AI borrowing is pushing rates up because hyperscalers will pay any price for money, so rates must keep rising until they hurt price-sensitive borrowers. Amazon, Alphabet, Meta and Oracle sold about $194 billion of bonds by early July, 79% more than in all of 2025, and the 10-year yield touched 5.33%, the highest since 2002. Julien Garran warns a downturn may not lower long yields much, with big deficits everywhere while Japan and China step back from Treasuries. x.com 

Treasuries are losing their risk-free appeal as inflation runs hot and US government credibility erodes. If the 10-year projects inflation to surge, bonds that barely beat it make little sense, and Fed hikes won't slow a hot economy or fix an energy supply shock with oil at $100. Higher borrowing costs make the growing debt harder to finance, leading to money printing and more inflation. Big tech is more creditworthy than ever; even for fixed income, Alphabet's corporate debt is preferable. … Show more

Treasuries offer diversification from AI risk because a tech decline would drag credit-sensitive bonds down with it. Stick to Treasuries rather than credit for that hedge. x.com 

Long-dated Treasury yields need to stay high because megacap tech companies now compete for bond buyers. Oracle bonds yield over 8%, Meta's over 7%, and Google sold a 10x-oversubscribed 100-year sterling bond above 6%, while hyperscaler issuance is surging from $35B toward $200B. Megacaps are becoming as creditworthy as governments, making this a new paradigm of persistent competition, and Warsh appears to agree hyperscaler debt plays a role. x.com  x.com  x.com  x.com  x.com  x.com  x.com  x.com 

Long-dated Treasuries remain under pressure from historic AI borrowing and hot price gauges, even as the long end eases from 2002 highs. The AI sector has raised about $500 billion of debt in nine months, a quarter of all corporate issuance, and Goldman Sachs sees $1.2 trillion in 2027. Monday's ISM services prices-paid gauge hit its highest in over four years, and a December Fed hike is still largely priced. The 10-year back above 5.35% would end the relief; Brent under $97 would extend it. … Show more

Potential spending cuts and AI-related deflation make long-dated US Treasuries an asymmetric opportunity. A Democratic sweep could cut spending; an AI-trade blowup could cause deflation, while the AI trade hurts employment. Ending the Iran war could reduce spending and oil prices. Further crude gains could damage the economy hard and quickly enough to outweigh the inflation threat. x.com  x.com 

Expensive borrowing makes debt-funded AI projects harder to justify, pressuring AI stocks and the S&P 500. Inflation keeps pressure on rates. If Republicans lose Congress after the midterms, Trump could rely on executive action to speed permits, power projects and existing funding programs, keeping AI investment moving despite expensive money. Tech and risk assets could catch a bid if earnings hold and bond yields settle; Fed cuts remain uncertain. x.com 

Long-term Treasury yields keep climbing because investors increasingly doubt America enough to lend to it for 30 years, and nobody can force them to lend cheap. US debt is $40 trillion, interest costs over $1 trillion a year, more than the military, and the deficit is 6% of GDP during a boom. Treasury Secretary Scott Bessent's $4 billion buybacks are fake demand that fixes none of the overspending, a point Stanley Druckenmiller made in his op-ed "Let the Bond Market Speak." x.com  x.com  x.com  … Show more

Long-dated Treasuries could benefit from less issuance of AI-related debt, which today's news may point to, even if the deal itself is minor. Separately, a free Meta Muse hurts the leading AI models at least at the fringe, and wide consumer adoption of AI agents will come when Apple launches its own or partners with a model maker. x.com 

Long-dated US Treasuries could lose buyers to the AI buildout, pushing yields and government funding costs higher. Microsoft, Google and Amazon offer debt at a spread over Treasuries while generating over $100 billion a year in cash flow and 30%+ returns on capital, a better deal than lending to the government at 4.5%. Beyond about $725 billion of hyperscaler capex, debt for fabs, memory, power and the grid is about $3-5 trillion through 2030, comparable to Treasury issuance over that period. … Show more