The AI Unicorn Count Is a Weaker Signal Than It Used to Be
Private valuations used to track real market consensus. In a hot AI fundraising environment, they’ve become easier to inflate.
Startup Funding Coverage Undercounts the Companies That Didn’t Raise
Funding news is inherently survivorship-biased. The startups that couldn’t raise are the more informative story that rarely gets told.
AI and the Workforce: The Debate Is More Local Than the Headlines Suggest
National-level debates about AI and jobs obscure how differently the impact is actually landing across specific roles and companies.
AI Leadership Is Becoming a Distinct Executive Role, Not a CTO Side Project
Companies are increasingly hiring dedicated AI leadership rather than folding responsibility into an existing technical executive’s mandate.
AI Market Trend Reports Disagree With Each Other More Than Readers Realize
Different market research firms produce meaningfully different AI market size estimates using different methodologies. Few readers check which.
AI Investment Decisions Are Getting Harder to Separate From FOMO
A meaningful share of enterprise AI investment is defensive spending driven by competitor activity rather than a clear internal business case.
AI Adoption Curves Look Steeper on Paper Than They Feel Inside a Company
Survey-reported adoption numbers count a company as an ‘adopter’ at a much lower bar than most employees would recognize as actual use.
AI Transformation Projects Fail for the Same Reasons Digital Transformation Did
The failure modes of AI transformation initiatives look a lot like the failure modes of the digital transformation wave before them.
An AI Strategy Without a Sunset Clause Isn’t a Strategy
The most disciplined AI strategies specify in advance what evidence would make the company change course. Most published strategies don’t.
AI Policy Debates Keep Skipping the Enforcement Question
Most AI policy coverage focuses on what a rule says. Fewer people ask who’s actually going to enforce it, and with what resources.