When Disruption Feels Familiar

"Act as my Chief of Staff. Based on this week's goals, what should I say no to?"
A practical filter for founders and operators drowning in optional urgency.

Covariate Shift:

When the data a model sees in the real world differs from the data it was trained on, leading to unexpected performance drops even though nothing

Read: Range by David Epstein

A compelling case for generalists in a world obsessed with specialization. Especially relevant in AI and tech, where cross-domain thinking often beats narrow expertise.

Threads rolled out "Dear Algo,' " a feature that lets users directly tell the algorithm what they want to see more or less of. The feed is no longer just learning from you. You are now explicitly training it back.

What it is:

A no-code platform that turns spreadsheets into fully functional internal tools and lightweight apps without needing engineering resources.

How you can use it:

Connect it to a Google Sheet or database and build custom dashboards, CRMs, inventory trackers, or approval systems in hours. Share securely with your team and update logic on the fly.

Good for you if:

You're an ops-heavy startup or small team constantly building scrappy internal systems and want to ship tools fast without filing engineering tickets.

Hyperwrite CEO Matt Shumer recently compared AI to Covid owing to its scale and speed. During the pandemic, entire industries were forced to adapt overnight. According to the warning, AI could create a similar shock to employment, but in a more systematic way. Instead of temporary shutdowns, AI could permanently reduce the need for certain roles, automate repetitive and mid-level tasks, and compress teams that once required large human workforces. The concern is not just job loss, but the velocity at which skills may become obsolete.

What Ringg thinks:

The comparison works because it highlights preparedness. Covid exposed how fragile systems can be under rapid change. AI presents a quieter disruption. Companies adopt it to improve margins and efficiency, not because they are forced to. That makes the shift less visible but potentially more structural. The risk is not sudden collapse, but gradual displacement. The real challenge will be whether education systems, policy frameworks, and corporate strategy evolve quickly enough to absorb the change before it becomes socially destabilising.