"Why aren't people more resentful that these companies have pushed this technology upon them and now everyone is feeling a tremendous amount of anxiety," - Chris Willis, chief design officer and futurist for data platform biz Domo
> Governed Data for AI Agents
> Built with trusted AI models in mind
> Enterprise AI for your business data
> Connect your business data. Build AI-powered dashboards, agents, and automations. Skip the roadblocks.
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Thing is, software isn't the issue when building a business - Dropbox being a great example because even now people are like "but that's just rsync-as-a-service". Software and making a business out of it are two different things.
i have had domo pushed on me in a company and i did everything in my power to get us to cancel that subscription and we did. it was such a waste of money. If I was able to rebuild our entire reporting workflow in a month, imagine how fast it is now to build dashboards for leadership with LLMs now?
also what – chief design officer and futurist for DOMO?? what do they do?
Strong agree with the premises of the article: I like the framing that the AI hype-masters are successful because they instill a fear of missing out in corporate leaders.
I have worked with old fashioned neural networks, deep learning, and now LLM-specific deep learning: wonderful technology, but over hyped, and advice to go a little slowly, with firm use cases that are financially viable is great advice!
There is like 0 cost for distribution, switching and using LLMs "AI" and other tools. Whatever comes, comes to everybody. There is basically 0 first movers advantage, that cannot be overcome in couple of months when new usefull tools become available.
> The result is a lot of proof-of-concept projects that lack what's required to make them durable, trustworthy, and deployable at scale. Starting with business needs first is essential.
A bunch of frivolous projects that fail sounds to me like a pretty good way to learn how far a new technology can be trusted.
If you're considering putting AI into something load bearing you either need a engineer who has not been participating so they can say "no" or one who has made 15 failed AI projects so they can say "maybe". The very worst case is to pressure somebody who doesn't know the technology very well into saying "yes".
> ...learn how far a new technology can be trusted
I think you've missed the point of this statement:
> Starting with business needs first is essential
This is a negative shift I've seen in product now. Instead of emphasizing with the user and trying to understand the domain, processes, real-world usage scenarios, product teams are now building junk prototypes and throwing these over the wall at the user. Maybe this works for some spaces and domains.
But the reality is that for many end consumers of software, it's not a good experience to use janky software that changes behaviors, flows, and screens on a whim now because product can.
I think AI has had a negative effect on product teams; I can see all pretense of thoughtful design and execution after understanding the customer being thrown out the window and leaving a much worse end-user experience as designs and capabilities shift around without foresight and product teams "feel" their way through.
the problem is that companies fundementally misunderstand what the true issue is at hand: companies should be afraid of what smaller groups of people can accomplish now.
mid to large sized companies always had to man-power to produce anything they could imagine and AI is not going to change that.
what will change is that your paid product will become free because someone got annoyed at a bug with your paid product, remade it with AI and made it opensource or for a fraction of the price.
the floor has been raised while the ceiling will stay relatively the same, most medium to large companies were already hovering around the ceiling so at the end of the day the framework that these companies were built on is crumbling and that's what should make them afraid, not the fact that they're 'missing out' on AI.
>>“… wonders why people aren't more annoyed with AI companies “
Outside a small bubble within Silicon Valley and the finance ecosystem funding it, I’d say most folks are increasingly fed up with AI.
It’s a very noticeable shift these last 6 months. The mood went from excited, to just annoyed at all the slop and folks using AI as a half-baked easy button vs doing real deep value-add thought.
Business is also noticing that the ROI simply isn’t there and a lot written about this. That doesn’t bode well for AI providers that need to massively increase prices to make the math work on their business models.
The world inside of the AI bubble seems largely ignorant of the mood shift underway, which suggests interesting times are ahead.
I speak to people who work at the upper echelons across various industries regularly and whether you want to believe it or not idc - the management are desperately trying to push AI but it just doesn’t add much value to what they do. At best it’s just a really good search engine across internal data. Many of these places already had things called macros in place so there’s barely any value add.
Indeed, and HN also has a huge "pro-AI" bias... everytime you make a comment to point out that AI is first and foremost a political artefact, rather than a technology, and that it will be weaponized against people, they downvote...
Although they know perfectly well what happened to their search / personal data, but they still don't want to see the obvious
There's a lot of overlap between people who cannot stand the AI boosters, don't want a data center built anywhere near them, are sick of the slop, and still use a chatbot for some stuff.
I don't think this is hypocrisy. I don't think it's a contradiction at all.
It suggests that people actually like natural language interfaces where they make sense and the price is reasonable. What they don't like is the rhetoric, behavior, impact on electricity prices, insistence on cramming it into places where it doesn't belong, layoffs, threats, and general obnoxiousness of the people pushing it and their general milieu.
I think people have stopped giving tech companies the benefit of the doubt, unlike the start of the social media era and the smartphone era.
Both of those things did transform life & culture but mostly to the benefit of their makers. People now expect the same from AI and for better or worse most of the CEOs are not even pretending this time. The most they do is some vague hope that it'll all workout magically somehow.
I think it's just hard to know this for the people working on it. AI radically changed my life. I'm doing at least 10 times more, more ambitious, higher quality work. I've been listening to people around me talking about alignment and the singularity for almost a decade. It's strange to imagine that people live in a world where this isn't and hasn't been happening for a while now. "Over-hyped" is not the word I would use if I take my daily experience as an example, nor when I consider even lower-bound projections.
There is kind of a spec - its capture knowledge work / thought so they can sell it back to you. Just how uber captured delivery/taxi making it all cheap and subsidised to start with the goal is to embed it everywhere and make people dependent. And then maybe some hope in the future they no longer have to pay anyone, or maybe pay people far less and devalue them.
"Why aren't people more resentful that these companies have pushed this technology upon them and now everyone is feeling a tremendous amount of anxiety," - Chris Willis, chief design officer and futurist for data platform biz Domo
> Governed Data for AI Agents
> Built with trusted AI models in mind
> Enterprise AI for your business data
> Connect your business data. Build AI-powered dashboards, agents, and automations. Skip the roadblocks.
> Use the best from OpenAI, Anthropic, and more. Domo provides hosted models from the top providers, or you can access your own models inside of Domo through our AI connectors.
https://www.domo.com
https://www.domo.com/ai
OK
Is the CDOs statement to be read as "We have no moat."?
We have the infamous "Dropbox" is a weekend project, well now I'd say we are in the era of it.
And I bet I could build within 5 working day a Saas replacement of Domo.
There is no moat anymore.
Thing is, software isn't the issue when building a business - Dropbox being a great example because even now people are like "but that's just rsync-as-a-service". Software and making a business out of it are two different things.
i have had domo pushed on me in a company and i did everything in my power to get us to cancel that subscription and we did. it was such a waste of money. If I was able to rebuild our entire reporting workflow in a month, imagine how fast it is now to build dashboards for leadership with LLMs now?
also what – chief design officer and futurist for DOMO?? what do they do?
No comment on the content of the article, but I have to say bravo to whoever wrote that headline.
Bravo to the Domo CDO, who's fomo won't stop slo-mo no-mo'
Yolo Domo Arigato
Mr. Roboto
Oh...
Another Chuck fan I see. I'm glad to see I'm not alone.
Domo CDO says no mo slop yo
won't stop with no slop slo-mo no-mo'
Not quite 'HEADLESS BODY IN TOPLESS BAR,' but damn close.
I was hoping for "CDOmo" at the end.
Reminds me of the Arrested Development scene: Bob Loblaw Lobs Law Bomb.
Also the tongue twisters from princess carolyn
Strong agree with the premises of the article: I like the framing that the AI hype-masters are successful because they instill a fear of missing out in corporate leaders.
I have worked with old fashioned neural networks, deep learning, and now LLM-specific deep learning: wonderful technology, but over hyped, and advice to go a little slowly, with firm use cases that are financially viable is great advice!
There is like 0 cost for distribution, switching and using LLMs "AI" and other tools. Whatever comes, comes to everybody. There is basically 0 first movers advantage, that cannot be overcome in couple of months when new usefull tools become available.
> The result is a lot of proof-of-concept projects that lack what's required to make them durable, trustworthy, and deployable at scale. Starting with business needs first is essential.
A bunch of frivolous projects that fail sounds to me like a pretty good way to learn how far a new technology can be trusted.
If you're considering putting AI into something load bearing you either need a engineer who has not been participating so they can say "no" or one who has made 15 failed AI projects so they can say "maybe". The very worst case is to pressure somebody who doesn't know the technology very well into saying "yes".
I think you've missed the point of this statement:
This is a negative shift I've seen in product now. Instead of emphasizing with the user and trying to understand the domain, processes, real-world usage scenarios, product teams are now building junk prototypes and throwing these over the wall at the user. Maybe this works for some spaces and domains.
But the reality is that for many end consumers of software, it's not a good experience to use janky software that changes behaviors, flows, and screens on a whim now because product can.
I think AI has had a negative effect on product teams; I can see all pretense of thoughtful design and execution after understanding the customer being thrown out the window and leaving a much worse end-user experience as designs and capabilities shift around without foresight and product teams "feel" their way through.
the problem is that companies fundementally misunderstand what the true issue is at hand: companies should be afraid of what smaller groups of people can accomplish now.
mid to large sized companies always had to man-power to produce anything they could imagine and AI is not going to change that.
what will change is that your paid product will become free because someone got annoyed at a bug with your paid product, remade it with AI and made it opensource or for a fraction of the price.
the floor has been raised while the ceiling will stay relatively the same, most medium to large companies were already hovering around the ceiling so at the end of the day the framework that these companies were built on is crumbling and that's what should make them afraid, not the fact that they're 'missing out' on AI.
>>“… wonders why people aren't more annoyed with AI companies “
Outside a small bubble within Silicon Valley and the finance ecosystem funding it, I’d say most folks are increasingly fed up with AI.
It’s a very noticeable shift these last 6 months. The mood went from excited, to just annoyed at all the slop and folks using AI as a half-baked easy button vs doing real deep value-add thought.
Business is also noticing that the ROI simply isn’t there and a lot written about this. That doesn’t bode well for AI providers that need to massively increase prices to make the math work on their business models.
The world inside of the AI bubble seems largely ignorant of the mood shift underway, which suggests interesting times are ahead.
Agreed. This place is legit delululand.
I speak to people who work at the upper echelons across various industries regularly and whether you want to believe it or not idc - the management are desperately trying to push AI but it just doesn’t add much value to what they do. At best it’s just a really good search engine across internal data. Many of these places already had things called macros in place so there’s barely any value add.
It took the desktop computer revolution about two decades to show up in productivity statistics. Itt takes time to adapt.
Even within SV there are still luddites who sometimes type out code, in mid 2026!!!
Indeed, and HN also has a huge "pro-AI" bias... everytime you make a comment to point out that AI is first and foremost a political artefact, rather than a technology, and that it will be weaponized against people, they downvote...
Although they know perfectly well what happened to their search / personal data, but they still don't want to see the obvious
I agree, and with a little nuance:
There's a lot of overlap between people who cannot stand the AI boosters, don't want a data center built anywhere near them, are sick of the slop, and still use a chatbot for some stuff.
I don't think this is hypocrisy. I don't think it's a contradiction at all.
It suggests that people actually like natural language interfaces where they make sense and the price is reasonable. What they don't like is the rhetoric, behavior, impact on electricity prices, insistence on cramming it into places where it doesn't belong, layoffs, threats, and general obnoxiousness of the people pushing it and their general milieu.
Which makes perfect sense.
I think people have stopped giving tech companies the benefit of the doubt, unlike the start of the social media era and the smartphone era.
Both of those things did transform life & culture but mostly to the benefit of their makers. People now expect the same from AI and for better or worse most of the CEOs are not even pretending this time. The most they do is some vague hope that it'll all workout magically somehow.
I think it's just hard to know this for the people working on it. AI radically changed my life. I'm doing at least 10 times more, more ambitious, higher quality work. I've been listening to people around me talking about alignment and the singularity for almost a decade. It's strange to imagine that people live in a world where this isn't and hasn't been happening for a while now. "Over-hyped" is not the word I would use if I take my daily experience as an example, nor when I consider even lower-bound projections.
>I'm doing at least 10 times more, more ambitious, higher quality work.
Got any examples you can share?
Cocaine radically changed my life. I'm doing at least 10 times more, more ambitious, higher quality work.
To say it briefly:
>Why aren't people more resentful that these companies have pushed this technology upon them
They are.
"futurist for data platform" - whatever happened to that Shingy guy?
Kudos for the title
Doh.
Too many "o"s.
There is kind of a spec - its capture knowledge work / thought so they can sell it back to you. Just how uber captured delivery/taxi making it all cheap and subsidised to start with the goal is to embed it everywhere and make people dependent. And then maybe some hope in the future they no longer have to pay anyone, or maybe pay people far less and devalue them.
"Domo Says No to AI FOMO"
FTFY the headline for you
Domo Says No Mo' to AI FOMO
DOMO CDO: Yo, No Go YOLO AI FOMO, bro