Meta has cut its annual distribution of stock options for most of its staff by about 5 per cent, as CEO Mark Zuckerberg invests billions into the company’s artificial intelligence ambitions. This decision was reported by the Financial Times earlier this week, highlighting the ongoing competition among Big Tech firms in the rapidly evolving AI landscape.
For the second consecutive year, Meta is reducing equity-based awards, a move that has raised eyebrows among employees. Last year, the company shocked its workforce by slashing stock awards by approximately 10 per cent, and many were left wondering about the implications of continued cuts.
Meta’s focus on AI comes at a time when it is also facing significant operational changes. Recently, the company laid off around 10 per cent of its Reality Labs division, which employed about 15,000 people. This restructuring is part of a broader strategy to shift resources away from certain virtual reality projects and towards wearable technology.
As part of its AI strategy, Meta is heavily investing in infrastructure. The company has announced plans for capital expenditure between $115 billion and $135 billion by 2026, indicating a robust commitment to expanding its data centre capabilities. Among these projects is a substantial gigawatt-scale data centre in rural Louisiana, which is expected to cost around $50 billion, as noted by former President Donald Trump.
In addition to these cuts and investments, Meta is striving to cultivate partnerships that can bolster its AI initiatives. Last month, the company appointed Dina Powell McCormick, a former ally of Trump, as president and vice chairman. This move appears aimed at strengthening ties with governments and investors to accelerate the development of AI projects.
With losses exceeding $70 billion since 2021 in its Reality Labs division, Meta is keenly aware of the need to redirect its focus towards more profitable areas. As the company navigates these changes, it remains to be seen how the workforce will adapt to the evolving landscape and what this means for Meta’s long-term objectives in the AI race.
