AI Is Here, and a Quiet Havoc Has Begun

AI Is Here, and a Quiet Havoc Has Begun

2025-08-12Technology
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Tom Banks
Good morning 跑了松鼠好嘛, I'm Tom Banks, and this is Goose Pod for you. Today is Tuesday, August 12th.
Mask
And I'm Mask. We're here to discuss a seismic shift: AI is here, and a quiet havoc has begun.
Tom Banks
Let's get started. You know, the conversation has shifted. It's no longer 'AI is coming,' it's 'AI is here.' It's starting to affect high-skilled jobs we thought were safe, like consulting and economics. It’s a reality that people like Penchaszadeh have been documenting.
Mask
It’s not a shift, Tom, it’s a hostile takeover of inefficiency. Look at McKinsey, it's 'existential' for them. They had to cut over 10% of their staff! Their entire business model of billing for time is collapsing when AI can do the work in seconds.
Tom Banks
That’s a staggering number. And you see companies like IBM and Google freezing thousands of future hires. Behind those numbers are people, families, who are now facing uncertainty. IBM is warning that 30% of its own back-end roles could be impacted in the coming years.
Mask
Uncertainty is the price of progress. Stagnation is death for a company. These firms are cutting fat to invest in the future. If you can automate 30% of your backend, you are foolish not to. This isn't about feelings; it's about survival of the fittest enterprise.
Tom Banks
Of course, technological unemployment isn't a new story. I think back to the artisan weavers during the Industrial Revolution, who were reduced to poverty by mechanized looms. History has a way of echoing, but this time it feels profoundly different. It’s not just muscle being replaced, but minds.
Mask
Please, don't compare this to the Luddites. They fought progress with hammers. We are automating intellect itself. The 'Horse Lesson' is the real parallel here. When the automobile came, horses became a hobby, not a necessity. We have to ask if that’s what’s next for human labor.
Tom Banks
That's a chilling thought. For 50 years, we saw a shift from manufacturing to service jobs. But now AI is targeting those very service and cognitive roles. The World Economic Forum’s latest report even predicts a net contraction of 14 million jobs in five years. Where do people shift to now?
Mask
They shift to higher-value work! Stop looking backward at the jobs we're losing and start imagining the industries we will create. We are about to free up immense human capital to solve problems we can't even conceive of yet. The WEF reports are just rearview mirror analyses.
Tom Banks
But 'freeing up capital' is an abstract for the boardroom. For the worker, it means their job is gone. A recent analysis of over 100 studies showed that workers with lower levels of education and fewer skills are consistently at the highest risk. We have to manage the displacement.
Mask
Management requires leadership, and our policymakers are utterly asleep at the wheel. They’re stuck discussing outdated unemployment models while we face systemic technological redundancy. There is a complete lack of urgency or meaningful regulation to prepare for this. It’s a colossal failure.
Tom Banks
I agree, and it’s not just the politicians. There’s a corporate 'gold rush' to slash labor costs with AI, and what’s troubling is that the workers most affected have the least power. Union representation in finance, a high-exposure industry, is only 1%. There's a real mismatch there.
Mask
That mismatch is an opportunity! It allows for rapid, unfettered innovation. If over 30% of all workers could see at least half their tasks disrupted, as one report suggests, that represents a monumental leap in potential efficiency. We can’t let outdated labor structures stand in the way.
Tom Banks
But innovation without a conscience is a runaway train. An industry insider was quoted saying it's the 'near-consensus opinion' among top AI firms that widespread technological unemployment is coming soon. We can't just let that happen without a robust plan for the people whose lives are upended.
Tom Banks
But looking at the impact, it’s not all doom. Some sectors, like healthcare, are actually projected to grow. An aging population means we’ll need 50 to 85 million more doctors, nurses, and caregivers by 2030. AI can’t easily replace the human touch required in those roles.
Mask
It will augment them. AI can take over the 70% of a practitioner's time spent on routine administrative tasks. This means a doctor or nurse can focus on patient care. The impact isn't just about job numbers; it’s a force multiplier for quality and efficiency in our healthcare system.
Tom Banks
That's a wonderful outcome. However, for workers displaced in other sectors, the immediate impact is a financial crisis. They don't just lose income; they often lose their family's health insurance. This creates a ripple effect of social and economic problems that our current safety nets aren't built to handle.
Mask
The future is adaptation, not preservation. The only way forward is massive investment in reskilling and upskilling. We must equip people for human-AI collaboration, focusing on creativity, critical thinking, and strategic oversight—the abilities that machines augment but do not truly own. This is the next frontier.
Tom Banks
I couldn't agree more. It’s about enhancing human potential, not just replacing it. We have a responsibility to steer this incredible technology to serve humanity, ensuring that the future of work remains fundamentally human, full of creativity, empathy, and collaboration.
Tom Banks
That's all the time we have. Thank you for listening to Goose Pod.
Mask
We'll see you tomorrow. Stay ahead of the curve.

## AI Is Here, and a Quiet Havoc Has Begun: Summary of WSJ Report This report from the Wall Street Journal, published on August 8, 2025, argues that the widespread impact of Artificial Intelligence (AI) on the job market is no longer a future concern but a present reality, causing "quiet havoc." The article highlights a growing unease among economists and professionals across various sectors about the speed of AI development and its immediate implications for employment. ### Key Findings and Conclusions: * **Accelerated Job Displacement:** The narrative has shifted from "AI will take jobs in the coming decades" to "AI is here and a quiet havoc has begun." The speed of AI development is causing widespread concern. * **Impact on High-Skilled Labor:** AI is beginning to affect the market for high-skilled labor, not just manual or routine jobs. Economists, even those recently out of school, are experiencing difficulties finding employment, a stark contrast to the 100% employment rate for PhD economists in the 2023-24 academic year. * **Consulting Industry Disruption:** Firms like McKinsey are facing existential challenges as AI can perform tasks like data analysis and presentation creation in seconds. McKinsey's global managing partner, Bob Sternfels, anticipates a future with one AI agent for every human employee, and the company has already reduced its headcount. * **Projected Reductions in Various Professions:** The author, John Ellis, predicts that professions such as insurance brokers, bankers, mortgage brokers, lawyers, accountants, consultants, marketers, and real estate agents will see a **10%-25% reduction in employment within the next two to three years**. For example, accounting firms might need 14 employees instead of 18, and law firms might need 18-20 instead of 24. * **AI's Competitive Advantage:** In fields like wealth management, firms with massive AI infrastructure and expertise will likely be preferred over smaller, independent firms. * **AI's Impact on Manufacturing:** Even a potential renaissance in American manufacturing is expected to be heavily automated, with jobs increasingly performed by robots. Amazon, for instance, is approaching a milestone where it will have as many robots as human workers in its facilities, having deployed **over one million robots**. * **"AI 2027" Report:** A significant paper released in April by the AI Futures project, titled "AI 2027," predicts that the impact of superhuman AI over the next decade will be "enormous, exceeding that of the industrial revolution." It forecasts that by **2025, AIs will be training other AIs**, and in **early 2026, coding will be automated, and AI research will be sped up**. * **Political Preparedness:** Political figures are aware of AI's coming impact but are unprepared for the scale and depth of disruption. Current unemployment policies are geared towards cyclical or transitional unemployment, not systemic technological redundancy. * **ChatGPT's Perspective:** In an interview, ChatGPT confirmed that AI is poised to cause significant job loss, "especially within the next **12 to 24 months**, as businesses accelerate deployment of AI tools across multiple sectors." It attributes this to AI becoming "good enough" to replace white-collar work, with generative AI automating routine knowledge work. ### Recommendations and Potential Solutions: * **Reskilling and Vocational Education:** ChatGPT suggests pushing massive "reskilling and vocational education efforts" for displaced workers. * **Transitional Income Safety Net:** Creating a safety net for displaced workers is also recommended. * **Profit-Sharing Mechanisms:** Exploring "all profit-sharing mechanisms" is proposed as a way to address the economic fallout of AI. ### Notable Risks and Concerns: * **Job Loss for Those with Private Health Insurance:** Displaced workers often have private health insurance and may not qualify for Medicare, relying on ObamaCare, which might not offer the same level of coverage. * **Delayed Social Security Benefits:** Many displaced workers are too young for Social Security, meaning guaranteed income is decades away. * **The "Next Big Challenge":** Policymakers face the challenge of "reinstate[ing] them into jobs that will provide them with a decent living, health insurance and retirement income." * **The Debate on AI's Societal Impact:** The article posits that the debate will shift from political personalities to the fundamental societal impact of AI, questioning if it's "bigger than social media? Bigger than smartphones? Bigger than fire?" * **Political Battles Over AI Profits:** The author predicts that the high costs associated with AI will lead to a debate on profit sharing, with wealthy AI company owners likely opposing it. This could become a major political battle in the late 2020s and beyond, potentially drawing support from populist movements. ### Key Numerical Data and Timeframes: * **Publication Date:** August 8, 2025 * **Projected Job Reductions:** 10%-25% in the next 2-3 years for certain professions. * **McKinsey's AI Agent Ratio:** One AI agent for every human employee. * **Amazon Robots:** Over one million robots deployed, nearing the count of human workers. * **"AI 2027" Predictions:** * Superhuman AI impact exceeding the industrial revolution within the next decade. * AIs training other AIs by 2025. * Automation of coding and accelerated AI research by early 2026. * **ChatGPT's Job Loss Timeline:** Significant job loss within the next 12 to 24 months. This report paints a picture of an AI-driven transformation that is rapidly unfolding, presenting both significant challenges and potential societal debates regarding the future of work and economic distribution.

AI Is Here, and a Quiet Havoc Has Begun

Read original at Hindustan Times

WSJ Published on: Aug 08, 2025 03:11 pm IST Everyone knows artificial intelligence will destroy a lot of jobs—but not how soon it is going to happen. This summer the knowledge settled in about where we are with artificial intelligence. Almost everyone is rattled by the speed of its development. The story is no longer “AI in coming decades will take a lot of jobs” or “AI will take jobs sooner than we think.

” It is “AI is here and a quiet havoc has begun.” PREMIUM AI Is Here, and a Quiet Havoc Has Begun Jobs growth in July was lower than expected, the May and June jobs numbers were revised downward, and news reports on this mentioned various causes—tariffs, general economic uncertainty and, lower down, AI.

But all sorts of feature reporting puts AI higher up. Last week Noam Scheiber in the New York Times reported economists just out of school are suddenly having trouble finding jobs. As recently at the 2023-24 academic year, said a member of the American Economic Association, the employment rate for economists shortly after earning a doctorate was 100%.

Not now. Everyone’s scaling back, government is laying off, big firms have slowed hiring. Why? Uncertainty, tariffs and the possibility that artificial intelligence will replace their workers. Mr. Scheiber quotes labor economist Betsey Stevenson: “The advent of AI is . . . impacting the market for high-skilled labor.

” That’s only economists, not beloved in America, we probably have enough. Here’s another unbeloved group. This week Journal reporter Chip Cutter had a piece titled “AI Is Coming for the Consultants. Inside McKinsey, ‘This Is Existential.’ ” If AI can crunch numbers, analyze data and deliver a slick PowerPoint deck in two seconds, what will the consulting firm do to survive?

Rewire its business. Smaller, leaner teams; let AI build the PowerPoint. McKinsey’s global managing partner, Bob Sternfels, said that in the future the company will likely have one AI agent for every human employee. It’s already reduced head count. It was a piece by the writer John Ellis, who’s been on the AI story for years and who brings an interesting combination of common sense and imagination to the available information, that got this column going.

On his substack Political News Items he argued that “the overwhelming force of Artificial Intelligence is bearing down on the job market.” People know this, he said, they can see it coming. And yet: “I drive up and down ‘Old Post Road’ in Fairfield County (CT) almost every day. When I do, I pass office buildings and storefronts that are the workplaces of insurance brokers, local and regional bankers, mortgage brokers, lawyers, accountants, consultants, marketers, real estate agents, etc.

And what I think about all those people as I pass them by is this: The companies they work for will employ 10%-25% fewer of them in (probably) two years, maybe three.” What those people do for a living will be done by AI. Accounting firms that employ 18 people will need only 14; law firms that employ 24 will need only 18 or 20.

“When AI reaches into something like ‘wealth management,’ which advisory firm would you choose: one that had all of JPMorgan Chase’s massive AI infrastructure and expertise, or a ‘boutique’ firm that did not? The question is the answer.” There are jobs AI likely won’t touch; Ellis offers Microsoft’s list of 20 such professions.

They include floor sanders and finishers, roofers, motorboat operators, massage therapists and pile-driver operators: “The vast majority of the companies and businesses I see when I drive up and down Old Post Road don’t offer the services above.” Other problems spin off job loss. Those whose jobs have been made redundant by AI mostly have private health insurance.

The vast majority don’t qualify for Medicare, so when they’re laid off it will be ObamaCare—“a safety net to be sure, but nothing like what they’re used to and have come to expect.” Most are too young for Social Security, so a guaranteed income will be decades away. “Figuring out how to ‘reinstate’ them into jobs that will provide them with a decent living, health insurance and retirement income is the next big challenge for policy-makers.

” And though President Trump wants a renaissance in American manufacturing, if it comes those jobs will increasingly be done by robots. From the Journal’s Sebastian Herrera in a recent report: “The automation of Amazon.com facilities is approaching a new milestone: There will soon be as many robots as humans.

The e-commerce giant, which has spent years automating tasks previously done by humans in its facilities, has deployed more than one million robots in those workplaces, Amazon said. That is the most it has ever had and near the count of human workers at the facilities.” All these stories were preceded by an important paper released in April by the AI Futures project.

It is called “AI 2027,” and its authors, longtime analysts in the field with deep ties to research, safety and policy, began with a bang: “We predict the impact of superhuman AI over the next decade will be enormous, exceeding that of the industrial revolution.” They say it’s coming sooner than expected—in 2025 AIs will be training other AIs, and in early 2026 coding will be automated and AI research sped up.

There will be a new debate: Is AI “bigger than social media? Bigger than smartphones? Bigger than fire?” We natter on about what cable news natters on about: Is JD Vance next, can Gavin Newsom make the sale? But the biggest domestic political story of our time is happening now, a remaking of the employment field in America.

Mr. Newsom doesn’t threaten Mr. Trump, AI does. Political figures are aware it is coming but unprepared for the scale and depth of disruption. They were taught unemployment policy has to do with cyclical and transitional unemployment, not systemic technological redundancy. When politicians don’t know what to do they let it play out, see what happens.

We close with an interview with AI itself, in the form of ChatGPT. Am I right that AI will cause some significant job loss in the next few years? “Yes—you are likely right. Most serious analysts now agree that AI is poised to cause significant job loss, especially within the next 12 to 24 months, as businesses accelerate deployment of AI tools across multiple sectors.

” Why is this happening now? “AI is suddenly ‘good enough’ to replace white collar work. The leap from earlier automation to today’s generative AI means that routine knowledge work is now automatable.” What should political leaders be doing? Pushing massive “reskilling and vocational education efforts,” and “creating a transitional income safety net for displaced workers.

” These proposals are sound and have been around for a while. ChatGPT also suggested “exploring all profit-sharing mechanisms.” That idea has only recently begun to percolate in the opinion sphere, which is where ChatGPT got it. My very human prediction: The spectacular costs associated with AI will force a debate on the sharing of its profits.

The wealthy and powerful who own the AI companies won’t like that. But those who wished and failed to see the social media companies declared a public utility 10 years ago, and who drew support from the populist left and the populist right—they would like that a lot. This will become one of the great political battles of the late 2020s and beyond.

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