Jim Cramer says these 3 mistakes are keeping investors out of AI winners
Investors may be talking about some of the market’s biggest winners, CNBC’s Jim Cramer said Thursday.
His comments come as shares Snowflake It rose nearly 36% on Thursday after the software company reported strong results and highlighted its $6 billion commitment to Amazon Web Services. The “Mad Money” host argued that many investors probably didn’t catch much of the action.
Cramer stated there are three reasons for this.
First, he said, many investors have become overly dependent on index funds and exchange-traded funds, preventing them from taking advantage of big moves in individual stocks.
“We were all told we should only buy index funds and ETFs,” he said. “You can’t buy Snowflake with this policy.” Of course, Cramer isn’t against index funds; Investors have long been advised to put their first $10,000 into a low-cost index fund that tracks the broader market before switching to single-stock ownership.
Cramer also said investors often overlook opportunities because they think the investment thesis is “too obvious.” If one software company can find the right AI strategy, he argued, investors should ask others. sales force, Seer And Microsoft – may also provide benefits.
Finally, Cramer said many investors are too spooked by the 2000 internet stock crash to fully embrace today’s artificial intelligence rise.
“Due to these 14 and a half months, we have been scared away by some of the most incredible opportunities offered by real companies making their fortunes,” he said.
Unlike many of the speculative internet companies of the late 1990s, Cramer believes today’s AI leaders are largely profitable businesses that generate significant revenue and cash flow.
“All these memory and storage companies are crushing it,” he said. Micron, Seagate, sandisk And Western Digital.
Investors still waiting for the AI rally to unravel may be missing one of the market’s biggest opportunities, Cramer said.
“This market is different, and we are much further away from the end of the AI data center boom than the bears believe,” he said. “That probably means we have more room to run.”
