Saylor calls the present the “Bitcoin-standard era” and assigns annualized returns to three kinds of “digital assets”:
NVDA (digital intelligence): 65%; MSTR (digital equity): 52%; BTC (digital capital): 38%. All three outperformed the rest of the “Magnificent Seven.”
What’s interesting isn’t the returns, but that he places three entirely different assets in the same framework: a company that sells AI chips, a stock that holds BTC, and BTC itself.
His implication is clear: if the future becomes increasingly digital, assets more deeply tied to the digital economy are more likely to command a capital premium.
But it’s worth noting that this is a classic case of narrative bundling.
NVDA’s rise is driven by the AI computing cycle; MSTR has exposure to BTC and its own capital structure; and BTC has its own supply-and-demand and liquidity dynamics.
The returns are real, but “digital” is not the common cause of all three assets’ gains.
Grouping them together is a way of framing a narrative, not proof of causation.
The data can show that they performed well in the past, but it can’t directly prove that “digital assets” will inherently outperform traditional assets.
NVDA (digital intelligence): 65%; MSTR (digital equity): 52%; BTC (digital capital): 38%. All three outperformed the rest of the “Magnificent Seven.”
What’s interesting isn’t the returns, but that he places three entirely different assets in the same framework: a company that sells AI chips, a stock that holds BTC, and BTC itself.
His implication is clear: if the future becomes increasingly digital, assets more deeply tied to the digital economy are more likely to command a capital premium.
But it’s worth noting that this is a classic case of narrative bundling.
NVDA’s rise is driven by the AI computing cycle; MSTR has exposure to BTC and its own capital structure; and BTC has its own supply-and-demand and liquidity dynamics.
The returns are real, but “digital” is not the common cause of all three assets’ gains.
Grouping them together is a way of framing a narrative, not proof of causation.
The data can show that they performed well in the past, but it can’t directly prove that “digital assets” will inherently outperform traditional assets.