It's not just U.S. consumers who want a lighter tax burden on phone services, but the telecommunications companies that serve them as well. A recent study by the Telecommunications Tax Task Force of the Council on State Taxation (COST) says that telecom companies have to file thousands more tax returns than other businesses. No wonder telecom companies are fed up. The gory details: The average number of tax returns each telecommunication company has to file per year is a staggering 47,921, compared to 7,501 returns for a general business. New York saddles telecom companies with more returns than any other state: 5,632. How is this possible? Start with New York State's 406 jurisdictions requiring monthly local utility tax returns. Telecoms face 6,683 more taxing jurisdictions nationwide than general businesses -- there is such a thing as a mosquito abatement jurisdiction. The average state and local effective tax rate on telecom services -- some of which is paid directly by customers and some of which is levied on the companies, who then pass on the cost -- is 14.17% throughout the U.S., compared to 6.12% for general businesses, according to the COST study. The worst offender is a state not normally known for its high taxes: Virginia, with a 29.3% rate.
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 ...