An entire industry is being propped up by math that is insane.
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An entire industry is being propped up by math that is insane.<br>Welcome to fantasy land
Gary Marcus<br>Jun 08, 2026
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Jensen Huang has apparently likened the upcoming IPO’s to Amazon, Google and Meta:
Cassandra👌𝕏@Caxsandrar
Jensen Huang believes that snapping up shares of SpaceX, OpenAI, and Anthropic at IPO could echo the legendary early bets on Amazon, Google, and Meta.
To put that in perspective: $1,000 in Google’s IPO has grown to nearly $139,000 today, while the same stake in Amazon back in
1:50 PM · Jun 8, 2026 · 37 Views
As someone on X just pointed out (I am rewriting slightly for clarity, and trusting their numbers, which sound about right to me), Amazon returned 2,538x the original investment. If SpaceX were to do the same, its Market Cap would be $4,442 trillion, or 36 times the current total world GDP.<br>That is absolutely not going to happen.<br>It’s insane.<br>Another way to think about it.<br>fortune.com/2026/06/06/spa… ","username":"MauiBoyMacro","name":"Kalani o Māui","profile_image_url":"https://pbs.substack.com/profile_images/1829004141387280384/a6SH9AJ__normal.jpg","date":"2026-06-07T15:38:46.000Z","photos":[{"img_url":"https://pbs.substack.com/media/HKOL4hDbUAAEcuE.jpg","link_url":"https://t.co/W5dZnuW2NN"}],"quoted_tweet":{},"reply_count":16,"retweet_count":41,"like_count":147,"impression_count":16640,"expanded_url":null,"video_url":null,"belowTheFold":false}" class="pencraft pc-display-flex pc-flexDirection-column pc-gap-12 pc-padding-16 pc-reset bg-primary-zk6FDl outline-detail-vcQLyr pc-borderRadius-md sizing-border-box-DggLA4 pressable-lg-kV7yq8 font-text-qe4AeH tweet-fWkQfo twitter-embed">
Kalani o Māui@MauiBoyMacro
“Garnering that almost 600x increase means hiking sales 50% a year, on average, for a decade.” 👇🏼
fortune.com/2026/06/06/spa…
3:38 PM · Jun 7, 2026 · 16.6K Views
16 Replies · 41 Reposts · 147 Likes
I have to think that anyone who buys the SpaceX IPO just isn’t that good at math. Or history.<br>At least a few people have figured that out:<br>morningstar.com/stocks/why-we-… ","username":"MikeIsaac","name":"rat king 🐀","profile_image_url":"https://pbs.substack.com/profile_images/1712602900189650944/0hCb1PL1_normal.jpg","date":"2026-06-08T15:24:10.000Z","photos":[{"img_url":"https://pbs.substack.com/media/HKTSIWGbEAALkyn.jpg","link_url":"https://t.co/4O0Zo74avH"}],"quoted_tweet":{},"reply_count":4,"retweet_count":19,"like_count":94,"impression_count":4946,"expanded_url":null,"video_url":null,"belowTheFold":true}" class="pencraft pc-display-flex pc-flexDirection-column pc-gap-12 pc-padding-16 pc-reset bg-primary-zk6FDl outline-detail-vcQLyr pc-borderRadius-md sizing-border-box-DggLA4 pressable-lg-kV7yq8 font-text-qe4AeH tweet-fWkQfo twitter-embed">
rat king 🐀@MikeIsaac
cracks in the facade starting to spread
morningstar.com/stocks/why-we-…
3:24 PM · Jun 8, 2026 · 4.95K Views
4 Replies · 19 Reposts · 94 Likes
A new study , from Jessica Wachter (Wharton) and Jonathan Wachter (Point 72), aims to calculate how much productivity needs to grow for the whole thing not to fall apart. (In technical terms they sought to derive “the cumulative increase in productivity required to justify this level of investment, assuming no change in discount rates, and zero economic profits … Were then boom to be smaller than this, the investments would be NPV-negative.”)
Alexander Panetta@Alex_Panetta
Striking paper from Wharton. The big conclusion: AI must increase productivity 2.7x -- and quickly -- or tech companies risk bankruptcy with all that entails for the economy. For context: this is how a quickie 2.7x productivity boom would compare to historical precedent. Paper
9:02 AM · Jun 8, 2026 · 67.6K Views
22 Replies · 77 Reposts · 359 Likes
I haven’t looked carefully at the math, and the paper’s lead author, Jessica Wachter, added some nuance on the tweet above’s characterization when I asked but they don’t change the overall situation all that much:<br>The tweet is correct in that 2.7 is the required multiple of productivity. The missing context, however, is that the 2.7 number applies to the AI sector, broadly defined. Also, large companies with relatively low debt have ways of staying out of bankruptcy, so there would be some leeway in how long that increase in productivity would take to play out. That said, we do assume it would occur by 2028 (which is reasonably quickly).<br>In any case, I share the paper’s observation that what we have now is “a productivity boom that is in investment data, but not yet in productivity data. If the boom fails to materialize, the current buildout will be the largest misallocation of capital in history” (a phrase and conclusion almost identical to one I used here in April).<br>If there is a boost in productivity, we will perhaps see it first in coding, but 2.7x relative to the entire economy is an enormous ask.<br>And that doesn’t even of course...