Anurag Wadehra: “The Attractive Value Experience (AVX) is a proposal for the foundational unit of GTM in the AI era—one that aligns with how buyers actually experience value and how teams can intelligently deliver it with AI and Agents. At its core, effective GTM is about consistently delivering value that compels customers forward. We define this foundational unit as an Attractive Value Experience (AVX). AVX is a meticulously designed, measurable, and iterative micro-journey that attracts a customer with a small, self-contained value prop, engages them intelligently, and then propels them toward a specific immediate goal. It’s a holistic, single-purpose flow where interdependent components are strategically bundled to deliver clear-cut value, optimized for the right level of Human-AI Cognitive Pairing powered by a growing ecosystem of AI agents, and continuously refined.”
WSJ: “I wanted to know what was different with this particular tech era, so I asked Athina Kanioura, chief strategy and transformation officer at PepsiCo, which has been deploying AI for years. “For the first time with a new technology, there is a pervasive true fear at the senior leadership level that AI will fundamentally disrupt the business model at its core,” she said. “The potential for gen AI to completely rewire how value is created is so profound that no large company can afford to wait…AI has proven easier to adopt than previous technological shifts because there are lower barriers to adoption and it lends itself to an accessible user experience for both businesses and their customers, Kanioura said. While companies do need to invest in data infrastructure, governance and security, they don’t have to create a new physical infrastructure as they did with the rise of e-commerce.”
Bloomberg: “Jeffrey Bussgang, a partner at Flybridge Capital Partners and a lecturer at Harvard Business School, says that the new holy-grail metric isn’t a billion-dollar valuation but revenue per employee. In talks, Bussgang cites a website called the “Tiny Teams Hall of Fame” that lists companies with just a handful of employees claiming tens or even hundreds of million in annual revenue. He refers to it as “scaling without growing.” Goodbye, blitzscaling; hello, botscaling. But if AI can effectively fill nearly any role at a company, what is the human in charge really bringing to the table?The Botscaling Era The mantra of Bussgang’s recent book, The Experimentation Machine: Finding Product-Market Fit in the Age of AI (Damn Gravity Media, March 2025) is essentially: Do what you do best, and let AI do the rest.”
NYTimes: “A new initiative from the Defense Advanced Research Projects Agency, or DARPA, seeks to account for that shortfall by enlisting researchers in finding ways to conduct high-level mathematics research with an A.I. “co-author.” The goal of the new grant-making program, Exponentiating Mathematics, is to speed up the pace of progress in pure (as opposed to applied) math — and, in doing so, to turn A.I. into a superlative mathematician. “Mathematics is this great test bed for what is right now the key pain point for A.I. systems,” said Patrick Shafto, a Rutgers University mathematician and computer scientist who now serves as a program manager in DARPA’s information innovation office, known as I20. “So if we overcome that, potentially, it would unleash much more powerful A.I.” He added, “There’s huge potential benefit to the community of mathematicians and to society at large.””
