Calling AI “super intelligence” isn’t bold. It’s a sales move dressed up as a national mission, and it should make you a little nervous that major tech CEOs are playing along.
Marc Benioff joining President Trump’s push to rebrand artificial intelligence as “super intelligence” is being framed like a simple naming update. Just a new label, nothing to see here. But names don’t just describe things. Names steer how people feel, what they fear, what they fund, and what they forgive.
From what’s been shared publicly, this shift is tied to an executive order signed on September 29, 2026, directing a change in terminology from AI to SI. Benioff is now part of that effort. Other tech leaders, including Elon Musk, are reportedly adopting the term too, with some planning to rename products or business units. Salesforce’s change is said to hit only its “agent” offering, not the whole company.
That last detail is the part that reveals the game. If this was really a serious belief that we’ve entered some new era, why only rename one slice of the platform? Why not put the whole brand behind it? Because this isn’t a scientific update. It’s positioning. It’s a way to ride a political wave and a hype wave at the same time, without taking on the risk of going all-in.
“Super intelligence” is an emotionally loaded phrase. It doesn’t sound like software. It sounds like a creature. It suggests something above humans, maybe beyond control. And that’s exactly why it works: fear and awe are great for attention, and attention turns into budget.
Imagine you’re a CIO at a big company. You’ve got teams asking for tools, your board asking about risk, and your CEO asking why you’re not “doing AI.” Now the same pressure comes labeled “super intelligence.” That changes the meeting. People get less precise. They reach for bigger language. They approve bigger spend. They ask fewer boring questions like “What data will it use?” and “What happens when it’s wrong?” The label pushes you toward drama instead of discipline.
And if you’re a politician, “super intelligence” is even more useful. “AI” already has baggage. It’s tied to job loss, deepfakes, surveillance, and a lot of public frustration. “Super intelligence” gives you a fresh word that sounds like national strength, like winning, like the future you’re owed. It lets you act like you’re taking control of something huge, even if the underlying technology hasn’t changed at all.
Here’s the thing: rebranding doesn’t make systems smarter, safer, or more reliable. It changes the story we tell about them. And stories decide what people accept.
If Salesforce only applies the term to its agents, that’s not random. “Agent” products are where a lot of trust gets spent fast. Agents are not just chat windows. They do things. They click buttons, move data, send emails, trigger actions. They’re close to the messy parts of real work. Calling that “super intelligence” is a way to raise perceived value. It implies autonomy, competence, maybe even judgment. But what happens when the “super” system sends the wrong invoice, deletes the wrong record, or tells a customer something that isn’t true?
In a normal world, we’d treat that like what it is: software doing probabilistic guessing based on patterns. Useful, yes. Also error-prone. But “super intelligence” quietly pushes people to treat mistakes as surprising glitches instead of expected failures. That’s a dangerous mindset in any tool that touches money, health, or legal decisions.
There’s also a subtler consequence: accountability gets blurry. When companies market “AI,” you still hear a little voice saying, “This is a tool someone built.” When you market “super intelligence,” it’s easier to shrug when it goes wrong. People start talking like the system has a mind of its own. That’s convenient for vendors and leaders. “The SI made the call” is the kind of sentence that can wash responsibility right off someone’s hands.
To be fair, there’s an argument on the other side. Maybe leaders want a new term because “AI” has become meaningless. Everything is “AI” now, from basic automation to serious models. A new label could force people to be clearer. And maybe “super intelligence” is meant to signal a higher bar for safety and governance, not just hype.
But that’s not how this is landing. It’s landing as branding, and branding has consequences. If the public starts hearing “super intelligence” from government and big tech at the same time, you’ll see two reactions. Some people will panic and demand heavy-handed bans that don’t fit the reality. Other people will surrender and assume resistance is pointless. Both reactions help the people selling the tools, because chaos and resignation both reduce thoughtful oversight.
I also don’t love the precedent: a government executive order trying to rename a broad technology category. That’s not how language usually works, and it’s definitely not how science works. When power tries to force a new word, it’s usually because the old word started to cause political problems.
What I’m not sure about is how far this goes. Does “SI” become a hard requirement in procurement language and policy? Do companies feel pressured to adopt it to look aligned, even if their product is just basic automation with a new coat of paint? Or does the term burn out fast because it’s too obviously inflated?
If you’re a buyer, a worker, or just someone who has to live in the world shaped by these tools, the real question is simple: when leaders rename AI to “super intelligence,” are they trying to make the technology clearer, or are they trying to make you easier to sell to?