Edmund Phelps: Insights on Productivity Fluctuations

Edmund Phelps, who passed away recently at 92, was awarded the Nobel Prize in economics in 2006 for his contributions to understanding unemployment, inflation, and expectations. One of his more intriguing concepts—the productivity business cycle—hasn’t quite garnered the attention it merits.

It’s unfortunate, really, because Phelps’ theories are precisely what we should be examining right now.

The U.S. economy finds itself at a peculiar junction. Productivity is on the rise, the labor market is notably tight, yet labor force growth is stagnant. Conventional thought suggests that a tight labor market alongside stagnant growth is a sign that the economy may falter. This viewpoint fuels arguments for loosening immigration policies and increasing foreign worker visas. Business groups consistently urge the government for a larger workforce.

However, Phelps’ analysis suggests a different narrative. If productivity is increasing without a preceding employment surge, we might be witnessing a rare cycle that could actually yield benefits.

The core of Phelps’ innovative theory, developed in the late 20th century, challenges assumptions in a straightforward yet counterintuitive way. Productivity booms don’t necessarily kick off when data indicates gains; they often start earlier when entrepreneurs begin to foresee future improvements.

When companies pursue new technological opportunities, they start valuing key business assets like a skilled workforce, equipment, customer relations, and organizational effectiveness. In anticipation of productivity gains, businesses are hiring, training, and investing, igniting real economic activity—jobs increase, wages climb, and asset prices rise.

Nonetheless, even if productivity does eventually rise, it doesn’t guarantee a second boom. Often, the jobs and investments that validate those gains may already exist. The future could be described as pre-capitalized, where actual productivity gains signify the end of a boom rather than the start of a new phase.

The Great Depression as a Case Study

This encapsulates Phelps’ essential insight. Expected productivity gains can indeed be expansive, but if growth is already anticipated, it may actually keep inflation down—not due to any negative connotation of productivity but because the economy has adjusted to these expectations.

Phelps pointed to the 1930s as a historical example. The productivity surge of that decade—characterized by electrification, automobiles, and modern manufacturing—did not trigger a conventional economic expansion. Instead, these gains were partly the result of delayed investments from the 1920s. Economies were built around expectations of future productivity, and when profits were finally realized, they did not shield us from the Great Depression.

Phelps acknowledged the role of certain monetary and regulatory policies in exacerbating the Great Depression. Yet, he aimed to explore deeper mechanisms that lead to economic cycles. Productivity may manifest after the economy has already committed to the investments and employment that it expects to justify.

This complexity often gets overshadowed in discussions about economic trends. Generally, increased productivity is viewed solely as a positive development, associated with higher output, lower inflation, and greater growth potential. These are beneficial attributes, of course. But Phelps recognized the situation was more nuanced, emphasizing that timing and expectations are critical factors. The gap between expected and realized productivity can dictate whether a boom persists or fades.

Interestingly, today’s economy may have addressed these nuances in unexpected ways. One aim seems to be preventing the anticipated employment boom from occurring altogether.

The Current Labor Market and Phelps’ Theory

With strict immigration enforcement and a slowing population growth rate, the labor force’s expansion is heavily constrained. Companies eager to grow face hiring challenges, limiting their ability to invest for future productivity. As labor markets tighten amid stagnant growth, U.S. firms confront a notable limitation: there simply aren’t many unemployed individuals to hire from.

This radically alters the productivity cycle.

Unless a significant overemployment phase occurs, companies are focused on reducing redundant positions rather than chasing additional hires following productivity gains. Businesses still aspire to enhance productivity to manage costs and boost profits, but these improvements emerge from a labor-scarce environment, not a typical boom scenario.

This unusual combination—rising productivity amidst labor shortages—indicates that the situation isn’t just a demand-side success influenced by relaxed policies. It’s structural. Companies are pushed toward innovation because they can’t find ways to sidestep their limitations. Thus, when productivity increases, it won’t necessarily lead to the harsh adjustments typically seen after economic booms.

This backdrop sets the stage for discussions around the future Federal Reserve leadership, particularly regarding perspectives like those of Kevin Warsh on artificial intelligence and monetary policy. Warsh posits that AI signifies a genuine supply-side productivity shock rather than mere demand-pull inflation disguised as growth. If he’s correct, financing growth through low interest rates could reflect an acknowledgment of improved economic capacity rather than merely encouraging inflation.

Under Phelps’ framework, policy should aim to distribute productivity gains across the economy without triggering unnecessary contractions. In this scenario, interest rate cuts aren’t simply a withdrawal of funds; they may serve as a means to ensure companies don’t overreact to realized productivity gains by sharply curtailing hiring and investment.

This perspective also sheds light on why a tight labor market might prevent a recession rather than induce one. Generally, productivity growth follows periods of excessive expansion, which can introduce risks. Businesses often hire in anticipation of a boom, and when productivity hits, they find they don’t need as many workers, leading to layoffs, diminished consumer confidence, and reduced spending—elements that can escalate recession risks.

But when overemployment isn’t an option, the adjustment may be significantly less severe. Wages remain high due to a labor shortage, preserving consumer spending. Productivity improvements bolster profit margins without triggering mass layoffs. This dynamic allows growth to persist without falling into the typical deflationary aftermath of overstretched economic booms.

Of course, there are risks. This time, the excess investment might not target labor directly; it could focus on infrastructure like data centers, software, or artificially inflated stock prices. Even if the Phelpsian cycle doesn’t play out through job creation, it may manifest in capital markets. Ultimately, the issue isn’t whether productivity is good or bad; it’s that the economy seems overcapitalized relative to future productivity anticipations.

Phelps’ passing leaves us with one of the few economists willing to thoughtfully consider how the economic structure shapes growth. His insights indicate that the current interplay between a tight labor market and accelerating productivity may not signal an impending crisis but instead allow for rare productivity cycles that yield sustainable growth without the usual economic hangovers.