With the recent launch of the AISA Score - The AI Fluency Assessment marking 9 months since our first launch, we now work with many enterprises and have over 3,300 individual assessments completed. One thing is very clear to me now.
AI fluency is really the new currency both to find and keep a job, but also to solo-build or optimise the personal life. We are passed the point of discussion AI IS GOOD / AI IS BAD. It just is a new technology.
Now it's up to individuals to use it in good taste, bad taste, with skill or bluntly. Bad AI judgement leads to AI slop, good judgement and skillful usage, with high fluency of the AI ecosystem leads to sci-fi like results.
This is especially becomming apparent in the enterprises we work with. There are whole teams where the score range is 14-92. Imagine that, in one meeting room there are two people who have each an AISA Score of 14 and 92 out of a 100, and they are trying to make decisions together.
The other clear theme that's emerging to me is that if 2026 was the year of AI training become "a thing", 2027 onwards will be a period marked by generic AI training not being enough and each team and function needing training tailored to their gap areas (this is what we are positioning to serve).
What are your thoughts?
AI is not a self-driving car. It needs a good driver. The AISA Score is the driving test.
(Scroll to the end to review AI research insights based on 3,300 assessments so far.)
Your company has rolled out AI tools. Do you know who can actually use them well?
I'm Ozan, founder of AISA. When we launched here in April, AISA was mostly people testing their own AI fluency. Since then, and 3,000+ assessments later, organisations have been asking a bigger question: where does our whole workforce stand?
So this relaunch is AISA for organisations:
Measure: everyone has a 20 to 40 minute conversation with Aisa and gets an AISA AI Fluency Score from 0 to 100
Improve: the dashboard shows the gaps by team and by skill, so you aim AI training at the right people with real data
Prove: re-assess after training and show the board what moved
For individuals nothing changes: it's free, and you keep your full report and a certificate for LinkedIn.
Two things I'd love your feedback on:
Take it and tell me where your score surprised you.
If you lead L&D, HR or AI transformation: how do you measure AI skills today?
A few things 3,000+ assessments taught us (from the AISA AI Fluency Index):
The average AISA Score is 48/100. Most professionals sit in the Developing tier.
Two in three people (67%) score below Proficient. Only 1.3% reach Expert.
People overestimate their own AI skills by 19 points on average. The least fluent overestimate by 40.
In one team (same company, same tools, same training budget), scores ranged from 15 to 97.
The most common AI persona is The Dabbler (29%): tries things, no rhythm yet.
More on most of these in our AI fluency Index and Blog Analysis on AI upskilling.