Agree in many ways but the core work and expectations for PMs has already changed a lot and will continue to evolve. So this looks more like (at minimum):
- likely fewer PMs overall
- know how to get things done across complex orgs
- eval owners
- flex into sales, GTM and use agents for leverage
- comfortable getting code in prod (table stakes)
It’s tough to be comfortable at all of the above, and you’re an outlier if you can really flex in all of the above.
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I hate to say it but product manager is the safest role from AI.
Data engineer will feel pressure.
Analytics engineer will feel less pressure.
Data scientist will feel even less pressure.
PM will be elevated.
CEO will be put on the stratosphere.
Why is PM so safe?
Strategic roles that involve tons of in person interaction are the safest roles. CEO and founder are also extremely safe from being disrupted. PMs act like mini CEOs over their product areas.
Roles that are closer to the business that require more interfacing with stakeholders are safer than roles that are “behind-the-scenes.”
This is why I believe analytics engineer roles are safer than data engineer roles.
Analytics engineers are closer to the business and require more business acumen to be good at while data engineer roles require more technicals. Technicals are what is getting commoditized by AI.
This is why I’m starting an analytics+data engineering boot camp next month in October! Let’s build a skillset together that’s less vulnerable to AI!
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