Is AI Investment Draining Free Cash Flow? Moody's Warns: Tech Giants Enter 'Capital-Intensive Era,' Credit Quality at Risk

International credit rating agency Moody's (MCO-US) issued a report this week warning that the artificial intelligence (AI) investment surge is undermining credit quality and pushing tech giants into a 'capital-intensive era.' The agency stated that global tech giants are spending nearly a trillion dollars annually to build computing infrastructure in their race for AI dominance, a frenzy that is gradually draining the free cash flow of 'hyperscale cloud providers' and increasing risks on their balance sheets.

Moody's specifically named six companies in its report: Microsoft (MSFT-US), Amazon (AMZN-US), Google's parent Alphabet (GOOGL-US), Meta (META-US), Oracle (ORCL-US), and cloud computing upstart CoreWeave (CRWV-US), stating that this AI investment boom is forcing these cash-rich firms to take on significant debt, issue stock, and even use off-balance-sheet financing to fund their massive expansion plans.

For decades, Silicon Valley's tech industry maintained remarkable profit margins and stable financials thanks to software, intellectual property, and scalable cloud services—business models with almost no incremental replication costs, known as the 'asset-light' model.

However, the rise of generative AI has rewritten this playbook. Training and running large language models require power-hungry, expensive servers and AI chips, along with physical data centers to support them.

The report states, 'In the past, these companies relied primarily on an asset-light model centered on software, intellectual property, and scalable cloud services, requiring relatively limited capital investment. Today, the shift from asset-light to asset-heavy models demands an unprecedented scale of investment and financing needs.'

Moody's estimates that the combined capital expenditures of these six firms will reach $785 billion this year and could exceed $1 trillion next year.

Currently, the total debt directly held by these companies amounts to approximately $460 billion. At the same time, capital market fundraising activities are becoming increasingly frequent—Alphabet recently announced a stock issuance plan of up to $85 billion, marking the latest example.

Moody's points out that AI infrastructure requires massive upfront investment, while related revenues take time to materialize, putting continuous pressure on the industry's free cash flow.

To prevent their balance sheet debt from ballooning, tech giants are increasingly relying on long-term data center leasing agreements as a form of 'off-balance-sheet financing.'

Moody's statistics show that the cumulative data center leasing commitments of these six companies have surged to $1.2 trillion, with over $820 billion worth of facilities still under construction and not yet operational.

While these leases do not appear directly on the balance sheet like traditional loans, Moody's argues their nature is no different from debt, as they will force companies to bear substantial rental payment obligations over the long term—effectively an 'invisible liability.'

However, Moody's emphasizes that Microsoft, Alphabet, Amazon, and Meta still possess some of the most robust corporate financial structures globally, and their investment-grade ratings are unlikely to face significant near-term impact.

The companies under real pressure are Oracle and CoreWeave, whose ratings were already low. Oracle currently holds a Baa2 rating with a negative outlook, just one step away from 'junk' status; CoreWeave belongs to the high-yield bond market with a Ba3 rating, heavily reliant on complex private debt to acquire GPU equipment.

Another notable observation in the report is that the AI industry is gradually forming a self-reinforcing 'circular ecosystem.'

A significant portion of the massive order backlogs held by major cloud providers comes from unlisted AI startups such as OpenAI and Anthropic.

Ironically, these tech giants themselves are major investors in these AI startups. After pouring money into these ventures, the startups then spend much of their raised capital purchasing cloud computing services from their investors, creating a circular flow of funds within a tight-knit circle.

Moody's believes this complex web of cross-relationships amplifies overall industry risk. An increasing number of tech giants' revenue lifelines depend on a small group of AI customers, and the entire business logic rests on the unproven shared assumption that 'AI demand will continue to grow rapidly.'

Despite this, Moody's does not offer a completely bearish outlook. The report notes that AI computing demand remains strong, cloud businesses continue to grow, and long-term customer contracts worth hundreds of billions of dollars provide relatively high revenue predictability—conditions sufficient to support the industry's overall credit strength.

Moody's concludes by reminding investors that the tech industry's financial structure is undergoing its most fundamental transformation since the advent of cloud computing: 'Going forward, market focus will gradually shift from 'how much money was spent' to 'how much tangible return such massive capital investment will actually generate.'