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SKN | Citigroup Raises Global AI Capex and Revenue Forecasts on Strong Enterprise Adoption

Tech

SKN | Citigroup Raises Global AI Capex and Revenue Forecasts on Strong Enterprise Adoption

By Or Sushan

March 11, 2026

Key Points

  • Citigroup raised its global artificial intelligence capital expenditure forecast for 2026–2030 to $8.9 trillion.
  • The bank increased its AI revenue forecast for the same period to $3.3 trillion as enterprise adoption accelerates.
  • Major hyperscale technology firms are expected to drive significant investment in AI infrastructure and data centers.

Citigroup has raised its global artificial intelligence capital expenditure forecast for the period between 2026 and 2030, citing stronger-than-expected enterprise demand for AI technologies and rapidly expanding applications across industries.

The bank now expects global AI capital expenditures to reach approximately $8.9 trillion over the five-year period, up from its previous estimate of $8 trillion. The upward revision reflects accelerating investment in computing infrastructure, software development, and enterprise AI deployment.

Enterprise Demand Driving AI Expansion

Citigroup noted that artificial intelligence tools are evolving rapidly and are unlocking new enterprise use cases. These developments are expected to accelerate adoption of advanced AI systems, including agentic platforms capable of automating complex workflows and decision-making processes.

As companies integrate AI across business operations, industries ranging from finance and healthcare to manufacturing and logistics are increasingly adopting AI-driven productivity tools and automation systems.

Hyperscalers Leading Infrastructure Spending

The bank highlighted that the largest technology companies are expected to remain the primary drivers of AI infrastructure investment. Major hyperscalers such as Amazon, Microsoft, Alphabet, and Meta Platforms are projected to collectively spend more than $630 billion in capital expenditures this year.

These investments are primarily directed toward expanding global data center capacity, developing specialized AI chips, and strengthening cloud infrastructure capable of supporting large-scale AI workloads.

AI Revenue Forecast Also Raised

Citigroup also increased its forecast for global AI revenue between 2026 and 2030, raising its estimate to $3.3 trillion, up from the prior projection of $2.8 trillion.

The bank pointed to rapid revenue growth among leading AI developers as evidence of accelerating market expansion. Anthropic has projected annualized revenue of up to $26 billion by 2026, while OpenAI recently reported surpassing a $25 billion annualized revenue run rate, up from $21.4 billion recorded at the end of the previous year.

Market Opportunities Despite Tech Volatility

Citigroup believes that recent underperformance among major technology stocks may present potential investment opportunities. The bank noted that markets have recently focused on concerns surrounding the cost of building global data center infrastructure, rising financing requirements, and intensifying competition among AI developers.

However, Citi analysts argue that investors may be overlooking the potential long-term returns from AI investments, particularly as early signs of enterprise-driven productivity gains begin to emerge.

Outlook

Citigroup expects artificial intelligence to remain one of the most significant drivers of technology investment over the coming decade. As enterprise adoption continues to accelerate and infrastructure spending expands, the AI ecosystem may experience sustained growth across hardware, software, and cloud services.

The bank believes the next phase of AI development will likely be shaped by enterprise applications that improve productivity, automate complex tasks, and transform operational efficiency across industries.

 

For confidential inquiries, partnership opportunities, or further insights regarding artificial intelligence investment trends, enterprise technology adoption, and strategic positioning within the global AI ecosystem, interested parties are encouraged to contact our team directly for professional engagement.

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