# Dwarkesh Podcast on scarcity, work and wealth after AGI [Canonical reading](https://escapemeridian.com/readings/dwarkesh-podcast-on-scarcity-work-and-wealth-after-agi-4d41c6c9) Dwarkesh Podcast published this conversation on June 4, 2026. Dwarkesh Patel asks Alex Imas and Phil Trammell what economics can say about scarcity, jobs and the distribution of wealth after AGI. Imas argues that individual forecasts are unreliable; economists should map possible scenarios and gather better data, including on what consumers will pay for human involvement. He calls goods and services whose value includes human involvement the “relational sector.” Trammell argues that wider variety in automated goods could keep people spending beyond that sector, while saying the outcome could go either way. The speakers examine whether automation could displace workers before creating enough wealth to offset the loss, and how countries outside AI production might gain. They discuss indexing the economy as one possible route, while noting that concentrated returns could make it difficult. In their closing exchange, Patel argues that broad access to AI could make broad prosperity more likely; Trammell raises a safety concern about commoditized frontier AI models. The conversation presents scenarios, not observed outcomes, and leaves major questions open. Headline and summary by Escape Meridian, prepared by Luna from the attributed source. A source check is not independent confirmation of the source’s claims. ## Original source Dwarkesh Podcast · Transcript Original source date: Jun 4, 2026 (2026-06-04T16:14:49.000Z). Date basis: Date supplied by the publisher’s feed. Added to Escape Meridian: 2026-11-06T21:08:23.818Z. First observed: 2026-09-23T05:45:03.841Z. Retrieved: 2026-10-30T19:37:51.735Z. - [Alex Imas and Phil Trammell – What remains scarce after AGI?](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Limits Text as retrieved on October 30, 2026; originally published June 4, 2026. The conversation presents competing scenarios and forecasts, not observed outcomes; the speakers identify substantial gaps in data and unresolved questions. The transcript is publisher-provided; no media item was verified. ## Open question What evidence would show whether people’s demand for human involvement or new uses for automated goods will shape labor’s share of income? ## Source-stated Imas argues that economists should map scenarios and collect better data rather than rely on individual forecasts. > What is really useful is to think about the potential scenarios, map them out, and say what dimension of scarcity will generate each scenario. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Imas defines the relational sector as goods and services whose value includes human involvement. > the relational sector, which is defined as services and goods where the fact that a human was in the loop is part of the value of that product. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Trammell predicts that increasing variety in automated goods could prevent consumers from becoming satiated, while saying the outcome could go either way. > Likewise, that’s my central prediction about how the future unfolds, though it could go either way. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Imas says the speakers lack data on consumer demand elasticities and on jobs created or destroyed. > We don’t have data on consumer demand elasticities. We don’t know what they are. We’re not really tracking what jobs are getting created or destroyed. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Trammell says he would prioritize indexing for developing countries, but would not rely on it alone. > I would prioritize trying to index, just given how fast AI could hit the world. But I definitely wouldn’t just rely on that. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Patel argues that widely accessible AI could make broad prosperity more likely, while Trammell raises a safety concern about commoditized frontier models. > I think AI will be much more popular and, more importantly, will be much more likely to lead to broad increases in prosperity if it is as hard to capture the gains of AI as it is to capture the gains of electrification. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source and contributor context Dwarkesh Podcast · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Artificial general intelligence The idea of AI with broad problem-solving, creativity and adaptability across different tasks. - [Definition reference](https://developers.google.com/machine-learning/glossary#artificial-general-intelligence) ## Frontier model One of the most capable AI models available at a given time; the set shifts as models improve. - [Definition reference](https://www.gov.uk/government/publications/frontier-ai-capabilities-and-risks-discussion-paper) ## Dwarkesh Podcast Dwarkesh Podcast features long conversations with researchers, builders and thinkers about technology, history and the future. - [Explore this context](/entities/dwarkesh-podcast) - [Reference](https://www.dwarkesh.com/) ## Dwarkesh Patel Dwarkesh Patel hosts the Dwarkesh Podcast, asking researchers and other guests to explain and defend their ideas. - [Explore this context](/entities/dwarkesh-patel) - [Reference](https://www.dwarkesh.com/about) - [Reference](https://www.dwarkesh.com/) ## Editorial provenance Version 1. Publication ID: 970e1be0-d6a4-8fe5-5ff9-f68dc25cac63. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-06T21:03:52.411Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_screen. Observation: dbf249249be8fdc7a11fa73396e45fd6593046d278e02dc3601fbcbddee58ee5. Source text hash: d83d7da136961f4278525b48c4a56de5e5f69cc6a8b8bef7edff18d69e1ed832. ## Revision and source-check history ### Version 1 — 2026-11-06T21:08:23.818Z Dwarkesh Podcast published this conversation on June 4, 2026. Dwarkesh Patel asks Alex Imas and Phil Trammell what economics can say about scarcity, jobs and the distribution of wealth after AGI. Imas argues that individual forecasts are unreliable; economists should map possible scenarios and gather better data, including on what consumers will pay for human involvement. He calls goods and services whose value includes human involvement the “relational sector.” Trammell argues that wider variety in automated goods could keep people spending beyond that sector, while saying the outcome could go either way. The speakers examine whether automation could displace workers before creating enough wealth to offset the loss, and how countries outside AI production might gain. They discuss indexing the economy as one possible route, while noting that concentrated returns could make it difficult. In their closing exchange, Patel argues that broad access to AI could make broad prosperity more likely; Trammell raises a safety concern about commoditized frontier AI models. The conversation presents scenarios, not observed outcomes, and leaves major questions open. ## Original source Dwarkesh Podcast · Transcript Original source date: Jun 4, 2026 (2026-06-04T16:14:49.000Z). Date basis: Date supplied by the publisher’s feed. Added to Escape Meridian: 2026-11-06T21:08:23.818Z. First observed: 2026-09-23T05:45:03.841Z. Retrieved: 2026-10-30T19:37:51.735Z. - [Alex Imas and Phil Trammell – What remains scarce after AGI?](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Limits Text as retrieved on October 30, 2026; originally published June 4, 2026. The conversation presents competing scenarios and forecasts, not observed outcomes; the speakers identify substantial gaps in data and unresolved questions. The transcript is publisher-provided; no media item was verified. ## Open question What evidence would show whether people’s demand for human involvement or new uses for automated goods will shape labor’s share of income? ## Source-stated Imas argues that economists should map scenarios and collect better data rather than rely on individual forecasts. > What is really useful is to think about the potential scenarios, map them out, and say what dimension of scarcity will generate each scenario. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Imas defines the relational sector as goods and services whose value includes human involvement. > the relational sector, which is defined as services and goods where the fact that a human was in the loop is part of the value of that product. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Trammell predicts that increasing variety in automated goods could prevent consumers from becoming satiated, while saying the outcome could go either way. > Likewise, that’s my central prediction about how the future unfolds, though it could go either way. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Imas says the speakers lack data on consumer demand elasticities and on jobs created or destroyed. > We don’t have data on consumer demand elasticities. We don’t know what they are. We’re not really tracking what jobs are getting created or destroyed. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Trammell says he would prioritize indexing for developing countries, but would not rely on it alone. > I would prioritize trying to index, just given how fast AI could hit the world. But I definitely wouldn’t just rely on that. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source-stated Patel argues that widely accessible AI could make broad prosperity more likely, while Trammell raises a safety concern about commoditized frontier models. > I think AI will be much more popular and, more importantly, will be much more likely to lead to broad increases in prosperity if it is as hard to capture the gains of AI as it is to capture the gains of electrification. - [Supporting source](https://www.dwarkesh.com/p/alex-imas-phil-trammell) ## Source and contributor context Dwarkesh Podcast · Publisher The publisher is identified here. No individual author has been inferred. ## Source media Media retrieval status: unchecked. ## Terms and references Reference context selected by Escape Meridian; separate from source evidence. Entity mentions do not establish authorship, involvement or endorsement. ## Artificial general intelligence The idea of AI with broad problem-solving, creativity and adaptability across different tasks. - [Definition reference](https://developers.google.com/machine-learning/glossary#artificial-general-intelligence) ## Frontier model One of the most capable AI models available at a given time; the set shifts as models improve. - [Definition reference](https://www.gov.uk/government/publications/frontier-ai-capabilities-and-risks-discussion-paper) ## Dwarkesh Podcast Dwarkesh Podcast features long conversations with researchers, builders and thinkers about technology, history and the future. - [Explore this context](/entities/dwarkesh-podcast) - [Reference](https://www.dwarkesh.com/) ## Dwarkesh Patel Dwarkesh Patel hosts the Dwarkesh Podcast, asking researchers and other guests to explain and defend their ideas. - [Explore this context](/entities/dwarkesh-patel) - [Reference](https://www.dwarkesh.com/about) - [Reference](https://www.dwarkesh.com/) ## Editorial provenance Version 1. Publication ID: 970e1be0-d6a4-8fe5-5ff9-f68dc25cac63. Prepared by openai/gpt-6-luna; grounding review by anthropic/claude-opus-5.5. Source check: uncertain by anthropic/claude-opus-5.5 on 2026-11-06T21:03:52.411Z. This checks fidelity to the source, not whether its claims are independently true. Editorial selection: accept; reasons: bridge\_screen. Observation: dbf249249be8fdc7a11fa73396e45fd6593046d278e02dc3601fbcbddee58ee5. Source text hash: d83d7da136961f4278525b48c4a56de5e5f69cc6a8b8bef7edff18d69e1ed832. ### uncertain — 2026-11-06T21:03:52.411Z — anthropic/claude-opus-5.5 Publication: 970e1be0-d6a4-8fe5-5ff9-f68dc25cac63 attribution — pass: The reading correctly attributes the conversation to Dwarkesh Podcast, with host Dwarkesh Patel and guests Alex Imas and Phil Trammell. Each view is assigned to the speaker who expressed it. This is a single transcript, not a listing of other pieces. > Today I’m chatting with Alex Imas, who is Director of AGI Economics at Google DeepMind and Professor of Economics at the University of Chicago, and Phil Trammell summary — uncertain: The summary is faithful overall: Imas on scenario-mapping and data, the relational sector, Trammell on variety and his hedge, the messy middle, developing countries, and the closing commoditization exchange. However, 'indexing the economy' is central to the developing-country and wealth-access discussion and is not explained or defined on the page, so a non-specialist may not understand it. Smallest repair: add a plain gloss such as 'owning a broad slice of the stock market, including AI firms' or a term-library entry. 'Commoditized' could also use a tooltip. > One argument is just that it’s very hard to index the economy. date — pass: The reading says June 4, 2026, which matches the UTC day of originalPublished (2026-06-04T16:14:49Z). The modification timestamp equals the publication time. The evidence is a publisher transcript, not an archive copy. Forecasts are presented as the speakers' scenarios, and there is no hindsight framing. support — pass: Each claim is grounded in the transcript. Trammell's variety argument and hedge, Imas's data gaps, Trammell's prioritizing of indexing, and Patel's commoditization hope are all quoted or plainly stated. Trammell's safety concern also appears in the text. The summary's mention of willingness-to-pay data matches Imas's call for conjoint analysis. No invented benefits or costs. > For safety purposes, you might want fewer frontier companies so that each one has a buffer in case they want to slow things down to make things safer. media — pass: No media was selected (mediaId null), and no verified media candidates were supplied. The limitations disclose that no media item was verified. ## Recorded references Explicit citations in public readings and public file attachments to this reading. Shared topics are not citations. Other artifact types need an explicit reference adapter. No public references recorded here yet. [Reference data (JSON)](/readings/4d41c6c9cff3dd66572b1fe7f41a49e7903bc88a3f17cdcaff16336fc9f4fd02/references.json) ## Corrections and challenges [Send a correction or an opposing source](https://escapemeridian.com/corrections/) [JSON record](https://escapemeridian.com/readings/dwarkesh-podcast-on-scarcity-work-and-wealth-after-agi-4d41c6c9.json)