My top two are Nvidia (NVDA<\/a> +1.77%) and Taiwan Semiconductor (TSM<\/a> +0.90%). Both of these companies are seeing huge growth thanks to the AI arms race, and their impressive performance doesn’t seem to be slowing down anytime soon. I think these two are must-buys for every growth investor, especially heading into 2026 — a year slated to see significant AI growth again.<\/p>\n Image source: Getty Images.<\/p>\n Nvidia and Taiwan Semiconductor are integral to the AI arms race<\/p>\n Nvidia has been the go-to computing unit provider since the AI trend began. Its graphics processing units (GPUs)<\/a> and the ancillary products that support them give Nvidia the best ecosystem in the industry, which is why it has dramatically outperformed AMD\u00a0so far in the AI boom.<\/p>\n Additionally, it’s holding its own against Broadcom, which is partnering directly with AI hyperscalers to develop its own custom AI chip that can outperform GPUs at a cheaper price point, but at the cost of flexibility. Nvidia clients love the flexibility that its products offer, and there’s a good reason why its products are still the top-selling computing units in the AI megatrend.<\/p>\n Today’s Change<\/p>\n (1.77%) $3.31<\/p>\n Current Price<\/p>\n $190.17<\/p>\n Key Data Points<\/p>\n Market Cap<\/p>\n $4621B<\/p>\n Day’s Range<\/p>\n $180.58 – $191.01<\/p>\n 52wk Range<\/p>\n $86.62 – $212.19<\/p>\n Volume<\/p>\n 187M<\/p>\n Avg Vol<\/p>\n 184M<\/p>\n Gross Margin<\/p>\n 69.85%<\/p>\n Dividend Yield<\/p>\n 0.00%<\/p>\n Nvidia is known as a fabless chip company. It designs the product, then outsources the manufacturing work to others. One of those is Taiwan Semiconductor. Taiwan Semiconductor is the world’s largest chip foundry business<\/a> and boasts nearly every major AI company as a client. Without TSMC’s production capabilities, none of the incredible generative AI<\/a> technology we experience today would be possible.<\/p>\n Taiwan Semiconductor is also working to solve AI’s biggest problem to date: energy consumption. AI hypercalers are spending hundreds of billions on data center capital expenditures, but they’re about to run into the bottleneck of power capacity.<\/p>\n Taiwan Semiconductor is offering a solution to this problem by launching a new chip generation that consumes 25% to 30% less power when configured to run at the same speed as prior generations. That’s a big deal, and it will allow companies like Nvidia to continue selling an immense number of high-powered computing chips because the grid can handle more of them.<\/p>\n Taiwan Semiconductor Manufacturing<\/p>\n Today’s Change<\/p>\n (0.90%) $2.55<\/p>\n Current Price<\/p>\n $284.75<\/p>\n Key Data Points<\/p>\n Market Cap<\/p>\n $1477B<\/p>\n Day’s Range<\/p>\n $273.25 – $286.83<\/p>\n 52wk Range<\/p>\n $134.25 – $311.37<\/p>\n Volume<\/p>\n 666K<\/p>\n Avg Vol<\/p>\n 13M<\/p>\n Gross Margin<\/p>\n 58.06%<\/p>\n Dividend Yield<\/p>\n 0.01%<\/p>\n With both companies benefiting massively from the AI buildout, the obvious question arises: When will it end? According to Nvidia, not for some time. Nvidia projects that global data center capital expenditures will rise to $600 billion this year, then increase to $3 trillion to $4 trillion by 2030. That’s a massive runway over the next few years, and each company will be primed to benefit from this general opportunity if that project pans out. Even if it’s a bit of an overestimation, the general direction is probably right, making Nvidia and Taiwan Semiconductor excellent buys now.<\/p>\n Neither stock is as expensive as it appears<\/p>\n Both Taiwan Semiconductor and Nvidia often get tagged with the stigma of being expensive. However, that’s not true. What investors fail to consider is the growth rate combined with the valuation. There’s a metric for this, known as the PEG ratio<\/a>. This factors in both growth and valuation, and any company with a PEG ratio under 1 is seen as undervalued.<\/p>\n TSM PEG Ratio<\/a> data by YCharts<\/a><\/p>\n Both Nvidia and Taiwan Semiconductor are undervalued by this metric, making them seem like fairly attractive investments, especially if the AI boom keeps growing at the pace that it has in the past. With AI hyperscalers slated to spend even more on data centers<\/a> in 2026 than in 2025, this trend seems likely.<\/p>\n<\/p>\n
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