The “Trough of Disillusionment” Will Create the Best Opportunity to Buy Artificial Intelligence (AI) Stocks in 2026.

The past few weeks have been challenging for the market as a whole. But they’ve been woeful in most artificial intelligence (AI) stocks. Microsoft shares fell more than 20% from the peak of last year, for example, during Broadcom down more than 10%. The Oracle (NYSE: ORCL) shares have been cut in half due to concerns about spending on AI infrastructure that may or may not pay off.

What gives? Simply put, investors have received a wake-up call about the cost of AI, again value. It’s not living up to the hype. The leading tech tickers are also priced to reflect this fact.

Will AI create the world’s first trillionaire? Our team recently released a report on one little-known company, called “Indispensable Monopoly” that provides essential technology needed by both Nvidia and Intel. Continue »

But don’t give up on the AI ​​revolution just yet. You should view this lull as a long-term buying opportunity, in fact. This storm is simply the next predictable phase of a psychological cycle that most investors have seen time and time again.

The particular phase AI is in right now — called “disappointment mode” — predates the best recovery of many top stocks in any industry.

Technology market research and consulting firm Gartner recognized and legitimized what is now commonly known as the Gartner Hype Cycle. It consists of five categories with many new technologies placing their subsidiaries (and their stocks). The five stages in order from beginning to end are:

1. Innovation Trigger: New technologies have been developed, and they work, even if there is no clear marketable use for them.

2. High Value of Rising Expectations: The need for the technology in question is starting to become clear, generating huge interest — and investment.

3. Path of Disappointment: As it turns out, while the technology has its place, it is clear that it is less likely than the initial hype stated. Some related companies are starting to falter.

4. Light Slope: The cost of technology is decreasing, its functionality and purpose are increasing, and the remaining companies are starting to turn it into a viable, marketable business.

5. The Plateau of Productivity: The industry is stabilizing as the underlying technology becomes mainstream. The unprofitable players bowed out, leaving the active ones in place.

And whether they realize it or not, seasoned investors have seen this cycle play out many times. Virtual reality, solar panels, voice over internet protocol (VoIP), 3D printers, and speech recognition are just some of the technologies that were all the rage in their infancy. Then it was cool when the real thing started. Now, all of this is the basis of a viable business.

The granddaddy of all examples of an industry going through a Gartner Hype Cycle is, of course, the dot-com boom of the late 1990s followed by the dot-com crash of 2000. Most of those companies no longer exist. The survivors, however, are the mainstays of the Internet.

Done and defined like this, it is clear that AI is indeed in the midst of its own disillusionment. There is little doubt that the world will use AI in the future. However, it cannot be denied that it has not shown the true value everywhere it was expected to do — “disappointment.”

The results of a recent study from the National Bureau of Economic Research put things into perspective, showing that more than 80% of the 6,000 chief financial officers interviewed reported that AI was not having a positive impact on employee productivity. Why keep investing in it if it doesn’t matter?

However, there is a reason. It’s next on Gartner’s list: the enlightenment trend, where those CFOs and CEOs are starting to see what AI is good for, and what it’s good for. Most office workers probably don’t need access to their digital assistant. But artificial intelligence is undoubtedly suitable for tasks such as cybersecurity, forecasting, and creating or editing digital images.

With this in mind, which AI stocks should investors buy before the next phase of enlightenment? The aforementioned Oracle is undoubtedly one of them. Although the company has been a provider of remotely accessed data for most of its existence, its adaptation to serve the AI ​​market is promising. Based on business already planned, executives expect AI infrastructure revenue to grow from $18 billion this year to $144 billion by 2030. That’s nearly three times the highest Oracle reported in the entire previous fiscal year.

Alphabets (NASDAQ: GOOG) (NASDAQ: GOOGL) another AI name you can consider buying here. This stock has been one of the few (mostly) to defy the bearish sentiment caused by the technical stumble into the bearish hole.

Artificial intelligence isn’t even close to being Alphabet’s big business, for the record. That’s still Google’s search engine, along with all its ancillary services like Gmail or Google Docs. The cloud computing arm in which the company’s AI business is represented only accounted for about 15% of last year’s revenue and operating income.

Alphabet cloud unit is something the fastest growing part of the company, however, is thanks to AI. And business is arguably better positioned than any other to capture any growth that awaits artificial intelligence now that the world is willing and able to use it in meaningful ways.

For example, while ChatGPT is still the most widely used AI-powered chatbot in the world, Statcounter reports that Google’s Gemini is the most profitable market leader due to its business-oriented capabilities. At the same time, Google Docs continues to displace Microsoft Office as the productivity software platform. Google Cloud is growing more than all of its competitors within the cloud computing arena as well, according to Synergy Research Group’s numbers.

This ever-deepening reach into the corporate world leaves Alphabet well-positioned to capitalize on the approaching light, well-suited focus on the enterprise and enterprise-level customers that Google already serves.

It is also argued that Alphabet will make it much easier for institutions to use quantum computing if that technology is ready for commercialization.

Or if you want something a little off the radar, Recursion Pharmaceuticals (NASDAQ: RXRX) uses artificial intelligence to discover and develop new medicines, while UiPath (NYSE: PATH) focuses on the evolution of computer performance. Both are worth adding to your long-term watch list.

One AI name that arguably doesn’t deserve to be mentioned here in the realm of disappointment? Surprisingly enough, it is the aforementioned Microsoft. While it’s still a powerhouse, it’s not showing superiority in any aspect or piece of the AI ​​business — at least not yet. But resilience is the key ingredient to a successful stock in any industry.

Before buying stock in Oracle, consider the following:

I The Motley Fool Stock Advisor a team of analysts has just identified what they believe to be 10 best stocks for investors to buy now… and Oracle was not one of them. The 10 stocks that made the cut could produce huge gains in the coming years.

Think about when Netflix made this list on December 17, 2004… if you invested $1,000 during our recommendation, you will have $495,179!* Whenever Nvidia made this list on April 15, 2005… if you invested $1,000 during our recommendation, you will have $1,058,743!*

Now, it’s worth noting Stock Advisor’s the average total return is 898% – outperformed the market by 183% for the S&P 500. Don’t miss the latest top 10 list, available via Stock Advisorand join an investment community built by individual investors for individual investors.

See 10 stocks »

*Stock Advisor returns from 22 March 2026.

James Brumley has positions in Alphabet. The Motley Fool has positions and recommends Alphabet, Microsoft, Oracle, and UiPath. The Motley Fool recommends Broadcom and Gartner. The Motley Fool has a policy of disclosure.

Prediction: “Trough of Disillusionment” Will Create Best Opportunity to Buy Artificial Intelligence (AI) Stocks in 2026 was first published by Motley Fool.