Family-friendly movies are more profitable than R-rated films, according to a new study. In a follow-up to a 10-year study commissioned by the nonprofit Dove Foundation in 1999 -- which found that between 1988-97 the average G-rated film made eight times the profit of an R-rated picture -- an extension of that study found that trend continuing and expanding. The new, expanded study examines the revenue and negative costs for 3,000 MPAA-rated theatrical films released between Jan. 1, 1989, and Dec. 31, 2003, using the 200 most widely distributed films each year based on the number of theaters. The 15-year study throws more fuel onto the fire of the long-running debate over sex and violence in entertainment -- and whether it sells. To encourage the production and distribution of more wholesome family entertainment, the Dove Foundation commissioned the study to examine the profitability of movies broken down by their MPAA ratings to compare family-friendly movies vs. R-rated films. "While the movie industry produced nearly 12 times more R-rated films than G-rated films from 1989-2003, the average G-rated film produced 11 times greater profit than its R-rated counterpart," said Dick Rolfe, founder and chairman of the Grand Rapids, Mich.-based media advocacy group.
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...