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resiros ◴[] No.44975274[source]
Here is the report: https://mlq.ai/media/quarterly_decks/v0.1_State_of_AI_in_Bus...

The story there is very different than what's in the article.

Some infos:

- 50% of the budgets (the one that fails) went to marketing and sales

- the authors still see that AI would offer automation equaling $2.3 trillion in labor value affecting 39 million positions

- top barriers for failure is Unwillingness to adopt new tools, Lack of executive sponsorship

Lots of people here are jumping to conclusions. AI does not work. I don't think that's what the report says.

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rawgabbit ◴[] No.44977288[source]
This stood out to me in the report:

      A corporate lawyer at a mid-sized firm exemplified this dynamic. Her organization invested $50,000 in a specialized contract analysis tool, yet she consistently defaulted to ChatGPT for drafting work: "Our purchased AI tool provided rigid summaries with limited customization options. With ChatGPT, I can guide the conversation and iterate until I get exactly what I need. The fundamental quality difference is noticeable, ChatGPT consistently produces better outputs, even though our vendor claims to use the same underlying technology." This pattern suggests that a $20-per-month general-purpose tool often outperforms bespoke enterprise systems costing orders of magnitude more, at least in terms of immediate usability and user satisfaction. This paradox exemplifies why most organizations remain on the wrong side of the GenAI Divide.
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1. johnnyanmac ◴[] No.44978769[source]
>This pattern suggests that a $20-per-month general-purpose tool often outperforms bespoke enterprise systems costing orders of magnitude more

$20/month? Is "mid-sized" different than I imagined, or was this 3-4 years ago? We're already seeing model subscriptions balloon.

I wouldn't be surprised if these approach typical enterprise prices in a few more years.