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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: 0.206s | 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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1. Terr_ ◴[21 Aug 25 16:42 UTC] No.44974874[source]▶
I think the biggest issue is accurately estimating the LLM failure risk, and what impacts the company is willing to tolerate in the long term. (As distinct from what the company is liable to permit through haste and ignorance.)

With LLMs the risk is particularly hard to characterize, especially when it comes to adversarial inputs.