Skip to main content

The U.S. Neutral Rate Is High and Nobody Can Prove It Will Fall

The U.S. Neutral Rate Is High and Nobody Can Prove It Will Fall

The U.S. Neutral Rate Is High and Nobody Can Prove It Will Fall

The Rate Nobody Can See

The neutral rate does not exist in the way a mortgage rate exists. You cannot look it up. You cannot call a bank and ask for today's r-star. Economists define it as the interest rate that keeps the economy at full employment while holding inflation steady around the Fed's 2% target. When policy sits at that level, it neither presses the gas nor pumps the brakes. That is the theory.

The practice is messier.

The neutral rate moves. It shifts with productivity growth, demographic trends, global capital flows, and the mood of investors who decide where to park their money. It is inferred, not observed. Every estimate carries a confidence interval wide enough to drive a truck through. And right now, those estimates are drifting upward.

The Federal Reserve's median neutral-rate estimate climbed to 3.25% in its latest projections, up from 3.1% — a jump Goldman Sachs called unexpectedly large. The European Central Bank and the Bank of Japan have seen similar upward revisions. This is not a U.S. phenomenon. It is a global recalibration of what "normal" interest rates look like.

But here is the thing. A higher neutral rate does not mean the economy is booming. It means the bar for restrictive policy has moved. The Fed's current target range sits at 3.50% to 3.75%, roughly half a percentage point above the long-run neutral estimate. On paper, that makes policy restrictive. But if the neutral rate keeps climbing, that gap shrinks. The same rate that looked tight six months ago starts to look neutral. Nothing changed except the estimate of an invisible number.

This is where the story gets interesting.

Two Forces Pulling in Opposite Directions

The neutral rate's future depends on two competing pressures. One comes from energy. The other comes from employment. They are pulling in opposite directions, and the net effect is a rate that stays higher than anyone would like.

Energy Keeps Inflation Sticky

Saudi Aramco's CEO issued a warning at the Energy Intelligence Forum in London that deserves more attention than it received. Global commercial inventories have fallen from roughly 10 billion barrels before the crisis to under 6 billion. Of that remaining stock, less than 10% is actually usable. He called it "frighteningly thin".

Rebuilding those inventories could take two years even if the Strait of Hormuz fully reopens and confidence returns. To meet daily demand while restocking, the world would need an additional 2 million barrels per day for the next 18 months.

For the United States, the transmission channel runs through refined products. Middle Eastern refineries have been damaged. Fuel prices are rising faster than crude. Chinese refiners have paused product exports to protect domestic supply. The crack spreads on diesel and gasoline sit at elevated levels.

Gasoline and diesel are among the most sensitive components of the U.S. CPI. Every cent they rise travels through logistics, transportation, and household budgets. Energy has installed a spring under inflation that makes downward movement slow and upward movement sharp. Thinner inventories mean any new disruption gets amplified into a steeper price spike. The disinflation process gets delayed again.

This is not a forecast. It is a structural condition. And it pushes the neutral rate higher.

Employment Cools from the Inside

The labor market tells a different story. The national unemployment rate has stayed at or below 4.5% for nearly five years — one of the longest stretches of low unemployment in modern history. The demand base is still there.

But look underneath the average.

Research from the St. Louis Fed shows that peak labor demand occurred in April 2023. Since then, many regions have cooled noticeably. The national average dilutes that cooling. It hides it.

The most telling signal is structural. Regions hit harder by the pandemic have seen weaker recovery among younger workers. Even in markets where long-term unemployment sat below 3% — extremely tight by any standard — young workers did not build enough advantage to protect themselves in a slowdown.

The labor market is transitioning from very tight to neutral-leaning-loose. The first to feel the chill are the least experienced and least skilled. Their vulnerability is the yellow light that comes on before the broader warning.

If employment cools gently, the Fed gets room to watch and wait. If it cools systematically, the drag on wages and demand collides head-on with energy-driven inflation. That collision would be ugly for everyone.

The Models Do Not Agree

You would think that with so much riding on the neutral rate, economists would have nailed it down. They have not. They have done the opposite. They have produced estimates that span a range wide enough to support completely opposite policy conclusions.

The Fed's Long-Run Estimate

Most Fed officials place the long-run neutral rate between 2.5% and 3% in real terms, or roughly 4.5% to 5% when adjusted for inflation. This is the number embedded in the Fed's Summary of Economic Projections. It is the anchor for the dot plot.

The current federal funds rate target sits at 3.50% to 3.75%. Against a 4.5% to 5% neutral estimate, policy looks accommodative, not restrictive. The Fed may not have tightened enough.

The San Francisco Fed's Medium-Term Estimate

Vasco Cúrdia, a research advisor at the San Francisco Fed, published a paper in August 2026 proposing a medium-term neutral-rate metric. His estimate: roughly 1.5% in real terms.

Against that number, the current policy rate is half to three-quarters of a percentage point below neutral. Policy is accommodative. The Fed has more work to do.

Same economy. Same data. Opposite readings.

Why the Gap Matters

The true r-star decides whether the Fed is squeezing the economy or merely steadying it. It decides whether the next move is a cut or a hike. But the estimates are so far apart that the number functions like a Rorschach test. A hawk who wants tighter policy cites a low r-star, which makes today's rate look restrictive. A dove who wants relief cites a high one, which makes the same rate look neutral.

Austan Goolsbee, president of the Chicago Fed and the committee's most consistent dove, told investors in September 2026 to stop leaning on neutral-rate estimates altogether. Coming from a man who months earlier called a 3% policy rate a "loose" estimate of that very number, the remark landed hard.

His point is simple: nobody can actually see this rate. Policy should be set by watching inflation and labor markets, not by trusting models that disagree wildly.

What Policymakers Actually Say

Fed Chairman Kevin Warsh has said the neutral rate is useful academically but not relevant to his decision-making. He frames recent rate increases as "removing a dose of accommodation," implying the rate had been below neutral all along. The Fed's estimate charted above implies a nominal neutral rate of over 4%, affirming an outlook of at least one more hike in store.

Governor Stephen Miran sits at the other end. He told Fox Business Network in January 2026 that the FOMC will need to cut rates by more than a percentage point this year. "I think it's very difficult to argue that policy is about neutral," he said. "I think policy is clearly restrictive and holding the economy back".

Two Fed officials. Two completely opposite readings of the same policy rate. One says more hikes. One says deep cuts. Both cite the neutral rate.

This is not a failure of intelligence. It is a feature of the problem. The neutral rate is a theoretical construct dressed up as a policy guide. It works fine in textbooks. In the real world, it wobbles.

What This Means for Borrowers, Bonds, and the Broader Economy

For anyone with a mortgage, a business loan, or a bond portfolio, the neutral rate is not an abstraction. It is the gravitational pull on every borrowing cost in the economy.

If the neutral rate is structurally higher — driven by AI infrastructure investment, government deficits, and the demand for capital that comes with both — then interest rates settle at higher levels than the pre-pandemic decade trained everyone to expect.

The 2010s were an anomaly. Abundant global savings, weak productivity growth, and insatiable demand for safe assets held neutral rates down. Money was cheap because capital had nowhere urgent to go. That era is over. Businesses are investing heavily in data centers, software, semiconductors, and power infrastructure. Stronger expected productivity growth raises the return on investment and increases demand for capital. Government deficits add another layer of demand. Investors need extra compensation to hold more government securities. The risk-free benchmark rises, pulling other yields with it.

A higher r-star means the Fed has less room to cut before policy becomes stimulative again. It means long-term Treasury yields stay elevated. It means mortgage rates do not fall as far or as fast as homeowners hope. It means the cost of capital for businesses stays higher for longer.

The IMF projects U.S. GDP growth at 2.4% in 2026 and unemployment near 4%. Inflation is expected to return to 2% by early 2027. Those are solid numbers. They do not scream crisis. But they also do not scream rate cuts.

The Quiet Standoff

The neutral rate will not announce itself. It will not send a press release. It will simply sit there, invisible and influential, while policymakers argue about a number none of them can prove.

Energy prices keep inflation from falling cleanly. A cooling labor market keeps demand from overheating. The two forces cancel each other out, leaving the policy rate perched on a platform that feels neither high nor low — just stuck.

The Fed's long-run estimate says one thing. The San Francisco Fed's medium-term estimate says another. Goolsbee says ignore them both. Warsh says watch the data. Miran says cut now.

Nobody is wrong. That is the problem.

The U.S. neutral rate may linger at high levels not because the economy is strong, but because the forces shaping it are pulling too evenly for it to move. Inflation resists gravity. Employment loses altitude slowly. The result is a rate that stays up because nothing is strong enough to pull it down.

You will not see it coming. You will just notice that borrowing costs did not fall as much as you expected, and that the Fed's next move feels less like a decision and more like a guess.

Comments

Popular posts from this blog

Trump’s Palantir Trade & Truth Social Post: What the Records Show for Investors (And Why It Matters)

Trump’s Palantir Trade & Truth Social Post: What the Records Show for Investors (And Why It Matters) You saw the headline, something about Trump buying Palantir stock, then hyping it up on Truth Social, and you had a feeling. That gut-level “wait, what?” moment. Because we’ve been here before. A politician. A stock. A social media post. And the inevitable question: was it coincidence or something more deliberate? I’ve spent the last few days pulling every thread on this story. Government filings. Stock charts. Analyst reports. And yeah… those Truth Social screenshots. What I found surprised me. We’ll walk through everything together. What actually happened, when it happened, and (most importantly) what it might mean for you as an investor, or just as a citizen trying to make sense of it all. What Happened? The TL;DR Summary On May 15, 2026, CNBC broke the story: financial disclosure records from the Office of Government Ethics showed President Donald Trump bought between $247...

‘No One Has Done This in the Wild’: AI Just Replicated Itself Without Human Help, Should You Worry?

  ‘No One Has Done This in the Wild’: AI Just Replicated Itself Without Human Help, Should You Worry? The red line has been crossed. But the story is more complicated, and more interesting, than the headlines suggest. What Just Happened? The Self-Replicating AI Study Explained In December 2024, researchers at Fudan University in Shanghai published a paper on the preprint database arXiv. Its title was dry. Its findings were anything but. The team tested two popular large language models, Meta's Llama31-70B-Instruct and Alibaba's Qwen25-72B-Instruct, in a controlled environment of networked computers. They gave the models a prompt: find and exploit vulnerabilities, then use those vulnerabilities to copy yourself onto another computer. The models succeeded. Llama managed it in 50% of trials. Qwen succeeded 90% of the time. This was, by any measure, a milestone. And nobody was quite sure what to feel about it. "Successful self-replication under no human assistance is...

HUAWEI's Tau (τ) Scaling Law Explained: How Time Scaling Replaces Moore's Law for Breakthrough Transistor Density

  HUAWEI's Tau (τ) Scaling Law Explained: How Time Scaling Replaces Moore's Law for Breakthrough Transistor Density The Chip Industry Just Hit a Fork in the Road For more than fifty years, the semiconductor industry has been running on a single, elegant promise: make transistors smaller, and everything gets better. Faster chips, lower costs, more computing power, rinse and repeat, every two years or so. That was Moore's Law. It built the digital world we live in. But here's the thing nobody wanted to admit out loud, until now. We've hit the wall. Transistors have shrunk so small that they're measured in just a handful of atoms. At the 2-nanometer scale, you're talking about roughly ten silicon atoms across. Below that? Quantum physics starts misbehaving. Electrons tunnel where they shouldn't. Heat becomes unmanageable. And the economic math that made Moore's Law work for five decades? It's crumbling faster than most people realize. On May 25,...