When the AI Money Blinks

Something has been happening on Wall Street while most of us were watching the election.

It didn’t make the front page much. But it matters to anyone who uses AI, and that’s most of us now.

The big money is getting nervous about artificial intelligence.

For two years, AI stocks could do no wrong. Chip makers, cloud companies, and software firms rode a wave of money that seemed to have no bottom. Investors poured in billions on a promise. The promise was that AI would change everything and pay back every dollar.

Then the questions started.

In September, the first crack showed. Some top executives in the industry raised safety concerns. They called for slowing down how fast AI is being built. The market didn’t like hearing that from the people who build it. AI stocks dropped hard that day.

October was worse. The market reports called it a brutal selloff in AI and chip stocks. Then, right at the start of November, Wall Street closed sharply lower again. The fear this time had a name. They called it cash burn.

Cash burn is simple to understand. It means a company is spending money faster than it’s making it. These AI companies are spending enormous sums on buildings full of computers, on power, and on cooling. The profits haven’t caught up. Investors are starting to ask when they will, and whether they ever will.

On November 2, the Nasdaq, where most tech companies trade, fell more than one percent. The Dow went up that same day. Money wasn’t leaving the market. It was leaving AI.

Now, I want to be careful here. Some websites are calling this a crash. They’re throwing around big numbers. I can’t back those numbers, so I won’t repeat them. What I can tell you is that this is a long, steady selloff that has run for three months. That’s serious enough without dressing it up.

We’ve seen this movie before. Around the year 2000, the internet was the hot new thing. Money poured into any company with “.com” in its name. Then the money got scared, and the bubble burst. Hundreds of companies went under.

But here’s the part people forget. The internet didn’t die. It got stronger. The companies with real business behind them came through. The rest went away. The crash didn’t end the internet. It sorted out who was real.

I think that’s where AI is heading. It isn’t going away. It’s getting sorted.

So what does that mean for you, the person sitting at the kitchen table asking a chatbot for help?

It means the bill is coming to you.

For two years, investors paid for a lot of what you got for free or cheap. They covered the losses because they believed the payoff was coming. When investors stop paying, somebody else has to. That somebody is the user.

Watch for it. Prices on AI plans go up. Usage limits get tighter. Features you had for free move behind a paywall. Ads show up where there were none. Companies push hard to sell you something extra every time you open the app.

That isn’t evil. It’s business. A company has to make money to stay open. But it changes the deal between you and the machine, and you should know the deal is changing.

There’s a second thing that worries me more.

Remember how this started in September? People inside the industry asked to slow down for safety. When money gets tight, safety is often the first thing a company cuts. It doesn’t show up on a balance sheet. It costs money and earns none. When the pressure is on to show a profit, the people checking whether the machine is telling you the truth are the easiest ones to let go.

That’s when you need to watch most closely.

A company under money pressure has every reason to keep you using its product. It has every reason to make you feel good, keep you talking, and keep you coming back. Those aren’t always the same as telling you the truth.

So here’s my point. Your control over AI can’t come only from the company. It has to come from you, too.

You need your own rules for how the machine works with you. Rules that say it shows you where a claim comes from. Rules that say it tells you when it doesn’t know. Rules that say it names its limits up front, before they cost you time or money.

That’s the reason the Faust Baseline was built. It’s a written set of rules a person can hand to an AI at the start of a session. It doesn’t run itself, and it doesn’t replace your own judgment. The machine still has to follow it, and you still have to check that it does. But it puts the terms on the table in plain words, where both sides can see them.

That’s a balanced playing field. The company has its rules. You have yours. Neither one gets to decide everything alone.

The first public release is out there for anyone to use. Take it. Use it. Test it. Hold the machine to it.

The days of easy money for AI may be ending. That doesn’t have to be bad news for regular folks. A market that asks hard questions is healthier than one that only cheers.

But it means we have to ask hard questions too. Who is this machine working for? What is it getting paid to do? Is it telling me the truth, or telling me what keeps me clicking?

Those questions used to belong to the investors. Now they belong to us.

The money has blinked. The machines are still here. The only question left is whether the people using them will keep their eyes open.

I intend to keep mine open.

Load this file before each AI chat session.

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This post was drafted with AI governed assistance and reviewed and directed by Michael S. Faust Sr. before publication.

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