The Expert Opinion Question That Reveals How Confident to Be
Asking an expert how they'd bet money on their own prediction produces more honest calibration than asking for the prediction…
By AIBW Desk
All Articles
Latest from AI Business Watch
An Editorial Standard for When AI Coverage Needs a Correction, Not Just an Update
AI facts change fast enough that publications need a clearer line between routine updates and genuine corrections of what was…
By AIBW Desk
📢
Put Your Brand in Front of AI Decision-Makers
Sponsored content, newsletter placements, and homepage visibility.
Get in TouchWhat Accelerator Graduates Actually Say About the Experience, Off the Record
Public accelerator success stories are curated. What founders say privately about the same programs is often more mixed and more…
By AIBW Desk
Venture Capital’s AI Playbook Is Splitting Into Two Distinct Strategies
Some VCs are betting on infrastructure at massive scale. Others are betting on narrow, defensible application-layer niches. Few are doing…
By AIBW Desk
How Many AI Unicorns Actually Have Unicorn-Level Revenue
A billion-dollar valuation and revenue that would justify it under traditional multiples are two different, increasingly diverging claims.
By AIBW Desk
The Bridge Round Has Become a Normal Part of AI Startup Funding
A round that used to signal trouble now often signals a reasonable, planned decision to extend runway between larger raises.
By AIBW Desk
AI’s Workforce Effect Depends Heavily on Who Designs the New Workflow
The same AI capability produces very different workforce outcomes depending on whether the redesign is led by workers or imposed…
By AIBW Desk
AI Leadership Credibility Increasingly Depends on Saying No Publicly
The AI leaders building the most credibility right now are the ones willing to publicly decline to deploy AI in…
By AIBW Desk
AI Market Trend Data Lags the Reality on the Ground by Months
By the time a market trend shows up clearly in aggregate data, the underlying shift usually started well before the…
By AIBW Desk
AI Investment Committees Are Learning to Ask About the Second Year, Not Just the First
Early AI investment evaluation focused heavily on first-year pilot results. More disciplined committees now model out the following years.
By AIBW Desk
✏️
Have a Perspective on AI Business?
Pitch a guest article to our readers of founders and operators.
Write for Us