Blue Ocean strategy (Kim & Mauborgne) splits markets into red oceans (heavy competition in existing markets) and blue oceans (new uncontested spaces). Red oceans fight for share. Blue oceans create demand.

In the AI era this is interesting in two opposing ways.

Tension 1: AI makes finding blue oceans easier

AI knows industries broadly. You can ask: "List 10 standard assumptions this industry takes for granted. Which could be challenged?"

This is Blue Ocean's core: the ERRC framework (Eliminate, Reduce, Raise, Create):

Eliminate — factors the industry takes for granted that don't add value anymore
Reduce — factors that could be lowered without loss
Raise — factors that could be raised well above industry standard
Create — entirely new factors not present in the industry

AI is excellent at the first step: listing the standard assumptions. What does every industry treat as obvious?

Tension 2: AI makes exploiting blue oceans harder

At the same time, AI levels the playing field. If you find a blue ocean, AI also helps competitors find the same in less time. Blue oceans turn red faster than ever.

This changes the game. A good Blue Ocean strategy in 2026 isn't just "find a blue ocean" — it's "build something that stays blue even when competitors quickly follow".

That's built from things AI doesn't produce:

Customer relationships that are personal
Brand that resonates with a specific community
Data only you collect from user behavior
Networks that require referrals to access
Execution speed competitors can't match

ERRC framework with AI

E — Eliminate: "What industry standard isn't needed anymore?" E.g., classic car rental: reception time, insurance complexity, mileage limits. Uber/Lyft eliminated all of these.

R — Reduce: "What could be lowered far below standard?" E.g., Southwest reduced route count, customer service touchpoints, meal service. Result: cheaper but more functional.

R — Raise: "What could be raised far above standard?" E.g., Cirque du Soleil raised atmosphere, art, choreography far above circus standard.

C — Create: "What entirely new could you bring?" E.g., Apple's App Store created a completely new platform concept for phones.

In Innovaidor

In Innovaidor this is built into the conversation. You activate the method, feed your idea, AI challenges industry assumptions and creates ERRC lists. Output: a document with the industry's anchor points and your possible deviations.

Most important: you probably won't succeed in all four areas. A good Blue Ocean strategy wins on one Create item and two Eliminate/Reduce items.

Closing

Blue Ocean isn't "find a place without competition" — it's "build something so different that current competition isn't relevant". AI helps generate options fast. Your work is to pick an option whose execution survives the fact that competitors with AI will follow you in a month.

Start by asking yourself: what's an industry obvious that may have never been properly questioned?