Google DeepMind Experiences Significant Increase in Staff Expenses Amid AI Growth
According to recent reports, DeepMind, the artificial intelligence lab owned by Alphabet, has witnessed a substantial rise in staff expenditures that contributed to an overall increase in administrative costs. Last year, total spending escalated by £350 million, bringing the total to £1.4 billion.
This marks a significant shift from 2022 when the lab reduced employee costs by 39% following a 40% drop in profits, reflecting a wider trend of workforce reductions in the tech sector after the surge experienced during the pandemic.
Last year, staff-related costs grew by £231 million, reaching £826 million. Despite this rise, these costs remain below the 2021 figure of £969 million.
A representative from Google DeepMind commented on the company’s staff count, stating that it does not disclose this information, thus making it challenging to accurately determine average employee salaries based on available figures.
In contrast to rising costs, the company’s revenues soared, with sales increasing by £450 million to exceed £1.5 billion as detailed in the latest accounts filed with Companies House for the year ending December 2023.
DeepMind’s pre-tax profits surged to £148.4 million, a notable rise from £72.8 million in 2022. The company also declared a dividend of £175 million, reversing a decision from the previous year when no dividends were distributed. Additionally, taxes paid rose to £35 million from £12 million the year prior.
Founded in 2010 by Sir Demis Hassabis, Shane Legg, and Mustafa Suleyman, DeepMind generates revenue by developing advanced AI solutions and conducting research for both Alphabet and external partners.
Google acquired DeepMind in 2014 for £400 million. The laboratory has achieved numerous AI milestones, including advancements through its AlphaFold project, which models protein behavior, showcasing potential benefits in areas like antibiotic development, cancer treatment, and materials science.
DeepMind is also known for AlphaGo, the first AI to defeat a world champion in the ancient game of Go, and is now working on AI-powered robotic hands capable of performing tasks like tying shoelaces and hanging shirts, mimicking human hand usage.
The Gemini platform, Alphabet’s large language model, utilizes foundational techniques developed from AlphaGo.
DeepMind strives to advance AI in a responsible manner that enhances lives worldwide, as highlighted in its mission statement.
Amidst a competitive race for innovative AI developments, government entities are focusing on ensuring responsible technology usage. The UK Labour government has signaled plans to legislate advanced AI models, whereas the European Union has already enacted the AI Act.
In this recent report, DeepMind expressed concerns that changing regulations might impact its revenue due to the associated compliance costs. Additionally, the company recognized that building AI systems is part of a rapidly evolving market characterized by fierce competition.
During the recent Times Tech Summit, Sir Demis Hassabis highlighted the potential of AI technology and anticipated the emergence of artificial intelligence exhibiting general cognitive abilities within the next decade.
Hassabis further articulated the ambition to create a general AI system capable of performing any task that necessitates human cognitive function.
Last year, DeepMind donated £14.4 million towards academic initiatives and sponsorships, an increase from £9.9 million in the previous year, according to the financial documents.
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