There are 1,500+ AI companies. 200+ foundation models. 50+ AI newsletters. A new “breakthrough” every 48 hours.
Leaders are drowning. Not in ignorance. In noise.
Leaders don’t need more content. They need sharper signals.
The Noise Problem
Noise isn’t bad information. Noise is information that’s technically correct but strategically irrelevant to your context. A new image generation model is noise if you’re building a supply chain. A new coding tool is noise if your bottleneck is distribution.
The skill isn’t knowing everything. It’s knowing what matters to you, right now.
The Signal Filter
Before consuming any AI news, apply three filters:
Filter 1: Does this affect my customers in the next 12 months? If not, file it. Don’t act on it.
Filter 2: Does this change what I’m currently building? If not, note it. Don’t pivot for it.
Filter 3: Does this require a decision this week? If not, let it marinate. Most AI news ages poorly.
If a development passes all three filters, it’s a signal. Everything else is noise. Give it attention proportional to its signal strength, not its headline volume.
Why This Matters
FOMO is the enemy of strategy. Leaders who chase every AI announcement end up with a portfolio of pilots and no production systems. Leaders who filter ruthlessly end up with fewer initiatives that actually ship and scale.
Signal over noise isn’t about being less informed. It’s about being more decisive.
Choose to be wise.