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ChatGPT picks 2 stocks to buy during February market crash

ChatGPT picks 2 stocks to buy during February market crash WikiBit 2026-02-12 21:13

While the February big tech stock market crash proved more of a show of investor anxiety toward overexposure to artificial intelligence (AI) than the

Finance

ChatGPT picks 2 stocks to buy during February market crash

While the February big tech stock market crash proved more of a show of investor anxiety toward overexposure to artificial intelligence (AI) than the initial stage of a new recession, it, nonetheless, showcased that the logic that led to massive returns in 2025 might no longer be feasible.

Wedbush Securities analyst Dan Ives described the recent downturn as unprecedented in its speed and severity.

“This Software Armageddon sell-off is unlike anything I have seen in 25 years…the market is treating this sector and stalwarts like Salesforce and ServiceNow like they are structurally broken business models due to AI,” Ives noted.

Indeed, some of the biggest winners in last years market, such as Nvidia (NASDAQ: NVDA), have been experiencing substantial volatility. Simultaneously, blue-chip technology stocks like Microsoft (NASDAQ: MSFT) and Advanced Micro Devices (NASDAQ: AMD) took a beating after earnings reports demonstrated significant exposure to AI.

With the prevailing narratives in flux and under pressure, Finbold consulted the advanced AI of ChatGPT to try to figure out which stocks might be the best investments during the February big tech market crash.

Albemarle Corp (NYSE: ALB)

Though the broad electric vehicle (EV) slowdown of the last year made related equity decidedly less appealing, ChatGPT remains convinced that there remain several top stocks in the space.

Of these, OpenAIs flagship platform identified Albermarie Corp (NYSE: ALB) as a likely winning bet for February 2026.

The company is involved with a wide variety of industries, such as construction, agriculture, aviation, electronics, EVs, and others, but the AI considers its position as the worlds fourth-biggest lithium producer as critical.

According to ChatGPT, Albemarle sits in the enviable position in which it profits from volume rather than branding and ‘sells the input, not the end product,’ making it highly resilient no matter the cycle.

ChatGPT explains why ALB stock is a good investment in February. Source: Finbold & ChatGPT

Simultaneously, the AI claims that most of the risk factors that could affect ALB stock have already been priced in by the market, leaving the massive positive momentum the equity has – Albemarle shares are up 124% in the last 12 months to their press time price of $171.54 – as a major reason to be bullish.

ALB stock price 12-month chart. Source: FinboldAmazon (NASDAQ: AMZN)

Still, in its explanation, ChatGPT was happy to point out that, for all of its merits, ALB stock is something of a risk. Therefore, the large language model (LLM) said it picked Amazon (NASDAQ: AMZN) as its second recommended investment for February.

ChatGPT explains why AMZN stock is a good investment in February. Source: Finbold & ChatGPT

Between the recent sell-off – AMZN shares are down 15% in the last two weeks to their press time price of $204.62 – and the companys overall diversity of business and fundamental strength, ChatGPT estimates mid-February represents the perfect buying opportunity for the e-commerce and technology giant.

AMZN stock price YTD chart. Source: Finbold

“Amazon‘s temporary drawdown unlocks entry at a wide discount on diversified earnings power,” the AI noted, as it said, ’in one line.

Interestingly, ChatGPT considered the buy case for AMZN obvious enough that it did not expand on the thesis, merely noting Amazon is plainly ‘boring in the good way.’

Disclaimer:

The views in this article only represent the author's personal views, and do not constitute investment advice on this platform. This platform does not guarantee the accuracy, completeness and timeliness of the information in the article, and will not be liable for any loss caused by the use of or reliance on the information in the article.

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