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Macro / market backdrop

• Thursday pullback / profit-taking: Markets are broadly lower. Part of the weakness in the miner sector is attributed to profit-taking after strong runs.
• Bitcoin as a headwind, but decoupling vs. miners/AI plays:
  • Bitcoin is described as trading at ~half of prior all-time highs, referencing a move around $126,000 roughly six months earlier.
  • Reported declines:
    • ~20% down on the month
    • May end: $73,000 → ~$63,000 early June
• Earnings timing risk: June marks the end of Q2. Miner results are expected to be challenging due to:
  • lower BTC prices, and
  • ramp-up / transition costs.
• AI/HPC pivot: Miners are increasingly framed as AI/HPC infrastructure plays rather than pure BTC mining businesses. Near-term financials may lag while sites are refurbished/converted.
• Macro pressures: Mentions include wars and cost of living, contributing to investors rotating away from exposures such as Bitcoin ETFs.

Bitcoin + crypto ETF flows (investment context)

• Earlier strength: ETF inflows were reportedly strong after approval—Bitcoin ETF demand was said to be growing faster than the gold ETF “in literally months.”
• More recently: The speaker claims money has moved out of Bitcoin ETFs over the past month, as investors seek other opportunities amid global macro uncertainty and cost pressures.

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Key tickers / instruments / companies mentioned

Cryptocurrency

• Bitcoin (BTC)

Public equities (miners / HPC / data centers)

• CleanSpark (CLSK)
• Hut 8 (HUT)
• Core Scientific (ticker not stated)
• Marathon Digital (MARA)
• Riot Platforms (RIOT)
• Cipher (Cipher Digital; ticker not stated)
• Terawulf (WULF) / TeraWulf (same context)
• Hive Digital (HIVE)
• Bitdeer (ticker not stated)
• DMG (ticker not stated)
• Saloona (ticker not stated)
• Bit Zero (ticker not stated)
• KE (ticker not stated; referenced as “KE”)

Data center / financing reference

• Beacon Point (Hut 8 Texas data center complex; not a ticker)

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Sector / portfolio ideas & explicit recommendations / cautions

Trading / profit-taking guidance (miners)

• The guidance is framed as risk management:
  • After large upside moves (some names up hundreds of % over 1 year), the hosts suggest taking some profits during pullbacks.
• Technical-style caution tip: RSI (Relative Strength Index) is referenced as a tool for identifying “tops.”
  • A humorous marker is added: if you’re bragging screenshots, it may be a good day to take profits.

Longer-term framing

• Despite near-term weakness, the speaker emphasizes a long-term thesis driven by:
  • AI infrastructure demand, and
  • potential regulatory / industry milestones (including references to a “Clarity Act” and a “strategic Bitcoin reserve” theme).

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Performance metrics / numbers highlighted

Bitcoin / market metrics

• ~$73,000 → ~$63,000 from end of May to early June
• ~20% down on the month

Miner / AI conversion pipeline (CleanSpark context)

Operational & cost metrics

• Power under contract: ~1.8 GW (Texas sites)
• Mining utilization: 808 MW used for mining (noted as consistent ~6–7 months)
• Fleet efficiency: Joules/terahash = 16.07 (consistent across April and May)
• Power cost target: Sustain margins with BTC price support at power costs below ~4 cents/kWh

Hut 8 funding / deal financing (data-center)

Key figures

• $4.25B senior secured notes launched for a 352 MW Texas data center complex
• Maturity: due in 2042 (~16 years)
• Capacity/build details:
  • 352 MW critical IT capacity
  • 6 data halls
  • 521 acres
• Purpose: built for an institutional-grade tenant

Additional context

• 16.8B contracted revenues referenced
• Power pipeline mentioned:
  • Up to ~9 GW total power discussed
  • ~597 MW allocated compute (stated as allocated)

CleanSpark monthly production (Bitcoin mining side)

May vs. April

• May mined: 671 BTC
• April mined: 604 BTC
  • Increase partly attributed to one extra day of mining
• Average operational hash rate: 46.2 (consistent)

Sales / holdings

• 654 BTC sold during the month
• HODL balance change: increased by 17 to 13,470 BTC
• Huddle valuation: described as ~$991M
  • versus $1,027M for April
  • framed as ~3% reduction, attributed to BTC price decline and share-price effects

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AI/HPC valuation analysis for CleanSpark (step-by-step methodology)

This is the core methodology presented.

Framework / valuation methodology (explicit assumptions)

• Model expected AI/HPC contracts as a recurring revenue/EBITDA stream.
• Value using EV/EBITDAR multiple.
• Compute “deliverable compute capacity” from contracted pipeline using assumed PUE:
  • Assumed PUE = 1.45
  • Three initial sites → estimate ~575 compute megawatts
• Balance sheet:
  • Net debt: ~$812M
• Revenue assumption:
  • $1.85M per MW (range up to $2.0M; “ballpark for very good clients” with client uncertainty)
• Margin assumption:
  • EBITDAR margin = 70%
  • Note: some peers may claim 80–90%+ in ideal cases, but a risk discount is applied
• Capex assumption:
  • $10M per MW (with caution capex could rise; peer example: Core Scientific increasing from $8–9M target to $12M)
• Contract term:
  • 15 years (extensions often 10–15 years)
• Valuation multiple:
  • EV/EBITDAR = 20x

Base-case outputs

• Annual revenue estimate:
  • ~$1.64B/year (≈ 575 MW × $1.85M/MW)
• EBITDAR at 70%:
  • ~$745M
• Incremental enterprise value (EV/EBITDAR):
  • ~$14.8B per year (as stated)
• Capex to deliver:
  • ~$5.75B (≈ 575 MW × $10M/MW)
• Net AI value:
  • ~$9.14B net AI value
• Implied share price impact:
  • ~+$32.46 added value (for the full ~575 MW delivered at once)

Sensitivity (what matters most)

• Sensitivity ranges:
  • Revenue/MW: $1.55M → $2.0M
  • EBITDAR%: 60% → 100%
• Rule of thumb:
  • Changing two metrics at once is “straightforward”; changing three becomes too complex.

Example scenario

• If EBITDAR = 80% and revenue/MW ~ $1.9M:
  • added value becomes ~+$42.55

Staged build scenario

• For 100 MW equivalent, added value implied as ~$5–6 per 100 MW
  • cited as ~$5.65 for 100 MW

Important cautions emphasized

• Illustrative, not a guarantee.
• Key risks included in assumptions:
  • execution risk (site conversion/refurb),
  • feasibility of concurrent execution,
  • client uncertainty (revenue/MW could be lower),
  • margin risk (EBITDAR% could be lower),
  • capex inflation risk (labor/material increases cited via peer experience).

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Presenter / source identification

• McNoney (host/channel)
• Anthony Power (prepared and led the CleanSpark valuation analysis)
• Bryce (co-host/commentator; contributed market/performance framing)
• Hut 8 IR/finance source: Mark Edelman, described as Head of IR and SVP Finance at Hut 8