Financial analysts have identified two AI-related stocks to hold for the next decade as potential "millionaire-makers" this week [1, 2].
These recommendations signal a shift toward long-term infrastructure plays rather than short-term software gains. As artificial intelligence scales, the physical hardware and connectivity required to support these systems become critical bottlenecks for the entire industry.
Credo Technology Group (CRDO) is one of the primary companies identified in these reports [1, 2]. The company focuses on high-speed connectivity solutions, including its specialized cables used in data centers [1]. Recent data shows the Credo Technology Group stock price at 4.58% [1].
Analysts said the recommendation is based on the aggressive investment strategies of tech giants. These companies are investing tens of billions of dollars into AI infrastructure to maintain a competitive edge [2, 3].
Strong cash flow is another factor cited as a reason for the long-term outlook. This financial stability is expected to allow the identified companies to sustain growth, and research and development over the next 10 years [2, 3].
While some current reports focus on two specific stocks, other financial outlets have suggested different numbers of long-term AI picks. Earlier reports from February 2024 suggested three stocks [4] or even seven stocks [5] as primary holds. However, the current focus remains on a smaller, more concentrated group of infrastructure leaders [1, 2].
The growth of AI depends on the ability to move massive amounts of data between chips and servers. This makes the connectivity layer — where companies like Credo operate — a foundational element of the AI economy [1, 2].
“These recommendations signal a shift toward long-term infrastructure plays rather than short-term software gains.”
The emphasis on infrastructure stocks like Credo Technology Group suggests that investors are moving beyond the 'hype' of AI applications and focusing on the 'picks and shovels' of the industry. By prioritizing companies that provide the physical connectivity for data centers, the market is betting that the physical limitations of hardware will be the primary driver of value as AI models grow in complexity.
