Anthropic CEO Dario Amodei says AI could wipe out half of all entry-level white-collar jobs within five years. (Photo by Ludovic MARIN / AFP via Getty Images)
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I don’t want to sound like an alarmist, but if your work involves sitting at a computer, your job could be in jeopardy. The pace of progress in AI has become exponential rather than linear, as AI models are becoming capable of building AI models. As the implications of recent advances cascade throughout the economy, stock markets gyrate, and career anxiety pervades the white-collar sector.
As a futurist and innovation expert advising organizations for over three decades, I have had a front-row seat to many varieties of disruptions. This experience has led me to conclude that technological innovations rarely eliminate those who are willing to experiment and adapt. Most at risk are those who are complacent: those who assume they can get by without fundamentally changing how they operate.
“Something big is happening,” noted AI investor and CEO Matt Shumer, in an influential post read by 80 million people. “I am no longer needed for the actual technical work of my job. I describe what I want to be built, in plain English, and it just appears. Not a rough draft I need to fix. The finished thing. I tell the AI what I want, walk away from my computer for four hours, and come back to find the work done better than I would have done it myself.”
The first big warning of mass job displacement came in 2025, when Anthropic CEO Dario Amodei warned in an Axios interview that AI could eliminate “roughly 50% of entry-level white-collar jobs within 1–5 years, and that unemployment could spike to 10–20% within one to five years. “
Following Matt Shumer’s post last week, Citrini Research earlier this week tapped into a new strain of fears about AI, painting what the Wall Street Journal called a “dark portrait of a future in which technological change inspires a race to the bottom in white-collar knowledge work. “For the entirety of modern economic history, human intelligence has been the scarce input,” Citrini noted. “We are now experiencing the unwind of that premium.” The Dow dropped 820 points on the post.
The question on everyone’s mind right now seems to be: What happens when artificial intelligence can do my job faster, cheaper, and perhaps better than I can? But as a futurist and innovation consultant, I believe there’s a better question that one can ask: In what ways do I protect my career when the pace of AI progress is exponential, rather than linear?
My suggestions are below:
1. Stop Trying to Compete with AI on Efficiency. Compete on value
If your primary value add comes from sitting at a computer processing information, summarizing documents, generating reports, or performing predictable analysis, AI systems are intent on making you redundant. My suggestion here is to alter your value proposition.
In the legal arena, AI can conduct research, analyze and draft contracts, and otherwise do the job of entry-level workers. In healthcare, AI can read scans, analyze lab results, review medical journals, and suggest diagnoses. In customer service, genuinely capable AI agents are often more competent than call center workers. In 2023, AI struggled to write code. Today, at a growing number of companies, AI is writing much of the code.
Three years ago, AI could generate text but struggled to reason. In 2026, it solves complex problems step-by-step. In 2022, AI needed constant prompting. Today, agentic systems are planning and executing multi-stage projects on their own. And where AI once missed human nuance entirely, it is beginning to recognize emotion and adapt responses accordingly. You get the idea; AI is assaulting assumptions about what it can and cannot do at every juncture.
Many professionals unknowingly position themselves as competitors to automation. But competing on efficiency or productivity alone is a losing battle. To shift, ask yourself a different question: What do I uniquely contribute when the data is already available?
2. Become AI-fluent, starting today
NVIDIA CEO Jensen Huang warned in May 2025 at the Milken Institute Global Conference, “You’re not going to lose your job to an AI, you’re going to lose it to someone who uses AI.” Why not be that person instead?
In Build a Better Future: 7 Mindsets for Navigating the Age of Acceleration, I describe the Preparedness Mindset as most important of all — proactively anticipating change rather than reacting too late. Preparedness demands that, regardless of any misgivings about AI, we lean in to it, we become experts in it, and we design effective early warning systems to keep us abreast.
My suggestion is: spend time each week using new AI tools to draft communications, analyze data, brainstorm strategy, simulate customer conversations, and stress-test ideas. In doing so, you are not just learning to use new software. You are learning collaboration with a new type of intelligence. Those who understand what AI can and cannot do become indispensable translators between technology and business results. There’s no time to waste in becoming AI-fluent.
3. Hone your innovation skills
When the personal computer arrived, some employees feared it. Others stayed late learning spreadsheets and word processing. Within a few years, the difference in career trajectory was unmistakable. This same dynamic is unfolding again.
Tens of thousands of white-collar jobs are vanishing as AI starts to bite. Yet today organizations are desperately in need of people with an opportunity mindset – the outward focus to “find a (customer) need and fill it,” and to get new projects done, improve customer experience, motivate teams, enter new markets, and achieve unconventional results.
Human agency — the willingness to initiate action rather than await instruction — becomes a career differentiator. That might mean: proposing new AI-enabled services to clients, redesigning workflows, volunteering for experimental projects, or building personal expertise outside formal job descriptions. History shows that disruption rewards proactive learners who act on their ideas.
4. Move Closer to Problems, Not Tasks
AI replaces tasks faster than it replaces responsibility. Professionals who define themselves narrowly — “I prepare quarterly reports” or “I write marketing copy” — face greater exposure than those who own outcomes.
Executives increasingly value people who solve problems rather than execute assignments.
Consider shifting your identity toward improving customer retention, accelerating product innovation, strengthening culture, managing risk, or enabling growth. Tasks may change as AI evolves. Problems remain. This reflects what I call the Adaptability and Human Agency Mindsets — expanding your role faster than disruption can shrink it.
5. Develop A Long View of Value Creation
Periods of technological upheaval tempt people toward short-term survival thinking. Yet careers are marathons measured over decades. The professionals who flourish are those who continually reinvent how they add value.
Three forward-looking questions:
What skills will matter more five years from now?What emerging problems will organizations struggle to solve?Where can I become known as a trusted guide?
The Long View mindset encourages investing in capabilities that compound over time: leadership presence, interdisciplinary thinking, ethical judgment, and strategic foresight. Ironically, these human-centered abilities become more valuable as machines grow more capable.
The Opportunity Hidden Inside the Fear
As the futurist Thomas Koulopoulos observed in Gigatrends: Six Forces That Are Changing the Future for Billions, “As a species, we consistently allow the peril of the present to eclipse the promise of the future, and by doing that, we fail to comprehend just how much we can accomplish.”
Artificial intelligence will undoubtedly reshape entry-level work and certain knowledge professions. But history suggests something equally important: entirely new roles emerge alongside disruption. Entirely new opportunities will inevitably arise as well.
The printing press eliminated scribes but created publishers. The internet disrupted travel agents, yet produced digital marketing, cybersecurity, and platform entrepreneurship. AI will do the same.
The essential question is not whether change is coming. It is whether we as individuals choose to become passengers or navigators.
In an accelerated age, the safest career strategy is not hiding from technology but running toward it — with curiosity, agency, and vision. Those who learn fastest, adapt deliberately, and commit themselves to solving meaningful problems will not merely avoid displacement. They will help build the future that others are still struggling to understand.