Fortune · 24 Sep, 08:34 · Business briefing

Meta plans to spend $145 billion this year, more than every military budget except the U.S., China and Russia

Meta intends to allocate $145 billion towards capital expenditures this year, a figure exceeding the military budgets of all nations except the United States, China, and Russia.

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The briefing

The story
in brief.

What happened, who it affects, and why it landed on our intelligence desk — in plain English, sixty seconds or less.

Meta intends to allocate $145 billion towards capital expenditures this year, a figure exceeding the military budgets of all nations except the United States, China, and Russia. This massive global powers. This unprecedented investment underscores the tech giant’s aggressive commitment to artificial intelligence infrastructure and advanced computing capabilities. For professionals, this signals a significant shift in corporate prioritisation, moving beyond standard operational costs to foundational technological expansion. The scale suggests that AI integration is no longer an experimental phase but a core strategic imperative for major technology firms, requiring substantial financial backing to maintain competitive advantage in the global digital landscape.

Employer demand for AI Strategy skills — indexed growth since 2019
Indicative index of skill mentions in professional job postings for the field this story moves (2019 = 1)

Your move

What this means
for your career.

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This massive expenditure signals that AI infrastructure is now a primary driver of corporate value. You must recognise that technical proficiency in AI and data systems is becoming essential, even for non-technical roles. Professionals in engineering, data science, and strategic management should prioritise upskilling in scalable AI architectures and cloud computing. If you work in adjacent sectors, understand how these technologies reshape operational efficiency. Do not wait for your organisation to lead this change; proactively develop competencies in AI strategy and sustainable computing. Review your current skill set against emerging demands in high-performance computing. Identify gaps in your understanding of machine learning applications and address them immediately through targeted learning. Position yourself as someone who can bridge technical capabilities with business objectives, ensuring you remain relevant as industries rapidly adopt these transformative tools.

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Indicative salary uplift in the fields matched to this story
Indicative ranges from published continuing-education salary studies, by field — each field is a recommended course below

Matched to this story

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