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🔥 Margins don’t fail overnight

They collapse quietly, and long before you notice! 😲



Many industries are under serious margin pressure.


The reasons are familiar:


⚠️ Intense competition

⚠️ Price pressure

⚠️ Limited customer budgets

⚠️ Rising energy and raw-material costs

⚠️ Macro uncertainty


Even highly differentiated markets like AI are feeling it.


For example, in a recent post, Gary Bailey highlighted that OpenAI may be operating at margins as low as -70%.


So here’s the real question:

👉 How easy is it to “just” raise prices to fix margins? Short answer: It depends heavily on your starting point! 📈

There’s a simple formula that estimates the price increase needed to reach a target margin (m) from an initial margin (m₀). This is independent of volume changes:


p = (m-m0)/(1-m)
(p: % change of price, m: % target margin, m0: % initial margin)

Using this logic, we can build a matrix that shows how starting margins lock in future profitability.


Back to the OpenAI example:


➡️ From -70% margin, breaking even requires ~70% price increase

➡️ Reaching a 25% margin requires a 2–2.5× price increase


That’s not tuning.

That’s structural change. 😲


Which usually means:


  • Major cost reductions (often outside your control), and/or

  • A new monetization model (usage-based, ads, tiers, etc.)


Why so extreme?


👉 Because low starting margins anchor everything that comes next.


Now flip the scenario.


If margins were 10% today, reaching 25% would require only a ~20% price increase.


If you pay $20/month for ChatGPT today, would you pay $24?

Most users would.


That’s the power of a strong margin foundation.


The lesson for business leaders:


✅ The obvious: Control costs early → weak discipline compounds fast

✅ The less obvious (but critical): Price seriously from day one → bad pricing anchors future pain


Many companies chase penetration and underinvest in pricing. That imbalance can hurt future profitability even for great products. 💡




Interested in learning more about AI-Powered Price Optimization and Strategic Forecasting?



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