This is not a small, one-line risk. It
sits at the intersection of everything I have been tracking this month: India’s
stickier-than-expected inflation, America’s own hawkish undertone, a US
political calendar that could remove the last source of pressure on the Fed to
go easy, and an AI investment cycle that has been priced for perfection. Put
these together, and I think the probability of a rate-hike-triggered correction
is higher than most portfolios are prepared for — even though I continue to
believe that the longer-run destination for global monetary policy is easier
money, not tighter.
July’s CPI print came in at 4.45%
year-on-year, above where most estimates had it pegged, and above June’s 4.38%.
Food inflation is running hot at 5.5%, durable food inflation has climbed to
5.1%, and even core inflation — stripping out food and fuel — is holding near
3.9%, with the ‘super-core’ reading (core excluding gold and silver) creeping
up to 2.5%. None of these numbers is alarming in isolation. Together, they tell
me the disinflation trend of the past year has stalled, not reversed, but
stalled at a level still uncomfortably close to the upper end of the RBI’s
comfort zone.
My own base case is FY27 CPI inflation
averaging around 5%, with a genuine risk of topping 5.5% if the monsoon turns
uneven in its closing weeks or crude prices find a bid again. On that math, it
would not be unreasonable to expect ~50bps of cumulative tightening in 2HFY27 —
a meaningful shift from a market that has spent most of this year debating rate
cuts, not hikes.
The view that the Federal Reserve may
hike interest rates by 50-75bps points before this year is out is strengthening
gradually, against a Fed Funds futures market that is currently pricing in
barely 25 basis points of hikes. That is a large gap between what I think is
coming and what the market has actually priced in — and gaps of that size tend
to close abruptly, not gradually, once the data forces the market to catch up.
In my view, successful policy needs
many conditions to align at once — growth, inflation, credibility, fiscal
discipline — while failure can come from any single one going wrong. Right now,
resilient growth and sticky inflation are both arguing against the rate cuts
the market has been hoping for, which is why my own reading of US rates and the
dollar stays firmly on the hawkish side for the next two to three quarters, not
the dovish one.
If the Republicans lose ground in this
year’s US midterm elections, the Trump administration effectively becomes a
lame-duck presidency for its remaining term. A weakened White House has
historically had less leverage — political or otherwise — to lean on the
Federal Reserve to keep money cheap. Whatever informal pressure exists today to
ease policy in an election-conscious environment would diminish sharply once
the electoral calculus behind such pressure disappears.
That matters because a Fed chair with a
hawkish reputation, freed from midterm-related political pressure, has every
incentive to hold the line on rates for longer than the market currently
expects — partly on principle, partly to protect their own legacy. The
direction of travel over the medium term may still be lower rates, for reasons
I laid out a few weeks ago, but the road between here and there could run
through more tightening first, not less.
This is where the rate-hike story stops
being an isolated macro debate and starts becoming a market-structure problem.
Ruchir Sharma and Michael Burry, among others, have separately warned that if
US rates move higher from here, the unwind of AI-linked positioning could be
sharper and faster than currently priced. I think the underlying numbers
explain why that warning has teeth. The RIC report by BoFA strategist digs
deeper:
● Capex without proof of productivity.
AI capital expenditure is sitting at record highs relative to sales, while
economy-wide productivity growth is running at just about 2.2% — barely above
the roughly 2% average this economy has managed since 1987. By my own read, AI’s
actual contribution to that number is only about 0.1 percentage point a year, a
fraction of what the dot-com capex cycle delivered relative to its own
spending. That is a very large bet resting on a very thin evidence base.
● A crowded, one-way trade. Fund
manager surveys consistently show semiconductors as the single most crowded
trade in the market, cited by well over three-quarters of respondents, even
after brief rotations toward defensives. Crowded trades unwind violently
precisely because everyone is trying to exit through the same door at the same
time.
● Concentration risk in the index itself.
The ten largest companies in the US market now represent more than $24
trillion, or roughly a third of the broad index. When an index is this
concentrated, a reversal in mega-cap leadership does not stay contained to a
sector — it drags the benchmark, and every fund benchmarked to it, down with
it.
● A discount-rate problem. AI and other
long-duration growth stocks are priced on cash flows expected many years out.
Higher rates mechanically shrink the present value of those distant cash flows
more than they shrink the value of a bank or an energy company earning cash
today. A rate hike does not just raise the cost of capital for AI companies —
it re-prices the entire long-duration growth complex at once.
None of this means AI itself is a
mirage. There are real, if narrow, productivity gains showing up in areas like
software development, and history shows that transformative technologies —
railroads, fibre-optic cable, shale — usually do create genuine value
eventually, even when the first wave of capital that funds them is destroyed
along the way. The risk is not that AI fails as a technology. The risk is that
AI-linked equity valuations are pricing in a smooth, uninterrupted path to that
value creation, and a rate shock is exactly the kind of event that interrupts
smooth paths.
Regular readers will remember that I
have also argued the opposite-sounding case: that America’s over-levered
household sector, its habit of rolling short-dated Treasury debt, and a banking
system running low on reserves all point toward more monetary easing eventually
— potentially a ‘super QE’ larger than 2008 or 2020. I still believe that. The
two views are not actually in conflict; they describe two different points on
the same timeline.
“What’s much less certain is what
happens in the interval between ‘everyone knows QE is coming’ and ‘QE actually
arrives.’ That gap is where currency stress, bond-market air pockets, and
credit events tend to live.”
A rate hike in late 2026 or early 2027
would not contradict the eventual-easing thesis — it would be the disorderly
middle chapter that forces the eventual easing to happen.
Higher rates now would be deflationary
in their immediate effect: they would raise the cost
of AI-related capex, slow the investment momentum that has been propping up GDP
growth, and puncture the wealth effect that has kept US consumption resilient
even as real household finances have deteriorated. That combination — weaker
growth, a wounded wealth effect, and credit stress already visible in pockets
of leveraged loans and private credit — is precisely the kind of shock that
eventually forces a central bank’s hand toward emergency easing. The path
there, though, could be considerably more painful.
Indian Equity: Cut to underweight; trim froth. Nifty offers only moderate upside on
my own math, and valuations are rich, so macro risk (rate hike + global AI
shakeout) argues for buying dips, not chasing rallies. Reduce high-beta,
high-PE, story-driven names; favor quality, cash-generative large-caps and
domestic-demand plays over globally-linked cyclicals.
Global Equity: Cut exposure. Reduce concentration. Prefer diversified international
and value-tilted funds over concentrated AI-themed funds.
Debt/Fixed Income: Rising rates hurt long-dated bonds first and hardest. Prefer accrual, short duration and high-quality
corporate paper over long gilts.
Cash/Liquid Funds: Overweight. Keep dry powder to
redeploy if the ‘gap’ between hawkish talk and eventual policy easing turns
disorderly. Liquid and ultra-short funds, not idle savings accounts.
(Note: I am not considering gold and
cryptocurrencies in my strategy as my understanding of these assets is
extremely poor. Each investor may consider these as per his\her understanding.)
The probability of a rate hike — in
India, and more importantly in the US — is higher today than the market’s own
pricing suggests. If that hike arrives while AI-linked valuations remain this
stretched and this concentrated, the resulting correction could be faster and
sharper than the consensus ‘soft landing, gentle AI cooldown’ narrative
currently assumes. I do not think this changes the eventual destination — a
more accommodative monetary regime once the strain becomes visible enough to
force policymakers’ hands. But the road between here and there is the part
investors actually have to live through, and it is worth positioning your
portfolio for a bumpier middle chapter: equity that leans toward quality and
away from crowded themes, debt that stays short in duration; and adequate dry
powder (cash).
As always, I could be wrong about the
timing, the trigger, or the severity — markets have a way of staying irrational
for longer than any single argument accounts for. But positioning for a
plausible, non-trivial risk is not the same as predicting it, and that
distinction is the whole point of risk management.