WiBro, the wireless broadband platform favored by South Korean operators and vendors, will become a prominent access technology not only for South Korean wireless Internet businesses but also in the global arena. KT and SK Telecom have been aggressively preparing to launch WiBro commercial services early next year. WiBro vendors and operators in South Korea are already making progress faster than the WiMAX camp in terms of specification and market scale. Conventional wisdom previously regarded WiBro as a local specification fulfilling Korean local conditions only, but it is gradually becoming accepted as a potential global specification, especially when WiBro provides interoperability with IEEE 802.16e. WiBro has been expanding its global presence. In July, the Japanese government, accepted WiBro along with mobile WiMAX as a next-generation broadband wireless standard candidate. In the meantime, WiBro with VoIP can offer lots of benefits in terms of economics and fast deployment for global operators. According to ABI Research senior analyst Andy Bae, "With Korean users' high demands for wireless multimedia services via the Internet, and KT's aggressive 'WiBro as Next Growth Engine' plan to compete with SK Telecom-backed HSDPA, WiBro in South Korea will be well-positioned." Nonetheless, terminal vendors should carefully examine users' preferences and market demands for applications, in accordance with service roadmaps.
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...