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.
Technology is a compelling catalyst for economic growth across the globe. Artificial intelligence (AI) rides a seismic wave of transformation in the Asia-Pacific (APAC) region — a market bolstered by bold government initiatives, swelling pools of capital, and vibrant tech ambition. The latest IDC analysis sheds light on this dynamic market. Despite a contraction in deal volumes through 2024, total AI venture funding surged to an impressive $15.4 billion — a signal of the region’s resilience and the maturation of its digital-native businesses (DNBs). Asia-Pacific AI Market Development The APAC AI sector’s funding story is not just about headline numbers but also about how and where investments are shifting. Even as the number of deals slowed, the aggregate value of investments climbed, reflecting a preference among investors for fewer but larger, high-potential bets on mature or highly scalable AI enterprises. The information technology sector led the AI investment charge. Top area...