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.
Artificial intelligence (AI) has rapidly become the defining force in business technology development, but integrating AI into applications remains a formidable challenge. According to a recent Gartner survey, 77 percent of engineering leaders identify AI integration in apps as a major hurdle for their organizations. As demand for AI-powered solutions accelerates across every industry, understanding the tools, the barriers, and the opportunities is essential for business and technology leaders seeking to evolve. The Gartner survey highlights a key trend: while AI’s potential is widely recognized, the path to useful integration is anything but straightforward. IT leaders cite complexities in embedding AI models into existing software, managing data pipelines, ensuring security, and maintaining compliance as persistent obstacles. These challenges are compounded by a shortage of skilled AI engineers and the rapid evolution of AI technologies, which can outpace organizational readiness and...