This has become a hot topic lately—and understandably so. I hear the concern from employees, investors, colleagues, and even my own students. The question comes up in different forms, but it always boils down to the same anxiety: Is AI about to make me irrelevant?
I want to offer my perspective, not as a futurist or a headline chaser, but as someone who has been in IT since I was 18 years old, back in 1988 (yes, you can do the math). The company I worked for at the time paid for my university education, and ever since then, I’ve been hearing—on a very reliable 5-to-7-year cycle—that my job in the database world was about to disappear.
Every single time a new technology hit critical mass, the story repeated itself:
“This will replace DBAs.”
“This will automate IT.”
“This will eliminate the need for specialists.”
And yet—without sounding arrogant—I’m still very much needed.
First, a reality check: AI is not new
For those younger than me, this may come as a surprise, but AI is not new. In fact, it’s older than my mother. You don’t have to take my word for it—you can ask AI about AI 🙂
The foundational ideas behind artificial intelligence were published as early as 1943. The terminology and implementations have evolved over time, but the underlying goal has remained consistent: help humans make better decisions.
In the late 1980s and 1990s, we called much of this expert systems. These systems were used for predictability, forecasting, diagnostics, and decision support—everything from medical recommendations to stock trading models. AI has been quietly embedded in our systems for decades, doing exactly what it was designed to do: assist, not replace.
So… what actually changed?
Three major things—and their convergence is what makes today feel different.
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Data, everywhere
The internet turned the world into a massive, distributed database. Text, images, code, research, conversations—suddenly available at global scale. -
Elastic compute
Cloud platforms removed the barrier to entry. You can now spin up enormous computing power on demand, without buying a data center or “breaking the bank.” -
Insanely fast processors
Modern microprocessors can execute on the order of hundreds of billions of instructions per second, with multiple cores operating in parallel. Numbers that used to sound like science fiction are now commodity hardware.
That combination—data + compute + speed—is what unlocked the current wave of AI. Not a new idea, but a new scale.
The state of AI today: a productivity tool, not a replacement
Here’s the part that matters most.
AI today is a productivity tool.
A powerful one—but still a tool.
Yes, it can make you faster.
Yes, it can make you more effective.
Yes, companies benefit when employees can do more in less time.
But AI also:
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Makes mistakes (often confidently)
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Lacks true context
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Requires human judgment
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Needs supervision, validation, and responsibility
In other words, AI doesn’t remove the human from the loop—it demands one.
Will there be IT jobs in the future?
I’ll go on record and say this plainly:
Yes. Absolutely. Without question.
But they will not look like the jobs we have today.
My own career is proof of that. What I do today barely resembles what I was doing at 18—and that has far less to do with AI and far more to do with the simple reality that technology never stops evolving.
In IT, staying relevant has always meant learning, adapting, and evolving. AI doesn’t change that rule—it just reinforces it.
Ten years from now: humans + AI, not humans vs. AI
Looking ahead a decade, I still see AI primarily as a productivity amplifier. I expect a closer relationship between humans, AI systems, and automation—possibly even robotics.
Think of AI less as a rival and more as:
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A very efficient assistant
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One that handles repetitive or analytical work
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So humans can focus on creativity, strategy, security, design, and problem-solving
AI will help us tackle problems we don’t even have yet—just like every major technology shift before it.
Final thought
So no:
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Don’t change careers out of fear
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Don’t panic-sell your technology stocks
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And no—the world is not coming to an end
We’ve been here before. Many times.
Technology changes. Jobs evolve. Humans adapt.
And in the end, human judgment, creativity, and responsibility still matter.
They always have—and they still do.



