7 Career Lessons From the 23-Year-Old Chief AI Officer Everyone's Talking About
As AI picks off entry-level jobs, there are plenty of Gen Zers struggling just to land entry level positions. But a few of their generational peers — whose formative professional years coincided with the rise of generative AI — have broken through at high levels. Their stories offer hope for the generation born between 1997 and 2012.
Take Zain Lakhani, who in 2022 was already leveraging AI at age 19, as many leaders were still struggling to understand the implications. After selling his first startup, he was recently hired as the chief AI officer at Pendo, a North Carolina-based software firm. At the time he was hired, Lakhani was just 23 years old.
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Lakhani was profiled in a recent Wall Street Journal article, with an emphasis on how his relative youth has been an asset, not a hindrance.
“He’s got experiences we don’t have,” Pendo chief executive Todd Olson, age 50, told the Journal. “He’s got perspective we don’t have.”
There are multiple career lessons from Lakhani’s rise for members of Gen Z — as well as older employees and employers — to consider:
1. Youth Is Moving Toward Being a Leadership Advantage
AI fluency is becoming a differentiator. With AI skills still scarce, companies increasingly value leaders who can build, evaluate and operationalize AI without needing years of retraining. Lakhani’s rise shows that native familiarity can outweigh traditional experience and tenure.
2. Younger AI Natives Can Offer Different Takes on a Range of Issues
Lakhani’s influence extends beyond engineering. In one marketing discussion, he suggested using a popular meme, a move Olson said he never would have thought of. Cultural fluency is no longer optional for companies selling to younger buyers and leaders who understand digital language, humor and trends can help brands stay relevant.
3. Younger AI Natives Excel at Keeping Older Leadership up to Date
Olson told the Journal that Lakhani keeps him updated on the latest AI releases and helps him understand which models are best suited for various tasks. In a world where executives struggle to keep pace with AI’s evolution, being the person who can translate the landscape can become a leadership superpower.
4. Younger AI Natives Can Help Companies Rethink the Interview Process
Lakhani has reshaped Pendo’s engineering interviews by adding live programming sessions that reveal how candidates use AI to solve problems. It’s a shift from evaluating static knowledge to evaluating AI‑augmented problem solving.
5. Younger AI Natives Can Help Drive Wider Adoption Among Employees
Let’s face it: Using AI just isn’t in the DNA of many older employees. Placing younger AI experts in leadership roles is one way to turn the cultural battleship, however. And leaders like Lakhani may also have a leg up in introducing more broad uses of the technology, as opposed to just using it.
6. Younger AI Natives Can Help To Redesign the Work, Not Just the Tools
According to Olson, one of Lakhani’s biggest contributions at Pendo is rethinking how products should behave in an AI-first world. Historically, Pendo’s analytics tools delivered deterministic answers. Lakhani pushes for something more dynamic: systems where AI proactively suggests what customers should explore and surfaces insights from broad, complex datasets.
7. The Trajectory for AI Natives Is Improving
Lakhani’s rise doesn’t erase the challenges facing his generation, but it does signal a shift. AI natives who pair skill with initiative can move faster and farther than traditional career tracks previously promised. The feast is no longer hypothetical. It’s emerging.
This article was provided by MoneyLion.com for informational purposes only and should not be construed as financial, legal or tax advice.
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