Strong US jobs data and firm wage growth keep the focus on interest rates and the cost of capital. While large companies debate how fast to invest, smaller AI focused stocks can often move quicker and test new ideas in automation, data and machine learning. This article highlights three early stage AI small caps from our US screener that could help you think differently about long term growth.
The stocks covered below are just a sample, and the full screen surfaced 26 more AI small caps with equally compelling stories that are not included here. If you want to move quickly from idea to action, head straight into the AI Small Caps screener to identify, compare and analyze the AI small caps that best fit your own conviction and risk profile.
Butterfly Network (BFLY)
Overview:Butterfly Network is a medical imaging company that makes handheld ultrasound probes that plug into a smartphone or tablet, paired with its Compass AI and ScanLab software to help clinicians capture, manage and interpret scans in real time. The hardware and software work together to bring AI supported ultrasound out of traditional hospital suites and into everyday care settings, including at the bedside, in the field and in smaller clinics.
Operations:Butterfly Network generates about US$112 million in revenue from providing an AI enhanced personal ultrasound solution, with roughly US$92 million coming from the United States and about US$20 million from international markets.
Market Cap:US$2.0 billion
Investors looking beyond the mega cap AI stocks may want to watch Butterfly Network because its Compass AI and ScanLab platforms turn handheld ultrasound devices into software driven imaging tools that can guide users and interpret scans on the spot. That software layer is where the AI Small Caps theme really comes through, even though device sales still carry much of the revenue. Recent deals around ultrasound on chip technology and AI enabled brain computer interface applications add an extra source of potential opportunity but also execution risk. The company remains loss making and carries funding and governance questions. Revenue growth and raised 2026 guidance have been reported and some investors may view these developments as signs that the business is building momentum that is not yet widely reflected in market attention.
Butterfly Network's handheld ultrasound story is gaining attention, yet the real question is how its AI software, loss making profile, and funding needs fit together in one picture. Get the full context in the analysis report for Butterfly Network
Aehr Test Systems (AEHR)
Overview:Aehr Test Systems provides equipment that tests, burns in, and stabilizes semiconductor chips at wafer, die, and package level. Its FOX systems and WaferPak contactors are used to qualify photonic, integrated optical, processor, memory, and sensor devices that end up inside AI accelerators and AI related sensors. This AI linked testing capability sits alongside broader uses in power devices and consumer sensors, which means the company is tied to AI hardware growth without being entirely dependent on it.
Operations:Aehr Test Systems generates about US$50 million in revenue from designing, manufacturing and marketing advanced test and burn in products. This is supported by sales into Asia of roughly US$23 million, the United States of about US$21 million, and Europe and the Middle East of around US$7 million.
Market Cap:US$2.8 billion
Aehr Test Systems may appeal to investors who want exposure to the picks and shovels behind AI hardware rather than to the headline chip designers. Its FOX wafer level burn in platforms and WaferPak consumables sit directly in the production flow for AI processors and silicon photonics. This has contributed to a sizeable order backlog and recurring consumables demand. At the same time, the company is still working through a recent loss making year and is investing heavily in capacity, so any slowdown in AI data center or power device spending could affect margins and cash flow. With insider selling, customer concentration and premium valuation signals also in the picture, the key issue is how much growth in AI testing investors believe compensates for those risks.
Aehr Test Systems operates at the intersection of AI chip demand and real-world testing capacity, yet the full picture of its order backlog, consumables demand, and recent loss-making year is easy to miss. Get the 1 key reward and 2 important warning signs (1 is major!)
SharonAI Holdings (SHAZ)
Overview:SharonAI Holdings runs high performance GPU compute infrastructure for AI labs, large tech customers and enterprises, with a focus on AI optimized data centers in Australia and New Zealand backed by a collaboration with NVIDIA to deploy a 72MW AI factory using up to 40,000 Grace Blackwell GB300 GPUs. Its platform bundles compute, storage, networking and automation so customers can train and run advanced AI models on dedicated or shared cloud GPU capacity rather than building their own facilities.
Operations:SharonAI Holdings currently generates about US$3 million in revenue from its High Performance Compute Services segment, all from customers in the United States.
Market Cap:US$2.0 billion
SharonAI Holdings taps directly into the AI Small Caps theme by trying to solve a simple problem for the rest of the market: access to large scale GPU power without owning the hardware. The planned 72MW AI factory with tens of thousands of NVIDIA Grace Blackwell GPUs, multi year cloud agreements worth hundreds of millions of US dollars and recent deals to orchestrate up to 150,000 GPUs show how aggressively the company is leaning into AI infrastructure. At the same time, revenue is still very small, recent results include a loss of more than US$400 million in the first half of 2026, and management expects heavy capital needs to keep building out data centers. For investors, the key issue is whether this early stage, high risk build can turn contracted capacity into durable cash flow before funding pressure becomes too great.
SharonAI Holdings is racing to build huge GPU capacity while current revenue remains small. This raises an obvious question about how growth expectations stack up. Get the full context from the analyst forecasts for SharonAI Holdings
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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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