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Crosscurrents in Markets: Bond Risks, Office Recovery, and the AI Spending Question

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A Warning From the Top of Wall Street

The chief executive of JP Morgan is sounding an alarm about the bond market. His thesis is that a dangerous mix of pressures — surging global debt levels, widening government deficits, geopolitical tensions, rising oil prices, and elevated interest rates — could collide and trigger a disorderly sell-off in bonds. The exact timing of any rupture remains unclear, but the steady accumulation of risk across the financial system makes some form of crisis increasingly likely.

This is not, however, a call to abandon ship. The U.S. economy still looks resilient, and that resilience is part of why investors have remained engaged. Still, the warning matters: if these pressures reinforce one another, volatility will follow, and investors who have been complacent about duration risk could find themselves caught off guard. The takeaway is to prepare for the scenario rather than dismiss it.

Office Real Estate: Stabilization Without Uniformity

Beneath the macro headlines, the office market is showing the clearest signs of recovery since the pandemic began. New in-person and virtual office tours hit their highest level in years during the first quarter, with the VTS Office Demand Index rising 18% from the fourth quarter of 2025 and up 13% from a year earlier.

The recovery, though, is anything but uniform. San Francisco and New York City are leading the charge, while Boston ranks as the worst-performing market in the report. The pattern within markets is just as telling: new leasing activity is flowing into higher-quality, better-amenitized buildings, while older office stock continues to languish with elevated vacancies. Companies are not simply returning to the space they once held — they are reassessing how much space they actually need and where they want it. The bifurcation between trophy buildings and aging inventory looks set to persist, and the gap between the winners and losers in commercial real estate may widen further before it narrows.

AI Spending Under the Microscope

Few questions matter more for equity markets right now than whether the staggering capital expenditures dedicated to AI infrastructure will translate into real demand and revenue. A recent report on OpenAI has rekindled exactly that anxiety, and the timing — landing just before some of the largest technology companies report earnings — has amplified its impact.

The question being whispered across trading desks is whether AI compute demand is as robust as the spending implies. If the perception forms that demand is softening, then how much capital expenditure investors will tolerate becomes the central debate. Alternatively, the OpenAI story could prove idiosyncratic: rivals like Gemini and Claude are clearly competing hard, and the issue could be one company losing share rather than a sector-wide demand problem. Either reading has very different implications for the trillions of dollars now riding on the AI buildout.

Meta and the Manus Unwind

Geopolitics is also reshaping the AI deal landscape. Meta is reportedly preparing to unwind its $2.5 billion acquisition of the AI startup Manus after Chinese authorities blocked the deal on national security grounds. Beijing has set a preliminary deadline of several weeks for the unwinding to occur.

The unwinding will be operationally complicated. Meta has already integrated the technology into its systems, which means disentangling it is not a simple administrative exercise. The picture is further muddied by the fact that Manus's investors have already received their returns, raising the question of how the financial reversal will actually be executed. Whether Meta addresses the matter directly on its earnings call is itself a story worth watching, because the episode underscores how cross-border AI deals are becoming a geopolitical battleground rather than a pure commercial calculation.

A Big Week for Megacap Earnings

Microsoft, Meta, Amazon, and Alphabet all report after the close in a single afternoon, creating one of the highest-stakes earnings events of the year. The dominant question is whether there will be meaningful evidence of AI monetization — not just spending, but revenue traction that justifies it.

The bar this season is unusually high. The pattern of recent quarters has been brutal: even strong results have sometimes failed to spark a rally, and only beat-and-raise prints have been rewarded with a meaningful pop in the stock. Sometimes "great" simply has not been good enough. If these companies fail to deliver convincingly, weakness could continue in the megacap names following the pattern of the prior two earnings seasons. Conversely, a strong showing could reignite the AI and tech trade after the slippage seen in recent sessions. Watching the reactions may matter as much as watching the numbers themselves, because there have been more than a few head-scratching responses to recent megacap reports.

The Fed's Pivotal Moment

The other major catalyst is the FOMC meeting. The decision itself is largely baked in, so the focus shifts to the press conference and the guidance — particularly because there are no new projections this time, leaving language as the only real signal.

There is also a deeply personal subtext. This may well be the current Fed chair's final meeting in that role. Will he deliver his own personal view, or stick to a careful consensus message? Will he stay on the board, or step away entirely? With the prior investigation now dropped, the path has been cleared for a confirmation of his expected successor, and markets are watching the transition closely. The combination of policy guidance with the uncertainty around leadership succession ensures that this meeting will carry weight beyond the usual rate-setting calculus.

Drawing the Threads Together

What unites these threads is the sense of a market sitting at a series of inflection points at once. Sovereign debt dynamics are quietly compounding under the surface. Office real estate is healing, but only for the right buildings in the right cities. AI capital expenditures are bumping up against the question of whether revenue can catch up with ambition. Cross-border deal-making in technology is being reshaped by national security politics. And the institution most responsible for setting the cost of capital is preparing for a leadership transition. None of these stories sit neatly in isolation; together they describe a financial environment in which the most important moves may come not from any single catalyst but from the way these pressures interact.

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