Is Your Career AI-Ready for 2025?
Insights from CTO of AI HRtech
“AI is definitely impacting the job market.”
As much as we don’t want to believe that AI is impacting us,
it is.
I’m floored with what Jerry said and in the meantime not so surprised.
This year to next year, the question on our mind should be:
“Is my career AI-ready?”
To answer this, we turn to Jerry Wang, a visionary in the AI-powered hiring space, for his invaluable insights on the future of work.
"Maybe in the future, everyone is a product manager. You can use the AI copilot to develop a small demo pretty fast. You don't have to code at all. You only have to tell what you want,"
predicts Jerry Wang, CTO of OpenJobs AI.
The Convergence of Software Engineering and AI is Creating Hybrid Roles
Software engineering and AI (just a little more than 2 years ago, more would call this ML or deep learning) don’t exist in separate silos anymore.
Wang observes a fascinating trend:
"What I'm observing is that it isn't a complete replacement of traditional software engineer roles with AI roles, but it is a kind of fusion of skill sets."
This fusion is giving rise to a new breed of professionals - hybrid talents who can seamlessly navigate both traditional software engineering and AI domains.
Companies are increasingly seeking these versatile individuals who can wear multiple hats.
But what does this mean for you?
It's time to expand your skillset.
If you're a software engineer, start familiarizing yourself with AI concepts. If you're an AI specialist, brush up on your software engineering fundamentals. The future belongs to those who can bridge these worlds.
AI Literacy is Becoming a Non-Negotiable Skill Across Industries
"More positions, regardless of the software engineer positions, I mean the other like tech-related positions will require more knowledge about AI," Wang predicts.
This isn't limited to tech roles either. Even traditional industries like healthcare and finance are jumping on the AI bandwagon.
Wang emphasizes,
"Even if you are a product engineer or manager, you have to know more knowledge about AI than today's."
The message is clear:
AI literacy is no longer a nice-to-have, it's becoming a must-have across the board.
For non-technical professionals, don't panic.
You don't need to become an AI expert overnight. Wang suggests starting with the basics:
"They can learn some basic things. They only have to know some concepts and they can watch some channels like your TwoSetAI. They can go to YouTube to find some very fundamental and very easy to follow channels to learn some basic concepts."
The Rise of End-to-End AI Engineers: A New Breed of Unicorns
As AI becomes more integrated into every aspect of product development, there's a growing demand for what Wang calls "end-to-end AI engineers."
These are professionals who can handle everything from data analysis to AI training and deployment.
"I think the job market is expecting more of this kind of roles, who can do like data analysis and AI training and AI deployment," Wang notes. "Those people are pretty welcome in the job market now. And the public salary for those is also very promising."
How promising?
Wang suggests that in Silicon Valley, these roles could command salaries of up to $$$$ per month. However, he cautions that these talents are "very rare." If you're looking to future-proof your career, developing this end-to-end skillset could be your golden ticket.
The Unexpected Skills That Will Set You Apart in the AI Era
While technical skills are crucial, Wang emphasizes two often-overlooked areas that can significantly boost your marketability:
…
Curious to learn more?
In this video, we also covered -
↳ What’s the optimal balance of AI vs. software experience on your dev team?
↳ Which jobs are most at risk, and which new roles are emerging?
↳ How should you upskill today to stay ahead?
↳ Is domain knowledge the new “must-have” for AI-driven development?
↳ Should you master Retrieval-Augmented Generation, multimodal pipelines, vision models, or something else?
↳ What’s the current market rate for a full-stack AI engineer?
Watch the full episode here! 🤓:
👇
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