FWIW, these studies are too early. Large orgs have very sensitive data privacy considerations and they're only right now going through the evaluation cycles.

Case in point, this past week, I learned Deloitte only recently gave the approval in picking Gemini as their AI platform. Rollout hasn't even begun yet which you can imagine is going to take a while.

To say "AI is failing to deliver" because only 4% efficiency increase is a pre-mature conclusion.

OpenAI is buying up like half of the RAM production in the world, presumably on the basis of how great the productivity boost is, so from that perspective this doesn't seem any more premature than the OpenAI scaling plan. And the OpenAI scaling plan is like all the growth in the US economy...

> Rollout hasn't even begun yet which you can

If rollout at Deloitte has not yet begun... How on earth did this clusterfuck [0] happen?

> Deloitte’s member firm in Australia will pay the government a partial refund for a $290,000 report that contained alleged AI-generated errors, including references to non-existent academic research papers and a fabricated quote from a federal court judgment.

[0] https://fortune.com/2025/10/07/deloitte-ai-australia-governm...

I'm not sure this is even measuring LLMs in the first place! They say the definition is "big data analytics and AI".

Is putting Google Analytics onto your website and pulling a report 'big data analytics'...?

Exactly, my company started carefully dipping their toes in to org wide AI mid last year (IT has been experimenting earlier than that, but under pretty strict guidelines from infosec). There is so much compliance and data privacy considerations involved.

And for the record I think they are absolutely right to be cautious, a mistake in my industry can be disastrous so a considered approach to integrating this stuff is absolutely warranted. Most established companies outside of tech really can’t have the “move fast break things” mindset.

Yeah. We are only just beginning to get the most out of the internet, and the WWW was invented almost 40 years ago - other parts of it even earlier. Adoption takes time, not to speak of the fact that the technology itself is still developing quickly and might see more and more use cases when it gets better.

Meanwhile, "shadow" AI use is around 90%. And if you guess IT would lead the pack on that, you are wrong. It's actually sales and hr that are the most avid unsactioned AI tool users.

Looking at the study, +4% is what they get when they chose to adopt AI, not overall.

Yes I was recently talking to a person who was working as a BA who specializes in corporate AI adoption- they didn’t realize you could post screenshots to ChatGPT

These are not the openclaw folks