The AI revolution is in full swing, and the second wave promises to be even more transformative than the first. While the initial wave of AI created a few millionaires, the upcoming phase is set to democratize wealth creation, offering opportunities for a broader range of investors and entrepreneurs. What makes this particularly fascinating is the shift from hardware dominance to a more diverse landscape, where inference and agentic AI are taking center stage. This evolution is not just about new technologies; it's about the potential for a more inclusive and dynamic market.
In my opinion, the stocks that will shine in this new era are those that can adapt to the changing demands of the market. Let's take a closer look at three companies that are well-positioned to capitalize on the second wave of AI.
AMD: The Inference and Agentic AI Winner
Advanced Micro Devices (AMD) is a company that has long been a niche player in the AI space, but it is now poised to become a major player in the age of inference and AI agents. What makes AMD particularly interesting is its modular chiplet design, which allows for more memory capacity and positions it well for inference tasks. Additionally, its partnerships with OpenAI and Meta Platforms for next-generation GPUs for inference should drive strong growth in the coming years.
One thing that immediately stands out is the company's opportunity in the data center central processing unit (CPU) market. With the rise of agentic AI, the ratio of GPUs to CPUs in AI servers is expected to move from 8:1 to 1:1. AMD is already the leader in this space, and with demand expected to outpace supply, it has a huge growth opportunity in front of it. Furthermore, its acquisition of ZT Systems allows it to offer complete AI racks designed specifically for tasks such as inference or agentic AI, opening up another growth driver for the company.
However, what many people don't realize is that AMD's success in the CPU market is not just about the hardware. It's about the software and the ecosystem that surrounds it. AMD's ability to partner with major players in the AI space and its focus on innovation and development make it a strong contender in the second wave of AI.
Broadcom: The Custom Chip Winner
As the market moves more toward inference, hyperscalers (owners of large data centers) are looking to turn to custom AI ASICs (application-specific integrated circuits) to save costs. Broadcom, the leader in ASIC technology, is well-positioned to benefit from this trend. The company helped co-develop Alphabet's highly successful tensor processing units (TPUs), and it continues to profit from Alphabet's deployment of these chips.
What makes Broadcom particularly fascinating is its ability to work with major players in the AI space. The company's partnership with Anthropic, which has already placed a $21 billion order for this year and has made commitments for more chips in the future, is a testament to its expertise and reputation. Additionally, Broadcom's fast-growing data center networking business is set to see explosive growth in the coming years, as the demand for custom chips and networking solutions continues to rise.
However, one thing that raises a deeper question is the company's reliance on hyperscalers. While Broadcom's partnership with Alphabet is strong, the company's success is tied to the success of its largest customers. This raises a question about the company's long-term sustainability and its ability to adapt to a changing market.
Micron: A Memory Leader
One of the biggest bottlenecks in the AI infrastructure market right now is DRAM (dynamic random access memory), and the rise of inference and agentic AI is only likely to intensify that dynamic. Inference tends to be more memory-bound than compute-bound, as when an AI model responds, it must access its key-value (KV) cache, which is typically stored in the high-bandwidth memory (HBM) attached to an AI chip. Meanwhile, AI agents need to retain and process more information as they carry out multistep tasks, creating even greater demand for memory.
This is good news for Micron, one of the big three DRAM memory makers, along with Korean companies SK Hynix and Samsung. While the DRAM market has historically been highly cyclical, the demand for HBM is directly attached to GPUs and high-performance data center CPUs, giving it a huge secular tailwind. Additionally, the DRAM makers have begun signing longer-term commitments, which should improve visibility and reduce some of the industry's traditional volatility.
However, what many people don't realize is that Micron's success in the memory market is not just about the hardware. It's about the software and the ecosystem that surrounds it. Micron's ability to partner with major players in the AI space and its focus on innovation and development make it a strong contender in the second wave of AI.
The Broader Implications
The second wave of AI is not just about new technologies; it's about the potential for a more inclusive and dynamic market. The shift from hardware dominance to a more diverse landscape, where inference and agentic AI are taking center stage, is a testament to the power of innovation and adaptation. It's also a reminder that the AI revolution is not just about creating new millionaires; it's about creating a more equitable and sustainable future for all.
In my opinion, the companies that will shine in this new era are those that can adapt to the changing demands of the market. AMD, Broadcom, and Micron are well-positioned to capitalize on the second wave of AI, but the real winners will be those that can navigate the challenges and opportunities of this new era with innovation, adaptability, and a commitment to creating a better future for all.
