The AI Revolution Needs Lifelong Learners

“Today I taught my final class in the Department of Translation Studies,” wrote a veteran translator and translation instructor in a Facebook group for translators that I belong to.

No, she isn't retiring. So why was it her last class? Because her university's translation department is shutting down. The semester ended with a beautiful bouquet for the instructor, engaging translation exercises from Alice's Adventures in Wonderland, and a bittersweet farewell. It's a shame it ended—but it was wonderful while it lasted.

Why did it have to end? Above all, because of artificial intelligence.

The technology that is reshaping the world of work has brought about a genuine revolution in the translation industry. Today, when publishing houses and companies hire translators, what they increasingly want is not translation itself but translation editing—reviewing and refining text that has already been generated by an AI model. The pay, unsurprisingly, is often lower. The initial draft is produced by a large language model; the human translator's role is to edit, correct inaccuracies, smooth the language, and provide the final polish. Productivity rises dramatically, but the profession itself is changing—and leaving far less room for a sustainable livelihood.

That is why this department is closing. It is unlikely to be the last.

What is happening in translation is unfolding across many other professions as well. Universities are reporting declining enrollment in computer science and software engineering, alongside growing interest in electrical and mechanical engineering—fields widely seen as less susceptible, at least for now, to full automation by AI. Content writing, much like translation, has increasingly become a process of collaborating with language models and editing their output. Customer service, meanwhile, is now handled in large part by AI-powered chatbots.

And this is only the beginning.

We are still in the early stages of this transformation. One need not subscribe to the most dystopian predictions—that AI will eliminate all jobs and condemn humanity to lives of idleness, despair, and poverty—to recognize that it will fundamentally reshape the labor market. Physicians, for example, will almost certainly still be practicing decades from now, but their work will look markedly different, relying extensively on AI-powered tools. To one degree or another, the same is true of nearly every profession.

The greatest challenge posed by AI, then, is not the jobs it will eliminate. History shows that every major technological breakthrough destroys some occupations while creating entirely new ones that previous generations could scarcely have imagined. The deeper challenge is that the labor market itself is becoming a state of permanent transition.

Even before the rise of AI, it was clear that today's workforce no longer follows the career patterns of earlier generations. Our parents could train for a profession and expect only occasional updates to their skills before retirement. Our generation has already had to adapt continuously, driven by the information revolution and relentless technological change.

Artificial intelligence is taking those trends to an entirely new level. In the AI era, every professional is, in effect, required to become a lifelong student—or risk becoming irrelevant.

Judaism and Lifelong Learning

Last week, I came across an intriguing post on X:

"We're hiring AI engineers with a strong background in studying Jewish texts to work on AI Alignment… The thesis here is that Judaism, having survived adverse selection pressure over millennia, may contain something useful for surviving RSI AI."

In other words, the company believes that Judaism's remarkable ability to survive centuries of persecution, upheaval, and adaptation may hold valuable lessons for a future in which artificial intelligence reaches recursive self-improvement (RSI)—the point at which AI systems can continuously improve themselves with little or no human intervention.

That hypothesis is certainly worth considering. But I believe Judaism has something even more fundamental to offer as we enter the age of AI: Judaism is, at its core, a civilization of lifelong learning.

In Jewish tradition, learning is not merely encouraged—it is a religious obligation that never ends. As Maimonides writes:

"Every man among Israel is obligated to study Torah, whether he be poor or rich, whether healthy or afflicted, whether young or very old and feeble... Until what period in life is a person obligated to study Torah? Until the day of his death... For as long as one is not actively engaging in study, one forgets."

— Mishneh Torah, Hilchot Talmud Torah (Laws of Torah Study) 1:8–10

The centrality of lifelong Torah study has shaped Jewish culture in profound ways. Once learning is understood not as a phase of life but as a permanent responsibility, that mindset naturally extends beyond the beit midrash. It becomes a way of approaching the world itself.

The Mishnah expresses this ideal succinctly:

"Who is wise? One who learns from every person, as it is said: 'From all my teachers I have gained understanding.'"

— Pirkei Avot (Ethics of the Fathers) 4:1

Wisdom, in this view, is less about possessing knowledge than about remaining open to acquiring it. Every encounter is an opportunity to learn. Every person is a potential teacher.

That habit of mind has served the Jewish people remarkably well throughout history, and it may prove more valuable than ever in the years ahead. The AI revolution will demand continual adaptation from all of us. The professionals who thrive will not necessarily be those with the most impressive credentials today, but those who remain willing to learn tomorrow.

Jewish texts may or may not hold the key to aligning future AI systems. But the Jewish culture of lifelong learning may well be one of the best preparations we have for living alongside them.