[HN Gopher] The Fall 2024 Workforce Index Shows AI Hype Is Cooling
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The Fall 2024 Workforce Index Shows AI Hype Is Cooling
Author : zer0tonin
Score : 25 points
Date : 2024-11-12 22:11 UTC (48 minutes ago)
(HTM) web link (slack.com)
(TXT) w3m dump (slack.com)
| cj wrote:
| I'm the "IT guy" at our 30 person startup.
|
| My 2024 stance is "buy every AI add-on and decide whether to keep
| it next year"
|
| So our team has access to Enterprise ChatGPT, Gemini, Notion AI,
| Slack AI, and basically every AI add-on in every SaaS platform
| that offers it as an upsell (Github Copilot, ReadMe AI, etc).
|
| 2024 is the year of "I don't know what the hell these AI tools
| are going to be useful for, so let's buy them all"
|
| 2025 will be the year of "Ok, we spent $xxx on all these AI tools
| last year, is anyone actually using them?"
|
| I predict we'll be canceling a lot of those subscriptions. Which
| all in cost us over $100/mo per employee.
| fsndz wrote:
| that's a nice strategy for a 39 person startup ! using the
| tools is indeed the only way to see what works and what
| doesn't.
| rollinDyno wrote:
| This makes sense for the current add-on wave but expect the
| launch of independent AI platforms to increase in the coming
| year.
| seattleeng wrote:
| This is exactly how Ive seen things occur. It makes a lot of
| sense, given some tools are great new additions (coding
| especially), but others fall flat (IMO, search)
| fsndz wrote:
| I am not surprised at all. The excitement is receding in
| accordance with the hype cycle theory. People tried the tools and
| saw their worth and the limitations. This is actually good news,
| it means we are entering a moment of truth, a moment when
| transforming knowledge into productivity and profits becomes
| crucial ! (https://www.lycee.ai/blog/large-language-models-
| productivity...)
| ghaff wrote:
| I sort of hate the Gartner hype cycle as a research tool but I
| think there's a lot of truth to it directionally.
| voidfunc wrote:
| The big winner for AI at the end of the day is going to be
| Microsoft and Microsoft-like companies that can integrate AI and
| Copilots into existing tools, with an understanding of how those
| tools are used by daily users and without significantly
| increasing prices.
|
| The rest of it? Mostly useless.
| hipadev23 wrote:
| Incumbents (Google, Microsoft, Adobe) seem to broadly struggle
| at reasonable integration of AI. Just look at windows/github
| copilot compared claude desktop or cursor.
| asdev wrote:
| who is actually making sustainable revenue solving a real problem
| using AI? I can only think of the foundational models(OpenAI,
| Gemini etc), coding helpers(Cursor, GH Copilot)
| cadence- wrote:
| It might not always be possible to directly translate it to
| revenue, but in my company, we started using an RAG system to
| help the Customer Support team answer inquiries. It replaced
| the old Knowledge Base articles search system, and it improved
| the number of processed inquiries by about 30%. This decreased
| customer support times and probably helped make customers
| happier, which is a pretty nice win, even if it would be pretty
| much impossible to attribute any revenue numbers directly to
| it.
| cadence- wrote:
| It's nice to see that the hype is cooling. There will be more
| room to focus discussions on what's actually useful, and stop
| with the endless "I love it", vs. "I hate it", vs. "I fear it"
| discussions.
| gradus_ad wrote:
| The only AI product I've found to be useful is ChatGPT and the
| like. Just chatting it up with a GPT, exploring ideas, getting
| feedback etc. All derivative products, including coding tools,
| have been unhelpful at best and actively harmful to productivity
| at worst.
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