Trader Eugene said he has spent the past six months systematically relearning AI stocks as a new asset class, describing the experience as similar in some ways to his entry into crypto in 2021. In a post cited by Odaily, he said the process included living through one of the biggest volatility events in stock market history and gaining new lessons from it. Eugene added that, after reflecting on the past half-year, he now sees his edge in equities as much smaller than in crypto because the stock market involves more variables and more stakeholders, making it harder to trade. Even so, he said the long-term outlook for the AI sector makes the shift worthwhile. Looking ahead, Eugene argued that as the market gradually moves toward artificial superintelligence, or ASI, over the next three years, it may be easier for speculative traders in tech stocks to achieve a 10x increase in net worth than by investing in cryptocurrencies at current conditions. He also said AI semiconductors are moving into the next leg higher, and that an Anthropic listing and later model launches could serve as catalysts.
Trader Eugene said he has spent the past six months systematically relearning AI stocks as a new asset class, according to Odaily.
He said the period brought new lessons after he lived through one of the biggest volatility events in stock market history, an experience he compared with entering the crypto market in 2021.
After reflecting on that stretch, Eugene said his advantage in equities has fallen sharply relative to crypto. He wrote that the stock market is harder because it involves more factors and more stakeholders.
Still, he said the development outlook for the AI industry makes the shift reasonable.
Eugene added that over the next three years, as the market gradually moves toward ASI, speculative traders in tech stocks may find it easier to achieve a 10x increase in net worth than by investing in cryptocurrencies under current conditions.
He also said AI semiconductors are entering the next stage of gains, with a potential Anthropic listing and subsequent model releases seen as possible catalysts.
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