







Turning models into products runs into five challenges
AI is Creating Peak Software, Media is the Best Analogy
Let's learn more about the world's most important manufactured product. Meaningful insight, timely analysis, and an occasional investment idea.

Bring a Product Manager Mindset to Your Next Engineering Job
The age of AI demands strong ideas, data driven methods, and experimentation

Business Models in the AI Era
MIT CISR anticipates that rapid advancements in AI will drive business model evolution over the next decade, and we propose that business models in the AI era will become increasingly outcome oriented and enabled by autonomous AI. In this briefing, we draw on our research from 2013 to 2025 involving 2,378 companies to describe how digital business models have developed over the last twelve years, and introduce a framework for AI-driven, real-time business models. We illustrate how companies have begun exploring these new business models with a case study of One New Zealand.


Paradigm Shifts and the Winner’s Curse
When paradigms change, previous winners have the hardest time adjusting; that is why AI might be a challenge for Apple and Amazon

I am often wrong
[I shared this note with my team earlier this week, and am posting it here as well. I hope it is interesting or helpful for others working on building product in the age of AI.]
A product modeling platform for AI-built software
The first version is magic. Auto turns product intent into a durable model your agent can build from as the product evolves.

Everything is ugly, so go build something that isn't — Raiza Martin, Huxe (ex NotebookLM)
Companies rushed in on AI. Now some are pulling back
Rapid AI adoption left workers cleaning up a flood of errors and low-quality work

In spite of hype, many companies are moving cautiously when it comes to generative AI | TechCrunch
Companies are extremely interested in generative AI as vendors push potential benefits, but turning that desire from a proof of concept into a working product is proving much more challenging.

LukeW | The Evolution of AI Products
At this point, the use of artificial intelligence and machine learning models in software has a long history. But the past three years really accelerated the ev...

Value Pairs: A New Way of Approaching Product Development
How AI-enabled teams can change how we think about product development
Fire, ready, aim
The race to shoehorn half-baked AI features into enterprise products is a cynical subversion of UX that’s likely to lead to less adoption…


Feeding the machine
The fastest growing companies in the world aren’t AI companies, but the startups that supply them with warm bodies.
