SortMe Money
The question turns up everywhere at the moment. In the headlines, in the group chat, from the friend who has never mentioned shares in his life and suddenly wants to know whether he should pull his KiwiSaver out of Growth. Is this an AI bubble? Is it about to pop? The honest answer, worth sitting with for a second: nobody knows. Bank of America surveys global fund managers every month — the July 2026 round covered 210 of them running about US$555 billion between them. For the first time, an "AI bubble" topped their list of biggest tail risks, named by 45% (up from 28% in June). Then the survey asked them straight out whether AI stocks are in a bubble. 43% said yes. 48% said no. That's the state of expert opinion: a coin flip, held by people with Bloomberg terminals and research teams. In this episode, SortMe Resident Money Writer Hugo Jonston sets aside the unanswerable will it crash? and picks up the entirely knowable one: what would a crash actually do to me? He walks the froth and the earnings evidence on both sides, brackets the range using dot-com and GFC history, and unpicks the single variable that decides whether a 30% drop is an emergency or a non-event — and it isn't your view on AI. It's your time horizon. In this episode: * The 43/48 coin flip in BofA's July 2026 Global Fund Manager Survey — and why any article that tells you what happens next should be treated with suspicion * The case for worry — top-10 concentration in the S&P 500 running mid-to-high 30s (double the 1990–2015 average), with 82% of managers calling "long global semiconductors" the most crowded trade on record * The case against panic — unlike 1999, the mega-caps at the centre of this are enormously profitable, and much of the AI spend is being funded from operating cash flow rather than debt (which is how bubbles fail differently, and far more violently) * The two historical brackets — the Nasdaq's 78% dot-com drawdown taking 15 years to reclaim, and the S&P 500's 57% GFC drop taking 5.5 years — and why the depth of the fall tracked how much of the price was supported by real earnings * The anatomy of a 30% drop in your own numbers — $80,000 across KiwiSaver and Sharesies becoming $56,000, a $24,000 loss that grinds over months, and the real danger (the thought that arrives around the third bad month) * Why the same drop is a genuine emergency for a March house deposit and a non-event for a 34-year-old's KiwiSaver — and the honest caveat about sequence-of-returns risk in the years either side of retirement * The bit most people get wrong — collapsing risk tolerance and concentration into one question, and how three "diversified" wrappers can quietly be the same handful of US tech companies ridden three times * The four moves that don't require a view on whether the bubble pops — know your real exposure across every account, know your buffer, match money to time (nothing you need in ~3 years should be in the market, nothing you need in 30 needs to leave it), and write down now what you'll do if it falls 30% * Where SortMe fits — a read-only view that connects banks, KiwiSaver and investment platforms so the two numbers this article is about (what you're really holding, and how much cash you'd have to lean on) stop being scattered across five logins Read the full article: sortme.com/post/share-market-crash
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