Why AI Is Now the Universal Job Requirement
Historical parallels with ATMs and spreadsheets reveal AI’s true impact: not mass unemployment, but job transformation and new opportunities. AI-skilled professionals now earn up to 25% more than their peers. Success in today’s job market may very well depend on embracing AI as a collaborative tool and asking the right question: What makes me MORE valuable when paired with AI?
“Why AI Is Now the Universal Job Requirement” Podcast
Why ATMs Didn’t Render Bank Tellers Obsolete
When Automated Teller Machines (ATMs) were introduced in the 1970s, many expected this technological rise of the robots moment to cause massive unemployment for bank tellers. Instead, the reverse happened: bank teller jobs actually increased, growing faster than the labor force as a whole.
While ATMs reduced tellers needed per branch from about 21 to 13, operating the branches became more cost-effective. This allowed banks to expand their footprint, creating more total teller jobs rather than less. The second area where ATMs improved operations was the customer experience—tellers evolved into relationship banking specialists, driving financial product sales and performance for the banks.
AI’s Impact on Jobs: The Latest Predictions
I reference the ATM example because of several stories that came out this week about AI’s impact on the workforce. Anthropic (Claude AI) CEO Dario Amodei reportedly portrayed AI as a catalyst for a white-collar job displacement, predicting that “half of all entry-level white collar jobs will be eliminated and push unemployment up 10%-20% over the next five years.” He warned that lawmakers and CEOs need to pay closer attention to this “job apocalypse,” eliminating positions across “technology, finance, law, consulting and other white-collar professions, especially entry-level gigs.”
The Future of Work with AI: A Different Perspective
“56% wage premium for AI skills when comparing workers in the same job with and without AI skills, up from 25% last year”
PwC actually had a more optimistic perspective on this topic, one that aligned with how the banking industry benefited from ATM technology. PwC’s Global AI Jobs Barometer revealed “that AI can make people more valuable, not less—even in the most highly automatable jobs.” This study found:
3x higher growth in revenue per worker in industries more exposed to AI.
100% of industries are increasing AI usage, including industries less obviously exposed to AI, such as mining and agriculture.
66% faster skill change in AI-exposed jobs, up from 25% last year. This change is fastest in automatable jobs.
56% wage premium for AI skills when comparing workers in the same job with and without AI skills, up from 25% last year.
AI Adoption Trends: Unprecedented Growth
Another encouraging example about the future of employment came from Mary Meeker’s 340-page Bond Capital AI Trends Report. One section that stood out was “AI & Work Evolution = Real + Rapid,” showing how AI adoption is occurring at an unprecedented pace—faster than any previous technology cycle.
“ChatGPT scaled from zero to 800 million users in just 17 months, with AI chatbots now indistinguishable from humans 73% of the time. To put this into context, it took Google more than 25 years to fundamentally alter the way the world’s information is searched for and discovered.”
ChatGPT scaled from zero to 800 million users in just 17 months, with AI chatbots now indistinguishable from humans 73% of the time. To put this into context, it took Google more than 25 years to fundamentally alter the way the world’s information is searched for and discovered. As Ms. Meeker notes, “AI is foundationally changing the way we work. We’ve gone from the reasoning capabilities of a high school student to those of a PhD candidate. The idea of the human workforce reconfigured to teach and refine machines as a primary function might sound dystopic. But it’s worth remembering historical parallels. Fifty years ago, this prospect of rows of cubicles and uniformed office workers sitting quietly in front of LED computers ten hours a day likely sounded equally dystopic. Yet here we are.”
Technology and Jobs: The Spreadsheet Parallel
When we think about how technology has altered the way we work and its impact on the workforce, there’s a compelling parallel between digital spreadsheets and generative AI. When VisiCalc spreadsheet software was launched in 1979, accountants literally typed numbers into a computer grid and then used calculators to do the math, not understanding that the software could compute automatically.
This spreadsheet revolution taught us two key lessons about workplace automation:
Technology can disrupt entire industries overnight. In just a few years, digital spreadsheets eliminated countless hours of manual calculation work—i.e., the tedious filling of rows and columns and calculator punching that once defined accounting.
Yet the job market response defied expectations. While VisiCalc automated away much cognitive labor, U.S. accountants actually grew from 339,000 in 1980 to 1.4 million by 2022. Rather than destroying the profession, spreadsheets freed accountants from arithmetic drudgery to focus on higher-value work.
“When a tool is ubiquitous, and convenient, we kludge our way through without really understanding what the tool is doing or why. And that, as a parallel for generative AI, is alarmingly on the nose”
Technology analyst Tim Harford raises these key questions: “The spreadsheet also illuminates something we don’t yet know about generative AI—will it favour the underdog or the top dog? Will it reshape jobs to make them more interesting, or will it leave humans with the tedious tasks?”
He goes on to say: “When a tool is ubiquitous, and convenient, we kludge our way through without really understanding what the tool is doing or why. And that, as a parallel for generative AI, is alarmingly on the nose.”
I think this is the key for minimizing Mr. Amodei’s white-collar bloodbath prediction: If more people and companies stop treating AI as a dystopian quick fix and start embracing it as a collaborative tool, they’ll be able to reap the rewards of human-AI collaboration.
Beyond Job Displacement: How AI Is Transforming Work Across All Industries
The historical examples of ATMs and spreadsheets show that while technology displaces specific tasks, it also typically creates demand for higher-level human skills. The people who are thriving in today’s business environment are those that welcomed AI as a collaborator early on and that focus on the uniquely human elements that become more valuable, such as creativity, judgment, relationship-building and strategic thinking.
When it comes to AI in the workforce, Bond Capital’s AI trends report shared this quote from NVIDIA Co-Founder & CEO, Jensen Huang: “All of you have heard a lot about [AI] job displacement. Every job will be affected. Some jobs will be lost, some jobs will be created, but every job will be affected. And immediately it is unquestionable, you’re not going to lose a job–your job to an AI, but you’re going to lose your job to somebody who uses AI.”
This is a powerful and accurate statement about the importance of closing the AI readiness gap.
AI Job Growth Across All Sectors
Remember the question Mr. Harford asked earlier about whether AI will reshape jobs to make them more interesting, or will it leave humans with the tedious tasks? The statistics point to AI making jobs more interesting. Last year, AI-related job postings peaked at 16,000 in October 2024, confirming AI’s rapid expansion across industries. PwC’s research showed that “postings for AI jobs are growing 3.5x faster than for all jobs. For every AI job posting in 2012, there are now seven job postings.”
But what I found more surprising in the same report are the high-growth areas for non-technical roles that now require “a touch of AI savvy and tool familiarity.” Leading this surge: financial services (2.8x higher share of jobs requiring AI skills), professional services (3x higher) and information & communication (5x higher), which comes with up to a 25% wage premium. Non-tech sectors are creating new AI-enabled roles, including algorithmic traders in finance, AI content generation specialists in marketing, robotics maintenance technicians in manufacturing and production optimization analysts—impacting sectors ranging from healthcare and manufacturing to legal services.
What Are the Skills that Bring Out AI’s Best in Us?
Whether it was the ATM technology that helped rethink the customer experience by transitioning bank tellers to better understanding customers’ needs through relationship building, or how the digital spreadsheet triggered explosive growth in the accounting sector, led by strategic analysis and improved advisory skills.
These careers weren’t blindsided by technology transformation; rather, banking and accounting firms embraced new ideas and became technology-enabled. For years, companies have been throwing millions at “digital transformation” initiatives—e.g., new platforms, systems and tools—but often with mixed results because they were essentially digitizing existing processes without a clear strategy about how they would drive enterprise-wide adoption. In fact, 70% of digital transformations fail because of a “lack of buy in.”
Which is why the real transformation needs to start with people. The AI conversation should focus on the human adaptation piece of the process—i.e., helping employees reimagine their roles and how they problem-solve, and what human-agent collaboration would look like.
You can’t just bolt AI onto existing job descriptions and call it done. The people who will thrive in today’s job market are those who proactively ask: “What am I uniquely good at that becomes MORE valuable when paired with AI?” rather than “How do I protect my current tasks from being automated?”
It Needs to Start with a Personal Transformation
Early in my career, I witnessed the dot-com boom and digital/social media’s integration into the advertising world. While I chose to embrace these changes and foresaw how these platforms would transform marketing, many of my peers did not. Instead, they saw these digital platforms as a blip that would never change the need for print or TV advertising. Unfortunately, over the course of just a few years, they found themselves no longer relevant and unemployed. Their inability to either accept or understand what these new platforms were capable of proved to be shortsighted.
I feel the same is now true with AI. Yes, it will certainly eliminate jobs, and yes, it will also create new ones. While at first it may not be easy, we need to change the way we think about work, collaboration and value creation. Embracing AI as a new chapter in one’s career that creates new opportunity, personal growth and financial security rather than seeing it as a threat will determine who thrives and who gets left behind.
As always, thank you for reading or listening. Questions? Feel free to email me here.
