Dear friend,
I'm writing this on the Central Line between Kalyan and Dadar, watching someone next to me use ChatGPT to draft an email on their phone. Five years ago, that same person would've spent 20 minutes crafting something in their head or scribbling notes. Now? Two minutes. Done. And honestly, it's better written.
This is the shift I want to talk about — not the hype, not the "AI will take all our jobs" panic (though that's real), but the actual, everyday way our work is changing. Because if you're in your mid-20s to mid-30s right now, working in finance, tech, marketing, analytics, or even operations, you're already living in a different world than your parents did. And ChatGPT didn't just arrive — it accelerated something that was already happening.
I've been thinking about this a lot at Morningstar, especially when I see how our team operates versus how we worked even 18 months ago. So let me share what I'm seeing, what I've gotten wrong, and what actually matters for your career right now.
The Version of Work That's Already Dead
Here's what surprised me the most: it's not the jobs that are dying. It's the process.
When I started at Morningstar in analytics, a significant chunk of my work was research. I'd spend hours reading documentation, cross-referencing datasets, building context before I even wrote a single line of analysis. There was friction built into every step. And we accepted it — that was just work.
ChatGPT broke that. Not because it can do the work better than me, but because it removes the friction of getting started.
The Research Tax Is Gone
Used to be: you'd need to read three research papers, summarize them, find data sources, validate methodology. Two hours minimum. Now? Feed ChatGPT the question, get a structured starting point in 90 seconds. That doesn't replace thinking — it replaces the grunt work of thinking.
I used to think efficiency was about speed. I was wrong. Efficiency is about where you spend your brain. And ChatGPT is shifting where that happens. You're no longer spending energy on recall and compilation. You're spending it on judgment.
The "Knowing the Right Framework" Edge Is Smaller Now
Back when I was starting out, a lot of career advantage came from knowing frameworks — STP analysis, Porter's Five Forces, SWOT, the whole business school toolkit. Having those in your head meant you could structure a problem faster than peers.
Now? ChatGPT knows every framework better than you do. It can output a perfect SWOT analysis in seconds. So what actually matters now is: Can you ask the right question? Can you know which framework matters? Can you challenge the output?
The skill moved upstream.
What's Actually Becoming More Valuable
So if ChatGPT handles research, drafting, summarization, and basic problem-structuring — what are humans getting paid for now?
The answer is specific to your context, but let me give you what I'm seeing in data analytics and finance.
1. The Ability to Ask Stupid Questions
This sounds like a joke. It's not.
ChatGPT will give you the correct answer to any question you ask. But if you ask it the wrong question, you get a confident, well-structured wrong answer. The skill now is intellectual humility — the ability to sit with a problem and ask "Am I even asking the right thing here?"
In my work, I've started noticing that the analysts who ship better insights aren't the fastest with ChatGPT. They're the ones who spend time questioning the brief itself. "Why does the stakeholder actually need this?" "Is this metric hiding something?" "Have we considered the opposite?"
This requires domain experience, curiosity, and a willingness to look stupid. Those things don't scale.
2. Judgment About Context
ChatGPT doesn't know your organization. It doesn't know that your CFO hates percentage changes and always wants absolute numbers. It doesn't know that a strategy that works at HDFC Bank will fail at a smaller NBFC because the customer base is completely different. It doesn't know that your data warehouse has a known lag issue that affects Wednesday reporting.
Context is your edge. The deeper your context, the more valuable you become. And ChatGPT actually makes context more valuable, not less — because now you're competing on judgment, not on effort.
3. The Ability to Push Back
This one is subtle but important. As teams integrate ChatGPT into workflows, there's a real risk that people start trusting it too much. Someone runs a prompt, gets output, and ships it because "the AI said so."
The people who get ahead are the ones who can read ChatGPT's output and say, "Wait, that doesn't track." Not because they're smarter, but because they're willing to verify, question, and own the outcome.
In corporate environments, that's rare. Most people want to outsource the responsibility. If you're willing to own the thinking even when you're using AI to speed up execution, you become irreplaceable.
The Skills You Need to Build Right Now
If you're 24 and just starting out, or 32 and feeling nervous about your career, here's what I'd actually focus on (and what I'm building myself):
Prompt Engineering Is Not the Skill
Everyone's talking about "learning prompt engineering." I think that's a red herring. Prompt engineering is easy — it's just learning to ask better questions, and that skill exists independent of ChatGPT. It's called critical thinking.
What matters is understanding what ChatGPT is good and bad at. When should you use it? When should you distrust it? That requires actual experience with the tool and experience with your domain. Both matter.
Domain Depth Over AI Breadth
I've seen people try to become "AI experts" by taking courses and learning theory. Meanwhile, the finance analyst who knows how mutual fund expense ratios actually work — even if they don't use ChatGPT much — is more valuable because they have judgment.
Build domain knowledge. The AI comes free. The expertise is hard to replicate.
Communication Gets More Important, Not Less
Here's what ChatGPT has exposed: a lot of people who seemed smart were just good at writing. They could structure a memo perfectly, string sentences together smoothly, make an argument sound airtight.
Now ChatGPT does that. So the people who stand out are the ones who can actually think on their feet, explain complex ideas in simple terms, and adapt their message based on who they're talking to.
If you're someone who can walk into a room and genuinely help someone understand something they didn't understand before — that skill is worth ₹20 lakhs a year more than someone who just types better.
| Old Career Advantage | What ChatGPT Did | New Career Advantage |
|---|---|---|
| Knowing frameworks and models | Made them freely available to everyone | Knowing which framework solves which problem (judgment) |
| Writing well (memos, emails, reports) | Generates polished writing in seconds | Communicating clearly — adapting to audience, explaining thinking |
| Research and data gathering | Accelerated and systematized information retrieval | Knowing what data actually means, context, edge cases |
| Speed of execution | Everyone got faster simultaneously | Speed of thinking — asking the right questions first |
| Technical credentials and certifications | Reduced gatekeeping (more people can access knowledge) | Depth of application — how you solve actual, messy problems |
How This Changes Your Career Strategy
Okay, so practically — what does this mean for how you approach your career right now?
I used to think career progression was mostly about: get better at your job, move to a better company, get a bigger title. That's still true, but the how is shifting.
Your First Move: Use It (Before Everyone Does)
Right now, there's a small window where using ChatGPT in your job is still a differentiator. In two years, it'll be table stakes. So if you're not using it regularly, start now. Not because you need to be an "AI expert," but because you need to understand how it changes your work.
Use it to draft emails, summarize papers, structure problems, explain concepts to you. Get familiar with where it's useful and where it fails. This experiential learning is worth more than any course.
Build Leverage in Judgment
Since ChatGPT handles effort, your leverage increasingly comes from judgment — and judgment requires skin in the game. You can't build judgment from the sidelines.
This means: take on projects where you own the outcome. Not just "contribute to the analysis," but "this insight is mine, and if it's wrong, I know why." That ownership builds the pattern-matching muscle you need.
The Generalist Vs. Specialist Question Gets Sharper
ChatGPT makes generalist knowledge (knowing a bit about many things) cheaper and more accessible. It does not make specialist knowledge cheaper. A domain expert with deep knowledge is more valuable than ever, because their value is context, patterns, and judgment.
If you're trying to decide between broadening your skills or deepening them — deepen. Your organization can hire ChatGPT (or use it for free). They can't hire your expertise.
My Perspective
Here's what I'm actually sitting with: I got my first job partly because I was good at something ChatGPT is now trivially good at — structuring information and writing clearly. I had an edge because I could take a complex topic and explain it well. That's no longer an edge; it's a commodity.
For a few months, I was anxious about that. And then I realized something — at Morningstar, the insights I'm most proud of aren't the ones where I was fast. They're the ones where I pushed back on a brief and asked, "Are we measuring the right thing?" Or where I noticed a pattern in the data that the stakeholder missed. Or where I spent time understanding why a fund underperformed, not just summarizing that it did.
Those things required judgment, context, and stubbornness. ChatGPT doesn't do that — at least not yet. And honestly, my ability to do that is now more defensible than my ability to write a good memo (which ChatGPT does in 30 seconds).
What surprised me most: the people at my company who are panicking about ChatGPT are the people who were never really that valuable anyway. And the people who are calm about it — or even excited about it — are people who do work that requires judgment. They're not worried because they know their value isn't in effort. It's in thinking.
Final Thoughts
If you're reading this and feeling nervous, I get it. Change is unsettling, especially when it's this fast. But here's what I actually believe: the people who'll be fine aren't the ones who become "AI experts." They're the ones who stay curious, build deep expertise, and learn to use tools (including ChatGPT) to think better — not to think less.
The commute back from Mumbai gives me time to think about this stuff, and honestly, I'm optimistic. Not because the disruption isn't real — it is. But because the people who succeed in disruption are usually the ones who understand the new game faster than others. And if you're in your 20s or early 30s, you have time to adjust and experiment.
Use ChatGPT. Get comfortable with it. But remember: the tool is just an accelerant. It makes you faster at what you're already doing. The real skill is knowing what's worth doing in the first place.
That's still all you.
Talk soon,
Dattatray
Dattatray Dagale
Data Analyst • Blogger • Mumbai
I'm a data analyst from Kalyan, Maharashtra, working at Morningstar. I write about personal finance, career growth, and everyday life for Indian millennials — the stuff I wish someone had told me earlier.
Written by Dattatray Dagale • 04 June 2026
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