What Happens to an AI Accelerator Cohort’s Startups That Don’t Raise After Demo Day
Public accelerator narratives focus on graduates who raised well. The startups that didn’t get comparably little attention or support.
Why Some VCs Are Building Internal AI Tools to Evaluate AI Startups
A number of venture firms are now using their own AI systems to screen and evaluate pitches, raising real questions about what that changes.
The Unicorn Valuation That Quietly Got Marked Down, and How to Notice
Investors mark down struggling private holdings internally well before it becomes public. Here’s where those markdowns sometimes surface first.
The Startup Funding Detail Hidden in the Cap Table, Not the Press Release
A funding round’s headline terms are public. The liquidation preference stack behind them, which determines who actually gets paid first, rarely is.
The AI Workforce Debate Needs More Voices From Workers Actually Affected
Most public discussion of AI’s workforce impact is conducted by economists, executives, and policymakers, with the affected workers themselves quoted least.
The Best AI Leaders We’ve Covered Share One Unusual Habit
Across dozens of AI leadership conversations, one specific practice recurs among the leaders whose organizations seem to navigate AI decisions best.
The AI Market Trend Data Set That Doesn’t Exist Yet, and Should
No major research firm currently tracks AI project abandonment rates over time. That gap distorts how healthy the market actually looks.
The AI Investment Decision That’s Really About Organizational Trust
The same AI investment case gets approved or rejected differently depending on how much trust exists between finance and the team proposing it.
What Actually Predicts Whether an Employee Keeps Using an AI Tool
Neither training hours nor tool quality alone predict sustained AI adoption as reliably as one specific factor: whether a manager visibly uses it too.
The AI Transformation Success Story That Took Three Years to Actually Land
The transformation initiatives that eventually deliver real value are rarely the ones that looked successful in year one.