Swedish telecommunications equipment giant LM Ericsson Telephone reported its first-quarter financial results for 2026. The company's profit metrics fell short of market expectations due to persistently weak global demand for telecom equipment and rising semiconductor procurement costs driven by the artificial intelligence boom. According to the earnings report, LM Ericsson Telephone's adjusted earnings before interest, taxes, and amortization for the first quarter amounted to 5.6 billion Swedish kronor (approximately $610 million), a decline of 20% compared to the same period last year and below the analyst consensus estimate of 5.84 billion kronor. Excluding restructuring charges, adjusted operating profit was 5.2 billion kronor (about $566 million), also missing the average analyst forecast of 5.4 billion kronor. Net sales for the quarter were 49.3 billion kronor, down 10% year-over-year and below market expectations of 50.7 billion kronor. Following the earnings release, LM Ericsson Telephone's shares traded on the Tradegate platform fell approximately 6.7% relative to their Thursday closing price on the Stockholm exchange. However, the stock has still gained 22% year-to-date. Chief Executive Officer Börje Ekholm stated, "We are facing increasing pressure on input costs, particularly in the semiconductor sector, partly driven by surging AI demand." He indicated that the company plans to address these challenges through closer collaboration with customers and suppliers, exploring product alternatives, and improving operational efficiency. Chief Financial Officer Lars Sandström noted in an interview that growing demand for AI services is likely to continue pushing costs higher throughout the year. He added that ongoing conflicts in the Middle East are also creating challenges for production. "We are working with suppliers to mitigate the impact, but we also need to share this pressure with our customers," Sandström said. LM Ericsson Telephone and its peers have been contending with weak demand from telecom operators in recent years, as anticipated spending on 5G network upgrades has been slower to materialize. To alleviate profit pressures, the company has continued its cost-cutting initiatives, which included reducing its global workforce by approximately 5,000 positions in 2025. It plans to maintain a similar level of expense reduction this year. Sandström mentioned that LM Ericsson Telephone sees growth opportunities in the wireless access network markets of India and China, but the European market is expected to remain subdued as network operators struggle to achieve returns on their investments. He also pointed out that the company experienced a mid-single-digit percentage decline in sales in the North American market during the first quarter. Despite operational pressures, LM Ericsson Telephone signaled a positive move regarding shareholder returns. The company announced its first-ever share buyback program in January and stated on Thursday that the 15 billion kronor repurchase initiative could begin as early as April 23. In terms of competitive positioning, while its Finnish rival Nokia is actively positioning itself as a local supplier of choice under Europe's "technological sovereignty" vision, LM Ericsson Telephone continues to focus its strategic bets on the U.S. market. Ekholm has previously cautioned that Europe's aggressive push for technological autonomy could carry risks. The United States is currently LM Ericsson Telephone's largest single market, with its most significant project being the $14 billion wireless network modernization contract won from AT&T in 2023. Market analysts expect this substantial order to help offset the negative impact of sluggish telecom investments in other regions. Furthermore, the telecommunications industry is seeking ways to capitalize on the surge in AI application demand and derive benefits from it—including the massive infrastructure investments required to support the technology. After receiving a $1 billion equity investment from chip giant NVIDIA last year, Nokia has restructured its operations to prioritize AI networks as a key growth area.