Palantir shares fell 4.3% in morning trade on Tuesday, as investors sold high-valuation artificial intelligence software stocks amid fresh doubts over the pace of AI adoption. The stock dropped to $128.63, extending recent weakness and remaining well below its 52-week high of $207.52.
The fall came as the broader market also traded lower, with the S&P 500 down 0.6%, the Dow Jones Industrial Average falling 1% and the Nasdaq slipping 0.5%. The latest pressure on Palantir is part of a wider sell-off in AI-linked stocks. Investors have started reassessing some of the market’s biggest AI winners after Meta CEO Mark Zuckerberg said AI agents had not progressed as quickly as the company’s leadership had expected. His comments have weighed on AI software names, especially those trading at expensive valuations.
Palantir has been one of the most closely watched AI software stocks, helped by strong investor interest in its data analytics and artificial intelligence platforms. However, the stock’s valuation remains a concern. It trades at a trailing price-to-earnings ratio of more than 130 times, far above the broader software sector average.
The decline also followed insider-selling disclosures. Palantir Chief Technology Officer and Executive Vice President Shyam Sankar sold about $24 million worth of Class A shares on July 2 under a pre-arranged Rule 10b5-1 trading plan. A separate Form 4 insider filing was also reported for July 7.
Such pre-scheduled stock sales are common among company executives and do not necessarily signal a change in business outlook. However, the timing has added to weak near-term sentiment around the stock.
Investor caution has also been fuelled by bearish views from prominent short-seller Michael Burry, who has taken negative positions against AI infrastructure stocks. Burry had earlier disclosed a short position in Palantir, adding to concerns that parts of the AI trade may have run too far.
Palantir’s peers in AI software also came under pressure on Tuesday, reflecting a broader rotation out of high-multiple technology names. The sell-off suggests investors are no longer rewarding AI-linked companies simply for exposure to the theme. They are now looking for clearer evidence that AI adoption can support growth at a pace that justifies elevated valuations.