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Post by : Rohit Dhiman
US companies are heading into the third-quarter earnings season with expectations of another strong increase in profits, led largely by businesses connected to artificial intelligence. The technology sector is expected to account for a major share of the projected growth, reflecting the expanding role of AI in corporate investment, computing infrastructure and the wider stock market. According to estimates compiled by LSEG, analysts expect earnings for companies in the S&P 500 to rise by approximately 31% year over year in the third quarter of 2026. Around two-thirds of this projected increase is expected to come from the technology sector, including major AI-related companies such as Alphabet, Amazon and Meta Platforms. The outlook highlights how closely the performance of the US stock market is becoming tied to the earnings of a relatively small group of technology companies.
The S&P 500 reached a record high during the week leading into the earnings season, supported in part by gains in technology shares. The index tracks the performance of 500 leading publicly traded companies in the United States and is widely used to assess the health of the American equity market. The quarterly reporting period is expected to begin unofficially with results from major financial institutions, including JPMorgan Chase and Goldman Sachs. Their reports could offer an early indication of how businesses and consumers are responding to borrowing costs, inflation and broader economic conditions. For investors, the upcoming results will provide an opportunity to compare companies' actual performance with analysts' forecasts. Businesses that exceed expectations may receive a positive market response, while disappointing results or cautious forward guidance could put pressure on share prices.
Artificial intelligence has become one of the main drivers of corporate investment in the United States. Companies are allocating substantial resources to data centres, specialised processors, cloud services and the electricity infrastructure needed to operate increasingly powerful computing systems. Large technology businesses are investing to expand their AI capabilities and compete for customers seeking automated services, data analysis tools and advanced computing capacity. This spending benefits not only software and internet companies but also semiconductor manufacturers, data-centre operators and selected energy providers. Alphabet, Amazon and Meta Platforms are among the major companies drawing attention because of their substantial involvement in AI development and related infrastructure. Their earnings performance can have an outsized effect on overall market growth because of their scale and influence within the technology sector.
The projected 31% increase in S&P 500 earnings would represent another strong quarter, but it would be below the exceptional growth recorded in the second quarter of 2026. LSEG data showed that S&P 500 earnings increased by nearly 54% year over year in the second quarter, the strongest growth since 2021. Some of that increase came from mark-to-market gains associated with AI-related investments at Alphabet and Amazon. Excluding those gains, earnings growth was approximately 35%, which was still the highest since 2021. These figures illustrate the strength of the recent earnings cycle while also highlighting the difficulty of maintaining such a rapid pace. When companies deliver unusually strong results, comparisons with the following quarter become more demanding.
Semiconductor manufacturers are among the businesses benefiting most directly from the expansion of AI infrastructure. Advanced processors and memory chips are essential for training AI models, operating data centres and supporting high-performance computing. Based on LSEG data cited in the report, earnings for US semiconductor companies are expected to increase by approximately 136% year over year in the third quarter. That compares with an estimated growth rate of around 158% in the second quarter. Although the forecast points to continued substantial growth, the lower rate suggests that the pace of earnings expansion could be moderating. Investors will be looking for evidence that demand remains strong and that chipmakers can convert sales growth into sustained profits.
The development of AI systems requires more than chips and software. Data centres need reliable electricity supplies, cooling systems, networking equipment and supporting infrastructure. As a result, the AI investment cycle is creating opportunities for companies operating in several industries. Google entered into a major electricity agreement with Constellation Energy during the week covered by the report. The deal illustrates the growing importance of power supply as technology companies expand computing capacity. Electricity demand has become an important consideration for businesses planning large data-centre projects. Securing dependable energy can help support operations, while supply constraints and rising costs may affect the economics of new facilities.
Energy companies are also expected to report substantial year-over-year earnings growth in the third quarter. Estimates cited in the report put the sector's projected increase at approximately 115%. The outlook follows a rise of roughly 30% in US oil prices during the quarter, amid the ongoing US-Israeli war with Iran and related geopolitical uncertainty. Higher oil prices can increase revenue and profits for some producers, although the overall impact varies according to production costs, hedging arrangements and other business conditions. The expected increase in energy earnings demonstrates that the third-quarter outlook is not driven by AI alone. Geopolitical developments and commodity price movements are also influencing corporate results.
While technology and energy companies are expected to report strong growth, some other parts of the US market face a more modest outlook. Consumer staples and real estate are among the sectors with comparatively weak projected year-over-year earnings growth for the third quarter, according to comments cited in the report. Consumer staples businesses sell essential products, including household goods and everyday consumer items. Their performance can be influenced by changes in consumer spending, input costs and companies' ability to maintain profit margins. Real estate businesses, meanwhile, can be sensitive to borrowing costs, financing conditions and property-market demand. Higher interest rates may increase the cost of debt and make some property investments less attractive.
Higher interest rates are another factor investors are expected to examine during the earnings season. US bond yields have risen amid concerns about inflation, elevated oil prices and debt-related problems in France and other markets. When bond yields rise, borrowing can become more expensive for companies that depend on debt to finance operations, expansion or infrastructure projects. Higher financing costs may reduce profits or lead businesses to delay planned investments. Utilities are among the sectors that can be particularly sensitive to borrowing costs because many businesses require substantial capital to maintain and expand their infrastructure.
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Despite the strong outlook, concerns are growing that the current earnings cycle may be approaching a point where further acceleration becomes harder to achieve. The AI investment trend has encouraged companies to spend heavily on computing infrastructure and related technology. As each quarter passes, investors are demanding stronger evidence that these investments will generate revenue and profits over time. Analysts have also noted that revisions to earnings forecasts are beginning to lose some momentum. This does not necessarily mean that the AI sector is weakening, but it suggests that the rate of improvement in expectations may be slowing. For investors, the distinction between continued growth and accelerating growth is important. A company can continue to increase its earnings while still disappointing the market if its results fall short of increasingly ambitious expectations.
The coming earnings reports are likely to shape expectations for the direction of the US stock market in the final months of 2026. Strong results from major technology and semiconductor companies could support investor confidence, particularly if businesses provide encouraging forecasts for future demand. However, any signs of slower AI spending, weaker profit margins or higher financing costs could trigger a reassessment of share prices. Companies outside the technology sector may also face pressure if economic conditions remain challenging. For now, analysts expect AI-related companies to account for most of the projected third-quarter earnings gains among leading US companies. The upcoming results will show whether that optimism is supported by financial performance.
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