Canada�s top court has put to rest a special tax on digital music players that had been intended to compensate musicians for illegal use of their content, cheering levy opponents who argued it unfairly punished people who use MP3 devices for photos and non-music data files. A Federal Court had struck down the policy last year but the Canadian Private Copying Collective (CPCC), which collects tariffs on behalf of musicians and record companies, later appealed the case. The Supreme Court of Canada declined to hear further arguments on the case Thursday, all but killing the tax and ensuring MP3 devices will remain cheaper for Canadian consumers. The CPCC started taking taxes on MP3 players in December 2003 after arguing that MP3 players like iPods were a way to make illegal copies of songs. The levy, the CPCC argued, was a way to pay music creators for unfair use of their work. Originally created for blank audio cassette tapes, the tax is also applied to blank CDs and was extended to MP3 players. The player taxes were built into the prices of the devices. A CAN $2 ($1.63) tax was levied for a device with non-removable memory of up to 1 GB, CAN $14 for one with memory up to 15 GB, and CAN $25 for one with more than 10 GB.
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 ...