Alex Imas: The human-only economy is shrinking, automation will redefine job structures, and we need better data for economic predictions | Dwarkesh

Automation's rise could shrink the human-only economy, but human touch remains valuable in certain sectors.

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Add us on Google by Editorial Team Jun. 4, 2026

Key takeaways

• Humans will continue to be valuable in sectors where their involvement adds intrinsic value to the product.
• As automation advances, the human-only economy is expected to become a smaller portion of the overall economy.
• Forecasting individual economic outcomes can be unreliable; aggregate prediction markets may offer better insights.
• Economic predictions often fail due to structural changes that lead to unexpected job creation.
• There is a critical need for comprehensive data on consumer demand elasticities and job creation/destruction.
• Labor share refers to the portion of the economy’s output paid to workers, while capital share goes to capital owners.
• Labor and capital are complementary in production, both necessary to create value.
• Some goods may eventually have a capital share approaching one due to full automation.
• Jobs consist of tasks, some automatable and others requiring human interaction.
• Consumers may pay more for services where human interaction is preserved despite automation.
• The relationship between labor and capital in production impacts labor share and capital dynamics.
• Automation trends may lead to a future where certain goods are fully automated, reducing the need for human involvement.
• Understanding job structures and the potential for automation is essential for analyzing labor market dynamics.

Guest intro

Alex Imas is the Alvin H. Baum Professor of Economics and David G. Booth Faculty Fellow at the University of Chicago Booth School of Business. His research spans behavioral economics, market design, and decision-making, with work on how people respond to incentives and uncertainty.

The ongoing value of human involvement in the economy

• Humans add value in sectors like performance arts and hospitality, where their presence enhances the experience.

• There’s these other things which you point out where well we actually maybe in some cases do want the ballerina or the barista or whatever to be a human that’s part of the value of going to a cafe or a performance…

  — Alex Imas

• Despite automation, certain sectors will continue to rely on human involvement as a key component of their value proposition.
• The human-only economy is likely to shrink as automation becomes more prevalent.

• Isn’t it intrinsic that like the human only economy will become a smaller and smaller share…

  — Alex Imas

• Understanding machine-only versus human-involved economies is crucial for future economic planning.
• The ongoing value of human involvement challenges the notion of a fully automated economy.
• As automation advances, sectors that rely on human interaction will become more distinct.

The limitations of economic forecasting

• Individual economic forecasts are often unreliable due to their inability to account for collective intelligence.

• Rather than thinking about individual forecasts like what me and phil are gonna do rather than looking at kind of basically generating prediction markets where you get aggregate forecast where you get like kind of wisdom of the crowd effects

  — Alex Imas

• Aggregate prediction markets can provide more accurate insights by leveraging the wisdom of the crowd.
• Economic predictions can fail when structural changes lead to unexpected job creation.

• What David Ricardo ended up missing is the fact that you know essentially you have these economics of structural change where basically everything that got automated became cheap people had more money to spend on things and then they started spending money on services

  — Alex Imas

• Historical economic theories often miss the dynamic nature of modern economies.
• Understanding the limitations of traditional economic predictions is essential for adapting to future changes.
• Collective forecasting methods may offer a more reliable approach to predicting economic outcomes.

The need for better economic data

• There is a significant gap in data on consumer demand elasticities and job creation/destruction.

• We don’t have any data on basically consumer demand elasticities we don’t know what they are we don’t know we’re not really tracking what jobs are getting created or destroyed

  — Alex Imas

• A ‘Manhattan project for data’ is needed to address these gaps and improve economic predictions.
• Better data would enable more accurate predictions and informed policy-making.
• Understanding consumer demand elasticities is crucial for assessing economic resilience.
• Tracking job creation and destruction is essential for understanding labor market dynamics.
• Comprehensive economic data is vital for navigating the challenges of an automated economy.
• Addressing data gaps can lead to more effective economic policies and strategies.

Labor and capital dynamics in production

• Labor share refers to the portion of economic output paid to workers, while capital share goes to capital owners.

• The whole economy like the total sum of goods and services sold is either paid out to people in wages… or it’s paid out to capital… 60 something percent of the economy… gets paid out to humans and wages and the other 40% gets paid out to people who own machines and land

  — Alex Imas

• Labor and capital are complementary in production, both necessary to create value.

• If labor and capital are complements you need both to do anything it kinda makes sense that you’d kind of need to pay both of them to get something done

  — Alex Imas

• Understanding the relationship between labor and capital is crucial for analyzing economic distribution.
• Automation trends may shift the balance between labor and capital shares.
• Some goods may eventually have a capital share approaching one due to full automation.
• The dynamics of labor and capital impact economic structures and labor market outcomes.

The future of automation and labor

• Jobs consist of tasks, some of which can be automated, while others require human interaction.

• …you could have a job and a service or a good be a product of different types of tasks and you can automate a ton of those tasks…

  — Alex Imas

• Consumers may be willing to pay more for services where human interaction is preserved.

• …people are willing to pay more for the human to stay in the loop in the job…

  — Alex Imas

• Understanding job structures is essential for analyzing the potential for automation.
• Automation may lead to a future where certain goods are fully automated, reducing the need for human involvement.
• The balance between automated and human tasks will shape the future labor market.
• Consumer preferences for human interaction will influence the pace and extent of automation.

The impact of automation on economic structures

• Automation trends suggest a shift towards fully automated supply chains for some goods.

• There will be at least some goods whose network adjusted capital share goes to one… the whole supply chain can be automated and there’s no part in it that we care intrinsically about having a human do

  — Alex Imas

• This shift may lead to changes in labor and capital dynamics within the economy.
• Understanding the implications of full automation is crucial for future economic planning.
• The potential for fully automated supply chains highlights the need for adaptable economic policies.
• Automation will likely redefine the roles of labor and capital in production.
• The future landscape of production may see reduced human involvement in certain sectors.
• Economic structures will need to adapt to the realities of an increasingly automated world.

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