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3 AI Stocks With At Least 26% Earnings Growth

Simply Wall St·10/30/2026 14:46:21
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The Bank of Japan now says inflation is broadly in line with its 2% goal, and it is keeping rates around 1.25% while it watches the impact of earlier hikes. That kind of measured policy shift keeps investors focused on companies that already have solid finances. This article highlights three US stocks that currently appear financially sound and may warrant further research.

The three stocks highlighted here offer a compelling starting point if you want exposure to healthy high growth potential businesses with balance sheets that currently look reasonably robust. However, if you want the names that matter most, these 82 best high growth potential stocks are the strongest companies we've found.

Advanced Micro Devices (AMD)

Overview: Advanced Micro Devices designs and sells processors, graphics chips and AI hardware that power data centers, PCs, gaming devices and embedded systems worldwide.

Operations: AMD currently generates about US$22.2b from Data Center, US$11.8b from Client, US$3.7b from Embedded and US$3.6b from Gaming products.

Market Cap: US$924.7b

AMD fits the healthy high growth potential theme because its AI accelerators and EPYC data center processors give it direct exposure to rising AI and cloud spending. The wider product portfolio helps support an acceptable financial footing.

"Planned growth in server CPU revenue, which management guides to rise more than 80% year over year in the second half of 2026 and more than 70% in full year 2027, positions AMD to increase the mix of higher margin data center products."

What happens to those higher margin ambitions if a single pressure point in AI infrastructure demand or customer deployment timing shifts?

If that timing risk matters to you, read the full narrative for Advanced Micro Devices to see how AMD's product cycle, pricing power and competition could reshape the payoff profile from here.

NasdaqGS:AMD Earnings & Revenue Growth as at Oct 2026
NasdaqGS:AMD Earnings & Revenue Growth as at Oct 2026

Cerebras Systems (CBRS)

Overview: Cerebras Systems builds wafer scale AI chips and full compute racks that aim to accelerate generative AI and large model workloads.

Operations: Cerebras currently generates about US$680.7 million from semiconductors, largely from AI infrastructure sold across the US and Europe, Middle East and Africa.

Market Cap: US$27.3b

Cerebras Systems matters for the Healthy high growth potential theme because its AI infrastructure is directly tied to growing demand for faster, more efficient model inference.

"The Wafer-Scale Engine 3 keeps 44 gigabytes of lightning-fast SRAM memory mere nanometers away from the compute cores, eliminating the severe latency penalties that occur when traditional GPUs have to retrieve data from external memory pools. Its $24.6 billion Remaining Performance Obligations provide an incredibly stable revenue floor, locking in an annualized forward revenue baseline of roughly $1.845 billion through 2027."

What happens to Cerebras Systems’ earnings path if a single assumption about how quickly customers migrate inference workloads to this architecture shifts?

If that pivot point is what you care about, read the full narrative for Cerebras Systems and see how Cerebras Systems’ wafer scale bet could accelerate or stall from here.

NasdaqGS:CBRS Earnings & Revenue Growth as at Oct 2026
NasdaqGS:CBRS Earnings & Revenue Growth as at Oct 2026

Oracle (ORCL)

Overview: Oracle provides cloud applications and database services like Fusion Cloud ERP, HCM, SCM and NetSuite that anchor its earnings-focused SaaS growth.

Operations: Oracle currently generates about US$62.8b from cloud and software, US$5.8b from services and US$3.2b from hardware.

Market Cap: US$438.2b

Oracle matters for the Healthy high growth potential theme because its Fusion Cloud and NetSuite subscription suites sit on top of a growing base of contracted AI and cloud workloads that analysts expect to drive strong earnings growth over the next few years.

"Oracle is building gigawatt-scale data centers. One massive, 1,100-acre campus in Abilene, Texas, featuring eight buildings, is dedicated initially to OpenAI workloads and will be the largest supercomputer ever constructed, functioning as a single giant supercluster networked together by massive interconnections."

What happens to Oracle’s earnings path if a single assumption about how quickly that contracted cloud backlog turns into cash flow shifts?

That timing question is exactly what the full narrative for Oracle unpacks, revealing how Oracle’s AI data center buildout could decouple cash flow and earnings expectations.

NYSE:ORCL Earnings & Revenue Growth as at Oct 2026
NYSE:ORCL Earnings & Revenue Growth as at Oct 2026

Seeking Fresh Alternatives Before They Fly

Fresh opportunities rarely stay quiet for long. Breakout momentum often gets caught once the crowd piles in. Scan under the radar for now, while it matters, and get in early.