Does Weak US July Jobs Data Signal Recession? BlackRock: AI Is Making Employment Metrics Obsolete, Rate Hikes 'Meaningless'

The US non-farm payroll data for July came in unexpectedly weak, leading markets to widely interpret it as a precursor to economic slowdown. However, Rick Rieder, Chief Investment Officer of Global Fixed Income at BlackRock (BLK-US), offers a different perspective, suggesting that the true driver behind soft employment figures is actually a productivity revolution fueled by artificial intelligence (AI), which is fundamentally transforming how labor markets operate.

Rieder, once considered a contender for the chairmanship of the US Federal Reserve (Fed), directly challenges blind spots in traditional macroeconomic frameworks. He emphasizes that investors and policymakers should no longer mechanically equate weak employment numbers with overall economic deterioration.

Rieder analyzes that three forces are simultaneously at play: the widespread penetration of AI into workplaces, corporate pursuit of extreme operational efficiency, and a significant decline in immigration leading to a shrinking available labor force. Together, these factors are drastically reducing the usefulness of non-farm payrolls as an economic health indicator.

He believes that declining employment figures actually reflect US companies discovering an operating model where they can "increase output without expanding headcount."

This view is not mere speculation; data provides tangible support. Over the past sixteen quarters, US labor productivity has declined only once, indicating a clear improvement in overall efficiency compared to the 2010s.

Research from 22V Research also indicates that approximately 25 companies within the S&P 500 index have already quantified AI's contribution to their profits, achieving an average 180 basis point improvement in profit margins.

Notably, the profit-enhancing effects of AI are not limited to the tech sector. A US waste management company revealed that its implemented "smart truck" system, through service optimization, route scheduling, and cost control, contributes over $300 million annually to EBITDA (earnings before interest, taxes, depreciation, and amortization).

Similarly, insurance brokerage and consulting firm Willis Towers Watson stated that through process automation, it expects to achieve $400 million in cost savings.

Beyond reinterpreting non-farm data, Rieder also questions the effectiveness of monetary policy.

He bluntly states that raising rates again "doesn't make much sense" and admits, "I don't think adjusting the overnight federal funds rate will really solve the problem. We've seen this kind of situation before."

In his view, if current inflation pressures stem primarily from structural factors such as AI reshaping production structures and immigration policies altering labor supply, then traditional rate-hiking tools—which work by suppressing aggregate demand—are likely to become increasingly ineffective.

Therefore, he argues that rather than continuing monetary tightening, easing regulations, reforming housing permit systems, and implementing student loan forgiveness through fiscal measures might be more effective in alleviating inflationary pressures.

This macroeconomic outlook is also reflected in Rieder's asset allocation strategy. He reveals that his fund currently favors European fixed-income assets, emerging market assets, and securitized assets, while showing little interest in US investment-grade corporate bonds, frankly stating they currently "lack appeal," primarily due to pressure from a large volume of new supply that could suppress price performance.