The Last Interface Is Language

AI is weakening our ability to read, write and think at length, just as those skills become the key to using it.

Robert J. van Raamsdonk 1 October 2026 6 min read

We are outsourcing reading and writing to machines at the exact moment reading and writing became the way we operate machines.

Picture a student with a chapter to read by tomorrow. She pastes it into a chatbot and asks for five bullet points. Down the hall, a junior engineer watches four AI programs write code he can’t quite follow, and approves it anyway. Both are skipping the part that used to make them better at what they do, and neither would call it cheating.

For seventy years, using a computer meant learning its language: menus, syntax, formulas. That era is over. We now build software by describing what we want, research by asking questions and brainstorm by talking. The skills that matter most are understanding what we read and hear, and saying precisely what we mean. Reading and writing are where those skills are built, and they are exactly what AI now does for us.

We stopped doing the work

AI didn’t start this decline, but it is removing the last places young people still had to do the work. Smartphones had already shortened attention, and American high-school seniors posted the lowest reading scores since testing began in 1992. What remained was the essay you had to write and the report you had to read. By late 2025, more than half of US teens had used chatbots for schoolwork. And the first international reading test taken after ChatGPT arrived, PISA 2025, showed scores falling sharply across the developed world.

The early research suggests the cost is real. In a 2026 trial run by Anthropic, one of the AI companies, junior developers who learned a new coding tool with an AI assistant scored 17% lower on a test of what they had learned than those who worked it out by hand, and they weren’t significantly faster. At MIT, most people who wrote an essay with ChatGPT couldn’t correctly quote a line of it minutes later. Reading and writing are how understanding gets built. Skip the process and you skip the understanding. Attention works the same way: holding a long document in your head is trained like endurance, and a generation that receives every text as five bullets never trains it.

Beyond the United States

Europe’s literacy advantage lives in its older generations, and it is not being passed on. Northern European adults still read far better than Americans. But among 15-year-olds, only Ireland and the UK now match the US, and the Netherlands has fallen far behind. Meanwhile, 94% of British university students already use AI for their graded coursework. In India, where much of the world’s software is now built, the problem is foundations never laid: only 27% of rural eight-year-olds can read a simple text, while at the elite Indian Institute of Technology in Delhi, four in five students use AI, all of them for writing.

The keyboard is now a sentence

In 2023 the AI researcher Andrej Karpathy joked that “the hottest new programming language is English.” Today it’s simply how work gets done. Developers describe what software should do instead of writing it line by line. Research is a conversation whose answers are only as good as its questions. Strategy starts as a dialogue with a model.

All of this runs on two skills. The first is saying exactly what you mean, typed or spoken. A good prompt is a good brief, and the machine can only mirror the clarity you bring. The second is understanding what comes back. AI sounds equally confident whether it is right or wrong, usually answers in code and documents far too long to listen to, and catching its mistakes takes slow, sceptical reading. People who think clearly in language get enormous leverage from AI. Everyone else becomes a passenger: able to produce text, unable to judge it.

Managing the machines is hard work

The industry’s answer is that humans will move up a level and “manage the agents”: the AI programs that now carry out whole tasks on their own. But supervising is harder than doing. It means reading at a higher intensity: switching between parallel threads, absorbing piles of output, rebuilding each context and passing judgement every few minutes.

I know this firsthand. After a day of intensive AI-assisted development, I am wrung out; it takes a real toll on mental endurance. I’m not alone. A 2026 Boston Consulting Group study of nearly 1,500 workers found that closely overseeing AI was the most mentally draining way of using it, and those who hit what the researchers call “AI brain fry” made major errors 39% more often. The psychologist Lisanne Bainbridge predicted this in 1983: the more a system is automated, the harder the human’s remaining job becomes. Tired supervisors skim, then rubber-stamp, then burn out. Managing AI raises the demand for deep reading and attention, just as those skills are fading.

But what about…

“We said the same about calculators.” Calculators took over a procedure and left the thinking to us. Reading and writing are the thinking.

“We’ll just talk to it.” Voice changes the channel. A spoken request still has to be as clear as a written one. And when a model turns your rambling into a tidy plan, it has done the thinking for you. Writing is still where clear expression is learned.

“The evidence is mixed.” It is, and the newest studies show why. In a 2026 experiment, students who used AI to explain ideas learned more than students without it, while those who let it write for them lost their gains as soon as it was gone. Anthropic’s coding trial found the same split. AI is an aid when it explains and a substitute when it answers, and answers are mostly what it is asked for.

“AI will soon do all of this for us.” Perhaps. For now, every task handed to AI is one more thing someone has to direct and check. And even a system that needs no supervision has to be told what we want; the more capable it is, the more faithfully it carries out a careless wish. The bet is also lopsided. If AI never needs us, a literate generation has lost little. If it does, and for years to come it clearly will, a generation that can’t read deeply has lost everything.

Protect the struggle

Banning AI would not help. Reading and writing need a change of status: from old-fashioned basics to the core curriculum of the AI age. The principle is the same everywhere: protect the struggle first, then add the tool. Schools should guard unassisted reading and writing the way they guard exercise, with whole books read, essays written in class and work defended out loud, and only then teach AI as an extension of those skills. Employers should assess young staff on the quality of their judgement, because a company that automates all the hard work will have no senior people in ten years. And each of us can keep a simple rule: read the source before the summary, and write the first draft before asking for help.