Michael Burry, the investor who famously predicted the subprime mortgage bubble bursting in 2008 and was a central character in Michael Lewis’ book The Big Short, recently revealed that he is shorting more than a billion dollars of shares in tech high-fliers Palantir and Nvidia. Both stocks tanked on the news, though they have recovered some since, and it initially brought jitters to the broader market.
Palantir’s CEO Alex Karp has called Burry “batsh*t crazy” for betting against his company and accused him of market manipulation.
Nonetheless, Burry’s short selling has fuelled concerns about whether markets are overvalued, if not bubbly, and whether they may be on the precipice of a correction or crash.
Downplaying Burry
Before getting to that, it’s worth putting Burry’s latest moves into context. It’s fair to say that Burry is an eccentric character. He went from being a medical student to writing about stocks for a website, to attracting money from big-hitting fund managers, to making huge bets against US subprime mortgages that turned spectacularly right in 2008. His eccentricity made him a captivating character both in Michael Lewis’s book and the subsequent movie.
However, his market moves since the GFC have been a mixed bag. But he can afford to get it wrong given the riches he’s previously made.
While his shorts of Palantir and Nvidia are large, Burry has probably hedged them in a way so he’s not betting the farm on them ie. he won’t go broke if they turn awry.
And it’s worth noting that he has made specific shorts against two tech companies. He hasn’t shorted the entire US tech sector or the broader stock market.
Burry has since explained that he thinks the AI capex boom is inflated and tech companies aren’t accounting for them correctly, as they are overstating the useful life of chips, thereby understating depreciation charges and boosting short-term profits. He thinks the returns on AI will disappoint and future accounting adjustments will hurt long-run profits.
That said, Burry is a smart guy and his latest investments have added to concerns that we may be witnessing a historic market bubble that won’t end well.
He’s not the only bear
Burry is far from the only bear.
Even Jerome Powell, the US Federal Reserve Chair, has said that he thinks stocks are “fairly highly valued.”
Aswath Damodaran, an NYU Professor and valuation expert, followed up on Powell’s remarks with work of this own, and concluded that: “It is undeniable that this market [the US] is richly priced on every metric.”
Jeremy Grantham, who correctly called the 2000 and 2008 downturns, is similarly sceptical about today’s market: “This is the highest-priced market in the history of the stock market in the US.”
Wall street legend Ray Dalio is concerned about recent US central bank indications that it will start buying bonds again. If that develops into full-blown quantitative easing, against a backdrop of a still strong economy, markets will be vulnerable:
“It would be reasonable to expect that, like late 1999 or 2010-11, there would be a strong liquidity melt-up that will eventually become too risky and will have to be restrained. During the melt-up, and just before the tightening that is enough to rein in inflation that will pop the bubble, is classically the ideal time to sell.”
Markets do look toppy
These experts have a point – markets do look frothy.
First, the S&P 500 has returned 16.2% per annum (p.a.) since it bottomed in March 2009. It’s been a glorious run, far exceeding the long-term index average return of 10% p.a.
The ASX 200 returns pale in comparison yet have still been healthy, up 10.7% p.a. over the same period, above its long-term average of close to 10% p.a.
Second, valuation metrics, as Professor Damodaran mentions, are high. The S&P 500 is trading at a forward P/E multiple of 23x, versus the long-run average of 17x. It’s above levels prior to the 2022 highs, and only a little below those of 2000.

These P/E levels don’t augur well for future US market returns.

Meanwhile, the cyclically adjusted P/E ratio (CAPE) indicates the S&P 500 is now more expensive than it was in 1929, and a touch below levels reached in 2000, before the market fell 60%.
Shiller P/E ratio

Source: Robert Shiller
While ASX valuations aren’t as high, the ASX 200 is trading at 20x forward P/E, well above its historical average of 16x.
Third, the extraordinary spending on AI by the tech giants looks eerily like the telecoms capex of the late 1990s and railroad investment bonanza of the 19th century – both of which didn’t end well.
Microsoft, Amazon, Google & Meta will pour US$400 billion into capital expenditure this year and J.P. Morgan forecasts US$6-7 trillion in AI capex by 2030, which will require about US$650 billion in perpetual annual revenue to make a 10% return.

Four, there’s been the launch of a host of leveraged ETF products this year, offering up to 5x leverage on daily returns.
Five, meme stocks are back. There have been a lot of crazy moves in US stocks recently – Krispy Kreme, GoPro, Beyond Meat, Kohl’s - driven by retail investors and fuelled through social media.
Six, there have been many head-scratching, large deals in public and private markets. The circular deals among AI giants – where they essentially invest in each other’s chips, capital and compute power – harks back to pre-2000 when internet companies did similar types of deals.
And in private markets, the money flowing into anything AI has been extraordinary. Thinking Machine Labs, launched by a former OpenAI executive, received a US$12 billion valuation via raising US$2 billion in seeding funding, even though it doesn’t have a product and few know what it is building.
Timing markets is hard
Despite the obvious froth, it doesn’t mean markets will correct or crash any time soon.
It’s worth recalling that Jeremy Grantham started calling out a bubble in internet stocks in 1997, but it was three years before markets crashed and, in the meantime, stocks more than doubled.
During that same period, hedge fund legend Julian Robertson made larger and larger bets against tech stocks and yet they continued to go up. He had to close his fund in March 2000, just before the bubble collapsed.
Put simply, bubbles are easier to detect than to time.
What should the average investor do?
So if you do believe that markets are getting toppy, what should you do about it?
Rather than predict what the market is going to do, which is nearly impossible, it’s better to prepare for what’s ahead. To do that, here are three tips:
- If you are a long-term investor with a timeframe of 10+ years, it may be best to do nothing – or at least – very little.
- If you need to soon make a withdrawal - possibly a large one - from your shares, dialling back risk would make sense.
- Imagine a scenario where stock markets fall 50% and consider how you’d react. If you’d be inclined to sell stocks, then perhaps you hold too many stocks to begin with. If you’d want to buy more stocks when they’re down, then maybe you need more liquidity, aka cash, in your portfolio to take advantage of future opportunities.
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We feature several related articles this week. Owen Lamont of Acadian Asset Management says retail investors are winning big right now, and this case of 'dumb money triumphant' bears similarities to 1929 and 1999 - both of which didn't have a happy ending.
There are also two pieces on the rise of AI. Michael White from Schroders explores how AI will impact search and Google, while Rob Almeida of MFS suggests transformative technologies often create massive societal value but leave producers with thinner profits. As AI accelerates, he says understanding this dynamic is key for savvy investors.
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In my article, I reflect on Warren Buffett's last letter to Berkshire Hathaway shareholders, and how my view of him - as a genius investor though flawed man - has changed over time.
James Gruber
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UniSuper's Annika Bradley explains how a string of negative investment returns early in retirement can drastically reduce how long your super lasts. She says understanding sequencing risk is crucial to planning for a secure retirement.
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Curated by James Gruber and Leisa Bell
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