For the last few years, when people talked about making money from AI, the conversation was usually about the same names.
Nvidia.
OpenAI.
Anthropic.
The companies building the chips, data centers, and large language models powering the AI boom.
But something interesting is happening now.
A new generation of AI billionaires is emerging, and most of them are not building the foundation models that dominate headlines. Instead, they are taking AI and applying it to old industries like law, healthcare, customer service, recruiting, and software development.
In other words, the first wave built the engines. The second wave is building the businesses that use those engines.
And that shift may tell us a lot about where the next phase of AI investing is headed.
The New AI Rich
According to Bloomberg’s latest analysis, 19 new billionaires have been created from AI startups over the past year alone.
Together, they are worth more than $59 billion.
What makes this group different is not just the money. It is where the money is being made.
Instead of selling GPUs or training giant AI models, many of these companies are solving specific industry problems.
Think about it this way:
- Lawyers spend hours reviewing contracts.
- Doctors spend hours searching medical research.
- Customer service teams answer repetitive questions all day.
- Software engineers spend time fixing bugs and maintaining code.
AI can automate large portions of these tasks.
The companies doing that are becoming incredibly valuable.
Harvey: The AI Lawyer
One of the most successful examples is Harvey.
Founded by former roommates Gabe Pereyra and Winston Weinberg, Harvey focuses entirely on the legal industry.
Its software helps lawyers:
- Conduct legal research
- Review contracts
- Draft documents
- Automate repetitive legal work
The company is already valued at $11 billion.
What is fascinating here is that Harvey is not trying to replace lawyers.
Instead, it acts like an AI associate working alongside them.
That theme appears repeatedly across many of the new AI winners.
The biggest opportunities are not necessarily replacing professionals.
They are helping professionals become dramatically more productive.
OpenEvidence: AI For Doctors
Healthcare is another area attracting enormous investment.
OpenEvidence has built an AI assistant specifically for physicians.
Doctors can use it to:
- Search medical literature
- Review treatment information
- Access relevant research
- Support clinical decision-making
The company says its technology has already been used in more than 100 million doctor-patient interactions.
Its valuation has reached $12 billion.
Healthcare generates huge amounts of information every day. AI’s ability to process and summarize that information creates a powerful use case.
Many investors believe healthcare could become one of the largest AI markets outside technology itself.
The Quiet Gold Rush: Data Labeling
One of the most surprising winners in AI is a business most people have never heard of.
Data labeling.
Before AI models can understand images, videos, documents, or audio, someone has to organize and label that information.
That work has become incredibly valuable.
Two companies stand out:
Mercor
Mercor recruits experts including:
- Doctors
- Engineers
- Writers
- Subject specialists
These experts help create training data that is then sold to AI companies.
The startup’s annualized revenue reportedly grew from about $100 million to $1 billion in roughly a year.
Surge AI
Unlike many startups, Surge AI did not raise huge amounts of venture capital.
Founder Edwin Chen built the business largely without outside funding.
Today, the company generates over $1 billion in annual revenue and is valued at nearly $16 billion.
Sometimes the biggest fortunes are made by selling picks and shovels during a gold rush.
Data labeling may be one of AI’s modern picks-and-shovels businesses.
AI Is Learning To Write Code
Another major trend is autonomous software development.
Several startups are building AI agents that can write, test, debug, and maintain code with minimal human involvement.
Cognition
Cognition’s flagship product, Devin, is one of the best-known AI coding agents.
Instead of simply suggesting code, Devin is designed to complete entire software tasks independently.
The company has already reached a valuation above $10 billion.
Replit
Replit is another major winner.
Its platform is helping popularize “vibe coding,” where users describe what they want in plain language and AI generates the software.
This dramatically lowers the barrier to creating apps and websites.
For many people, the future may involve building software without ever learning traditional programming.
Customer Service May Never Be The Same
Most businesses spend significant money supporting customers.
AI is increasingly taking over that role.
Sierra
Founded by Silicon Valley veterans Bret Taylor and Clay Bavor, Sierra develops AI-powered customer service systems.
Companies can deploy AI agents to:
- Handle customer inquiries
- Resolve routine issues
- Provide support at scale
The company recently reached a valuation of $15 billion.
For businesses, the appeal is obvious.
Customer service is expensive.
AI promises to deliver faster responses at lower cost.
Not Everyone Is Competing With OpenAI
One common assumption is that every AI startup must compete directly with OpenAI, Anthropic, or Google.
The reality is more nuanced.
Many of these companies are building products on top of the major AI models rather than trying to replace them.
They focus on:
- Industry-specific knowledge
- Specialized workflows
- Enterprise integrations
- Proprietary datasets
That specialization can create strong competitive advantages.
A lawyer does not necessarily need a better language model.
They need a better legal workflow.
A doctor does not necessarily need a smarter chatbot.
They need better medical insights.
That distinction matters.
The Big Question: Will AI Wealth Concentrate Or Spread?
This may be the most important takeaway from the entire story.
The first phase of AI concentrated enormous value in a small group of companies.
Nvidia, OpenAI, Anthropic, Microsoft, and a handful of others captured most of the attention and capital.
The second phase may look different.
If AI becomes a platform rather than a product, thousands of companies could be built on top of it.
Some will focus on healthcare.
Others on law.
Others on finance, education, engineering, science, or customer service.
That would create a much broader AI ecosystem and spread the economic benefits across many more businesses.
Of course, there is still risk.
OpenAI and Anthropic are increasingly building products that overlap with some of these startups. Large AI labs have the resources to move into many adjacent markets.
But history shows that platform shifts often create opportunities for specialists.
The internet created Google.
It also created Shopify, Netflix, Airbnb, Uber, and thousands of other companies.
AI may follow a similar path.
What Investors Should Watch
A few years ago, investing in AI largely meant investing in infrastructure.
Today, the conversation is expanding.
Investors should pay attention to companies that are:
- Applying AI to specific industries
- Solving real business problems
- Building proprietary datasets
- Improving professional productivity
- Creating workflows that customers rely on daily
The next generation of AI winners may not be building the model.
They may be building the business that sits on top of it.
And judging by the 19 new billionaires created this year, that opportunity is already producing extraordinary results.