Bitcoin underperforms as gold gains, AI capital flows divert funds
Bitcoin is underperforming gold, which is up 24.1% relative to BTC year-to-date, prompting veteran trader Peter Brandt to consider shifting funds. Strategy Inc. Executive Chairman Michael Saylor attributes Bitcoin's lag to a $500 billion rotation into AI, predicting a market rebound by Q4. Analysts remain divided on the short-term trajectory for both assets.

*this image is generated using AI for illustrative purposes only.
Bitcoin is experiencing a significant shift in investor sentiment as capital rotates toward artificial intelligence and gold, leading to a 28% year-to-date decline against a 3.9% drop for gold. Veteran trader Peter Brandt announced he is contemplating selling some of his Bitcoin holdings to buy gold, arguing the metal is poised to gain substantially against the cryptocurrency. This divergence follows Bitcoin's worst monthly performance in four years, falling 20% in June to below $60,000, while gold held near $4,000 per ounce despite an 11.7% monthly drop.
Brandt's analysis focuses on the XAU/BTC ratio, which has trended lower for over a decade as Bitcoin outperformed gold. Since 2019-2020, the pace of decline has markedly slowed, with steep vertical drops replaced by a flattening curve. In technical analysis terms, this flattening signals sellers of gold relative to Bitcoin are running out of steam, indicating a potential tide turning in gold's favor. This view directly contradicts the popular narrative among crypto bulls expecting a massive rotation back into Bitcoin due to its underperformance.
Strategy Inc. Executive Chairman Michael Saylor offers a different perspective, framing Bitcoin's recent underperformance as a capital market issue rather than a structural flaw. He estimates that approximately $500 billion in capital is currently flowing into artificial intelligence, with major players like Google, Anthropic, OpenAI, and SpaceX each raising roughly $80 billion simultaneously. Saylor describes this concentration as an "AI-driven black hole" that has prompted institutional investors to rotate out of existing positions.
Saylor predicts capital will return to Bitcoin around Q3, with the market normalizing by Q4 as AI deals settle. He estimates Bitcoin absorbed about $10 to $15 billion of the current outflow. His metric for determining when Bitcoin becomes attractive again is the discount to its 200-week moving average, which he refers to as the asset's book value. This timeline aligns with his broader strategy, as Strategy Inc. purchased 175,000 Bitcoin this year while selling only 32 coins, a move Saylor defended as immaterial.
Other analysts maintain a mixed outlook. Analyst Pablo Heman stated he holds both assets and anticipates a significant Bitcoin bounce over the next few months, provided the price holds above $55,000. He remains bullish on gold and silver for the next five to ten years, citing China's move to challenge London's LBMA by setting the spot gold price in Hong Kong as a development not yet fully priced in by the market.
Key Financial and Operational Metrics
| Metric | Figure |
|---|---|
| Bitcoin purchased this year | 175,000 |
| Bitcoin sold this year | 32 |
| Bitcoin YTD decline | 28% |
| Gold YTD decline | 3.9% |
| Estimated AI capital raising | $500 billion |
| Bitcoin outflow absorbed | $10 to $15 billion |
| STRC issued | $10.5 billion |
| Bitcoin purchased via proceeds | $10 billion |
| Required appreciation for dividends | 3% annually |
| Dividend coverage at 0% appreciation | 35 to 40 years |
If the XAU/BTC ratio confirms a reversal, how might this impact long-term institutional allocation strategies between digital assets and precious metals?
What specific indicators will signal that the 'AI-driven black hole' of capital inflows is beginning to saturate, allowing funds to rotate back into Bitcoin?
Could China's move to set spot gold prices in Hong Kong trigger a broader decoupling of gold from Western markets, further accelerating capital rotation away from cryptocurrencies?

































