In recent months, the term “AI bubble” has resurfaced with considerable frequency — a label that may be excessive, yet one that reflects an undeniable reality: the investment cycle linked to Artificial Intelligence is advancing at a pace not seen for some time. This is not merely technological enthusiasm; it represents a genuine shift in the scale of the broader economy. Giants such as Nvidia and Microsoft are fuelling an unprecedented wave of capital expenditure in infrastructure, semiconductors, data centres, dedicated power grids, and cloud platforms.

It is an enormous process, reminiscent of certain historical phases in which the economy selected a new “fuel” and began injecting it at full speed. Yet, as is often the case in major cycles, not all effects are immediately visible. Some are apparent in equity markets — more visual, more narrative in character — whilst others are beginning to make their presence felt in the bond market, which is traditionally more measured and more sober in its assessment of risk.

It is precisely here that the most compelling aspect emerges: the fact that equity and bonds are exhibiting an anomalous convergence, as though both, from differing perspectives, are responding to the same impulse. A powerful impulse, but one not without its implications.

The AI Euphoria and the Other Side of Capital

On one side, equity markets are experiencing a phase of enthusiasm driven by revenue growth, earnings forecasts, and the perception that AI may generate an entirely new productivity paradigm. This is a narrative we know well: substantial investment today, substantial returns tomorrow. It often proves to be exactly so; at other times, the market tends to overestimate the speed of the process.

On the other hand, however, there exists a less widely discussed mechanism: a capital expenditure cycle of this magnitude must be financed. Regardless of whether corporate coffers are full or cash flow is generous, when physical infrastructure of this scale is being built, the debt market inevitably becomes part of the story. And we know well that the bond market is never a mere spectator. It observes, assesses, and prices. Above all, it accounts for the possibility that the investment trajectory may not prove linear.

Contagion: When One Sector Drives Even What It Ordinarily Should Not

The term “contagion” should not be read in dramatic terms. We are not speaking of a systemic risk already in motion, nor of a collapse in fundamentals. The contagion under discussion here is more subtle: it concerns the sharing of the same risk drivers.

AI, today, is becoming a common factor both in equity valuations and in the perception of credit risk. If capital expenditure grows too rapidly, if the cycle requires more capital than anticipated, if returns are slow to materialise, the first market to send signals is almost never the equity market — it is the bond market.

Not because it is pessimistic, but because it is structurally more attentive to financial sustainability.

A bond market observing a spending boom might begin to ask: how long can this pace be sustained? What will be the impact on cash flows? How much margin remains before leverage begins to rise once more?

These are ordinary, rational questions. But they are also questions that bring the world of credit closer to the world of equity than is customary.

A Single Dominant Financial Engine

The convergence between equity and bonds originates precisely from this point: both, in different ways, are responding to the same mechanism. For equity, AI represents future growth.

For fixed income, AI represents financing capacity and the sustainability of the cycle.

When a single phenomenon becomes so central as to condition simultaneously:

  • market valuations,
  • earnings expectations,
  • debt structure,
  • demand for capital,
  • and, consequently, risk pricing

it is entirely natural that the two worlds begin to resemble one another more than anticipated. This does not mean they are travelling in the same direction. It means they are following the same map.

The Hidden Fragility of Linear Growth

It is also essential to recall that major technological cycles never proceed in a linear fashion.

They typically follow a highly recognisable sequence:

  1. a phase of massive investment;
  2. a phase of natural selection (not everything survives, not everything yields returns);
  3. consolidation;
  4. real returns distributed over time.

We are clearly at the first stage of this sequence today.

The question is whether the market — both equity and bonds — is correctly pricing stages 2, 3, and 4, or whether it is envisioning an excessively direct path.

The risk is not a crisis, but rather the disappointment of temporal expectations.

Should returns arrive somewhat more slowly, should margins compress during the selection phase, should certain companies overestimate aggregate demand, the convergence between equity and bonds could suddenly become far more pronounced — and considerably less agreeable.

What an Investor Should Be Watching Today

Scepticism is not required. Perspective is.

AI is a genuine revolution. It will generate value. Probably a great deal of it. But when an entire economic cycle moves this rapidly, it is prudent to monitor what is occurring in the less visible layers of the market as well: credit demand, bond issuance, capital structure, the yield curve, the cost of financing.

It is there that the first signs of overheating are often concealed. Not in order to dampen enthusiasm, but to prevent that enthusiasm from becoming excessive concentration.

Conclusion: Two Markets, One Single Pulse

Equities and bonds are not, at present, telling opposing stories, as they so often do. They are telling the same story from two different perspectives. A story built on innovation, opportunity, substantial investment and, inevitably, financing decisions. When this occurs, markets become more interconnected. Rotations appear more rapid, sentiment becomes more synchronised, adjustments more sudden.

This is not a warning signal. It is an invitation to view AI not merely as a technological theme, but as a total financial phenomenon — one that cuts across balance sheets, debt, valuations, and expectations.

And like every total phenomenon, it deserves to be observed with a clear mind, reasoned enthusiasm, and a sound measure of common sense.