Tech entrepreneur and longevity advocate Bryan Johnson recently floated the idea of measuring the biological age of individuals working in the cryptocurrency industry to determine if the newfangled asset class accelerates the aging process. This comes after Bitcoin recently crashed below the $67,000 level.
A longevity superfan
Johnson is an entrepreneur who sold his payments company Braintree, which owned Venmo, to PayPal in 2013 for $800 million.
After the acquisition, he changed his focus toward solving what he describes as “species-level” problems. He is laser-focused on trying to solve human longevity. He is currently the public face of Project Blueprint, a data-driven health protocol designed to algorithmically optimize his biological age.
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Johnson’s extreme anti-aging regimen and self-experimentation are the subject of the 2025 Netflix documentary “Don’t Die: The Man Who Wants to Live Forever”.
The viral film follows Johnson as he spends approximately $2 million a year on medical monitoring, strict diets, and so on.
Johnson’s weird anti-aging habits, such as walking with an umbrella under the sun, frequently become the material for varioius memes.
Crypto and systemic decay
Johnson’s interest in cryptocurrency dates back to his tenure at Braintree, where he partnered with Coinbase to experiment with bitcoin payment infrastructure. At the time, his goal was to provide payment rails indifferent to the origin of the funds.
Today, Johnson views his work in crypto and longevity as a unified effort against systemic decay. He has previously stated that “aging has the same philosophical underpinnings as inflation.” He notably described both processes as “the slow death of an intelligent system”.
In his view, inflation erodes economic purchasing power over time in the exact same way that aging degrades the body’s biological capital.
Johnson sees a high overlap between crypto, artificial intelligence, and longevity, given that these three fields are focused on systems thinking, optimization, and exponential change.
He argues that the most rational act for an intelligent system is simply to survive and resist entropy.
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