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New Frameworks In The Age Of Augmented Intelligence

The Ratio Didn’t Change. Everything Else Did.

Decision-First AI in Navigating Perpetual Data · 2026-04-30 22:02 · 50 claps · 1.9 min read
#decision-making #decision-science #llm #data #framework
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Wiki topics: LLM · Large Language Models 🔬 · Science · General

New Frameworks In The Age Of Augmented Intelligence

The Ratio Didn’t Change. Everything Else Did.

Vilfredo Pareto spotted it in 1896. Joseph Juran gave it to business in the 1940s. You’ve known it ever since.

80% of the work is getting the data right. But that other 20% is driving 80% of the value.

It’s not a revelation. It’s a Tuesday.

What’s new… is what just happened to that 80%.

A well-deployed and integrated LLM changes the math. The gathering, the cleaning, the structuring, the contextualizing — the work that has crowded out the majority of every analyst’s week since the first spreadsheet. Continuously. In parallel. Without a ticket queue.

The ratio doesn’t change. 80/20 is still 80/20.

What changes is the variable. We used to talk about work. Now we’re talking about time. And value.

That, of course, is a very easy thing to say. But if you can execute it, it changes the conversation entirely.

Here’s what the flip actually looks like.

Getting the information — the old 80% — drops to 20% of your time and 20% of the value. It still has to happen. It just stops being the majority of your life.

The decisioning — the synthesis, the judgment, the so-what — goes to 80% of your time and 80% of the value.

That’s 80/80. And that’s the number worth paying attention to.

The conversation about LLMs saving analyst time is well underway. What isn’t being said yet is this: it’s not a time-saving story. It’s a prioritization ratio. The same ratio that’s been sitting on your shelf since the 1940s just flipped for the first time in its history.

Most organizations aren’t getting there.

They’re pointing LLMs at the 20% — the decisions, the synthesis, the conclusions — and calling it productivity. The model generates the answer, it’s confident and fluent and fast, and nobody asks what it replaced.

That’s not the flip. That’s outsourcing the only part that mattered to a system that has yet to prove it can handle it.

The 80/80 only works if you know which half is which… and you protect it deliberately.

I wrote about the 80/20 framework years ago. Things have changed since then. But great frameworks don’t fade away, they adapt and evolve.

Decision-First thinking isn’t a framework for the data. It’s a framework for your time. Always was. The ratio just finally made it obvious.

George Earl is the author of Lies, Bias, and Bullshit: Decision-First Data & Analytics in the Age of Bots, AI & Social Media. His next book is on its way.

“A model is valid if and only if it is useful.” — me often


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2026-06-09 18:04:40