[crypto] Soft Jobs Data and Fed Hike Odds: Why the S&P 500 Gets More Time, Not a Free Pass₿ Crypto

Soft Jobs Data Buys S&P 500 Time, But AI Capex and Earnings Loom

U.S. employment cooldown eases Fed hike fears, yet market seeks deeper validation amid tech spending and margin scrutiny.

July 6, 2026, 03:39 PM827 words17 sourcesAI-Generated · Reviewed by editorial team
Soft Jobs Data Buys S&P 500 Time, But AI Capex and Earnings Loom

Photo: Pexels / Atlantic Ambience

Recent U.S. employment data, characterized by a deceleration in hiring, has tempered expectations for immediate Federal Reserve interest rate increases, providing the S&P 500 with a period of reprieve rather than a definitive all-clear. While the market initially reacted with a relief rally, the subsequent muted performance of the broader index suggests that investors are seeking further evidence of sustained economic health and earnings quality beyond just rate expectations [3].

June's nonfarm payrolls increased by a modest 57,000, with the unemployment rate ticking to 4.2% and average hourly earnings rising 0.3% month-over-month and 3.5% year-over-year [3]. This softer jobs report led to a significant repricing of Fed rate hike probabilities, with the CME FedWatch tool indicating a 46.8% chance of the Fed holding rates steady in mid-September, up from 35.8% the previous day [3]. However, despite this shift, the bond market continues to signal a hawkish outlook, with the 6-month Treasury yield rising to 3.97% and the 2-year Treasury yield surging to 4.14%, suggesting that market participants anticipate further rate hikes regardless of recent data [15]. Federal Reserve Chair Kevin Warsh has also indicated that the central bank has historically provided excessive forward guidance, potentially leading to less clarity from upcoming June meeting minutes [1].

The U.S. dollar experienced its most significant weekly decline since April following the employment report, falling 0.5% against a basket of major currencies [1]. However, the greenback showed modest strength on Monday, advancing 0.1% against its counterparts and posting gains against the Japanese yen, New Zealand dollar, Swiss franc, and South Korean won [2] [6]. This dollar rebound contributed to a retreat in gold prices on Monday, with spot gold decreasing 0.6% to $4,151.66 per ounce and gold futures slipping 0.7% to $4,167.29 per ounce, after rallying over 2% the previous week due to reduced rate hike expectations [2]. Meanwhile, the Japanese yen remained near a four-decade low against the dollar, trading around 161.57-161.82, driven by the substantial interest rate differential between the U.S. and Japan [1].

The S&P 500's reaction to the jobs data was nuanced; futures initially rose about 0.4% during Asian hours, but the cash index closed largely flat around 7,483, while the Dow Jones Industrial Average notched a record high [3]. This selective buying indicates that while rate relief is welcome, investors remain focused on earnings durability and the impact of significant AI infrastructure spending [3] [14]. RBC Capital, for instance, recently elevated its S&P 500 price objective to 8,150, citing robust earnings expansion and a healthy GDP environment [5]. Analysts project Q2 S&P 500 earnings to increase by 23.1% year-over-year, with sales up 12.3%, but warn that this growth is heavily tied to a few companies making staggering AI investments [14] [16].

The artificial intelligence sector continues to drive significant market activity, particularly among chip manufacturers and infrastructure providers. South Korea's KOSPI benchmark, despite a 0.5% decline on Monday, has surged approximately 86% year-to-date, largely powered by AI memory chip manufacturers [4]. SK Hynix, for example, saw its shares climb roughly 273% since January and is planning a $28 billion Nasdaq ADR offering to fund further AI chip expansion [9]. Samsung Electronics is projected to report an extraordinary 18-fold surge in Q2 operating profit to 86 trillion won ($56.35 billion), fueled by explosive demand for AI memory semiconductors [8]. Taiwan Semiconductor Manufacturing Co. (TSMC) is also benefiting, with Citi raising its price target ahead of Q2 earnings, anticipating diversified and sustainable AI semiconductor expansion [7]. Dell Technologies reported $16.1 billion in AI-optimized server revenue in fiscal Q1 2027, with a record $51.3 billion AI server backlog, indicating strong demand for complete AI systems beyond just chips [10]. Even Meta Platforms is making massive AI investments, with capital expenditure plans totaling $135 billion for 2026, nearly double its 2025 level, directed towards AI infrastructure and data center expansion [5]. However, some concerns persist, with Tether CEO Paolo Ardoino warning of four structural mismatches in AI infrastructure spending, including subsidized computing and hardware depreciation [18].

Beyond the AI focus, other market signals offer mixed insights. Tesla, despite beating Q2 delivery expectations with 480,126 vehicles delivered (an 18.3% surprise over consensus), saw its stock drop as much as 6.6% intraday, as investors shifted focus to margin visibility ahead of its July 22 earnings report [13]. Robinhood, a proxy for retail trading sentiment, flashed strength with June notional trading volumes of approximately $343 billion in equities, 274 million options contracts, and $14 billion in crypto, indicating a resurgence in retail risk appetite [11].

As the market navigates these dynamics, attention will shift to upcoming catalysts. The Federal Reserve's June meeting minutes, scheduled for release later this week, will be closely scrutinized for further insights into policymakers' stance on inflation and future rate decisions [1] [2]. Additionally, the ongoing earnings season will be critical, with investors seeking broad-based profit growth and clear guidance on how companies plan to manage AI capital expenditure and maintain margins in a still-tight labor market [3] [14].

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