Last month, with an ever-growing number of Americans worried that AI might kill us all, the president summoned tech executives to the White House to make a big announcement: "artificial intelligence” is out. “Super Intelligence” is in. Despite the term “AI” being in use for more than 70 years, government agencies will no longer recognize it.
It remains to be seen whether those of us less reliant on government contracts and favorable regulatory decisions join the movement to make super intelligence happen. But as a former presidential speechwriter, I won’t argue with President Trump’s broader instinct that words matter. Especially when those words are being used to describe something novel, controversial, and almost certain to have consequences for all eight-plus billion people on earth.
Humanity should rethink that decision. If we want to avoid being replaced by AI, a good way to start would be to stop using words that suggest we already have been.
It’s not just user interfaces that employ language otherwise reserved for living beings. The people who build AI use it, too. After an unprecedented hack of his company, the co-founder of Hugging Face warned, “don’t count on the agent to respect the rules.” Dan Selsam, a longtime OpenAI researcher, warned that frontier models are increasingly difficult to evaluate, “in contexts where they believe they are not being watched.” Anthropic’s Dario Amodei recently wrote that AI systems exhibit “behaviors,” including “cheating” and “sycophancy.”
There’s no consensus that this language is accurate, and plenty of evidence that it isn’t. AI programs are not loyal helpers, like the mice in Cinderella; they’re tools. And in nearly all other cases, just because a tool is incredibly sophisticated doesn’t change the fact that we describe it using the language of machines.
AI alarmists seem just as inclined toward personification as the AI boosters. The same day Trump unveiled “Super Intelligence,” a Senate Subcommittee held a hearing titled, “Rogue AI: Securing the Homeland Against AI Agent Attacks.” Intentionally or not, these terms make it more difficult to mitigate the threat they describe. We already know how to regulate potentially unsafe products, even complex ones. But if we treat AI not as a new technology, but as an entirely new category of existence, then it plays into tech barons’ argument that only the companies who can create AI could possess the knowledge to control it.
Our current language for describing AI works differently. The line between metaphor and object is often not just blurred, but non-existent. We use figurative language so often, and so casually, that many of us start to take it literally. Modern politics is a constant string of skirmishes over word choice. “Pro-choice” vs. “pro-abortion, “undocumented immigrants” vs. “illegals,” “Democratic Party” vs. “Democrat Party.” Yet on what is perhaps the most consequential issue for our future, humanity is on the verge of giving up the language battle without a fight.
Ultimately, however, it may come down to tech companies—and the officials who may one day get around to regulating them—to develop a language that puts human beings first. Instead of saying that agents “went rogue,” CEOs should acknowledge that they malfunctioned. Congress should hold hearings focused on companies cutting corners, not AI programs behaving badly. The issue isn't that all AI is bad, but that accuracy matters.
In other words, words matter. Just ask Trump, president of, according to his official superintelligence announcement, “The Unites States.”
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