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.
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...