise, which could support another Bitcoin advance. He puts it this way:
“If AI-related investment cools off and the Fed starts cutting rates, liquidity should come back into the system, and that’s the kind of environment that could support another Bitcoin move higher.”, Spencer Hallarn
Two caveats matter. First, Fed easing is only one factor. Regulatory changes or exchange failures can still negate the effect. Second, much of the $320B capex is corporate and front-loaded, so its market impact differs from retail or VC flows.
Short risk checklist
- Do not equate corporate capex with a direct outflow from crypto investors, they are different pools of capital.
- Corroborate hedging claims with independent desk data from other market makers and prime brokers.
- Judge tokenization by secondary markets, not by pilot press releases.
Key takeaways, questions you would ask (and the honest answers)
- Is crypto slowing because money is flowing into AI?
Spencer Hallarn contends that large AI infrastructure capex and corporate equity issuance are tightening liquidity and drawing attention away from crypto. CNBC (Feb. 8, 2025) confirms the scale of AI capex (~$320B for 2025 among the four firms cited), but direct, quantitative evidence of capital moving from crypto into AI has not been established publicly, this remains a hypothesis to test with flow data.
- What are projects doing to cope with tighter liquidity?
Many market participants report prioritizing treasury planning and increasing OTC hedging (forwards, swaps, options) to protect dollar costs like payroll and cloud invoices. That behavior reduces dependency on immediate spot liquidity and raises demand for bespoke hedging solutions.
- Will tokenization fix liquidity problems?
Not on its own. Tokenization often runs in permissioned, KYC-heavy “walled gardens.” The larger, harder problem is fixing custody, settlement and regulatory plumbing to create interoperable secondary markets that actually trade.
- Could a Fed rate cut revive Bitcoin?
Hallarn believes it could: a deceleration in AI investment plus Fed easing would likely restore liquidity and risk appetite, creating a favorable environment for Bitcoin. That is a plausible scenario, but it is conditional and competes with regulatory or idiosyncratic crypto risks.
- How should I validate this thesis quickly?
Watch three things first: exchange spot volumes (3‑ and 12‑month rolling), institutional fund flows into/out of crypto, and OTC desk notional/tenor. If volumes fall sharply while OTC hedge activity rises, the treasury/hedging narrative gains credibility.
A final operational note for executives
Large AI buildouts will shape capital markets, but they are not a single deus ex machina that explains every movement in crypto. Treat Hallarn’s view as a high-quality market hypothesis. Test it with flow and volume metrics, adapt treasury and hedging processes to fragmented liquidity, and treat tokenization as a systems project that requires custody, settlement and regulatory integration, not just a clever wrapper.