EdL (@edlascelles) header
EdL (@edlascelles) profile picture

Partner @AlbionVC

London
Joined March 2009
Photo by EdL (@edlascelles)Photo by EdL (@edlascelles)
New essay on the economics of structural change and the post-commodity future of work. 1. Almost any question about the impact of advanced AI on the economy needs to start at the same place: what is still scarce? Answer that, and the analysis becomes pretty straightforward. This essay explores what becomes scarce if AI really can replicate most of what humans do in production, and what this mean for the future of jobs. 2. My conjecture, working through the economics: labor reallocates across sectors, and the sector it reallocates to has properties that keep labor a meaningful share of the economy. Ultimately this is about the structure of demand itself. For this, we have to go back to Girard, Augustine and Rousseau: once people's base needs are met, their preferences shift to comparative motives (e.g., status, exclusivity, social desirability). This motive is inherently non-satiated. 4. The key paper is Comin, Lashkari, and Mestieri (Econometrica 2021). As people get richer, they don't buy proportionally more of everything. They shift spending toward sectors with higher income elasticity. They estimate income effects account for 75%+ of observed structural change. 5. The ironic consequence: the sector that gets automated becomes a smaller share of the economy, not a larger one. Agriculture got massively more productive and its share of employment collapsed. Manufacturing too. The "stagnant" sectors absorb the spending and the jobs. 6. So the question is: which sectors have high income elasticity in a post-AGI world? I argue it's what I call the relational sector. Categories where the human isn't just an input into production, it is part of the value. 7. Why does the relational sector have high income elasticity? Because human desire has a mimetic, relational dimension. We don't just want things for their intrinsic properties. We want what others want, and we want it more when others can't have it. Girard, Rousseau, Augustine, and Hobbes all saw this. 8. In work with Kristóf Madarász, we showed this experimentally: WTP roughly doubles when a random subset of others is excluded from the good. And in new work with Graelin Mandel, AI involvement kills the premium. Human-made art gains 44% from exclusivity; AI-made art only 21%. 9. This all comes together for the core argument. The sector that absorbs spending as AI makes commodity production cheap is one where human provenance is part of the value, and demand for it grows faster than income. Exactly the profile that keeps labor meaningful. 10. To be clear about the claim: I'm NOT saying aggregate labor share must rise. It may fall. The claim is about sectoral composition, i.e., where expenditure and employment go once commodities get cheap, and the fact that the sector that will absorb reallocated labor maps to a substantial component of human preferences and desire. 11. If you're interested in the formal model, a linked companion technical note works out all the economics. Read the essay here: aleximas.substack.com/p/what…
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Citadel Securities published this graph showing a strange phenomenon. Job postings for software engineers are actually seeing a massive spike. Classic example of the Jevons paradox. When AI makes coding cheaper, companies actually may need a lot more software engineers, not fewer. When software is cheaper to build, companies naturally want to build a lot more of it. Businesses are now putting software into industries and tools where it was simply too expensive before. --- Chart from citadelsecurities .com/news-and-insights/2026-global-intelligence-crisis/
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There are 47 VC-Backed Private Startups Worth Over $10B $100B+ • OpenAI • SpaceX • ByteDance • xAI • Anthropic • Ant Group • Stripe • Databricks $30B–$100B • Reliance Retail • Binance • Shein • Jio Platforms • Waymo • Canva • Figure AI • Ramp • Safe Superintelligence (SSI) • Epic Games • Fanatics • Anduril • Telegram • Anysphere (Cursor) • Scale AI $10B–$30B • Applied Intuition • Mistral AI • Xiaohongshu (RED) • Helsing • Plaid • Grammarly • Devoted Health • Faire • Brex • Thinking Machines • Biosplice • Bitmain • GoodLeap • Getir • Northvolt • Rippling • Airtable • Checkout • Celonis • ZongMu Tech • Bolt • Colossal Biosciences • Cognition AI • Alchemy
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10. Being slow (solution: see point 1)
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Broad VC support for a purchase & recapitalisation of SVB-UK as indicated in this joint statement - @TechLondonAdv @GlobalTechAdv @vc_tla @localglobevc @atomico @joinef @seedcamp @pinksaltvc @stride_vc @firstminutecap @IndexVentures @OutsizedVC @OMERSVentures @Accel
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I asked 25 of the smartest investors I know what they consider GOOD and GREAT growth rates by company stage. Here’s what I learned 🧵👇
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En stream et #Starlink qui est down super Elon ! 😕 #starlinkdown
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⚡ Critical Internet #outage detected: #Starlink in #England since 14:00, impacting #London 🇬🇧 Live map and analysis 👉 internet.fing.com/provider/S… Retweet if down for you too #Starlinkdown #Starlinkoutage #nointernet
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When I got into SaaS investing in 2008-2010 I’ve learned that fast-growing SaaS companies are valued at around 8-10x ARR. It took me a decade to realize that the formula is *actually* ARR x YY. RT if you’re getting it, comment if not. ;-)
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On it
$100B startup waiting to be built: Solve childcare for working parents.
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A founder dealing with VCs who still think of themselves as "operators":
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0/ Is there an Enterprise Margin Crisis? It's not uncommon to see software startups with surprisingly low margins (30-40%). We believe there is a broader trend going on here, which I explore in this thread.
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Congratulations to all the 2019 Enterprise Awards Winners & Finalists last night #19EAwards "The Oscars for Technology Entrepreneurs" Thanks to our sponsors @blue_prism @AlbionVC @Investec @ScaleupGrowth @silverpeakib @SmithWilliamson @TechMarketView @brands2life @WithersTech
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Enterprise security teams spend an average of 36% of their time manually producing reports, yet 89% of these organisations have concerns on lack of #visibility and insight into trusted data panaseer.com/2019/06/07/visi… #CyberSecurity
Fintech - the time has finally come ✔️📩 All details here bit.ly/joinfl 🤓💥
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Season 3 of "Reich". People are naming their kids Ady and Führer, breaker of unions, bringer of lebensraum. All the fanboys are getting those natty Eagle tats. "Don't be a sheep, be an eagle." Season 8: "I CAN'T BELIEVE WHAT THEY DID WITH HITLER'S CHARACTER ARC" #GameofThrones
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