Tech giants pay talent millions of dollars
Meta CEO Mark Zuckerberg offered $100 million signing bonuses to top OpenAI employees.
David Paul Morris | Bloomberg | Getty Images
The artificial intelligence arms race is heating up, with tech giants like Meta, Microsoft, and Google competing for top AI researchers to dominate the market.
Meta CEO Mark Zuckerberg recently made expensive hires to boost the company’s AI Superintelligence Labs, including poaching Scale AI co-founder Alexander Wang for a $14 billion investment.
OpenAI’s CEO Sam Altman revealed that Zuckerberg tried to lure top talent with $100 million signing bonuses.
If I’m going to spend a billion dollars to build a [AI] model, $10 million for an engineer is a relatively low investment.
Alexandru Voica
Head of Corporate Affairs and Policy at Synthesia
Google and Microsoft are also actively recruiting top AI talent, leading to a surge in salaries and compensation packages.
According to Alexandru Voica, the demand for AI specialists has skyrocketed, causing wage inflation in the industry.
He described the multi-million dollar compensation packages as unprecedented in the industry.
Building AI models costs billions
The high salaries for AI specialists are justified by the billion-dollar costs of building AI models, such as those used in products like ChatGPT.
Companies like OpenAI, Google, and Meta invest billions in building and training large language models.
According to Voica, the investment in engineers is relatively low compared to the overall cost of building AI models.
For example, OpenAI’s GPT-4 cost $79 million to build in 2023.
Voica explained that companies building products pay to use existing models, while those building models themselves face higher capital expenditures, leading to the surge in salaries.
AI specialists are in demand
The average salary for a machine learning engineer in the U.S. is $175,000 in 2025.
Pixelonestocker | Moment | Getty Images
Machine learning engineers are in high demand, with companies seeking experienced specialists and AI research scientists for their projects.
This demand has led to mega pay packets, with top talent commanding high salaries and compensation packages.
Zuckerberg highlighted the premium placed on top talent in the AI industry.
As you are well aware, there is a limited number of top researchers in high demand by various labs,” Zuckerberg shared with the tech publication.
“The recruitment costs for these individuals are still relatively small compared to the overall investment in super intelligence.”
In the London market, machine learning engineers and principal engineers are currently earning six-figure salaries ranging from £140,000 to £300,000 for more senior roles, on average, estimated Litvinoff.
In the U.S., the average salary for a machine learning engineer is $175,000, reaching nearly $300,000 at the higher end, according to Indeed..
Rise of Tech Giants and Impact on Startups
With tech giants attracting top AI talent with lucrative salaries, startups risk being left behind.
“Startups in the AI space may struggle to compete as building models is costly, and the buyers may not be able to afford these high prices,” Voica pointed out.
Mark Miller, CEO of Insurevision.ai, highlighted in a recent interview with Startups Magazine that this talent war is widening the gap in traditional industries.
“Industries like insurance, healthcare, and logistics cannot match the salaries offered by Big Tech. While they need innovation, accessing top talent is a challenge,” Miller stated. “This situation is unsustainable, with one industry monopolizing talent while others suffer.”
Voica emphasized that AI professionals will need to choose between high salaries and bureaucracy in Big Tech or lower salaries but greater impact in startups.
“In startups, employees have more influence and can make a significant impact through their work,” Voica explained.
Until the cost of building AI models decreases, the demand for AI talent and high salaries are likely to persist.
“As long as companies invest billions in building models, they will continue to spend millions on hiring engineers for this purpose,” Voica added.
“If the cost of building models decreases significantly, we can expect a reduction in salaries as well.”
