According to McKinsey, viewers who use their mobile phones to interact with TV shows are more likely to tune in again and to tell friends about the shows�interest that generates higher ratings and ad revenues. Broadcasters and advertisers should sit up and take notice -- McKinsey research suggests that viewers who use their mobile phones to send text messages to TV shows, either to vote in a competition or take part in a dialogue, are highly engaged and more likely to tune in again, to tell friends about the shows, and even to buy related merchandise. This added interest can increase ratings by as much as 20 percent for mainstream shows and 100 percent for niche ones � a message that many advertisers would be glad to receive. We asked 124 ad executives from 39 companies across Western Europe whether they would be willing to spend more money in channels offering this type of growth � for example, through new technologies such as SMS. More than half said that they would, and almost a third of the spending would represent new investment. Europe is ahead of other markets in experimenting with SMS-TV, and even at this early stage the extra revenues for broadcasters, mobile carriers, and technology providers added up to �400 million in 2003.
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 ...