28 July, 2026

Quora Answer: Is the Technology Industry a Bubble That Will Eventually Burst?

The following is my answer to a Quora question: “Is the technology industry a bubble that will eventually burst?

Yes, in the specific, narrow sense that matters: valuations in a handful of names have detached from any plausible earnings trajectory, and the mechanism sustaining those valuations increasingly resembles the participants financing their own demand.  That is not a market broadly overheated.  It is a market with an extremely concentrated fuse, and fuses of that kind tend to produce contagion rather than a contained correction.

The Magnificent Seven Concentration Problem

Seven companies, Nvidia, Apple, Microsoft, Alphabet, Amazon, Meta, and Tesla, account for roughly a third of the entire S&P 500’s market capitalisation, up from just 12.4% eight years ago.  According to Russell Investments data, these seven companies generate close to 70% of the total economic profit produced by the entire S&P 500.  That concentration is not diversified risk spread across an index.  It is a leveraged bet on seven balance sheets, wrapped in the psychological comfort of a broad-market label.

The contagion mechanism is straightforward.  These seven names share overlapping exposure to the same triggers: AI capital expenditure sentiment, interest rate expectations, and a heavily overlapping institutional shareholder base.  When sentiment turns on any one of these names, it rarely stays contained.  SPDR S&P 500 ETF Trust, the flagship cap-weighted fund, is up just 7.58% year to date through mid-2026, materially lagging its own equal-weight counterpart, which strips Magnificent Seven weighting down from a third to roughly 1.4%.  A third of the index’s fate now rides on seven earnings calls a quarter, and the index itself has started showing exactly what that dependency looks like when the mood shifts.

The SpaceX IPO as the Purest Distillation of the Bubble

If a single event captures the current disconnect between valuation and fundamentals, it is the SpaceX initial public offering.  SpaceX priced its June 2026 listing at US$135 a share, implying a valuation of approximately US$1.77 trillion, against 2025 revenue of roughly US$18.7 billion and a net loss of US$4.9 billion.  That prices SpaceX at roughly 95 times trailing revenue, a multiple with no precedent among the world’s most valuable companies, and a valuation exceeding Meta and Tesla combined on a revenue basis.

David Trainer, CEO of the research firm New Constructs, ran the numbers properly.  His discounted cash flow model found SpaceX would need to reach US$1.1 trillion in annual revenue by 2035 to deliver investors a modest 10% annual return, requiring roughly 50% compound annual growth sustained for ten consecutive years.  Over the past thirty years, according to FactSet data cited by Invesco, only about 3% of companies have managed to sustain top-quintile sales growth for even three consecutive years.  SpaceX priced itself at a valuation requiring a growth feat no company in recorded market history has ever achieved, for a full decade, and investors bought it anyway.  That is not a valuation.  It is a statement of faith.

The AI Concentration beneath the Concentration

Peel back the Magnificent Seven, and the AI infrastructure boom underneath it looks considerably more fragile than the headline numbers suggest.  Analysts have identified over US$800 billion in what is now openly called “circular financing” across the AI supply chain.  Nvidia invests billions into AI labs such as OpenAI and Anthropic.  Those labs use the capital to sign enormous cloud and compute contracts with Oracle, Microsoft, and Amazon Web Services.  Those cloud providers, in turn, spend a considerable share of that revenue buying chips from Nvidia.  Cash leaves Nvidia’s balance sheet as an “investment” and returns to its income statement as “revenue,” having merely toured through two or three other balance sheets along the way.

OpenAI alone has committed roughly US$1.15 trillion across seven major vendors between 2025 and 2035, including US$350 billion to Broadcom, US$300 billion to Oracle, and US$250 billion to Microsoft, while reportedly on track to lose approximately US$14 billion in 2026, nearly triple its 2025 loss, against a projection of US$100 billion in revenue by 2029.  Nvidia’s own CEO, Jensen Huang, has publicly dismissed the circularity concern as “ridiculous,” even as Nvidia continues backing the very companies that represent its largest customers.  Analysts at Bernstein Research have been considerably less dismissive, warning explicitly that deals of this scale “will clearly fuel circular concerns.”

This is not a new pattern.  During the dot-com era, telecommunications firms such as Lucent Technologies and Nortel Networks extended enormous vendor financing to their own customers, allowing those customers to buy equipment with money the vendor had effectively lent them, inflating reported revenue on both sides of the transaction.  When real-world demand failed to materialise at the promised scale, both the financing and the revenue it generated evaporated within a single downturn, taking enormous swathes of the telecom sector down with it.  The AI circular financing loop is the same mechanism, run through chips and cloud contracts instead of routers and fibre, at a considerably larger scale.

Why the Market is Stagnant Once You Strip Out Technology

Strip the Magnificent Seven out of the S&P 500, and the remaining 493 companies have delivered performance close to flat for extended stretches of 2025 and 2026, while the equal-weight index has occasionally outpaced the cap-weighted version specifically during periods when AI enthusiasm cooled.  The cap-weighted S&P 500’s entire headline return has, for long stretches, been carried by a handful of names, while the broader economy represented by the other 493 companies has generated close to nothing in aggregate gain.

This matters because market breadth, not headline index performance, is the more reliable signal of underlying economic health.  A market where seven companies do all the work, and 493 companies tread water, is not a broadly thriving economy expressing itself through equities.  It is a narrow speculative overlay sitting on top of an otherwise stagnant market, and narrow overlays are precisely the structures that collapse fastest once the handful of names holding them up stumble simultaneously.  If the Magnificent Seven falter, and the underlying 493 companies are already generating negligible growth, there is no broad-based economic strength left to catch the index on the way down.

The Verdict

None of this guarantees an imminent crash, and pretending certainty about timing would be dishonest.  What the data does show, unambiguously, is a market where valuation, concentration, and financing structure have all moved in the same dangerous direction simultaneously: extreme reliance on seven companies, an IPO priced on a growth assumption no company has ever sustained, an AI financing loop increasingly resembling the vendor-financing scheme that preceded the dot-com collapse, and a broader market that, absent technology, is barely moving at all.  A bubble does not require universal euphoria to be dangerous.  It requires exactly this: a narrow, over-leveraged core, propping up a market that has otherwise stopped generating genuine breadth on its own.


Terence Nunis | Executive Chairman, Equinox Zenith | Author, The 1% Playbook: The Billionaire Cheat Code



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