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.
What started as a convenience tool for developers writing faster software boilerplate code has evolved into something considerably more consequential: an autonomous layer of software engineering capability that is beginning to restructure how organizations design, build, and govern technology at scale. Gartner's latest market study and analysis of this market makes one thing clear. This is no longer a story about productivity enhancement at the margins. It is a story about competitive realignment at the platform level, with trillion-dollar implications for the vendors who supply these tools and the enterprises deciding which ones to trust with their core development infrastructure. AI Coding Agents Market Development The scale of the market alone signals how far this category has matured. Enterprise AI coding agents are now capturing a growing share of enterprise software engineering spend, with the market estimated at roughly $9.8 billion to $11 billion annualized as of April 2026...