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 prevailing narrative around artificial intelligence (AI) has been one of relentless scale. Bigger models, bigger clusters, bigger budgets. The assumption, largely unchallenged until recently, was that raw parameter count translated directly into competitive advantage. New research from Omdia suggests it's time to retire that assumption. According to the latest market study by Omdia, parameter growth in frontier AI models has slowed to around 5 percent annually since 2021, a stark contrast to the more than hundredfold expansion seen between 2019 and 2021. Enterprise AI Market Development For executives who have been making infrastructure and investment decisions based on the assumption that AI would keep demanding ever-larger, ever-more-expensive hardware, this finding deserves serious attention. The race to the top of the model size leaderboard has, at least for now, plateaued. Crucially, Omdia's analysts are not reading this as an AI winter. Alexander Harrowell, senior pri...