Two earnings reports. Two very different stories about where the AI money is actually going.
Alphabet reported Q2 2026 revenue of $119.8B, a 24% jump year-over-year. IBM reported revenue of roughly $17.2B for the same quarter, up just 1% from a year ago.
Google Cloud is eating enterprise budgets
The number that stands out in Alphabet’s report is Google Cloud, which grew 82% year-over-year to approximately $24.8B in Q2 2026.
To put that in context: Google Cloud alone generated more quarterly revenue than IBM’s entire global business.
Alphabet’s cumulative capital expenditure forecast now exceeds $200B, reflecting how aggressively the company is betting on AI infrastructure capacity.
IBM’s quarter tells a more complicated story
IBM’s software segment grew 5% in Q2 2026. The problem is the infrastructure segment, which declined 7%. That decline reflects a broader corporate budgeting shift: enterprise IT departments are pulling spending away from legacy hardware and on-premises systems and redirecting it toward cloud-based AI services.
CEO Arvind Krishna pointed to quantum computing as a longer-horizon growth driver during the earnings period, with IBM anticipating revenue contributions from quantum by 2028 to 2029.
What this means for investors watching the AI trade
Quantum computing, which IBM is actively developing, carries long-term implications for cryptographic security. The encryption standards that currently protect Bitcoin wallets, blockchain transactions, and decentralized protocol communications are theoretically vulnerable to sufficiently powerful quantum machines. IBM’s 2028-2029 revenue timeline for quantum does not suggest an imminent threat to crypto infrastructure.
When hyperscalers like Alphabet commit to multi-hundred-billion-dollar capex programs, they compete with crypto miners for power infrastructure, specialized chips, and real estate near energy sources.
Google Cloud growing 82% in a single quarter means enterprise adoption of cloud AI services is accelerating, not plateauing. IBM’s results suggest that companies exposed primarily to legacy enterprise IT spend may face continued pressure as the budget migration to cloud continues.