Fed's Kashkari says inflation is 'still too high' even after softer-than-expected PCE data, labor market is 'pretty good'

The Federal Reserve President, Neel Kashkari, indicated that price growth remains a concern despite the August personal consumption expenditures price index coming in cooler than economic forecasts. Kashkari stated that inflation is still too high, noting that while the core inflation measure came in lower than forecasted at 3% annually, it has been elevated for over five years. He also mentioned that other consumer spending and GDP data suggested the economy is resilient.
Kashkari noted that the Fed recently implemented its first interest rate hike in three years to control price growth, with further hikes potentially anticipated. Regarding the labor market, Kashkari assessed it as "pretty good" but not "great," acknowledging that private payrolls expanded more than predicted in September. Furthermore, he raised his estimate for the neutral funds rate to 3.25%, suggesting this elevated rate is likely temporary due to demand for investment capital related to the artificial intelligence boom.
Kashkari expressed concern that the expected productivity gains from the AI buildout may not materialize as anticipated, potentially leading to malinvestment if corporate investment does not yield expected productivity improvements. He suggested the AI industry needs to learn greater efficiency in resource allocation under current monetary policy.

* Minneapolis Federal Reserve President Neel Kashkari stated price growth remains a concern following the release of August personal consumption expenditures price index data.
* The core version of the CPI came in lower than economists forecasted at 3% on an annual basis.
* Kashkari stated inflation is still too high and has been elevated for more than five years.
* Other economic data regarding consumer spending and gross domestic product indicated the economy is resilient.
* The Federal Reserve issued its first interest rate hike in three years this month to curb higher-than-preferred price growth.
* Kashkari assessed the labor market as "pretty good" but not "great."
* Management services firm ADP announced private payrolls expanded more than economists predicted in September.
* Kashkari raised his estimate for the neutral funds rate to 3.25%.
* The elevated neutral rate is attributed, in part, to demand for investment capital amid the artificial intelligence boom.

The dynamic presented involves a tension between lagging inflation data and forward-looking structural concerns regarding economic performance driven by technological shifts. The core conflict lies in calibrating monetary policy against evolving realities: recent moderation in headline inflation versus persistent underlying inflationary pressures, and balancing short-term stability against long-term productivity gains spurred by the AI investment cycle. Kashkari’s framework suggests that current economic resilience may mask deeper issues related to misallocation of capital, a concept rooted in the observation that investment outcomes do not always align with assumptions.
The pattern observed is one where acknowledged macroeconomic stability (resilience, moderate inflation) coexists with deep structural uncertainty regarding the benefits of recent investment waves. The focus shifts from managing immediate inflation to assessing whether current investment patterns—specifically in AI—will translate into the promised productivity enhancement or if they represent malinvestment. This invites scrutiny on whether established economic metrics adequately capture the downstream consequences of technological disruption versus the actual efficiency gains realized by capital deployment.
The implication is that relying solely on traditional measures may obscure systemic risks related to asset bubbles fueled by speculative investment in nascent, high-growth sectors. The necessary analytical pivot is to move beyond assessing if rates are sufficient for inflation control, toward analyzing the real-world efficacy of the assumed productivity dividend from AI spending and ensuring that this capital deployment results in broadly beneficial economic outcomes rather than concentrated, unsustainable growth. What metrics are missing from the current framework to properly assess whether the acknowledged "resilience" is sustainable or merely deferred adjustment?