As telecom operators push hard to roll out Internet Protocol (IP) television services worldwide, they face major roadblocks in the shape of licensing and franchising issues, according to new studies from ABI Research. On one side, content providers worry about the security of IP networks, which are certainly not immune to hacking. These concerns affect the license arrangements they must reach with telcos wishing to distribute their intellectual property. From another quarter, cable operators -- justifiably fearing Telco IPTV encroachment on their traditional turf -- are lobbying governments fiercely to ensure that the telcos pay the same sort of franchise fees and go through the same degree of legal bureaucracy that they do. According to ABI principal analyst, Michael Arden, "In the US, this means thousands and thousands of individual contracts. Overseas, with lower cable penetration and less stringent government regulations, it is often a smaller problem." A partial solution -- at least for those telcos that can access fiber-to-the-home networks -- is "RF overlay", in which the TV signals are sent down the fiber network in a format equivalent to that used by cable services themselves. RF overlay is "a next-best solution to get content to the market quickly."
Commercial interest in Generative AI (GenAI) tools has reached a fever pitch, and the latest forecast from Gartner amplifies this emerging trend. Gartner predicts $644 billion in worldwide spending on GenAI in 2025, marking a dramatic 76.4 percent increase from the previous year. This surge underscores the impact GenAI will have across industries. It also requires a closer examination of the underlying dynamics of future potential. Generative AI Market Development This growth is fueled by the GenAI foundational model providers who invest billions into enhancing the size, performance, and reliability of their models. Hardware also accounts for a significant portion of this spending, with ~80 percent allocated to servers, smartphones, and PCs equipped with artificial intelligence capabilities. This highlights the critical need for computational power to support the demanding workloads of GenAI. However, Gartner also injects a dose of reality into the GenAI hype cycle. There's a dec...