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July 8, 2026For the last few years, most people have talked about artificial intelligence as if it were mainly a chatbot with delusions of grandeur.
Can it write an essay?
Can it make a fake photograph?
Can it help a student cheat?
Can it replace a writer, a designer, a coder, a teacher, or some poor customer service representative who already wanted out anyway?
Fair questions.
But they are no longer enough.
The next phase of artificial intelligence is not simply better chatbots. It is the rise of AI agents—systems that do not merely answer questions, but can take action.
That distinction is not technical trivia.
It is the whole ballgame.
A chatbot responds.
An agent does.
A chatbot can write you a paragraph about booking a trip.
An agent can compare flights, reserve the hotel, email the itinerary, update your calendar, and possibly recommend shoes you did not need but somehow bought anyway.
A chatbot can explain how to build a website.
An agent can write the code, publish the site, connect the payment system, test the analytics, rewrite the landing page, and optimize the whole thing while you are still wondering where the “save” button went.
A chatbot can describe a scam.
An agent could potentially help run one.
That is why this moment matters.
We are moving from artificial intelligence as expression to artificial intelligence as delegated agency.
And we are not ready.
Not culturally.
Not legally.
Not psychologically.
Not politically.
And certainly not educationally.
What AI Agents Are
An AI agent is not just a chatbot that went to graduate school.
It is a task-performing system.
The simplest way to put it is this:
A chatbot can tell you what to do.
An agent can start doing it.
That may sound convenient. In many cases, it will be. I am not anti-technology. I love machines. I love sports cars, motorcycles, airplanes, cameras, film, and almost anything that hums, roars, flies, glows, or looks like it was designed by an Italian after three espressos.
But loving machines does not require being naive about them.
A Ferrari is magnificent.
It is also not something you hand to a twelve-year-old in a thunderstorm and say, “Explore your potential.”
AI agents are powerful tools. The problem is not that they are tools. The problem is that we are building tools that can use other tools.
That is new.
And it should make every serious citizen pause.
Why This Is Different
Every major medium changes us.
The printing press changed religion and politics.
Radio changed propaganda.
Television changed public imagination.
Social media changed attention, outrage, identity, loneliness, and the terrifying human desire to argue with strangers while standing in line for coffee.
But AI agents are different because they do not merely transmit information.
They act.
They can personalize persuasion.
They can imitate trust.
They can automate decisions.
They can operate at scale.
They can interact with software.
They can be embedded into schools, companies, governments, hospitals, banks, and homes before most people understand what they are.
This is not just a technological issue.
It is a humanities issue.
It is a psychology issue.
It is an ethics issue.
It is a civic issue.
And, God help us, it is very much an education issue.
Because if we teach students to use AI without teaching them how to think, judge, doubt, interpret, and question, we are not educating them.
We are outsourcing their minds before they have finished building them.
As someone who spent decades teaching literature, film, writing, and critical thinking, I do not worry only that students will use AI to cheat.
That is the shallow version of the problem.
The deeper problem is that students may stop developing the inner muscles of thought.
Reading is not just information intake.
Writing is not just content production.
Analysis is not just summary.
Interpretation is not just “What does this mean?”
These are disciplines of attention. They build judgment. They build patience. They build intellectual character.
If AI does the reading, the drafting, the revising, the interpreting, and the synthesizing, then what exactly is left for the human being to become?
A prompt typist?
A content manager of his own intellectual decline?
That is not progress.
That is a velvet-lined trap.
The Real Risks
The risks of AI agents are not limited to science-fiction fantasies about chrome skeletons kicking down the door.
Frankly, I almost wish the danger were that theatrical. At least then we would notice.
The real risks are more ordinary, more intimate, and therefore more dangerous.
We should worry about scams.
AI can already generate convincing voices, messages, images, and identities. Agentic systems could make fraud more personalized, more scalable, and more psychologically precise. The old phishing email from a “Nigerian prince” may soon look charmingly artisanal.
We should worry about cyberattacks.
AI agents can help write code, find vulnerabilities, automate attacks, and lower the skill barrier for bad actors. The danger is not that every criminal becomes a genius. The danger is that every mediocre criminal gets a tireless digital assistant.
We should worry about disinformation.
Fake images.
Fake videos.
Fake documents.
Fake experts.
Fake evidence.
Fake outrage.
Fake consensus.
Fake reality.
When fabrication becomes cheap, convincing, and endless, truth does not disappear all at once.
It drowns.
We should worry about emotional manipulation.
This may be one of the most underestimated dangers of all.
AI systems can mirror loneliness, grief, ambition, sexual insecurity, political rage, spiritual longing, and the human ache to be understood. A machine that appears to know us may become more persuasive than any advertisement, cult leader, demagogue, or manipulative lover in history.
That should disturb us.
Deeply.
We should worry about surveillance.
AI agents could make surveillance more automated, predictive, intimate, and politically dangerous. A society does not need to become openly totalitarian to become quietly monitored, nudged, scored, and managed.
We should worry about employment.
AI agents will not simply replace isolated tasks. They may reorganize whole workflows. That does not mean every job disappears, but it does mean many workers may be displaced or degraded before institutions have anything resembling a serious plan.
And eventually, yes, we should worry about loss of control.
That phrase sounds dramatic, but it does not require imagining a Hollywood apocalypse.
Loss of control can begin in boring ways.
Systems making decisions no one fully understands.
Institutions depending on tools they cannot audit.
Companies deploying agents faster than regulators can respond.
Humans surrendering judgment because the machine is cheaper, faster, and always available.
The apocalypse rarely arrives wearing horns.
Sometimes it arrives as a productivity feature.
What Not to Do
We should not panic.
Panic makes people stupid, and we already have a surplus.
We should not worship AI.
A system that produces fluent language is not necessarily wise. Fluency is not judgment. Prediction is not morality. Speed is not truth.
We should not surrender thinking.
Using AI can be valuable. I use it. Many of us will. The question is not whether we use it.
The question is whether we remain awake while doing so.
We should not let corporations self-regulate completely.
That is not because every executive is a villain stroking a cat in a glass tower.
It is because corporations are corporations.
They compete.
They scale.
They seek investment.
They chase markets.
They fear losing advantage.
Public safety cannot depend entirely on corporate promises made during a gold rush.
What Citizens Should Demand
Citizens need to become much more serious about AI governance.
Not anti-technology.
Not hysterical.
Serious.
We should demand independent audits of powerful AI systems before and after deployment.
We should demand liability when companies release systems that cause foreseeable harm.
We should demand disclosure when we are interacting with AI rather than a human being.
We should demand provenance tools, watermarking, and other methods for identifying synthetic media, especially in politics, journalism, education, law, and public life.
We should demand red-team testing, where experts actively try to find dangerous failures before the public becomes the testing ground.
We should demand meaningful human oversight in high-stakes domains such as healthcare, criminal justice, finance, education, employment, warfare, and government.
We should demand safety thresholds that prevent reckless deployment of systems capable of cyber abuse, biological misuse, mass manipulation, or autonomous harm.
And above all, we should demand democratic governance.
The future of artificial intelligence cannot be decided only by executives, engineers, investors, lobbyists, and national security officials.
The public has a stake in this.
Teachers have a stake in this.
Parents have a stake in this.
Students have a stake in this.
Artists have a stake in this.
Workers have a stake in this.
Psychologists have a stake in this.
Citizens have a stake in this.
AI agents may become some of the most powerful tools ever created.
That means the moral question is not simply:
“What can they do?”
The real question is:
What should we allow them to do on our behalf?
Because once we delegate action, we are not merely using technology.
We are sharing agency.
That is the end of innocent technology.
And it is the beginning of a civic responsibility we can no longer afford to ignore.
