微软因云业务表现突出而获得市场青睐。Azure本季度增速达43%，下季指引更是达到45%，新增产能上线即被客户吸收[1]。这一业绩表现促使微软股价盘后涨幅达10%[1]。与此同时，微软全年资本开支从1900亿美元调整至1750亿美元，但长期租金承诺则从1970亿美元增至3290亿美元[1]。
相比之下，其他科技巨头虽然同样进行大额AI投资，却未能获得市场认可。Meta本季度收入增长28%，但成本费用增长高达55%，导致营业利润下降8%、每股收益下降13%[1]。该季度Meta资本开支高达311亿美元，自由现金流仅为7.84亿美元[1]。谷歌Cloud收入虽增长82%至248亿美元，但当季资本开支达449亿美元，自由现金流转为负59亿美元[1]。亚马逊AWS的状况更为严峻，过去12个月自由现金流从259亿美元骤降至12亿美元，同期AI设备投入增加593亿美元[1]。
市场现已不再单纯奖励投入规模，而只认可那些能证明AI投资快速转化为收入增长和正现金流的公司[1]。
Microsoft secured an after-hours stock surge of 10% following its earnings announcement, driven by Azure's outperformance and clear monetization of artificial intelligence investments [1]. The cloud division's growth of 43% this quarter exceeded expectations, with management guiding for 45% growth in the coming quarter [1]. Crucially, newly deployed capacity was absorbed by customers immediately upon launch, demonstrating tangible commercial demand [1]. Wall Street's reaction underscores a fundamental shift in how the market evaluates technology spending: investors no longer reward massive capital outlays alone, but rather those demonstrating rapid conversion of investment into revenue and positive cash flow [1].
Microsoft did adjust its full-year capital expenditure downward from $190 billion to $175 billion, though it increased long-term lease commitments from $197 billion to $329 billion [1]. In contrast, competitors investing heavily in AI infrastructure have struggled to demonstrate comparable returns. Meta reported revenue growth of 28% this quarter while operating costs surged 55%, resulting in an 8% decline in operating profit and a 13% drop in earnings per share [1]. The company deployed $31.1 billion in capital expenditures during the quarter against only $784 million in free cash flow [1]. Google Cloud revenues expanded 82% to $24.8 billion, yet the quarter saw $44.9 billion in capital spending and free cash flow swing negative by $5.9 billion [1]. Amazon's AWS division experienced an even steeper deterioration, with free cash flow from the past twelve months plummeting from $25.9 billion to $1.2 billion, as AI equipment investments increased by $59.3 billion year-over-year [1].
