US macroeconomic data delivered an unexpected shock in July, breaking sharply with the positive surprises of recent months. Economists expected 80,000 job creations, yet the economy shed 23,000 positions, a figure amplified by downward revisions of the previous two months that removed an additional 103,000 jobs. Despite this deterioration, the unemployment rate fell to 4.1 %, a statistical paradox that reflects a labor market in transition. And as often happens on Wall Street, bad news became good news: equities reacted positively and yields declined, as investors interpreted the report as easing pressure on the Federal Reserve. A policy hold for the September meeting is once again the dominant scenario, whereas a rate hike had previously been anticipated.
The second-quarter earnings season is now drawing to a close after several intense weeks of corporate releases. The key takeaway comes from the United States, where corporate profits posted exceptional growth. Sectors directly or indirectly linked to artificial intelligence played a major role in this momentum. Massive investments in AI are clearly flowing through the US economy, supporting both tech giants and more traditional companies benefiting from productivity gains. Meanwhile, Europe is not lagging behind: several indices reached record highs this week, reflecting broad-based optimism despite macroeconomic uncertainties.
For investors, this environment creates a mixed but opportunity-rich landscape. The cooling labor market may offer monetary relief, while strong earnings, particularly in AI-related sectors, continue to support valuations. The central question becomes one of durability: is the weakness in employment data the beginning of a deeper slowdown or merely a temporary adjustment? And can the exceptional corporate earnings in the US be sustained in an environment where financial conditions may shift? In a market where macro and micro signals intersect, investors will need to navigate carefully to capture structural trends while remaining attentive to emerging risks.