AI technologies powering these companies
Most AI innovation across these stocks falls into a few core categories:
- Machine learning: Models trained on large datasets to identify patterns and make predictions.
- Deep learning: Advanced neural networks used in language models, image recognition, and autonomous systems.
- Generative AI: Tools that create text, images, video, or code in response to prompts.
Pros and cons of investing in AI stocks
Pros
- Significant long-term growth potential
- Broad adoption across industries
- Potentially transformative technology
Cons
- Valuations can be volatile
- Heavy capital spending may not pay off
- Competition and disruption remain intense
What to consider when investing in AI stocks
Investing in AI stocks requires a lot of the same analysis and considerations as investing in any stock. Here are some things to consider if you're investing in AI stocks.
Look for durable advantages
Most AI stocks are well-established tech companies, but some have stronger competitive advantages than others in AI. Nvidia, for example, dominates the market for data center GPUs, giving it a strong competitive advantage.
Understand the business model
There are lots of different ways to make money in AI. There are chip companies like Nvidia, infrastructure companies like CoreWeave, software companies like Adobe, and companies like Microsoft that are diversified across verticals. Each one of these subsectors offers a different set of risks and opportunities, and it's important to understand how they differ from each other.
Assess AI exposure
Most tech stocks are doing something with AI, but some companies have more exposure than others. Nvidia and CoreWeave, for example, are virtually pure-play AI stocks, making most of their revenue directly by powering AI. Meta, on the other hand, makes almost all of its revenue from advertising, though it says that AI has enhanced its advertising product.
Strategies for investing in AI stocks
The AI sector is relatively new, and having a strategy is key to success.
First, it's a good idea to diversify your holdings across different AI subsectors. This means, in addition to holding a semiconductor stock like Nvidia. You'll also want to consider a hyperscaler like Amazon or Alphabet, or a software stock like Microsoft and Palantir. Perhaps even a physical AI company like Tesla. You can also diversify internationally with a stock like Alibaba, Taiwan Semiconductor, or ASML. Even within semiconductors, you can diversify with an equipment maker or manufacturer like ASML or Taiwan Semi, or a memory-chip maker like Micron.
You can also consider using ETFs to invest in AI stocks, as they will do the work of diversifying. Some good options are the Van Eck Semiconductor ETF, and the Global X Artificial Intelligence & Technology ETF.
You'll also want to consider growth rate and valuation. Most AI stocks are growing rapidly, but not all of them are. Additionally, valuations are lower than you might expect for some of these stocks, especially in the semiconductor sector.
Finally, it's worth considering how much exposure these stocks have to AI. Some, like Nvidia and CoreWeave, have a high degree of exposure, while others, like Amazon and Meta, are mostly moving in line with their core businesses.
The bottom line
AI is already translating into real revenue and sustained investment, and the strongest opportunities in 2026 are coming from the companies building and deploying AI at scale.
If you’re investing in AI stocks, a long-term mindset and diversification across several leaders can help balance growth potential with risk.
