The accelerating bond selloff underscores a tightening rates-tech feedback loop where elevated Treasury yields compress valuations in high-growth AI equities, yet this dynamic extends beyond market mechanics into central bank policy calibration and geopolitical technology competition. While the Bloomberg report notes investor acknowledgment of rising yields as a risk factor, it underplays how Federal Reserve communications on persistent inflation have anchored long-term rates higher, directly challenging the discounted cash flow assumptions underpinning AI infrastructure bets by firms like NVIDIA and Microsoft. Primary documents such as the FOMC's May 2026 minutes reveal internal divisions on balance sheet runoff pace, a factor the original coverage overlooks in favor of short-term sentiment. Multiple perspectives emerge: monetary policymakers prioritize inflation targets over asset price stability, while tech executives argue that AI productivity gains justify stretched multiples; simultaneously, export control regimes documented in Commerce Department updates constrain chip supply chains, amplifying valuation sensitivity to domestic funding costs. This synthesis highlights missed interconnections between U.S. rate policy, semiconductor export restrictions to China, and corporate capex cycles that could redirect investment toward more resilient sectors if yields remain above 4.5 percent.