Enough with the AI FOMO, go slow-mo, says Domo CDO

"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

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OK

No comment on the content of the article, but I have to say bravo to whoever wrote that headline.

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!

> 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".

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.

> "There will be a reckoning when it comes to budgets around these things," he said, "because CFOs are starting to as 'Why are we spending all this money and not gaining anything?'"

Yea, currently the thinking seems to be, if we're spending money on tokens, the work is inherently worth it. However, this clearly cannot always be the case - one of the more difficult things I've worked on lately is tracking token usage to measurable work outputs, but measuring work output reliably is a notoriously difficult problem historically in tech, and opens a lot of uncomfortable conversations.

>>“… 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.

Kudos for the title

"futurist for data platform" - whatever happened to that Shingy guy?

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.

Domo is now apparently "Governed Data for AI Agents".

The desperation for commodity services and second-tier products to stay relevant is widespread. See also intercom.com "The only helpdesk designed for the AI Agent era".

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

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