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first_img Grayscale Research Director: Generation Z starts investing at an average age of 19

Grayscale Research Director Zach Pandl published an article on September 28, 2026, in the company's column The Stack. The article states that among American investors, Generation Z starts investing at an average age of 19, Millennials at 25, Generation X at 32, and Baby Boomers at 35. Based on a retirement age of 65, Generation Z has an investment horizon of 46 years, which is over 50% longer than the 30-year horizon when Baby Boomers started investing.Zach Pandl: Starting to invest earlier not only benefits from compound interest but also expands the capacity to take on risk. When young, labor capital accounts for a larger proportion of wealth, and a longer horizon means more time to recover from fluctuations, as well as more future income available for continued saving and investing, thereby expanding the lifetime risk budget. He believes that the returns on digital assets are both volatile and potentially asymmetric, making them more suitable for longer and more flexible horizons.Zach Pandl also mentioned that for early investors, the cost of recent volatility may be less than the opportunity cost of missing out on long-term upside. With decades available for rebalancing, adding funds, and compounding across cycles, early starters may allocate a higher proportion to digital assets while keeping their lifetime risk balanced. Starting to invest earlier gives investors more time to absorb fluctuations, potentially enhancing the utility of digital assets in long-term portfolios.

first_img Grayscale Research Director: Computing power is becoming a new scarce digital asset

On September 24, Zach Pandl, the research director of the cryptocurrency asset management company Grayscale, published an article in the column The Stack stating that in the wave of artificial intelligence, the demand and supply paths for the computing power required to train, run, and operate models are diverging. Grayscale believes that this imbalance favors owners of already powered and operational computing capacity and brings growth-oriented investment opportunities.Zach Pandl stated that digital demand can expand instantly, but physical infrastructure such as electricity, data centers, chips, memory, and cloud services takes years to approve, access, and build. When artificial intelligence agents perform multi-step tasks, they may consume 5 to 50 times more compute tokens than typical chatbot interactions, and increased application layer activity will transmit to the underlying computing infrastructure.The article cites data from the International Energy Agency and Lawrence Berkeley National Laboratory, stating that data centers are expected to account for about half of the growth in electricity demand in the United States by 2030, and new projects may take more than five years to connect to the grid. Even if electricity is secured, permits, specialized labor, electrical equipment, cooling systems, GPUs, high-bandwidth memory, and networks are still needed. Continuous value will flow to power producers, data center operators, and artificial intelligence cloud service providers that can convert electricity into computation.
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