Shaping Your Role Before AI Shapes It for You
The myth of stability in a world where technology moves faster than we think.
The Connecting Point essay | Words: 1,386 | Reading time: 7 minutes
Imagine this: You log in for your Monday morning meeting, only to learn that a new AI tool has streamlined processes you’ve spent years mastering. Your colleagues buzz with excitement, but a nagging question lingers in your mind: What happens to your role when AI becomes more efficient at parts of your job?
In today’s rapidly evolving workplace, the rules are changing. AI isn’t just automating tasks—it’s reshaping roles entirely. The professionals who thrive won’t necessarily be those with the longest tenure or deepest technical skills, but those who can adapt, redefine their contributions, and position themselves as indispensable in a tech-driven environment.
All Technology Is Connected
In the early days of Silicon Valley’s chip manufacturing boom, I stood before a room of fab operators during new hire orientation. As a trainer, it was my job not only to teach them their roles but to prepare them for the inevitable shifts technology would bring.
"The tasks you do today will change," I told them, while handing out catalogs from local community colleges—Mission, De Anza, West Valley, and Foothill—highlighting courses in technical training, engineering fundamentals, and business strategy.
Some took the advice, upskilling into troubleshooting, technician roles, or becoming engineering team members—future-proofing their careers. Others dismissed it, content in their fab operator roles.
Years later, those jobs disappeared—not just due to automation, but because the semiconductor industry itself moved. Skyrocketing Silicon Valley costs, global competitive pressures, and attractive government incentives elsewhere drove manufacturing to cheaper regions, first to other states, then overseas. The opportunities vanished along with them.
The Myth of Passive Adaptation
Back then, many operators assumed they had time. That change was far enough away to ignore.
But disruption rarely gives advance notice, and when it comes, it moves faster than expected. Today, AI presents a similar challenge. Even if experts argue that AGI is years away, the pace of AI development is accelerating. Waiting until disruption is at your doorstep is a losing strategy.
Just as I urged fab operators to learn how to troubleshoot, today’s professionals must take the initiative to understand the AI-driven changes shaping their industries. The question isn’t if AI will impact your job—but how soon, and whether you’ll be prepared.
Evolution of Professional Roles in the AI Era
In 2018-2019, a phrase surfaced across tech circles, business publications, and social media:
"AI won’t come for your job, but someone who knows AI will."
This concept held weight—until OpenAI’s ChatGPT breakthroughs accelerated AI’s impact in ways few had predicted. Today, AI’s influence on business and the workplace is no longer a hypothetical discussion—it’s happening now.
So, I asked Claude to update the phrase for 2025-2026, based on current and near-future trends. Here’s what it predicted:
1. "AI won't replace your job, but your job is now managing AI that does your old job."
2. "It's not about knowing AI anymore, it's about knowing which AI to trust."
3. "The value isn't in using AI, but in knowing where AI fails."
4. "AI isn't your competitor; not having an AI strategy is."
5. "Your expertise isn't replaced by AI; it's amplified through AI curation."
6. "The future belongs not to AI users, but to AI orchestrators."
These insights reflect a critical shift: It’s no longer simply knowing how to use AI. It’s about understanding and effectively managing, directing, and integrating AI systems. The real value? If you’re able to orchestrate AI – also knowing when human judgment should override AI recommendations – and not just interacting with it.
But here’s where it gets complicated.
A recent Microsoft report reveals an emerging pattern among young programmers becoming overly reliant on AI to generate code. While they efficiently complete tasks using AI-generated code, many struggle to explain the underlying mechanics of their own software. This raises a crucial question: Will this growing dependency on AI coding tools create a generation of professionals who lose the ability to troubleshoot complex issues or innovate beyond the AI's capabilities?
It’s not just entry-level workers who need to adapt their thinking.
During an earnings call, Marc Benioff, CEO of Salesforce put it bluntly: "We are the last generation to manage only humans." His company isn’t planning to hire any more engineers this year, signaling a shift in how tech companies view their workforce. His advice to other CEOs? They must rethink their management approach, preparing for a hybrid workforce of AI systems and human employees.
If leaders are reshaping the future of work to accommodate AI, professionals at every level must rethink their own roles. It’s no longer enough to be skilled in your field—you need to understand how AI fits into your workflow, when to rely on it, and where its limitations could create risks.
The Gift of Cognitive Dissonance
As AI reshapes workplaces, many professionals experience cognitive dissonance—a tension between believing their roles are stable and recognizing that technology is rapidly changing them.
You might think, "My experience makes me irreplaceable," yet see AI streamlining tasks you once considered your competitive edge. This discomfort can lead to denial, resistance, or stress—or it can spark action.
Cognitive dissonance is not unique to the AI era. It’s what humans experience whenever the status quo shifts, when industries evolve, when old certainties erode, forcing us to reconcile what we believe about ourselves when once-stable skills become obsolete.
Acknowledging this discomfort is the first step. By leaning in, you can identify ways to redefine your role, focusing on what AI can’t do like creativity, collaboration, leadership, and relationship-building.
Rather than resisting AI’s impact, use this moment as a turning point. The professionals who embrace adaptability will shape the future. Those who don’t will be shaped by it.
Taking Control of Your Role
There’s a lot of confusion right now about generative AI.
Will it replace jobs in the next 1-2 years? Will workers get a breather before AI-powered chat agents evolve into something more? Should you prioritize AI learning now or wait until the dust settles?
Here’s the risk of the wait-and-see approach: You don’t just fall behind, but you miss the opportunity to shape your role on your terms.
Shaping Your Role – The Opportunity Layer
Staying passive in an AI-driven workplace is a risky strategy. Roles are evolving rapidly, and the professionals who shape their own contributions will thrive, while those who resist (or deny) change risk being sidelined. As AI slowly “unpacks” the traditional workplace, job titles that once clearly defined your value are changing.
Three signs your role needs reshaping:
1. Repetitive tasks dominate your time
2. Your decision-making relies mainly on historical data
3. Your value proposition hasn't changed in 2+ years
Steps to stay ahead:
Anticipate Change: Identify which parts of your role AI is likely to automate. Ask yourself: What requires creativity, critical thinking, or emotional intelligence—things AI can’t easily replicate? Focus on developing complementary skills. For example, if AI is automating data collection, you become the go-to solution for interpreting and applying those insights.
Add Value Beyond Automation: AI is great at efficiency, but human strengths—like strategy, leadership, and problem-solving—are where the real opportunities lie.
Upskill Strategically: AI isn’t one-size-fits-all. Learn the tools that align with your industry’s most significant AI shifts.
Refresh Your Value Proposition: Visibility matters. Don’t just use AI—showcase how you leverage it to create impact. Consider sharing your learning during a “brown bag lunch” or a lunch & learn session. It’s a great way to share your contributions visibly and proactively. Highlight how you’re using AI tools to drive results, not just complete tasks. The professionals who communicate their AI fluency will stand out.
Be the Architect, Not the Subject of Change
I often think about those fab operators who ignored the opportunity to reinvent themselves. They had a choice. Many waited too long.
Today, the stakes are even higher, but the lesson remains the same: Change is coming.
The winners will be those who prepare now. Take the classes, learn the tools, and shape your role—before AI or automation does it for you.
The question isn't whether AI will change your role—it's whether you'll be the architect of that change or merely its subject.
Thank you, Chip, for the restack of an earlier post of mine--5 months ago! My goodness, I was just getting started🧭