Despite intensifying concerns about declining DVD sales, boxoffice receipts and advertiser spending, traditional media executives attending Herbert Allen's exclusive Sun Valley summit this month didn't exactly flock to the so-called new media moguls, whose emerging venues could be critical in offsetting the industry's mounting economic risks. That uniform observation from elite executive conference attendees begs the question: "Why not?" When presented with the opportunity to aggressively explore viable new alternatives to their challenged business models, why didn't traditional media players respond as if their existence depends on it, as suggested by a recent flood of troubling statistics? "There was almost no interaction between traditional media companies and new media companies," one high-level Sun Valley conference attendee says. "Google was talking about video search and Intel talked about WiMax, and all the new media companies were talking about changing the existing business models. The traditional media companies sat there and listened to them with their heads in the sand, like it's business as usual," another conference attendee says. "It was really bizarre."
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 ...