In the face of the increasing competition for AI, Microsoft is competing through high-paying strategies, targeting top AI engineers and researchers in Meta. On the basis of internal documents obtained by Business Insight, Microsoft has developed a “most-wanted-deep” list of Meta AI talent and introduced a new, highly competitive recruitment process to ensure that key talent is quickly targeted.
The internal Microsoft document details the key AI teams of Meta, including Reality Labs, GenAI Infrastructure and Meta AI Research, to name, location and position of the employee. Microsoft’s recruitment team uses the “most-wanted-deep” list to precisely target candidates marked as “key AI talent”.
Microsoft provides highly competitive remuneration packages for top AI talent, including: a base salary of more than $408,000 per annum (approximately RMB 2.9 million); an entry equity incentive of nearly $1.9 million (approximately RMB 13.5 million); an annual equity incentive of about $1.5 million (approximately RMB 10.65 million); and a cash bonus of up to 90 per cent of the base salary.
In a highly competitive situation, Microsoft could provide a higher remuneration for exceptionally good candidates, even as opposed to a super-paybag of $250 million (approximately RMB 1.78 billion).
Microsoft introduced a fast-track recruitment mechanism, allowing recruiters to mark candidates as “key AI talent”, triggering executives to give the highest pay offer within 24 hours. Individualized pay ranges for candidates were also tailored to the recommendations of the pay consultants, using an exclusive “pay modeler” tool.
The recruitment exercise was led by two major departments in Microsoft. Microsoft AI is led by Mustafa Suleyman, former co-founder of Google DeepMind, and focuses on the development of core AI products, such as Copilot; CoreAI is run by Jay Parikh, former head of Meta Engineering, with several former Meta executives in its team, showing the depth of Microsoft’s penetration of Meta talent.
Microsoft ‘ s AI strategy is closely linked to its cooperation with OpenAI, but internal documents indicate that Microsoft concerns that it may cut access to its future model if it announces that it has reached a universal artificial intelligence milestone. As a result, Microsoft accelerates the building of in-house AI R & D capacity and reduces reliance on external cooperation.
Meta also paid dearly in the battle for talent in AI. Meta reportedly provided up to $250 million in remuneration packages for some AI researchers and even $100 million in signature fees for OpenAI engineers. CEO Mark Zuckerberg of Meta personally promoted his “super-smart” team, and recently one of Openai’s ChatGPT core developers was a leading scientist in Meta Superintelligence Labs.
According to Dan Ives, Wedbush analysts, technological giants such as Microsoft, Meta and Alphabet are expected to invest $240 billion in AI infrastructure in 2025-2026, highlighting the critical role of AI talent for the future of the industry. In July, Microsoft reported revenues of $7,644 million in the fourth quarter (a 17 per cent increase over the same period) and for Meta in the second quarter of $47,522 million, both of which exceeded market expectations, indicating the significant investment capacity of both sides in the AI area.
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