3 Great AI Stocks To Own In September 2026

Bond yields are climbing to levels last seen in 2004, which forces investors to think harder about where growth potential might justify the higher cost of capital. That puts businesses tied to artificial intelligence in sharp focus, as AI tools are spreading across chips, cloud and software. This article highlights three companies from a curated list of AI-focused stocks that currently screen as undervalued on fundamentals.

The three AI stocks highlighted next are only a small sample of what screens as potentially mispriced opportunities linked to the ChatGPT and broader machine learning build out. The full filter surfaces another 137 businesses with similarly interesting stories that are not covered below.

If you want to go straight to the source and size up the wider field, analyze and identify your own highest conviction ideas using the Undervalued Artificial Intelligence/ AI Stocks screener.

Adobe (ADBE)

Overview: Adobe is a global software company whose Creative Cloud and Experience Cloud tools use generative AI to help professionals create and manage digital content.

Operations: Adobe reports geographic revenue from the Asia-Pacific region of US$3.6b and from Europe, Middle East and Africa of US$7.1b, alongside a segment adjustment of US$15.3b.

Market Cap: US$93.7b

Adobe matters for this AI screen because its core creative and marketing software now embeds generative tools directly into the workflows professionals already rely on. This positions the business as both a content engine and an AI platform for enterprises.

"If Adobe can maintain its approximately 45% non-GAAP operating margin while scaling its GPU infrastructure, it will prove the scalability of its AI model."

How a single assumption about the pace at which customers pay for those AI-heavy features changes could be crucial for investors.

That hinge point on AI monetisation sits at the centre of the full narrative for Adobe, which maps how Adobe’s margins, pricing power and competitive moat could be decoupling from past cycles.

Broadcom (AVGO)

Overview: Broadcom supplies high-performance chips and infrastructure software that power AI data centers, enterprise networks, private clouds and security systems.

Operations: Broadcom generates about US$59.4b from Semiconductor Solutions, including intellectual property licensing, and roughly US$29.7b from Infrastructure Software.

Market Cap: US$1,694.6b

For this AI-focused screen, Broadcom matters because its networking chips and custom AI accelerators help move and process the data that large models like ChatGPT rely on, while its VMware-based software gives enterprises tools to run their own private AI workloads.

"Broadcom is generating substantial free cash flow, expanding its custom silicon business, strengthening its position in networking, and integrating software assets that further diversify earnings."

What happens if one subtle shift in hyperscaler AI spending patterns changes how far that mix of hardware and software can stretch margins?

That hinges on whether that shift compresses returns or quietly accelerates them, which is exactly what the full narrative for Broadcom unpacks with scenarios that surface what the headline numbers may be masking.

Alphabet (GOOGL)

Overview: Alphabet runs Google Search, YouTube, Android and other consumer platforms, while Google Cloud sells enterprise AI, data and collaboration services worldwide.

Operations: Alphabet generates about US$367.1b from Google Services, around US$77.6b from Google Cloud and roughly US$1.5b from Other Bets.

Market Cap: US$4,168.3b

Alphabet matters for this AI screen because Google Cloud’s Vertex AI and Gemini tools give enterprises direct access to large language models, infrastructure and consumption-based AI services, even though advertising still drives most of the group’s sales.

"Google Cloud has gone from “meh” to money-maker. • Now #3 globally behind AWS and Azure, with over 11% market share."

What happens if one unseen shift in how much enterprises use Gemini across that backlog changes the profitability profile investors now assume.

That kind of shift in Gemini usage is exactly what the full narrative for Alphabet digs into, highlighting where Alphabet’s AI engine could be quietly accelerating value.

Seeking Fresh Alternatives Before They Fly

Some opportunities move from quiet to crowded quickly. Fresh ideas build momentum, then the best entry points get caught by the crowd. Scan these curated lists while it matters and look for candidates that suit your strategy early.

• Spot cash rich businesses with room to move by checking the list of solid balance sheet and fundamentals (24 results) that filters for resilient financial footing before broader attention increases.
• Track strong income payers that aim to keep distributions flowing through the 8 dividend fortresses and reduce the need to scramble for yield later.
• Target real assets that can benefit if metals regain momentum by scanning the curated 36 elite gold producer stocks while these producers may still attract relatively limited attention.

This article by Simply Wall St is general in nature. We provide commentary based on historical data and analyst forecasts only using an unbiased methodology and our articles are not intended to be financial advice. It does not constitute a recommendation to buy or sell any stock, and does not take account of your objectives, or your financial situation. We aim to bring you long-term focused analysis driven by fundamental data. Note that our analysis may not factor in the latest price-sensitive company announcements or qualitative material. Simply Wall St has no position in any stocks mentioned.

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