The macro impact of AI, with special guest Steve Friedman (April 20, 2026)

Market Matters from New York Life Investment Management23mApril 20, 2026

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AI-Generated Summary

In this episode of Market Matters, Julia Herman and Michael Logalbo are joined by senior macroeconomist Steve Friedman to explore the macroeconomic implications of artificial intelligence. The discussion centers on how AI is reshaping productivity, corporate profitability, and labor markets, with a focus on the tension between inflationary and deflationary forces. While AI has already driven productivity gains at the firm level, these benefits have not yet translated into broad macroeconomic gains. The team argues that AI's near-term impact is likely inflationary due to surging investment in infrastructure, rising input costs, and strong demand from AI-driven equity booms. Steve Friedman emphasizes that historical innovation cycles show technology disrupts labor markets but ultimately expands employment through new roles, though the speed of AI adoption may create near-term job displacement risks. He cautions against assuming AI will automatically lead to disinflation, noting that productivity gains may boost wages and aggregate demand, while policy responses—both fiscal and monetary—could offset extreme outcomes. The episode concludes with a strategic investment outlook: high conviction in AI-related infrastructure and hyperscalers in the near term, with caution around speculative bets on software equities amid recent market volatility. Key takeaways include: 1) AI’s near-term macro impact is likely inflationary due to investment booms and input cost pressures; 2) Labor market disruption may be uneven, with entry-level workers facing headwinds; 3) Policy—especially monetary and fiscal responses—will be critical in moderating AI’s economic effects; 4) Productivity gains may not immediately lower prices if firms hoard profits for reinvestment; 5) The demand elasticity of goods and services will determine whether AI-driven cost reductions lead to job losses or expanded employment. The overall tone is cautiously optimistic, grounded in historical precedent and macroeconomic realism.

Key Takeaways
1

AI’s near-term macro impact is likely inflationary due to surging investment in infrastructure and rising input costs.

2

Labor market disruption from AI may be uneven, with entry-level workers facing headwinds despite long-term job creation potential.

3

Productivity gains from AI may not translate into lower prices if firms retain profits for reinvestment rather than passing savings to consumers.

4

Policy—both fiscal and monetary—will play a critical role in buffering the economy against extreme AI-driven scenarios.

5

The demand elasticity of goods and services will determine whether AI leads to job losses or expanded employment.

…and 3 more takeaways available in PodZeus

Chapters
0:00
2 min

The Macro Shift Beneath the Headlines

The episode opens with a broad overview of the three major disruptions affecting early 2026 markets: the Iran oil shock, credit quality concerns, and shifting sentiment around AI. The focus is on AI’s potential to reshape the global macroeconomy, setting the stage for a deep dive into its multifaceted impacts.

2:00
3 min

AI’s Inflationary Near-Term Impact

We expect this dynamic to influence a whole range of macro themes, including policymaking itself, market price action, corporate profit margins, and outcomes for workers and households along the way.

Highlight
5:00
5 min

Historical Lessons from Innovation Cycles

Every innovation cycle has disrupted the labor market. Each new technology eliminated many existing job categories. But importantly, total employment did not collapse. This is because new technologies created new jobs.

Highlight
10:00
5 min

Is AI Different? The Speed and Scope of Disruption

It's possible that in the near term, some jobs may disappear before new types of jobs that support an AI-based economy are created.

Highlight
15:00
5 min

The Policy Paradox: Can AI Drive Rate Cuts?

I'm skeptical that he would succeed in convincing majority of committee members to cut rates anytime soon on a productivity narrative.

Highlight
High-Impact Quotes
I'm skeptical that he would succeed in convincing majority of committee members to cut rates anytime soon on a productivity narrative.
Steve Friedman15:14
Viral: 88.0
Every innovation cycle has disrupted the labor market. Each new technology eliminated many existing job categories. But importantly, total employment did not collapse. This is because new technologies created new jobs.
Steve Friedman5:53
Viral: 85.0
The Federal Reserve is unlikely to cut rates soon based on AI-driven productivity, given current inflationary pressures and higher equilibrium rates.
Steve Friedman22:00
Viral: 82.0
Speakers

Hosts

Julia HermanMichael Logalbo

Guest

Steve Friedman
Topics Discussed
AI and Labor Market Disruption90%AI-Driven Inflationary Pressures88%Historical Innovation Cycles85%Monetary Policy and AI82%Corporate Profitability and AI80%Investment Strategies for AI78%Productivity Gains and Distribution75%Demand Elasticity and AI70%
People & Brands

Steve Friedman

person

15xPositive

Julia Herman

person

12xNeutral

Michael Logalbo

person

10xNeutral

New York Life Investment Management

organization

8xNeutral

Federal Reserve

organization

6xNeutral

Kevin Warsh

person

3xNeutral

Greenspan era

other

2xNeutral

Makai Shields

organization

2xNeutral

Iran oil shock

other

2xNeutral

Indeed

organization

1xNeutral

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