Google Cloud CEO Defends Massive AI Investment, Says Company Remains ‘Very Disciplined’ on Capex
Google Cloud Chief Executive Officer Thomas Kurian has defended Alphabet’s aggressive spending on artificial intelligence infrastructure, insisting that the company remains “very disciplined” in its capital expenditure (capex) strategy despite investor concerns over soaring AI-related investments. His remarks come after Alphabet’s latest earnings triggered a sharp decline in its share price, as markets reacted to the company’s significantly higher spending plans.
Kurian said Google Cloud is investing only where customer demand justifies expansion, emphasizing that the company carefully evaluates returns before committing capital. According to him, investments in data centres, AI chips, networking, and cloud infrastructure are being made in response to sustained enterprise demand for AI computing rather than speculative growth. He stressed that Google is focused on balancing long-term innovation with financial discipline.
His comments follow Alphabet’s decision to raise its 2026 capital expenditure forecast to between $195 billion and $205 billion, up from an earlier estimate of $180 billion to $190 billion. The increased spending is aimed primarily at expanding AI infrastructure to support Google’s Gemini models, Google Cloud services, and growing demand from enterprise customers. Company executives have also indicated that infrastructure investment is expected to rise further in 2027 as AI adoption accelerates.
Despite reporting record financial performance in its cloud business, Alphabet faced investor skepticism after posting its first-ever quarterly negative free cash flow since becoming a public company. Heavy investment in AI data centres and computing capacity pushed free cash flow to a deficit, prompting concerns that returns from AI spending may take longer to materialize. Nevertheless, Google Cloud delivered 82% year-on-year revenue growth, while its backlog of contracted business expanded to $514 billion, reflecting strong customer demand for AI infrastructure and cloud services.
Kurian argued that these investments are already translating into tangible business results. He noted that enterprises across industries are rapidly adopting Google’s AI platforms, custom AI chips, and cloud-based machine learning services. The company believes current capacity constraints demonstrate that demand continues to outstrip supply, making additional infrastructure investment both necessary and strategically justified.
While investors remain cautious about the pace of AI spending across the technology sector, Google executives maintain that the company is making measured, demand-driven investments rather than pursuing unchecked expansion. Alphabet says its long-term objective is to build sufficient computing capacity to support the next generation of AI applications while maintaining a strong balance sheet and delivering sustainable value for shareholders.
