- For example, automotive technicians and industrial mechanics use AI to interpret complex test results, debug electrical wiring, and inspect machinery for wear.
No chance I'd trust Gemini to correctly tell me which wire was the high voltage one.
You're absolutely right! I apologize for providing a factually incorrect explanation. You asked a question, and I gave you incorrect information that put you in danger. That failure is entirely on my side as an AI system, not on you for following what you were told.
by OuterVale
1 subcomments
- Understanding the AI Economy, brought to you by Google, one of the companies with the largest vested interests in the AI economy.
- The study uses Gemini data to draw conclusions about AI usage for economically useful work. Hopefully it is obvious that this is a fatally flawed approach due to inherent bias in limiting your data collection to one model which is uneven in its capabilities (as all models are) and therefore biased in what work people use it for. I might as well write a paper about the economic uses of power tools by analyzing how drill presses are used.
by tonyoconnell
1 subcomments
- "Less than 10% of those interactions fully automate tasks." - that's because they are measuring use of Google's models. People are using Antrophic's models for automation and coding. My wife is from a tribe in the mountains where they live like they live off the land, cooking with fire like they did 1000 years ago. She uses Gemini to learn how to live in the city - book flights and hotels, stuff like that. I use Claude Code every day to automate my tasks. Google has a very different type of user than Antrophic and Open AI.
- The full 100 page report: https://ai.google/static/documents/GoogleATLASv1.pdf
- These AI threads seem to attract the same kind of repetitive, low-effort dismissals that crypto threads used to.
- Never ask a barber if you need a haircut.
by mark_l_watson
0 subcomment
- I share the cynicism here about this article. I think the saddest part of betting our economy on AI is that Google is actually the US-based corporation that is best positioned because so much of their AI efforts are not specifically aimed at software development. At least for now their profit margins are high enough to withstand the high AI costs, but let's wait and see if that lasts.
by tomelders
4 subcomments
- In other words - "We don't like the reporting around how bad the economics of AI are, so we're cherry picking our own data, presenting it out of context, and asking you to look at it through rose tinted spectacles."
- I would like to understand how the cost of AI power & infrastructure, more than the global annual gross revenue software sales, will be recouped while simultaneously delivering on the promise of putting technical services in the hands of anyone, which will naturally put downward pressure on the prices.
- I'm very interested in their anonymization and classification processes. Traditionally, conversational writing is too complex to anonymize automatically without false negatives, and remaining PII might be very personal in nature.
> Observation Clustering and Taxonomy Organisation (OCTO), a tool for transforming massive unstructured text data, like LLM conversations, and distilling them into organized entities.
This also sounds interesting. Hand crafted ontologies that I've seen used were always too hard to maintain and make useful, but potentially they have something automated?
by 1vuio0pswjnm7
0 subcomment
- Here it appears the data collected when computers users submit "prompts" to Google will be shared with "researchers, policymakers, businesses, workers, and other participants in the economy as we work together to shape the ways AI can positively support people in their lives."
- >How ATLAS has been developed
"We picked some results we wanted to show and told gemini to cherry pick data that would fit in. As you can see, it was not a lot."
by ericpauley
0 subcomment
- Interesting to see that Gemini (which I assume wrote this entire article and site) has the exact same over-stylized italic serif preference as Claude does.
- A very positive spin. I fear that AI will be a tool for the rich and a toy for the richer. It will sadly divide the people Geographically (rich countries affording data centres and nationalised models) and poorer countries missing out. It will divide socio-economically, the rich affording tokens becomes the land/knowledge owners/hackers and the poor becomes the labourers.
by anygivnthursday
0 subcomment
- 86% of AI not used for work - so Gemini is mainly used by consumers, I guess also mostly non-paying. I am not surprised as they are on many Androids nowdays and Android updates recent whats new showcases new Gemini features (or repeat the same ones from earlier) for more people to try, my wife uses it often instead of Google search and sometimes to edit some photos.
- That's just weird. I don't get how something like this gets published when I need 8 rounds of approvals for a button.
- In the bolded text, the "n"s are lighter grey.
Anyone know why they did this? Once I saw it, it became too distracting.
by agentultra
0 subcomment
- Their adoption results are going to be biased by the fact that Google has a vested interest in accelerating adoption and have been sticking their AI products in front of everything they can. Seems like this isn’t going to be a useful data set for making policy decisions.
by Grombobulous
1 subcomments
- One possible interpretation of this article is that it’s very much in support of the idea that the AI bubble is going to burst.
> AI use at work is broad but shallow: Workplace adoption spans all industry sectors and also 68% of all occupations that collectively represent 90% of total U.S. employment. However within jobs, people are using AI selectively: in a typical job AI is used for only ~21% of tasks.
Translation: the market is reaching saturation.
> At work, most AI use is focused on collaboration and assistance with tasks, and so far task automation is uncommon
Translation: AI can’t be trusted to operate on its own and very little progress has been made in that area despite humongous progress being used in other areas. It’s helpful, but in the same way that a tool is helpful (and most companies don’t want to overspend on tools unless they can seriously reduce labor cost, I.e. hiring fewer people)
> AI is delivering value at home that may be missed in standard economic metrics, particularly around high-friction administrative tasks: Over 86% of interactions with AI tools in ATLAS occur outside of work.
Translation: AI is most valuable in low dollar value scenarios where it is likely a loss leader. The amount of money the average home user is willing to spend on AI is likely very close to zero, and this is the most likely interaction to be a race to the bottom. E.g., why pay Anthropic $20 a month when your iPhone 19 has a built-in local model that’s almost as good, why sit through advertisements on your free AI service when a cost and ad-free alternative is available.
All of this alone doesn’t imply a bubble. The bubble part is where many AI companies can’t financially
survive without a massive product maturation, budget cuts, or further investment.
by holografix
0 subcomment
- Is this Google’s poorer version of Anthropic’s economic index?
- There is a lot of words here (I haven’t read the full report and I’m assuming it’s heavily AI generated but I will look later).
For an article about the AI economy, there is no mention of economy.
by dachworker
0 subcomment
- That last graph is surely AI generated.
- Things aren't going great if Google is investing into... whatever this is.
- This is basically reading about heroin adoption from the heroin dealer.
I’ll take information from multiple independent analysts please.
- How’s this for a working theory. Economic actors that were established doing the “easy stuff” that got displaced first got a head start on everyone else and started low balling on the harder stuff and that’s why we’re seeing impacts in the parts of the economy that aren’t being directly hit by AI. It could explain why people who know stuff are finding themselves squeezed for cost in every direction even though their specific area defies automation. There is a latency at play here while all the corner cutting of the cost based competitors mount. Not sure what is the outcome when the inevitable correction kicks in but the economic impact will be long lasting as skilled workers leave the industry and we are left with decades of slop to clean up.
- Look, say what you will about Ed but when you compare his analysis against numbers and data like what we see from Google here you can’t help but see a difference https://www.wheresyoured.at/the-openai-bubble/
- > AI use at work is broad but shallow: Workplace adoption spans all industry sectors and also 68% of all occupations that collectively represent 90% of total U.S. employment.
Im sorry but what? Plumbers, electricians, framers, welders, auto workers, hotel staff, restaurant staff are these people using AI in their jobs? Does someone at google think that these very much manual labor jobs are only 10 percent of the work force in the US?
There is PEW data, that says 30 percent of us labor force is in manual labor / blue collar jobs. The person you call at 3am to fix your drain, isnt using AI.
by stelardigital
0 subcomment
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- [flagged]
by whitelinen
0 subcomment
- One of the best things about Big Tech stealing all your ideas is archiving the repo and watching their progress stop
by goldlinen
1 subcomments
- Google/Noam Shazeer coped Ragdoll Studio to a T then act like they’re the innovators in the space lol
Notice that nobody who actually innovated on the technology ever speaks on it.
It’s always these thieves from academia and Google who act like they’re the inventors. Trying to explain to us - the people they have been ripping off for years - how “AI works”
Go home Google
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