When I was looking at the job market in tech hubs, I noticed a pattern: companies weren’t just hiring domain experts but were also demanding data literacy and coding skills across almost every role. Some, like X are hiring large numbers of AI tutors for different departments to upskill their existing workforce.
In big tech, the expectation is clear: new hires should be able to build end-to-end products like developers and also bring able to analyze, understand and tell story about data. Storytelling with data is no longer a “data science ” skill which is not “nice to have” but a baseline. And development skills are essential not just for talking about ideas, but for shipping products fast and iterating in real time. In future with thousands of customized softwares, you need everyone to be developer.
In the future, being a domain expert will also mean being your own data scientist and developer. Twenty years ago, knowing how to use a computer was the game changer. Soon, coding and data literacy will play the same role. The earlier we embrace this, the better prepared we’ll be for tomorrow’s jobs.
This shift creates two categories of professionals:
The multi-skilled: those who perform in their own domain while also being their own data scientist and developer.
The passive: those who give up their job to AI, relying on Universal Basic Income (UBI) while AI handles their old job.
Category one will thrive. Imagine a project manager who not only manages projects but also designs an AI-led agent to oversee 100 sub-agents, iterates on the tool quickly, and presents clear insights to executives, all while excelling at traditional project management.
The future belongs to multi-skilled super humans.
Mohsin With E 
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