McKinsey report on Superagency: “Almost all companies invest in AI, but just 1 percent believe they are at maturity. Our research finds the biggest barrier to scaling is not employees—who are ready—but leaders, who are not steering fast enough.”
WSJ: “Automated reasoning aims to use mathematical proof to assure that a system will or will not behave a certain way. It’s somewhat similar to the idea that AI models can “reason” through problems, but in this case, it’s used to check that the models themselves are providing accurate answers. Automated reasoning is a branch of AI that’s part of “symbolic AI,” a field rooted in the 2,000-year-old mathematical logic work of Socrates and Plato, according to AWS Vice President and Distinguished Scientist Byron Cook, a leader in the field. It’s a relatively obscure discipline that counts only about 3,000 practitioners in total around the world, Cook said. Symbolic AI is the use of mathematical logic to encode knowledge in AI systems in a structured way, and uses rule-based decision-making to reach conclusions, Cook said. That’s different from machine learning, which involves teaching a machine to deduce patterns from large amounts of data.”
Forbes: “While generative AI is good at instant research, generating text and images and is overall a tool for human assistance in general, he explained that agentic AI moves beyond some of these simple tasks and demands AI to actually complete higher level tasks like real decision making and problem solving, and acts as a consultant, or helps act on behalf of businesses or individuals making higher level decisions. “Agentic AI bridges the gap between AI’s potential and business reality,” said Vahagn Sargsyan, founder and CEO of WebWork AI. “We’ve seen AI transform industries, but companies need AI that understands their data, not just general internet knowledge.” At WebWork, for example, this evolution is already happening. The company’s AI assistant analyzes tracked time data to provide actionable insights on productivity, workflow inefficiencies, and operational anomalies — helping businesses optimize processes and scale intelligently. Kevin Frechette, cofounder and CEO of Fairmarkit, expanded on this idea, emphasizing the move from generative AI to agentic networks. “Agentic AI means agentic networks — teams of AI agents collaborating and even having supervisor agents oversee their workflows. In procurement, for instance, AI can now negotiate terms, verify compliance, and manage vendor interactions autonomously, significantly reducing the burden on human teams,” he [said].”
NYTimes: “The Sims was a sandbox for the American dream when it was released on Feb. 4, 2000, with Wright pulling inspiration from biology, architecture, comics and psychology to dictate the rules of his virtual dollhouse. It was an unusual proposal at a time when most games were goal-oriented and linear, and a predecessor to create-your-own-adventure games like Minecraft that give players a pick axe and carte blanche.”
ET: “Gartner estimates that the enterprise messaging market in India is expected to reach $3.2 billion by 2028 from $1.3 billion in 2023. It further pegs that WhatsApp and RCS are likely to reach a combined market of $1.6 billion and capture 50% of value share of India’s commercial messaging market by 2028. This is sharply against the split until a few years back when enterprises spent 85% of communication budgets on foundational services like SMS with 15% towards next-gen communications applications.”
