The results of a new In-Stat U.S. consumer survey demonstrate that while respondents' existing home networks are fairly evenly split between Ethernet and Wi-Fi, future home network deployments are largely planned as Wi-Fi networks. The 640 tech-savvy consumers who participated in the survey still chose data-networking applications over consumer electronics applications as the applications for which they were most interested in using Wi-Fi connectivity. "Consumer electronics vendors have a challenge to educate consumers about Wi-Fi and to overcome the perception that Wi-Fi is simply a data networking technology," says Norm Bogen, In-Stat analyst. "Nevertheless, Wi-Fi silicon vendors have fully committed to this market segment, and In-Stat believes the benefits to consumers of Wi-Fi connectivity in consumer electronics devices are significant enough to build a major market segment over the next five years." The challenges that Wi-Fi faces, in terms of range, bandwidth, security, and Quality-of-Service (QoS), are being addressed by new standards that have either recently been ratified or are set to be ratified over the next several years. The prevalence of wireless network availability, especially in home networks, makes it increasingly likely that any consumer electronics device would benefit from Wi-Fi connectivity. More PCs in a respondent's household was positively correlated with a greater likelihood of having heard of Wi-Fi being used in various devices.
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...