Digital Lifescapes

Every product roadmap conversation with a technology vendor now runs through one filter that has nothing to do with the roadmap itself: does the company have an AI story that a buyer's finance team would actually underwrite. Forrester Research just gave that gut check a formal structure. Its newly introduced AI Disruption Model evaluates 17 technology and service categories, spanning more than 200 individual markets, against nine factors including AI substitutability, labor intensity, and switching costs. The finding that should reorder tech vendor strategy conversations this quarter is not which markets grow. It is how few of them do, and what that scarcity means for everyone else. Only Three Categories Get an Unambiguous Green Light According to the research, infrastructure providers such as cloud platforms, data centers, and storage; data and AI providers spanning models, platforms, and governance tooling; and cybersecurity and identity providers covering zero trust and AI agent...

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...