AI Is Coming for Your Job, Much Faster Than Anyone Thought

Every week another round of AI-driven fired. In May, Microsoft fired more than 6,000 Softwareing engineers while it leaned to AI for the generation and development of codes. That same month, IBM Cut thousands From HR jobs. In February Meta fired 3,600 Employee-accompanying 5% of his workforce-such as restructured around an AI-first strategy. These dismissals are not isolated incidents; They are signs of a seismic shift in the global economy.

Last week were archiving for unemployment benefits Hit his highest level Since last fall, with companies ranging from Procter & Gamble to Starbucks that they are planning big fired. How much of this is due to Trump’s trade war is uncertain, but the rise of automated, AI-driven systems that make minced meat from Rote work does not help.

Welcome to the immediate disadvantage of the age of AI: economic relocation. And if it looks bad now, remember that we have not achieved the so-called artificial general intelligence, the next major phase in the AI ​​era. At that moment AI can understand, learn and apply knowledge on a wide range of tasks, just like a person. AGI would be able to reason, problem solving and adapting to new situations in each domain without being programmed again.

Although many experts believe that Agi has been removed for decades, a growing number of experts say that it will probably happen within the next five years.

Dario Amodei, CEO of Anthropic, made the headlines last week When he repeated his warnings That AGI-Level systems could arise within two to three years. Daniel Kokotajlo, a former research analyst who left OpenAi on the basis of the fact that the company did not take the security risks seriously enough, said in a report Published in May that Agi could arrive at the end of 2027.

And Ray Kurzweil, Futurist and Director of Engineering at Google, continues to predict Agi will be reached by 2029, a date he re -confirmed last year in “The singularity is closer.”

“In my opinion we are roughly on our way to Agi on Human Agi by 2029,” said Ben Goertzel, CEO of SingularityNet, a decentralized, open-source platform with which AI agents can collaborate, share data and offer services through a blockchain-based network.

And after that? Goertzel and others believe The jump to “Super Intelligence” can only be a matter of a few years: “I think it will only be a few years from an AGI at a human level to a super agi, because that Agi will be able to program and find new chips at a human level and find new forms of networks.”

Many experts are of the opinion that the final evolution to super intelligence could lead to a deep structural collapse of traditional employment, so that everyone is moved from C-suite to doctors, lawyers, PhD students and researchers, and even the entrepreneurs who are currently building their fortunes on AI.

But the shift to Agi will be sufficiently winding.

We are nowhere nearby

Artificial general intelligence will go much further than automating routine tasks, with the possibility of reasoning, adjusting and surpassing people in almost every domain.

“As soon as AI gets a little smarter than people, we see mass unemployment,” Goertzel said Decrypt. “It can start with junior white jobs, but I think it will soon extend to plumbers, electricians, caretakers.”

Goertzel notes that AI has been performing better for years than doctors in diagnostic accuracy, but industries such as health care have resisted change due to institutional power and license requirements.

“Tasks at entry level have no one who defends them,” he said. “Older people in powerful positions can protect their role – and they are those who determine how AI is rolled out. So of course they will not replace themselves with AI.”

According to Goertzel, AI has not disturbed any jobs in the core as aggressive as jobs in white borders because physical hardware still has to catch up. Because AI in software far surpasses the robotics, this inequality helps to explain why White-Collar jobs have worn the majority of AI-driven dismissals, while for the time being the core roles remain relatively untouched.

Half of the entry books could disappear

In a recent interview, Anthropic CEO Amodei warned that the job disruption from AI has not been removed for decades – it is already happening and will accelerate quickly.

He estimates that up to 50% of the entry level White borders could disappear within one to five years. These roles include early career positions in the law, finance, advice, marketing and technology jobs that have once offered stable ramps in professional careers.

Because AI tools are increasingly analysis, writing, planning and decision-making, many of these human positions are made outdated. In a separate interview with CNNAmodei repeated his claim and warned that the shift would take place earlier than humanity could prepare.

“What strikes me about this AI tree is that it is bigger, it is wider and it moves faster than what is before,” Amodei said. “In comparison with previous technological changes, I am a little more worried about the impact of labor, simply because it happens so quickly that, yes, people will adapt, but they cannot adapt quickly enough.”

White jobs have already been threatened

If you work behind a screen, you are already in the AI ​​blast -beam.

“The most exposed jobs are those who require higher education, pay more and concern cognitive tasks,” said Tobias Sytsma, economist at the Rand Corporation, said Decrypt. “Historically, this type of AI exposure has been correlated with employment reductions.”

According to A report from April 2025 The Federal Reserve Bank of New York confronts from computer technology with the double of the unemployment rate of art history Majors with 3% versus 7.5% respectively.

Here are only a few of the jobs that, according to economists, are most directly exposed to AI:

• Software: Use companies AI to generate, assess and optimize code. In May Microsoft upgraded his Github -Copilot to a full AI agent.
• Human Resources: AI is used to screen CVs, evaluate the performance of employees and write termination letters.
• Paralegals and Legal Assistants: AI can summarize case law, assess contracts and design findings.
• Customer service representatives: Chatbots are used to communicate with customers and to handle routine support sticks. Now that voice and video -ai are available on a large scale, call centers are being phased out.
• Financial analysts: AI models can analyze enormous amounts of data and generate reports more efficiently and more accurately than people.
• Content Makers: Writers, editors and graphic designers are already competing with generative AI tools. In 2023 the Writers Guild of America went into a strike, where AI protection was an important problem.

“Our research shows that it mainly requires jobs in white borders, paying more, paying more and cognitive tasks are the most exposed,” Sytsma said.

However, health care professionals are relatively protected due to regulations. “Healthcare seems to be one where those barriers are insulating some employees. Yet the exposure to these tools is increasing. What happens next remains unclear.”

“We could automate most of the jobs without reaching AGI at a fully human level, because most of work is repetitive and based on earlier examples and AI treats that well,” said Goertzel. “Jobs that require large, imaginative jumps are more difficult to replace, but most economic activity does not depend on that.”

Goertzel suggested that super intelligence could even automate and replace political leaders. “Even the presidency can be automated,” he said, “but political standards make that forbidden for now.”

Whether AI leads us to a utopia after work or a deeply unequal dystopia, one thing is clear: if you still think that AI comes first for hand blisters, then you are already behind the curve. It comes in front of the desk next to you. And it’s not waiting.

Published by Andrew Hayward