Source: Fortune.com
Summary
Big tech companies like Amazon, Alphabet, Microsoft, and Meta are expected to spend over $720 billion on AI infrastructure this year, according to analyst estimates. Alphabet plans to spend $195 billion to $205 billion in 2026, more than double its 2025 spending. Alphabet President Ruth Porat said the AI buildout is still in its early stages and expects long-term value. Private credit funds are also fueling the AI boom, with over $200 billion in loans to AI-related companies. Analysts warn of potential capital destruction if cheaper Chinese open-source models disrupt the market.
Our Reading
The numbers tell one story.
Alphabet is spending more on AI than ever, with $195 billion to $205 billion in 2026. Debt is rising, too, with long-term debt up four times from 2025. Private credit is fueling the AI boom, with $200 billion in loans. Chinese open-source models are gaining traction, threatening closed models like Google’s Gemini. Porat says AI will drive long-term value, even as risks grow.
The AI buildout is expensive, but the risk of not investing is even higher.
Author: Evan Null
AI Spending Is Skyrocketing
Big tech companies are pouring billions into AI infrastructure, with over $720 billion in projected capital expenditures this year. Alphabet alone plans to spend $195 billion to $205 billion, more than double its 2025 spending. This spending is driven by the belief that AI will deliver long-term economic value, even as debt and competition rise.
Debt Is Fueling the AI Boom
Private credit funds like Blue Owl, Apollo, and KKR are providing over $200 billion in loans to AI-related companies. These funds are often lending to smaller players rather than major tech firms. Alphabet itself has seen its long-term debt rise to $98 billion, up four times from the previous year.
Chinese Open-Source Models Are a Threat
Open-source models from China are gaining traction, taking business from closed models like those from Anthropic and OpenAI. This shift has led analysts to warn of potential capital destruction in the U.S. AI sector. Some believe cheaper Chinese models could commoditize AI, reducing the value of expensive closed models.
Ruth Porat Defends the AI Investment
Alphabet President Ruth Porat says the AI buildout is still in its early stages and that the long-term economic value is significant. She argues that companies that add differentiated value will continue to find customers. Porat, who has experience with past financial crises, emphasizes the importance of innovation and long-term investment.
The Risk of Not Investing Is Greater
Porat warns that companies that fail to invest in AI risk falling behind. She says the need to adapt is growing, and that AI is not going away. While there are risks of overbuilding, she believes the long-term upside justifies the current spending. The question remains whether the market will support these massive investments.
