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Meta CEO Mark Zuckerberg has offered bonuses for signing $ 100 million to the best Openai employees.
David Paul Morris | Bloomberg | Ghetto images
The artificial weapon intelligence competition is heated and as the technology giants are confronted with the top, they hang millions of dollars in front of a small talent from specialists in what has become known as AI Talent War.
You can see large technology companies like Meta., Microsoftand Google Compete for the best II researchers in an attempt to strengthen their artificial intelligence units and to dominate the multidimensional market.
Meta CEO Mark Zuckerberg has recently undertook the expensive employment to enhance new laboratories to start AI’s AI. This includes poaching Scale AI co -founder Alexander Wang As part of an investment of $ 14 billion in launch.
In the meantime Bonuses to sign $ 100 million And even higher compensation packages.
If I am going to spend a billion dollars to build a (AI) model, $ 10 million for an engineer is a relatively low investment.
Alexandru Walk
Head of Corporate Cases and Policy at Synthesia
Google is also a player in the talent war temptable Varun MohanCo -founder and CEO of Artificial Intelligence Coding Startup Windsurf to join Google Deepmind in a $ 2.4 billion deal. Meanwhile Microsoft Ai quietly hired two dozen Google Deepmind employeesS
“There was an intense competition for talent in the space of software engineering even 15 years ago, but as artificial intelligence became more capable, researchers and engineers specializing in this area remain relatively stable,” said Alexandru Voya, the head of the Casa and the AI ​​-based SY -Video Platform policy.
“You have this situation with supply and supply when demand now has jumped, but supply is relatively constant and as a result there is (salary) inflation,” added Voica, a former meta employee and current consultant at the University of Mohamed Bin Zayed.
Waika said that multi -million dollar compensation packages are a phenomenon that the industry has never seen before.
Here’s what’s behind the AI ​​talents war:
Building AI models costs billions
The salaries of specialists come hand in hand with a billion dollars prices to build AI models behind your favorite AI products like Chatgpt.
There are different types of AI companies. Some, such as Synhesia, Coher, Replika and Lovable, build products; Others, including Openai, Anthropic, Google and Meta, build and train large language models.
“There are only a handful of companies that can afford to build these types of models,” Voyka said. “It’s very intense. You have to spend billions of dollars, not many companies have billions of dollars to spend a model. And as a result, these companies, the way they approach it is:” If I spend a billion dollars for building a model, $ 10 million per engineer is a comparative investment. “
Anthropic Executive Director Dario Amade told Time magazine in 2024 that he expects AI Border Model Training Costs AI be $ 1 billion this year.
The Stanford University of AIA Institute has recently prepared a report showing Estimated Price of AI Model Selection Price Between 2019 and 2024, Openai’s GPT-4 cost $ 79 million to build in 2023, while Google’s Gemini 1.0 Ultra was $ 192 million. Meta’s Llama 3.1-405B costs $ 170 million for construction in 2024.
“The companies that build products pay to use these existing models and build on them, so the capital costs are lower and there is not so much pressure to burn money,” Voya said. “The space where things are very hot about wages are the companies that build models.”
Ai specialists are in search of
The average salary for a machine training engineer in the United States is $ 175,000 in 2025, for really data.
Pixelonestocker | Moment Ghetto images
Machine training engineers are AI specialists who can build and train these large language models – and the demand for them is high on both sides of the Atlantic, said Ben Litvinof, an associate director at the Robert Walters Company Robert Walters, he said.
“There is definitely a great increase in demand for both AI aimed at AI analyzes and in particular machine learning, so people working with large language models and people have more advanced or supported by GPT or more advanced AI technologies,” Litvinoff explained.
This includes a “thin talents pool” by experienced professionals who have been working in the industry for years, he said, as well as scientists about AI research who have graduated with PhD students in the first five or six universities in the world and are clicked by technology giants at completion.
This leads to mega payment packages, with Zuckerberg being reported offering $ 250 million On a 24-year-old AI Genius Matt Datke, who was eliminated by a PhD for Computer Science at the University of Washington.
Meta directed CNBC to Zuckerberg’s comments on information where Facebook founder said there was an “absolute premium” for the best talents.
“Many of the reported specifics are not accurate in themselves. But this is a very hot market. I want to say, as you know, and there are a small number of researchers who are the best in demand from all different laboratories,” Zuckerberg told The Tech Publication.
“The amount that is spent to recruit people is actually still quite small compared to the overall investment and all that you talk about Super Intelligence.”
Litvinoff estimated that on the London market, machine learners and chief engineers are currently earning six -digit salaries ranging from 140,000 to 300,000 British pounds for more senior roles.
In the US, the average salary for machine learner is $ 175,000, reaching nearly $ 300,000 in the higher end, according to a trulyS
Startups and traditional industries remain behind
As the technology giants continue to smear the best minds in AI with the mammoth wages, there is a risk that startup companies will remain behind.
“Some of these startup companies that are trying to compete in this space of construction models is difficult to see a way forward for them because they are stuck in the space: the models are very expensive to build, but the companies that buy these models do not know if they can afford the prices that cover the cost of building the model.”
Mark Miller, founder and CEO of Insurevision.Ai, Recently told Startup magazine that this war of talent also creates a “huge gap in opportunities” in traditional industries.
“Whole industries such as insurance, healthcare and logistics cannot compete in salary. They need innovation but cannot gain access to talent,” Miller said. “The current situation is absolutely unstable. You can’t have an industry to store all the talent while others dry out.”
Voica said AI specialists would have to make a choice. While some will accept higher salaries and Big Tech’s bureaucracy, others will tilt to start -up companies where salaries are less, but employees have more property and impact.
“At a big company, you are essentially a tooth in a machine, while you can have a lot of influence on startup. You can have a lot of impact through your work and you think this impact,” Wi said.
While the cost of building AI models has not been reduced, however, high salaries for AI talent are likely to remain.
“While companies will have to spend billions of dollars on building the model, they will spend tens of millions or hundreds of millions to hire engineers to build these models,” Voyka added.
“If suddenly tomorrow, the cost of building these models decreased by 10 times, the salaries I would expect will also be reduced.”
