Harvard's Jason Furman: SCOTUS tariff ruling ends Trump’s ability to arbitrarily adjust tariffs

Economic Implications of the Supreme Court Ruling on Tariffs & AI’s Impact on Employment

Key Concepts:

• Section 122 Tariffs: A provision allowing the President to impose tariffs if there’s a significant balance of payments deficit.
• Section 301 & 232 Tariffs: Tariffs imposed based on unfair trade practices (Section 301) and national security threats (Section 232).
• Balance of Payments Deficit: When a country imports more goods and services than it exports.
• Reshoring: Bringing manufacturing and jobs back to the United States.
• Flat Prior: A state of minimal pre-existing belief, making one highly susceptible to new information.
• Volatility: The degree of variation of a trading price series over time.

I. Supreme Court Ruling on Presidential Tariffs

The discussion centers on the recent Supreme Court ruling concerning President Trump’s tariffs, specifically those implemented under Section 122. Jason Furman, former Chair of the Council of Economic Advisers, expressed satisfaction with the ruling, characterizing it as upholding the “rule of law” and establishing a “constraint on the variants we’ve faced.” He argues the ruling limits the President’s ability to arbitrarily impose and adjust tariffs based on external pressures, such as appeals from local officials or trading partners (specifically mentioning Canada).

The Court’s decision impacts the President’s tariff authority in several ways. While the President can still utilize Section 122, the maximum tariff rate is capped at 15% for 150 days. However, Furman points out that even this application is legally questionable, as the administration’s own lawyers conceded in court that the US does not currently have a significant balance of payments deficit – the condition under which Section 122 is intended to be used. This suggests the potential for further legal challenges, potentially reducing the President’s Section 122 authority to zero.

II. Remaining Tariff Levers & Economic Impact

Despite the limitations imposed by the Supreme Court ruling, the President retains the ability to impose tariffs through Section 301 (unfair trade practices) and Section 232 (national security threats). These sections are considered legally stronger but require a more extensive case-building process, making rapid, arbitrary adjustments more difficult. Furman notes that these sections have primarily been used against China to date and are less likely to be applied to countries like Canada.

The economic impact of these tariffs is estimated to be in the “tens of billions of dollars, maybe low $100 billion range.” Furman suggests the impact is “chipping away” at the economy, but the extent depends on the President’s future actions. He acknowledges the uncertainty surrounding whether existing investment commitments from other countries will be fulfilled, particularly in light of the changing tariff landscape. Affordability is a key concern, with tariffs being linked to increased costs for consumers.

III. Evaluating the Objectives & Outcomes of Tariffs

Furman critically assesses the three stated objectives behind the tariffs: increasing manufacturing jobs, reducing the US trade deficit, and raising revenue. He argues that the tariffs have failed to achieve the first two objectives. Manufacturing jobs have been lost since the tariffs were implemented, due to increased input costs, economic damage, and harm to American exports. The US trade deficit has remained unchanged, aligning with economic predictions.

However, Furman concedes that the tariffs have successfully raised revenue – approximately the “100th worst way of raising revenue” he could imagine. He acknowledges this revenue generation could be useful, especially given the political difficulty of alternative revenue-raising measures. He finds this a somewhat surprising outcome given the Republican administration’s stance.

IV. The Impact of AI on Employment & Market Volatility

The conversation shifts to the potential impact of Artificial Intelligence (AI) on employment. Furman expresses surprise at the market’s strong reaction to a recent report highlighting concerns about potential job displacement due to AI. He emphasizes that the current economic climate is characterized by a high degree of uncertainty, making the market particularly sensitive to new information.

He introduces the concept of a “flat prior,” explaining that a lack of strong pre-existing beliefs makes the market highly susceptible to even small pieces of information. While the report didn’t fundamentally change his own view, Furman acknowledges that increased market volatility is a rational response to the uncertainty surrounding AI’s impact on the future of work. He suggests that a degree of volatility is to be expected in such an uncertain environment.

V. Notable Quotes

• “It felt like rule of law. It felt like a constraint on the variants we’ve faced.” – Jason Furman, on the Supreme Court ruling.
• “It is absolutely true [tariffs are raising revenue]. It’s about the 100th worst way of raising revenue that I could possibly think of.” – Jason Furman, on the revenue-generating aspect of tariffs.
• “We’re in a moment where the right way to think about the world is not to be certain. It’s to be much, much more uncertain than we’ve been.” – Jason Furman, on the current economic climate.

Conclusion:

The discussion highlights the significant implications of the Supreme Court’s ruling on presidential tariff authority, emphasizing the limitations it places on the President’s ability to unilaterally impose trade barriers. While the President retains some tariff levers, their application is subject to legal scrutiny and a more deliberate process. Furman’s analysis suggests the tariffs have largely failed to achieve their stated economic objectives, with the exception of revenue generation. Finally, the conversation underscores the growing uncertainty surrounding the impact of AI on employment and the resulting market volatility, emphasizing the need for a cautious and adaptable approach to economic forecasting.