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.
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 ...