Forbes AI50 List Released: OpenAI, Anthropic Lead, 20 Newcomers Signal What's Next
Forbes lists are industry bellwethers.
2026 AI50 list drops—no surprise, OpenAI and Anthropic still lead. But dig into the details, some interesting things emerge.
Top Players: The Strong Get Stronger
OpenAI and Anthropic: combined funding of $242.6 billion.
What does that mean? This year’s AI50 total funding is $305 billion. These two account for nearly 80%.
AI’s Matthew Effect is even more severe than imagined.
OpenAI just raised $122 billion, post-money valuation $852 billion. Anthropic’s annualized revenue surpassed $30 billion, reportedly preparing for IPO.
These two have basically locked in “tier one”—others can hardly challenge.
New Faces: 20 Companies Worth Watching
20 new companies this year, up significantly from last.
I scanned the list, found several trends:
1. Embodied Intelligence Heating Up
5 new companies focus on Embodied AI.
What’s embodied intelligence? Simply put, “AI with a body”—robots, autonomous vehicles, smart hardware.
This sector was cold last year, suddenly hot now. Reason’s simple: large models are mature, next step is “deployment”.
Embodied AI is the bridge from large models to the physical world.
2. AI Healthcare Keeps Warming
Medical imaging, drug discovery, personalized treatment plans… multiple companies in these spaces.
AI healthcare’s characteristic: high barrier, but high ceiling too. Once successful, market potential’s huge.
3. Vertical Applications Emerging
Legal AI, financial AI, education AI… more companies focusing on specific verticals.
General models (GPT, Claude) are strong, but in specific scenarios, vertical models might be more precise, efficient.
How Are Chinese Companies Doing?
6 Chinese companies this year, up 2 from last.
Beyond giants like Alibaba, Baidu, ByteDance, Tencent, several startups made the list.
Notably, Chinese companies’ selection reason is often: scale deployment capability.
Large domestic market, rich application scenarios—unique advantages for Chinese companies.
What Does This Mean for Entrepreneurs?
If you’re considering AI entrepreneurship, this list offers insights:
1. Base Model Race Is Closed
Want to build base models? Too late—the leaders have occupied the field.
OpenAI, Anthropic, Google, Meta… their accumulation in compute, talent, data is hard for new players to catch.
2. Application Layer Still Has Opportunities
Going deep in a vertical might be wiser.
Many Forbes-listed vertical application companies started with “solving one specific problem.”
3. Embodied AI Worth Watching
Still early in this sector. High technical barrier, but many opportunities.
If you have robotics or hardware background, might be a good time to enter.
4. Open Source Ecosystem Is the Breakthrough
Several newcomers built on open-source models.
Open-source models (Qwen, Llama) perform well enough—entrepreneurs don’t need to train from scratch.
An Interesting Data Point
Forbes calculated average valuation growth of listed companies: 3.2x over the past 12 months.
Behind that number: capital frenzy.
But be warned: high valuation ≠ high success probability.
Historically, many hot-sector stars ultimately failed at commercialization.
AI company value ultimately depends on solving real problems, generating real revenue.
My Observation
This list’s biggest value isn’t telling us “who’s best,” but revealing AI industry entering a new phase.
Phase 1: Technical Breakthrough (2022-2024)
Everyone competing on model capability—strongest model wins.
Phase 2: Application Deployment (2025-2026)
Models are capable enough; the key is finding right scenarios, turning tech into products.
We’re at the start of phase two.
Forbes AI50’s 20 newcomers might be the next phase’s winners.
Or casualties when the bubble bursts.
That’s startup allure—nobody knows the ending, you just bet.