Wall Street analysts now project that total capital expenditures (capex) on artificial intelligence by major technology companies could exceed $1 trillion in 2027, following increased spending plans announced during recent quarterly earnings from Alphabet, Amazon, Microsoft, and Meta [1]. Both Evercore and Bank of America have placed 2027 capex estimates above $1 trillion, with 2026 projections rising to between $800 and $900 billion [1]. Jefferies analysts noted that 'cap-ex continues to soar as demand outpaces supply and pricing increases' [1].
This year's spending projections have risen across the board: Alphabet's capex is up 4% to $185 billion, Amazon's up 1% to $200 billion, Meta's up 8% to $135 billion, and Microsoft's up 24% to $190 billion, according to Bank of America [1]. Amazon CEO Andy Jassy expressed confidence in the company's long-term capex investments, projecting $200 billion in buildout for the year [1]. Alphabet's first-quarter cloud revenue surged 63% year-over-year, leading to a roughly 10% jump in its stock, and CFO Anat Ashkenazi stated that capex plans are increasing to meet 'robust demand' [1].
Analysts are observing that the massive AI buildout is translating into revenue growth, with Jefferies highlighting a ~$2 trillion backlog and accelerating cloud growth as evidence of return on investment, despite the rising capex [1]. Margin leverage remains for the hyperscalers, indicating structural operating expense discipline [1]. BMO Capital Markets' Brian Pitz noted that Google's backlog nearly doubled quarter-over-quarter, with a 400% annual increase to $462 billion, primarily driven by core Google Cloud Platform contracts [1].
While tech CEOs are projecting confidence in their AI investments and the monetization potential, the scale of spending is generating some skepticism among investors [1]. However, the flowthrough from investments to revenue, as seen in surging valuations and market caps, is supporting the ongoing capex super-cycle [1]. The buildout is also seen as positive news for chipmakers and infrastructure builders [1].
CONCLUSION
Wall Street analysts anticipate that Big Tech's AI capital expenditures will surpass $1 trillion by 2027, with current investments already fueling significant revenue and backlog growth. Despite some investor skepticism over the scale of spending, the market reaction has been positive, particularly for companies like Alphabet. The ongoing capex surge is expected to benefit not only the hyperscalers but also chipmakers and infrastructure providers.