Enterprise software companies compete on accumulated operational insight. That embedded knowledge compounds over time. AI can generate applications. Institutional learning still requires experience in the field. https://lnkd.in/gef6zQ7u #AI
This is a quick question with an equally quick answer—nothing.It’s just like what happened to the movie industry when the camcorder came out. Why? It’s not the camera, it’s where you point it. Traditional software companies do not maintain their competitive...
There is a strategic difference between creating advantage and assuming responsibility. Mission-critical systems of record are designed to manage compliance, auditability, and operational consistency across industries. Replacing them with AI-built alternatives transfers that responsibility to internal teams for the life of...
Agentic AI has not yet crossed the chasm, but it is beginning to test where a crossing might actually hold. In a thoughtful piece for diginomica , Stuart Lauchlan explores where agentic AI sits on the adoption curve, what is slowing...
By Geoffrey Moore Author – The Infinite Staircase: What the Universe Tells Us About Life, Ethics, and Mortality Recently, the stock market has reacted to the latest advancements in AI by materially discounting the future returns expected from enterprise SaaS companies like...
Why does innovation move fast while adoption crawls? Because transformation forces leaders to redirect capital, talent, and attention away from what still works toward what is not yet proven. That tension defines the messy middle. This conversation with Tina Vatanka Murphy looks...
Early traction does not equal market acceptance. That distinction matters even more with GenAI. Join me on Jan 27, 2026, 1:00 PM PT in this discussion focusing on how pragmatist buyers evaluate new technology, why the chasm still applies, and what...