Outrage Sells AI, And It Is Costing You Money
An AI commentator admitted publicly that outrage gets more views than accuracy, and then, not long after, went after somebody else for being too negative.
I am less interested in that particular person than in the machine they were describing, because that machine is currently shaping how business owners in this valley make decisions about technology, and it is costing them real money.
The incentive is doing exactly what it is designed to do
Strong emotion produces sharing. Sharing produces reach. Reach produces income.
Nothing in that chain rewards being right. Being right is at best neutral for reach, and frequently negative, because accurate takes on AI are usually qualified, moderate, and boring. It depends, it will take longer than they say, the effect will be uneven. Nobody shares that.
So the content that reaches you has been filtered, hard, for emotional charge rather than accuracy. Not by a conspiracy. By arithmetic.
The two expensive errors it produces
Fear buying. You read that most businesses will not survive the next two years, feel the floor move, and buy something. The purchase is not evaluated properly because the emotion supplied the urgency. Three months later you are paying for a tool nobody uses, and the purchase taught you nothing except distrust of the whole category.
Freezing. The opposite response and equally common. The threat is described as so total that nothing you do seems to matter, so you wait for clarity. Two years pass. A competitor who quietly fixed their response time is now taking calls that used to come to you.
Both errors come from the same source. Emotional content is calibrated to produce a feeling, not a decision, and a feeling converted directly into a decision without an intervening step is almost always the wrong decision.
The intervening step
Put a week between reading something and acting on it.
That is the entire defense and it is close to free. Almost nothing in AI requires you to act the same day. The tools will still be there next week, usually cheaper. If something still looks important seven days later, when the emotional charge has drained out of it, it is probably real.
Manufactured urgency does not survive a week. That is precisely what makes it a useful filter.
What calm sources actually look like
Boring, specific, and checkable.
Release notes for the tools you already pay for. The changelog. The terms of service when they change. A note from somebody who built the thing describing exactly where it broke and what they did.
None of that will ever go viral, which is why you have to go get it rather than waiting for it to arrive in your feed. Thirty minutes a week on that material will leave you better informed about your actual exposure than daily consumption of commentary, because it covers the three things that reach a business, price, terms, and shipped capability, and skips everything that does not.
The self applied version
I write about this industry daily, which means I am inside the same incentive I just described.
The check I use is whether a piece contains something specific enough to be wrong. A dated fact, a named mechanism, a claim about what happens that could turn out false. If a piece of mine is all framing and no checkable content, it is entertainment, and I should either fix it or not publish it.
You can apply that test to me and to everyone else. It sorts quickly, and it is roughly the only defense that scales.
What to do with the time you get back
Spend it on your own operation instead of the industry's drama.
The businesses that come out of this stretch well are not the ones that followed AI news most closely. They are the ones who understood their own process well enough to point a cheap tool at the right part of it. That work is quiet, unshareable, and worth more than every hot take you will read this year.
Common questions
Why is so much AI content emotionally charged?
Because strong emotion drives sharing, and sharing drives reach. Content that makes you afraid or angry outperforms content that makes you informed, so the incentive selects for it.
How does that cost a business owner money?
Fear and urgency push people toward fast, poorly evaluated purchases and away from slow investments that actually compound. Both errors are expensive.
Does that mean the concerns are fake?
No. Real things are happening. The problem is that the emotional packaging makes it hard to tell which parts are real and how urgent they actually are.
What is the practical defense?
Introduce a delay between reading and deciding. Almost nothing in AI requires you to act the same day, and a week of distance dissolves most manufactured urgency.
How do I find calmer sources?
Prefer primary sources and people who publish specific, checkable claims. Release notes and terms of service are boring and far more useful than commentary.
This is part of AI For Santa Clarita Businesses: A 2026 Field Guide, the working guide to what AI is actually worth to a business in Santa Clarita.
Connor T. MacIvor · CalDRE #01238257 · Sync Brokerage, Inc. · DRE #02031490