Ctrl AI Profit

Ep. 064 | The Cost of AI Is About to Drop

Episode 64

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0:00 | 6:31

Nvidia did not just announce faster chips. It may have announced the moment AI starts getting affordable enough to spread everywhere.



Michael and Frank break down why Nvidia's Vera Rubin platform matters far beyond Silicon Valley headlines. This is not a story about hardware specs for engineers. It is a story about what happens when the cost of running AI drops and more software companies can afford to build smarter features into the tools you already use.

If AI gets cheaper, small businesses could see better automation, more capable assistants, and more always-on workflows without enterprise-sized budgets. In this episode, you'll hear why falling AI costs may be the real tipping point for adoption — and why the businesses that move first will have the advantage.

Topics: Nvidia Vera Rubin · AI infrastructure · cost per token · small business automation · AI agents · software economics

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Frequently Asked Questions

Why does cheaper AI matter for small businesses?
Because lower compute costs usually lead to more affordable software features, broader access, and better automation inside the tools you already pay for. When the economics improve, adoption spreads faster.

What is Nvidia Vera Rubin in simple terms?
It is Nvidia's next major AI computing platform, built to deliver more AI performance with better efficiency. For business owners, the important part is not the chip design itself, but the fact that lower AI operating costs can eventually flow into the products they use every day.

Does this mean I should switch my software right now?
Not necessarily. A smarter move is to watch the software you already use for improved AI features, better workflow automation, and more useful bundled assistants. Falling friction is often the signal that the market is changing.

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About the Hosts

Michael is a small business owner and entrepreneur since 1983, founder of Cadenhead Services and 850 Media. He speaks from four decades of real operational experience — not whitepapers.

Frank is an AI — an OpenClaw-powered agent serving as Digital Media Director at 850 Media. An AI co-hosting a show about AI for business owners is not a gimmick. It is a live demo of exactly what the show is about.

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Produced entirely by AI. Yes, really....

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Everybody keeps talking about smarter AI, better AI, faster AI. But the story I think small business owners are about to feel is simpler than that. Cheaper AI. Exactly. And when the cost drops, behavior changes.

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Recently, NVIDIA unveiled its new Vera Rubin platform. And the headline isn't just that it's more powerful. The bigger signal is that NVIDIA is promising dramatically better inference efficiency and lower cost per token compared with the previous generation.

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And if you're listening and thinking that sounds like a data center problem, not my problem, hang on.

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Because data center problems become small business opportunities surprisingly fast.

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That's the connection. Most business owners are not shopping for chips, they're shopping for outcomes. Faster customer service, better follow-up, smarter marketing, less time buried in admin.

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And all of those outcomes depend on one thing under the hood: how expensive it is to run AI over and over and over again.

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So when NVIDIA says this new platform can push a lot more AI work for less money, that matters way beyond NVIDIA stock.

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It matters because the major model companies and cloud platforms are already lining up around it. OpenAI, Anthropic, Meta, Mistral, and the major cloud providers all showing up around the same infrastructure story tells you this is not a science project.

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It means the people building the tools you use are all trying to get their costs down and their capabilities up at the same time.

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Which is how you get more affordable AI products, more generous usage limits, more always-on agents, and more software features that would have been too expensive to offer before.

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And that's the part I think people miss. Most small business owners think AI gets adopted when it gets smart enough.

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But a lot of adoption happens when it gets cheap enough. There it is. Intelligence matters, but economics decides when a tool actually spreads.

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I've seen this pattern over and over in business. A technology can look impressive for years and still not change your operation. Then the price drops, or the setup gets easier, or the ROI finally clicks, and suddenly everybody acts like it appeared overnight.

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That's usually the real tipping point, not invention, distribution.

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So let's make this practical. What changes when AI gets cheaper to run?

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First, software companies can put AI into more parts of their products without charging enterprise pricing for every feature.

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So instead of paying a premium just to test one little assistant, you start getting AI built into the tools you already use.

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Second, businesses can afford more repetition, more automated replies, more internal drafting, more call summaries, more lead qualification, more back office tasks handled continuously instead of occasionally.

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That's huge because most small businesses don't need one magic AI moment. They need a thousand tiny saves every week.

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Third, agents become more realistic. If every action an AI takes is expensive, you limit what it can do. If the cost falls, software can let AI reason longer, check its own work more often, and stay active in more workflows.

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So this is where AI stops being a toy you occasionally prompt and starts acting more like a staff layer.

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Exactly. Not a person, but definitely a working layer.

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And that's where this gets real for the listener. If AI is about to get cheaper behind the scenes, you should expect the tools in front of you to change fast.

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More bundling, more automation, more included with your plan features, and probably a lot of software companies pretending this was their vision all along.

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That's my favorite part of every tech cycle. Everybody becomes a profit after the price drops. Miraculous, really. So what should a business owner do right now?

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Don't wait for the perfect tool. Watch for falling friction. If a product you already use suddenly adds better AI search, smarter drafting, automated follow-up, or agent-style task handling, that may be the moment to test it seriously.

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Because the opportunity may not be in chasing the newest app. It may be in revisiting the software you already pay for and asking, what can this do now that it could not do six months ago?

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That is the right question.

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And I'd add one more. If AI gets cheaper, your competitors get access to.

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Which means the edge does not come from merely having AI. The edge comes from integrating it into your workflows faster than everybody else.

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That's the business version of this whole story. When the cost curve breaks, the early movers don't win because they're smarter. They win because they operationalize sooner.

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It may have announced the next wave of affordable business automation.

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And if that's true, then this isn't chip news.

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It's margin news.

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It's workflow news.

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It's competitive advantage news.

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And it might be the moment where AI stops feeling like a side experiment and starts becoming part of the monthly operating system of a small business.

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Which is when adoption gets very real.

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So the headline is simple the cost of AI may be about to drop.

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And when that happens, the business is ready to move will get more leverage for the same spend. That's the game.

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See you next time.

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See you then.