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Reading: The web is not identical to actual life, a prime VC says — it’s actual life. For a16z, that is not philosophy, it is an funding | Fortune
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Asolica > Blog > Business > The web is not identical to actual life, a prime VC says — it’s actual life. For a16z, that is not philosophy, it is an funding | Fortune
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The web is not identical to actual life, a prime VC says — it’s actual life. For a16z, that is not philosophy, it is an funding | Fortune

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Last updated: April 22, 2026 5:00 pm
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6 hours ago
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The web is not identical to actual life, a prime VC says — it’s actual life. For a16z, that is not philosophy, it is an funding | Fortune
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Contents
  • Upstream of every thing
  • A historic echo
  • To make sure
  • The place, what, and who

The phrase “touch grass” has develop into the web’s method of telling somebody to sign off and rejoin the true world. Erik Torenberg, a normal companion at Andreessen Horowitz, thinks the phrase has it precisely backward — and that getting the philosophy proper has monumental financial penalties.

In a brand new essay printed via a16z, Torenberg makes a sweeping argument: the web isn’t encroaching on actual life. It has develop into actual life. And what seems like a cultural provocation is, on nearer studying, a enterprise thesis about the place worth shall be created in an financial system being remade by synthetic intelligence.

“The internet is real life,” Torenberg writes. “And navigating life means navigating the internet.”

Upstream of every thing

The deeper declare is philosophical. Torenberg argues there is no such thing as a such factor as an unmediated human existence — and by no means was. “From the beginning of history, we’ve used technology to mediate between ourselves and the world,” he writes. Domesticating horses, inventing forex, constructing governments — every was a mediating layer between humanity and uncooked nature. The web is just the most recent and most expansive model of that historical course of, people studying to interface with know-how. “Even real life is not ‘real life.’”

A historic echo

It’s a thesis that finds an unlikely illustration in a separate essay printed the identical week by George Mason economist Alex Tabarrok. Writing on his weblog Marginal Revolution, Tabarrok makes the more and more acquainted argument for the AI age that the Luddites — well-known for smashing looms in early Nineteenth-century England — had been, in a way, the primary folks to assault AI. However in contrast to most, he hyperlinks the loom to its unlikely descendant: the pc.

The Jacquard loom, launched in France round 1805, used a sequence of punched playing cards to regulate weaving patterns, a design that Charles Babbage borrowed straight for his Analytical Engine and that ultimately traced a line to the fashionable laptop. He quotes from Ada Lovelace, the daughter of Lord Byron and, many suppose, the world’s first laptop programmer, roughly 100 years earlier than computer systems existed: “The Analytical Engine weaves algebraical patterns just as the Jacquard-loom weaves flowers and leaves.”

Tabarrok thanked Anthropic’s Claude for help in pulling his publish on the Luddites collectively, and he clarified to Fortune that he was accustomed to the hyperlink between the loom and Babbage’s Analytical Engine, however Claude helped him join extra dots: Manchester, the epicenter of each the Industrial Revolution and plenty of Luddite riots, was additionally dwelling of the Manchester Mark 1, the primary digital stored-program laptop, the place Alan Turing, father of contemporary computing, was employed to program it.

The loom is, in different phrases, an ideal illustration of Torenberg’s mediating-layer argument. It didn’t substitute the weaver’s embodied existence — it inserted itself between the weaver’s talent and the completed material, restructuring what “weaving” meant and who might do it. Tabarrok argues that “programmable looms introduced patterned garments to the lots, absolutely factor in the long term, economically talking, however absolutely additionally with some short-term ache through the transition to the brand new interface. Extending this to Torenberg’s argument, the web has achieved the identical factor to just about each area of human exercise, at incomparably higher scale.

To make sure

Not everybody will settle for the leap from “the internet shapes everything” to “the internet is real life.” Critics would word that Torenberg conflates affect with id: a hammer shapes a home with out being the home. Embodied expertise — grief, sickness, starvation, the irreducible reality of a physique — nonetheless refuses to completely migrate on-line. The hazard in collapsing the excellence is that selections get made based mostly on what’s loud and visual in a feed fairly than what’s true in mixture human expertise.

Torenberg anticipates the objection, and his response is pointed: even telling somebody to “touch grass” is itself internet-native language. The critics, he argues, have already confirmed his level: “When someone tells you that you are ‘extremely online,’ or need to ‘touch grass,’ they are–intentionally or not–confessing that they too have had their brain colonized by internet cliches.”

The place, what, and who

What makes the essay greater than a cultural argument is the financial framework it implies — one which maps onto three questions economists are urgently asking concerning the AI financial system.

What turns into scarce inside that layer? College of Chicago behavioral economist Alex Imas has made the complementary argument: as AI commoditizes data, content material, and cognitive labor, what turns into economically beneficial is the relational layer — the issues with an irreducibly human ingredient. His “relational sector” thesis holds that tomorrow’s middle-class consumption patterns will resemble these of the rich at present, with folks paying for human connection the way in which solely the wealthy presently do. As he advised Fortune lately, “There’s a lot of jobs right now that have a relational component, which will become relational jobs.”

That is Torenberg’s cultural argument translated straight into labor economics: if AI is commoditizing every thing automatable inside the web’s mediating layer, then what’s scarce is genuine human navigation of that layer — exactly what Torenberg’s media community is promoting.

Who captures the beneficial properties? That is the place Tabarrok’s Luddite analogy cuts. The Luddites misplaced, he writes, not just because programmable looms had been higher, however as a result of the British army violently suppressed them and Parliament made frame-breaking a capital crime. As Tabarrok has individually famous, actual British wages had been flat from 1780 to 1840 whereas output per employee doubled; life expectancy in 1840s Manchester was 26. The beneficial properties lastly broadened after 1840, and never via the market — they got here via the Manufacturing unit Acts, unions, and the exhausting building of countervailing political energy. As one commenter on Tabarrok’s publish put it: “The gains were real. The distribution of those gains was not inevitable — it was enforced.”

“The first thing that people think about when they think about reducing work is unemployment,” Alex Tabarrok lately advised Fortune. “But reducing work could mean, you know, a shorter work week. It could mean a longer retirement, a longer childhood, more holidays.”

That’s the query Torenberg’s essay, by design, leaves unanswered. Torenberg identifies the place the brand new financial system is organized. Imas identifies what turns into beneficial inside it. Tabarrok’s historical past identifies who decides — and warns that the reply has by no means been decided by markets alone. If the web is actual life, and a16z holds important infrastructure round how the internet-as-real-life is known, the distribution query turns into pointed in ways in which no quantity of philosophical magnificence can dissolve.

Torenberg didn’t reply to a request for remark.

For this story, Fortune journalists used generative AI as a analysis software. An editor verified the accuracy of the data earlier than publishing.

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