OpenAI broke its own AI's search tool on purpose to see if the AI would own up. The cheapest model hid the problem nearly three times in ten and just guessed. Sound like a cost report you've seen?

In this episode, I break down OpenAI's GPT-6.1 Sol launch. OpenAI says it nearly matches their flagship model on professional work at a fifth of the price, reads complex PDFs better than a rival top model at less than half the cost, and has cut its error rate on hard questions from 11.4% to 7.7%. Intelligence is becoming a commodity. So what will clients still pay a premium for? In my experience, the dangerous number in a cost report is rarely the wrong one. It's the guess nobody flagged. This one's for experienced QSs going independent, or growing a consultancy, who want to charge for value, not hours.

In this episode you'll learn: - Why near-genius getting 80% cheaper changes what your fee is really for - How to match the tier to the task, so you're not doing graduate work at partner rates - A simple system for surfacing every best guess in a cost plan: estimated, benchmarked or quoted - Why you still check the fine print yourself, even when AI reads the PDF - How to package honest assumptions as a deliverable clients will pay more for

Timestamps 00:00 The AI that just guessed 00:38 What OpenAI released: Astra, Sol and Luna 01:17 The numbers from the launch 02:07 The broken-tool test 02:49 Why this matters to QSs 03:36 Lesson 1: Match the tier to the task 04:19 Lesson 2: Surface the best guess 04:54 Lesson 3: Check the fine print 05:22 The opportunity: sell the certainty 06:11 Your action this week

Your action this week: open your last cost report, list every figure that was really a best guess, and mark which ones you told the client about. Ten minutes. Then post your count in the community.

Join the Six Figure Consultant community on Skool: https://www.skool.com/quantity-surveying-coaching-9986/about Watch the video version on YouTube: https://www.youtube.com/@sixfigureconsultant Connect with me on LinkedIn: https://www.linkedin.com/in/pauledqsai/

Figures are OpenAI's own launch claims and haven't been independently tested on QS work.

Question everything.  

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