I’ve been thinking a lot lately about how we value work. You’ve likely heard of the 80/20 rule, also known as the Pareto Principle. Traditionally, it suggests that 80% of your results come from 20% of your efforts. It’s a favorite of productivity gurus and business consultants.

But as AI starts to take over the heavy lifting in our offices and studios, I’ve noticed a shift in how this principle actually applies to us as professionals. The principle hasn't been replaced—if anything, it’s more relevant than ever. But the "modern era" of AI has changed where the value sits.

Earlier, if you were a professional, a designer, a writer, a strategist, you were paid to handle the whole 100%. You did the heavy lifting (the 80%) and the final refinement (the 20%). Today, the 80% is becoming a commodity. If you want to remain relevant, you have to live in the 20%.

1. The Death of "Doing" (The 80%)

In almost any project, whether it’s building a website, designing a brand, or launching a marketing campaign, there is a massive chunk of work that I call the "foundational 80%." This is the part that takes up most of the hours on a timesheet. It involves building the initial layouts, writing the first drafts, structuring the data, and designing the standard assets.

Today, AI owns this. It is repeatable, structured, and based on patterns. If you ask AI to write an article or generate a website layout, it will get you to that 80% mark in seconds.

The problem? If everyone has access to the 80%, then the 80% is worth very little. The market value of that work has plummeted. If a machine can do it for pennies, "doing the work" is no longer a differentiator. It’s just the starting line.

2. The Premium of "Expertise" (The 20%)

If the 80% is the system, the final 20% is the Expertise. This is the layer that transforms a generic, "functional" output into something truly premium. It is the refinement, the decision-making, and the "gut feeling" that makes a product feel right. It is often invisible, hard to measure, and easy to underestimate, yet it accounts for the entire value of the project.

This 20% is also the most expensive part of the bill. It might look like a small portion of the timeline, but it is where all the risk and all the results live.

Where Does This 20% Come From?

I didn't learn this 20% in a textbook. It was built through a "black box" of experience that AI simply cannot replicate:

• Tangible Results: It comes from those successful projects where you saw an idea actually translate into revenue. You remember exactly which small tweak made the conversion rate jump.

• The "Scar Tissue" of Failure: Knowing exactly what not to do because you’ve seen it crash and burn before.

• Pattern Recognition: Developing a "gut feeling" after looking at 100,000 designs or managing 500 campaigns or spending countless hours correcting the inner radius. You see things a junior (or a machine) might miss.

• Peer Feedback: Years of being critiqued by mentors and clients helps you refine your taste until it becomes innate.

Each and every interaction that I have with the real world helps me build this. AI works on generalized patterns; Expertise works on context, experience, and taste.

3. Real Stories: Why Function Isn't Enough

To show you what I mean, let’s look at two situations where the 80% was easy, but the 20% changed everything.

Story A: The Psychology of Money (Insurance vs. Loans)

I once worked on a marketing platform for a firm that handled both insurance and loans. From a technical standpoint, the operations were similar, both were about moving money.

If you asked an AI (or a junior marketer) to write ads for both, they might produce very similar, professional-sounding content. But a seasoned strategist knows that the consumer psychology is worlds apart:

• Loans: The customer is actively seeking you out. They have a specific need. Your 20% expertise tells you to communicate speed, safety, and the "best deal."

• Insurance: This is a "push" product. People don't wake up excited to buy insurance. Your 20% expertise tells you that you must educate them on "why" they need it and speak to their long-term fears.

The 80% of the work that is the landing pages and the ad copy, might look similar to a layman. But the 20% of strategic nuance is what determines whether the campaign makes millions or loses the entire budget.

Story B: The "Stadium Test" (The Liverpool Scarf)

I remember designing a scarf for Liverpool fans during our Champions League victory (2019, at Madrid) screening.

• The 80%: The initial design took 20 minutes. I had the dimensions, the red color, and the logo. It looked like a scarf.

• The 20%: I then spent four hours researching and refining. Why? Because a scarf isn't just a piece of cloth; it's a tool for a fan in a stadium.

I had to ensure the text was spaced so it was readable even when bunched up or held over a head. I had to ensure the design "flipped" correctly so that when a fan held it up, the person behind them could also read it. A junior or an AI might give you a pretty picture. Expertise gives you a product that works in the real world.

4. The Premium Gap: Why "Better" is Expensive

We often think "Premium" just means a higher price tag for a lot of branding and marketing, but it’s actually about removing friction. Look at a MacBook versus a budget laptop. Both have a keyboard and a screen. That is the 80%. But the MacBook’s 20% is the fact that it doesn't lag, doesn't heat up, and has a battery that lasts all day, it is why people pay three times more. You are paying for the quality of life.

When you buy a MacBook for 1.5 lakhs instead of a Windows laptop for 90k, you aren't just buying hardware. You are buying the 20% of refinement that removes the lag, the heating, and the frustration. That small increment in performance provides a disproportionate increase in your output.

5. The Billing Paradox: Buying "Done," Not "Hours"

This shift changes how we hire. If you hire a Junior, they might take eight hours to do a task because they are still learning the 80%. They are slow, and they lack the 20% of refinement.

If you hire a Senior, they might take three hours and charge 10x the rate. You aren't paying for their time; you are buying their years of research. "You're not paying me ₹5000 for 30 minutes of work. You're paying me ₹5000 for the 10 years it took me to learn how to do that work in 30 minutes."

The Senior already knows the "Stadium Test" for the scarf. They already know the psychology of the loan customer. They skip the research phase because they are the research.

6. Don't Get Stuck in the 80%

As AI continues to accelerate the 80%, the gap between the "competent" and the "expert" will widen into a canyon. If you position yourself as a person who simply "does the work" (execution), you are competing with a machine that works for pennies.

The Value Equation has shifted:

1. Execution (the 80%) is becoming a commodity. It is fast, cheap, and everywhere.

2. Expertise (the 20%) is becoming a premium. It is rare, earned through failure, and context-dependent.

The real question for every professional, every agency, and every brand is this: What do you add after the AI is finished? What do you see that the machine doesn't? What decisions can you make better? What subtle refinements can you bring that make a product feel "royal" or "premium" rather than just "functional"?

The 80% is the system—it’s the part you can delegate to the tools. The 20% is you. That final layer is where expertise lives, and in an automated world, it is the only thing that will truly matter.

What is your 20%?