Think back to how the present moment has been described: not as a distant futurist’s speculation, but as a lived acceleration that arrives first in the places where software is built, and then spreads outward until it becomes ordinary. That framing matters, because it is precisely how profound shifts actually move. They do not announce themselves as revolutions. They begin as “overblown”, then become administrative, then become structural, then become irreversible.

If we accept that the ground is moving, then the ethical question is not whether the acceleration is real. It is what kind of civilisation meets it. Long before today’s models began to astonish the public, there were rooms where people argued about this future with a seriousness that now feels almost quaint. Engineers and mathematicians spoke about capability. Systems people spoke about deployment. And a smaller set of voices tried to hold open a different inquiry, one that tends to be treated as optional until it is too late: what happens when power scales faster than maturity, and when instruments of optimisation are placed into societies that have not resolved what they owe one another.

That is why the “jobs” conversation, important as it is, is still only the surface. The deeper issue is that we are entering a period in which cognitive capacity becomes cheap, ubiquitous, and increasingly autonomous, while our institutions remain slow, politically captured, and emotionally adolescent. We are attempting to graft a century-level tool onto a social order that still behaves, far too often, like a collection of competing tribes. In such conditions, AI does not merely disrupt labour markets. It amplifies human character, institutional incentives, and collective pathologies. It will make the generous more effective, and it will make the predatory more efficient. It will reward those who can coordinate, and punish those who cannot. It will intensify the consequences of whatever we have been willing to tolerate.

The frightening part is not that some people will use these systems badly. That has always been true of powerful tools. The frightening part is that we already live amid ethical erosion that has little to do with AI, and everything to do with what we have normalised. There is a kind of casual cruelty that has become entertainment. There is a linguistic violence that travels faster than reflection. There is a willingness to treat other bodies, other minds, other futures, as disposable. When a society becomes comfortable with humiliation as sport, or with indignation as identity, it is quietly training itself for the worst possible relationship with a technology that scales persuasion, imitation, surveillance, and narrative control.

This is where the ethical frame must be tightened. The acceleration argument says that one must become familiar with the tools because the tools are coming for one’s work. The ethical frame adds that one must become worthy of the tools because the tools are coming for one’s society. Familiarity alone is not preparation. If a person learns to drive faster without learning restraint, the result is not progress. It is simply a higher-speed crash.

Education sits at the centre of this, and not as a sentimental theme, but as a practical bottleneck. We have an educational pipeline designed for a world in which knowledge was scarce, slow, and institutionally guarded. That world is gone. Yet we continue to march children through a standardised choreography as though the calendar itself could produce competence. They are moved from secondary school to high school, from high school to university, and then into a credentialed role that may not exist by the time they graduate. This is not a hypothetical problem on the horizon. Variations of it have been happening for over a decade, and we have mostly responded with denial, nostalgia, or minor curriculum updates that treat a structural shift as a branding exercise.

The deeper failure is that schooling has been treated less as cultivation of mind, and more as social operating system. It sorts, schedules, supervises, and reproduces a certain kind of predictable citizen. It standardises learning as if all minds learn the same way, at the same pace, in the same sequence, regardless of culture, place, temperament, or circumstance. It trains compliance through grading and calls it achievement. It mistakes information delivery for education, and then wonders why curiosity decays.

Meanwhile, the economic logic of the modern household was rebuilt around this arrangement. Children are placed under institutional supervision while adults become continuously available to labour markets. The result is a society that often asks schools to do what families, communities, and civic life once did, while simultaneously starving those schools of the moral mandate to form character in any serious way. We have outsourced the formation of persons and then argued about test scores.

The same misalignment visible in employment is present in regulation, governance, and institutional response. Our frameworks were built for a tempo that no longer holds. Laws and policies move at the speed of committees, elections, and court challenges. Technological capability moves at the speed of iteration. Operational systems in government and large organisations move at the speed of procurement and risk committees. The public sphere moves at the speed of outrage. None of these speeds match the new reality. The result is a widening gap between what the machines can do and what society can responsibly absorb.

It is tempting to interpret this as mere bureaucratic incompetence, but it is more than that. Many systems were designed, explicitly or implicitly, to maintain social predictability. They reward certain forms of behaviour, punish others, and reproduce an order that is legible to those who benefit from it. Disruption threatens those arrangements. So adaptation is delayed not only by slowness, but by interest.

That is why the educational break matters so much. If we do not disrupt education from the root, we will keep producing graduates trained for a world that is disappearing, and then we will blame them for being unprepared. We will keep selling the prestige of credentials as a substitute for capability, even as capability becomes increasingly decoupled from credentials. We will keep asking young people to invest their most irreplaceable asset, their time, into pathways whose economic promise is decaying faster than the brochures can be updated.

If the acceleration thesis is correct, then the ethical mandate is not simply to learn AI. It is to build a culture that can live with accelerated power without collapsing into cynicism, exploitation, and nihilism. That means teaching people, early and relentlessly, how to think rather than what to repeat. It means building technological fluency not as a luxury, but as a civic necessity. It means treating access, infrastructure, and training as matters of justice, because a world where only a minority can wield these tools is not merely unequal. It is unstable.

The question concerning technology is the question concerning the constellation in which revealing and concealing, in which the coming to presence of truth, comes to pass.
Martin Heidegger

We are moving into the time of machines, yes, but also into the time of accountability. Superior intelligence, automation, new economic forms, and the rhetoric of humanisation will all arrive. The question is whether we will meet them with deeper responsibility or with refined selfishness. AI will not save us from ourselves. It will simply make us more so. The only honest preparation is to accelerate our ethics to match our tools, and to rebuild education not as a conveyor belt into old careers, but as the training ground for judgment in a world where the consequences of thoughtless action scale faster than ever before.

Rox.

Further Context

Hans Jonas, The Imperative of Responsibility: In Search of an Ethics for the Technological Age, University of Chicago Press, 1984.
Jacques Ellul, The Technological Society, Vintage Books, 1964.
Martin Heidegger, The Question Concerning Technology and Other Essays, Harper & Row, 1977.
Hannah Arendt, The Human Condition, University of Chicago Press, 1958.
Ivan Illich, Deschooling Society, Harper & Row, 1971.
Neil Postman, Technopoly: The Surrender of Culture to Technology, Vintage Books, 1993.
Shoshana Zuboff, The Age of Surveillance Capitalism, PublicAffairs, 2019.