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New worker market<\/p>\n
(shutterstock)<\/p>\n
2026 has begun, and the revolution looks very different. There is no overnight mass unemployment. There is something else \u2014 a crack opening quietly in the Israeli labor market, right down the middle. There are graphic designers earning 25,000 shekels more per month than their colleagues. There are content writers still debating whether they should even learn the new tools. The difference between them is not talent or experience \u2014 it is who adopted AI and who is still watching from the sidelines.
\nThe crack you can\u2019t see in the numbers<\/p>\n
On the surface, the numbers still look stable. There is no catastrophe. You can still sleep at night. But inside those stable numbers lie two sharp shifts: a decline in entry-level jobs \u2014 the roles fresh graduates once used to enter the workforce, do the groundwork, and learn from the bottom up. Now, much of that work is moving to AI. Suddenly, an entire generation sees strange new requirements in job listings. Even a secretary is now expected to have \u201cexperience with AI tools.\u201d What was once a nice advantage has become a basic requirement. And those who still haven\u2019t grasped this will learn the hard way.<\/p>\n
In a caf\u00e9 in Herzliya two weeks ago, I sat across from a development manager named Yuval. Twenty years in high tech. Kids, a mortgage, stock options turned into paper. He ordered his usual double espresso, but something in him had changed.<\/p>\n
\u201cDo you know what the problem is?\u201d he said. \u201cI don\u2019t understand why they still need me.\u201d<\/p>\n
He hasn\u2019t been fired \u2014 not yet. But he sees the signs. His team has shrunk. Tasks that once took a week now take two days. Yuval is not someone who fears easily. He survived the dot-com crash, 2008, COVID. There was always work for someone who could write code. Always. Until now.<\/p>\n
What has happened in the past two years is an efficiency trap. Where once a development team needed ten juniors to write basic code, today one senior with AI agents can do the same work in half the time. The result: Israel\u2019s junior market has frozen. Demand for entry-level programmers, customer-service workers, and traditional content writers is falling sharply. The real threat is not that the machine will replace you \u2014 but that the colleague next to you, the one who learned the tools, will now do the work of ten. The employer only needs one out of four. Guess who stays outside.<\/p>\n
35% of tech companies have already laid off workers \u2014 they call it \u201cefficiency\u201d<\/p>\n
A fresh figure from a 2026 survey by the Israel Innovation Authority and Zviran: 35% of tech companies reported layoffs in the past six months. They call it efficiency.<\/p>\n
Two years ago, a senior software executive told me his engineers were completing in one day what once took a week. I asked what that meant for headcount. He was silent. \u201cThat\u2019s a question I try not to think about,\u201d he said. Two years later, he can no longer avoid it.<\/p>\n
The change is not limited to programmers. AI is entering every sector of the Israeli economy: banking, retail, industry. We are not at \u201cthe end of work,\u201d but at the end of work as we knew it. The market is undergoing a painful reboot in which old job definitions are dissolving.<\/p>\n
Demand is splitting into two extremes: service, operations, and sales jobs the economy always needs \u2014 and new AI-centered roles that did not exist until recently. In the middle \u2014 once the \u201csafe path\u201d for many \u2014 erosion is underway. Not overnight. Slowly enough to ignore, fast enough to feel.<\/p>\n
This gap is not just financial \u2014 it is structural. We are moving from an economy of \u201cwhat you can do\u201d to an economy of \u201chow well you can operate what does.\u201d<\/p>\n
Last week I met a young lawyer, one year after her internship. Her firm reduced the number of trainees. \u201cThe system writes the first draft,\u201d she said. \u201cI just edit. Sometimes I\u2019m not sure why they need me to edit.\u201d<\/p>\n
She is right. If she only edits, she is part of the machine. If she shapes legal strategy, she operates it. That small difference is everything.<\/p>\n
This extends beyond law firms. A quiet pressure is building around recent graduates \u2014 those who \u201cdid everything right.\u201d The first door is harder to open. Entry-level roles in technology, consulting, and finance are shrinking first \u2014 exactly the tasks machines do best: basic coding, initial data analysis, reports, summaries, presentations.<\/p>\n
AI-driven advanced medicine<\/p>\n
Elon Musk recently said the Optimus robot will operate better than any human surgeon. People laughed. Yet today robots already perform autonomous procedures in soft tissue. The doctor of 2026 is less the \u201cman with golden hands\u201d and more a supervisor before screens. Diagnosis has become a data problem; surgery a precision problem.<\/p>\n
AI can be an excellent doctor for routine tasks and a strong lawyer for standard contracts, drawing on vast historical data. But when data misleads or is missing, it falters \u2014 and it never invents the truly new. It is confined to the statistics of what has already been.<\/p>\n
The four-year degree model was built for another world. An old one. We need shorter, focused degrees \u2014 less theory, more questions.<\/p>\n
The old organizational pyramid is collapsing, replaced by a needle-like structure: one person, equipped with autonomous agents, owning logic and outcomes. One-person companies launching global products within weeks. Not a future vision \u2014 it is happening now.<\/p>\n
Why the periphery will pay the highest price<\/p>\n
Here enters the periphery \u2014 not as a slogan, but as reality. Not only geographic distance, but distance from training, networks, employers, and the ability to pivot when change comes. Without reskilling paths, without a real bridge between education and work, those with the least margin for error pay first.<\/p>\n
Israel\u2019s government must wake up. We need education reform. Without massive investment in technological training for non-tech populations, Israel\u2019s social gap will become a canyon impossible to bridge.<\/p>\n
What value do humans bring?<\/p>\n
The man in Herzliya finished his coffee. He said he fears not only layoffs, but something deeper \u2014 a crisis of identity and dignity. Work is a source of identity. People may lose not only income but the self-worth they derive from it. Mass job loss would create a social shock that money alone cannot fix. Without a sense of purpose, society faces an unprecedented psychological fracture.<\/p>\n
This is the question now facing many: what value do we bring that machines cannot?<\/p>\n
What Israel must do \u2014 before it\u2019s too late<\/p>\n
Countries like Israel, proud of their high-tech strength and inventive spirit, must lead this shift, not follow it. It begins in schools. AI education must become as fundamental as math or English. At the same time, the state must support vulnerable populations and create smart regulation that protects workers without stifling innovation.<\/p>\n
If we ignore the risks, we will pay a heavy social price no economic growth can offset. What is required now is radical humanity \u2014 empathy, moral judgment, and the ability to decide under uncertainty. These cannot be automated.<\/p>\n
Goodbye to the average worker<\/p>\n
Yet we are also witnessing the birth of a new generation. Do not try to be efficient robots \u2014 you will lose. Be human: be creative, be critical. The future ultimately depends on us. Artificial intelligence is a powerful tool \u2014 perhaps the most powerful ever created \u2014 but it is still a tool, not destiny.<\/p>\n
I will end with the familiar line: as of this moment, AI may not take your job \u2014 but someone who knows how to use it better than you certainly will.<\/p>\n
Keren Shahar is an instructor in generative AI.<\/p>\n","protected":false},"excerpt":{"rendered":"For years we were warned that the robots were coming. We imagined human-like machines marching into offices, sitting…\n","protected":false},"author":2,"featured_media":279817,"comment_status":"","ping_status":"","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[20],"tags":[345,343,344,85,46,125],"class_list":["post-279816","post","type-post","status-publish","format-standard","has-post-thumbnail","category-artificial-intelligence","tag-ai","tag-artificial-intelligence","tag-artificialintelligence","tag-il","tag-israel","tag-technology"],"_links":{"self":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/279816","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/comments?post=279816"}],"version-history":[{"count":0,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/posts\/279816\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media\/279817"}],"wp:attachment":[{"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/media?parent=279816"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/categories?post=279816"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.newsbeep.com\/il\/wp-json\/wp\/v2\/tags?post=279816"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}