Consumers spent $24 billion buying and renting DVD and VHS titles in 2004, more than twice as much as they did buying tickets at movie theater box offices, according to the Video Software Dealers Association's (VSDA) 2005 Annual Report. The major studios generated $21 billion from home video in 2004, representing 47 percent of their combined worldwide film revenues. Estimates of consumer spending on used DVDs and videocassettes for 2004 ranged from $658 million to $2 billion. The VSDA said that 73 percent of U.S. households had the capacity to view a DVD by the end of 2004, while VCR penetration declined for the first time during the period. The group also said that 2004 video game rentals totaled $700 million, adding that 53 percent of all games rented were rated "E" (Everyone). Mass merchants had a 50 percent market share of sell-through consumer spending on home video. The top three rental chains (Blockbuster, Hollywood, and Movie Gallery) collected more than 50 percent of consumer dollars spent on video rental transactions. Video-on-demand was available in approximately 22 million U.S. households. Digital video recorders were in fewer than 7 million U.S. households.
Enterprise AI adoption keeps running into the same wall: the moment sensitive data, model weights, or agent memory leave a tightly controlled environment, security teams lose visibility into what happens to them while the workload is actually running. Confidential computing exists to close that gap, and new research from ABI Research shows the technology has matured enough, across CPUs, GPUs, containers, and now agentic AI, to become a foundational requirement for enterprises building sovereign AI infrastructure: computing environments they control end to end rather than simply rent. Protection is Moving From CPUs to GPUs ABI Research finds that CPU-based confidential computing is closest to mass-market adoption, the product of years spent hardening chip-level isolation for general workloads. GPU-based confidential computing is now generating the strongest momentum, and for good reason. It addresses one of the largest unresolved gaps in AI security: protecting data and models while inf...