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95% of Companies See 'Zero Return' on $30B Generative AI Spend

(thedailyadda.com)
418 points speckx | 1 comments | 21 Aug 25 15:36 UTC | HN request time: 0.304s | source
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jawns ◴[21 Aug 25 16:36 UTC] No.44974805[source]▶
Full disclosure: I'm currently in a leadership role on an AI engineering team, so it's in my best interest for AI to be perceived as driving value.

Here's a relatively straightforward application of AI that is set to save my company millions of dollars annually.

We operate large call centers, and agents were previously spending 3-5 minutes after each call writing manual summaries of the calls.

We recently switched to using AI to transcribe and write these summaries. Not only are the summaries better than those produced by our human agents, they also free up the human agents to do higher-value work.

It's not sexy. It's not going to replace anyone's job. But it's a huge, measurable efficiency gain.

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jordanb ◴[21 Aug 25 16:50 UTC] No.44975016[source]▶
We use Google meet and it has Gemini transcriptions of our meetings.

They are hilariously inaccurate. They confuse who said what. They often invert the meaning "Joe said we should go with approach x" where Joe actually said we should not do X. It also lacks context causing it to "mishear" all of our internal jargon to "shit my iPhone said" levels.

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1. ricardonunez ◴[21 Aug 25 17:04 UTC] No.44975247[source]▶
I don’t know how it can confuse because input on mic is relatively straight forward to get. I use fathom and others and they are accurate, better than manual taken. Interesting take, that I don’t memorize 100% on the calls anymore since I rely on note takers, I only remember the major points but when I read the notes, everything comes clear.