Customers are becoming increasingly dissatisfied with their cell phone service as the major wireless operators in the United States merge together, said a J.D. Power and Associates report. Overall satisfaction with a subscriber�s wireless provider dropped 10 percent in 2004, the largest year-over-year change since the U.S. Wireless Regional Customer Satisfaction Index Study was launched a decade ago. The findings provide a harsh contrast to the claims of the merging companies and their officials, who hope to smooth over the possible negative effects of industry consolidation on the consumer. �Given the number of major changes consumers have experienced over the past couple of years, the gap between customer expectations and actual service experience tends to widen as uncertainty from mergers greatly influences consumer perceptions,� said Kirk Parsons, senior director of wireless services at J.D. Power and Associates. The report, which surveyed 24,096 wireless users, found that forces like mergers, regulatory programs, and competitive expansion have made it difficult for carriers to meet customer expectations. The companies that underwent major mergers had greater drops in customer satisfaction.
The global semiconductor industry is experiencing a historic acceleration driven by surging investment in artificial intelligence (AI) infrastructure and computing power. According to the latest IDC worldwide market study, 2025 marks a defining year in which AI's pervasive impact reconfigures industry economics and propels record growth across the compute segment of the semiconductor market. Semiconductor Market Development IDC’s latest data reveals an insightful projection: The compute segment of the semiconductor market is on track to grow 36 percent in 2025, reaching $349 billion. This segment, which encompasses logic chips powering CPUs, GPUs, and AI accelerators, will sustain a robust 12 percent compound annual growth rate (CAGR) through 2030. These numbers underscore not only current momentum but a structural shift driven by large-scale adoption of AI workloads spanning cloud, edge, and on-premises deployment models. The scale of investment is unprecedented. As organizations ...