Technology giants pay talents millions of dollars star-news.press/wp

Meta Mark Zuckerberg CEO of Meta Mark Zuckerberg has provided signing bonuses worth $ 100 million to the best Openai.
David Paul Morris Bloomberg Gety pictures
The artificial intelligence arms race, and with the rise of technology giants to be released at the forefront, they hang millions of dollars in front of a small group of talents of specialists in what is known as Amnesty International Talent War.
It is witnessing large technology companies such as Meta, Microsoft and Google competing for the best artificial intelligence researchers in an attempt to enhance the sections of artificial intelligence and control the market of billions of dollars.
Mark Zuckerberg CEO of Meta Mark Zuckerberg recently began an expensive recruitment spree to enhance the new Superintelligence of the company. This unjust fishing included Amnesty International, co -founder Alexander Wang as part of a $ 14 billion investment at the start of operation.
Meanwhile, the CEO of Openai, Sam German, said that Meta CEO tried to seduce Top Openai Talent with signing bonuses worth $ 100 million and even higher compensation packages.
If you will spend one billion dollars to build a model (AI), $ 10 million per engineer is a relatively low investment.
Alexandro Voyka
Head of Companies and Politics Affairs at Synthesia
Google is also a player in the talent war, which tempts Varun Mohan, co -founder and CEO of Windsurf to start coding artificial intelligence, to join Google DeepMind in a $ 2.4 billion deal. Meanwhile, Microsoft Ai hired two Google DeepMind staff quietly.
“In software engineering space, there was intense competition for talents even 15 years ago, but with Alexandro Voyka, head of corporate and politics affairs at Synthesia, made CNBC,” told CNBC, “In the Software Engineering area, there was intense competition for talent even 15 years ago, but with Alexandro Voyka, head of corporate and politics affairs in Synthesia, made CNBC,” but with Alexandro Voyka, head of corporate and politics affairs at Synthesia, made CNBC, “said Alexandro Voyka, head of corporate and politics affairs at Synthesia, making CNBC,,” CNBC told CNBC.
He added, “You have the status of the supply and demand where the demand has risen now, but the supply was relatively fixed, and as a result, there is an enlarged (wage).”
Voicea said that millions of dollars compensation is an unprecedented phenomenon.
This is behind the Talent War, Amnesty International:
Building artificial intelligence models costs billions of dollars
The amplified salaries of specialists come along with $ 1 billion price signs to build artificial intelligence models-technology behind your favorite artificial intelligence products such as ChatGPT.
There are different types of artificial intelligence companies. Some, such as Synthesia, Cohere, Replika, beloved, products Building; Others, including Openai, Anthropic, Google, Meta, Building and Training Great Language Models.
“There are only a few companies that can build these types of models,” Voyka said. “It is very dense. You need to spend billions of dollars, and there are not many companies that have billions of dollars to spend on building a model. As a result, these companies, and the way you deal with is:” If you will spend one billion dollars to build a model, $ 10 million per engineer is a relatively low investment. “
The CEO of the Antarubor Company, Dario Ameudi, told Time magazine in 2024, he expected The cost of training artificial intelligence models To be $ 1 billion in that year.
The Institute of Artificial Intelligence at Stanford University recently produced a report that showed The estimated cost of construction models of artificial intelligence Between 2019 and 2024, GPT-4 cost $ 79 million to build in 2023, for example, while Gueini 1.0 Ultra of Google reached $ 192 million. Llama’s Llama’s 3.1-405B cost $ 170 million to build in 2024.
“The companies that build products are driving to use these current models and build on them, and therefore capital expenditures are less and there is much pressure to burn money,” said Voyka. “The space where things are very hot in terms of salaries are companies that build models.”
Specialists in artificial intelligence in demand
The average salary for the USA automatic engineer is $ 175,000 in 2025, already data.
Pixelonestocker | Moment Gety pictures
Bin Litvinov, assistant director of the Technology Employment Company, said that machine learning engineers are artificial intelligence professionals who can build and train these large language models – and demand them on both sides of the Atlantic Ocean.
“There is definitely a significant increase in demand in relation to all of the analyzes that focus on artificial intelligence and machine learning in particular, so people who work with large linguistic models and people who publish more advanced either AI-Tech AI-DARED AI-GPT.”
He said that this includes a “talent group” of experienced specialists who have worked in industry for years, in addition to artificial intelligence research scientists who have completed the doctorate in the best five or six universities in the world and are captured by technology giants upon graduation.
It leads to huge payment packages, with Zuckerberg Submit 250 million dollars To a 24 -year -old genius of artificial intelligence died your Death, who came out of the PhD program in computer science at Washington University.
Meta CNBC addressed Zuckerberg’s comments on information, where Facebook founder said there is an “absolute installment” for the highest talent.
“Many of the details that have been reported are not accurate on their own. But it is a very hot market. I mean, as you know, and there are a small number of researchers, who are the best, who demand all the different laboratories,” Zuckerberg Technical Publishing said.
“The amount that is spent to recruit people is still actually small compared to the total investment, all when you talk about superior intelligence.”
Litvinoff has estimated that in the London market, machine learning engineers and main engineers are currently getting six numbers ranging from 140,000 pounds to 300,000 pounds for more higher roles, on average.
In the United States, the average salary for a machine learning engineer is $ 175,000, reaching approximately $ 300,000 at the upper end, According to reality.
Strain companies and traditional industries are backward
With technology giants continuing to raise the best minds in artificial intelligence with the temptation of mammoth salaries, there is a risk of leaving startups.
“It is difficult to see some of these startups that try to compete in this field of construction models, it is difficult to see a way to move forward, because they are stuck in space: the models are very expensive to build, but the companies that buy these models, I do not know if they can pay their prices that cover the cost of building the form,” she noticed VOCA.
Mark Miller, founder and CEO of INSUREVISION.AI, Startups recently told This talent war also created a “big gap in opportunities” in traditional industries.
Miller said: “The entire industries such as insurance, health care and logistical services cannot compete for the salary. They need innovation but they cannot reach talent,” Miller said. “The current situation is not sustainable at all. You can’t have one industry that stores all talents while others wither.”
Voicea said that artificial intelligence professionals will have to choose. Although some will receive the salaries and bureaucracy of the higher Tech in Tech, others will tend to startups, where salaries are lower, but employees have more property and influence.
“In a big company, you are basically a seat in the device, while on startup, you can have a lot of effect. You can have a lot of influence through your work, and you feel this effect,” she said.
Even the price of building artificial intelligence models decreases, it is possible that the high salaries of artificial intelligence talents remain.
“As long as companies should spend billions of dollars to build the model, they will spend tens of millions, or hundreds of millions, to employ engineers to build these models.”
“If the cost of building these models decreases suddenly, the salaries I expect will also decrease.”
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2025-09-06 05:39:00