今年市场最显著的现象是债券殖利率上升与股市强劲上涨并存，多头将此归因于人工智慧（AI）投资热潮推动的企业利润飙升与长期经济增长预期。然而，这一观点忽略了信贷市场已显现的压力以及推动热潮背后的融资方式变化，实质殖利率的上升实际上更多是由私营部门借贷意愿的改变所推动。

科技巨头起初利用自身的充裕现金储备资助AI基础设施建设，这使得资本支出不受市场资本成本约束，且未对利率造成即时的上行压力。但随著自由现金流逐渐耗尽，融资模式已转向信贷融资，科技企业对融资成本不敏感的大规模借贷开始推高整体市场的殖利率，进而对其他借款人及政府赤字形成压力。

过去实质殖利率的大幅上升通常会终结风险资产周期，目前股市尚未受挫主因在于前期的独特资助模式，而非企业获利达到了永久性的新高度。随著融资环境转变，市场对AI回报的乐观情绪一旦因产能过剩或高利率冲击而逆转，这场由融资方式驱动的投资繁荣将面临真正的考验。

The most striking market dynamic this year is the simultaneous rise in bond yields and the strong equity rally, which bulls attribute to surging corporate profits and long-term growth expectations from the AI boom. However, this narrative overlooks emerging credit strains and ignores the evolving funding mechanisms, as real yields are primarily driven by shifts in the private sector's desire to borrow rather than sustainable economic growth alone.

Tech hyperscalers initially funded the AI infrastructure boom using massive internal cash reserves, allowing capex decisions to remain insulated from market capital costs without exerting upward pressure on interest rates. However, as free cash flow diminishes, financing has transitioned toward credit markets where price-insensitive tech borrowing is driving up yields across the broader economy and exacerbating debt burdens for governments and other borrowers.

Historically, substantial increases in real yields have ended market cycles by pulling capital away from risk assets, and the current resilience reflects how the boom was initially funded rather than a permanent plateau in profitability. The ongoing market momentum will ultimately face scrutiny if optimism surrounding AI returns reverses due to overcapacity, shrinking margins, or the broader fallout from elevated borrowing costs.