AI Stocks at a Steal: 2 Must-Buy Picks Before the Next Rally

Wall Street's sleeping on AI again—time to front-run the herd.

Bargain Hunting in the Algorithmic Gold Rush

While VCs hyperventilate over metaverse land grabs, real value's crystallizing in AI infrastructure plays. These two under-the-radar stocks are trading at pre-hype multiples—for now.

Pick #1: The Chipmaker Powering Every AI Model

No neural network runs without specialized silicon. This fabless designer's next-gen processors already dominate training workloads—and insiders are loading up at current prices.

Pick #2: The Enterprise AI Enabler You've Never Heard Of

Forget ChatGPT—this B2B play helps Fortune 500s operationalize AI at scale. Recurring revenue's growing 120% YoY while the stock trades at 2023 levels.

The Clock's Ticking

When the Fed inevitably pivots to rate cuts, speculative money will flood back into tech. As one hedge fund manager quipped: 'The best time to buy AI was yesterday. The second-best time is before Wall Street pretends to discover it again.'

Image source: Getty Images.

1. Meta Platforms

AI is turning out to be a nice catalyst for digital advertising giant Meta Platforms, which has been offering its AI-powered advertising tools to advertisers and brands to improve audience targeting and reduce costs simultaneously. On the company's latest earnings conference call, management pointed out that AI tools have led to a 5% jump in ad conversions on Instagram, along with a 3% improvement on Facebook.

Moreover, Meta's users are now spending more time on its apps thanks to AI-powered content recommendations. The time users spent on Facebook and Instagram increased by 5% and 6%, respectively, in the previous quarter. These factors explain why Meta reported a solid increase of 22%, to $47.5 billion, in its Q2 revenue. Its bottom-line growth was even better, with adjusted earnings per share jumping by 38% year over year to $7.14 per share.

The numbers crushed Wall Street's expectations, fueling a big jump in Meta's stock price following the release of its results on July 30. Meta benefited from a 9% year-over-year jump in the average price per ad served during the quarter. Also, the AI-driven improvement in user engagement led to an 11% increase in ad impressions delivered by the company in the previous quarter.

Additionally, more advertisers on Meta's platform are now using its generative AI ad tools to create and optimize the performance of their campaigns. Meta says that almost 2 million advertisers are now using its AI video generation tools, while the adoption of its text generation tools is also improving. Looking forward, Meta's AI ad tools are likely to be adopted by more advertisers, as the company reports they significantly boost advertising returns.

A study conducted by the company earlier this year revealed that its AI advertising tools are delivering a "22% improvement in return on ad spend for advertisers." It won't be surprising to see advertisers funneling those savings back into Meta's advertising solutions to reach a bigger audience, thereby leading to further growth in the social media giant's revenue and earnings.

As such, it is easy to see why analysts have increased their earnings growth expectations for Meta.

META EPS Estimates for Current Fiscal Year data by YCharts. EPS = earnings per share.

The best part is that investors can buy this tech stock at an extremely attractive 27 times earnings, which is lower than the tech-ladenindex's earnings multiple of almost 33. Buying Meta at this valuation looks like a no-brainer, as the company can gain a bigger share of the digital ad market thanks to the AI-powered gains it is delivering to advertisers.

2. Lam Research

Semiconductors are powering the AI revolution. Complex chip systems capable of tackling huge workloads are necessary to train and deploy AI models in data centers. This is why companies such as Nvidia, Broadcom,, and(TSMC) have seen healthy growth in their revenue and earnings in the past couple of years.

However, the chips that the companies mentioned above design and fabricate wouldn't have been possible without the semiconductor manufacturing equipment sold by the likes of Lam Research. The company sells wafer and fabrication equipment (WFE) to foundries such as TSMC andand to memory manufacturers like,, and SK Hynix.

These companies have been increasing their capital expenditure budgets to make more AI-focused chips. Unsurprisingly, industry association SEMI is projecting a 6.2% increase in WFE spending in 2025, followed by a bigger jump of 10.2% in 2026. It is worth noting that SEMI increased its WFE spending guidance last month.

The good part is that Lam is already benefiting from the improved spending on semiconductor equipment. The company released its fiscal 2025 results on July 30. It reported a 23% year-over-year increase in annual revenue to $18.4 billion. Its diluted earnings per share increased at a faster pace of 43% to $4.15 per share last fiscal year.

The stronger WFE spending forecast going forward explains why Lam's outlook was a solid one. It is expecting $5.2 billion in revenue in the current quarter, which is well ahead of the $4.63 billion consensus estimate. That would translate into a year-over-year increase of 25% in its top line. Lam seems capable of sustaining this healthy momentum throughout the year on the back of an increase in AI-focused semiconductor capacity.

As such, don't be surprised to see Lam's revenue growth in the current fiscal year exceeding the 8% increase that analysts are projecting. The following chart tells us that Wall Street analysts expect Lam to clock healthy double-digit earnings growth rates. That looks reasonable, considering the 24% annual growth that the AI chip market is expected to clock over the next five years, which should ideally lead to more investments in semiconductor manufacturing capacity.

LRCX EPS Estimates for Current Fiscal Year data by YCharts. EPS = earnings per share.

In the end, there is a possibility that Lam will grow at a stronger pace than Wall Street's expectations in the long run, and this should pave the way for more upside in this AI stock. With Lam trading at just 23 times trailing earnings, investors are getting a great deal on this stock right now, and they may not want to miss it, considering the AI-fueled gains it could deliver.