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Reader Question: Will AI take all the 'junior jobs'?
AI's impact on junior jobs, and how to use it as a career accelerant instead
Welcome to another edition of the best damn newsletter in AI.
As a reminder, we’ve opened up Reader Questions. Our mission is to make using AI accessible to every business, and a huge part of that is making sure you’re not stuck and that we continue answering diverse questions. So, submit your question here. We’ll review every single one and cover answers here in the newsletter.
Here's what we're covering today:
How will AI shape your career: replacement or accelerant?
Microsoft and Nvidia made big moves this week
& more
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Let’s get to it! 👇
THE TOP NEWS
After raising $1.3B, an AI startup trying to build the “friendliest AI” just got eaten alive by its biggest investor, Microsoft in an opportunistic takeover that raises skepticism. The quick gist: Microsoft hired the founders to run new consumer AI division (without just acquiring the company… odd)
Nvidia also had a big week. Amongst many things, they revealed Blackwell B200 GPU, the 'world's most powerful chip' that’s a 5x improvement on a model they released in 2022
TODAY’S PERSPECTIVE
Will AI take all the ‘junior jobs’?
My daughter is about to enter college. Previously I would have recommended business or tech. Now, not so sure…. If AI can do the job of junior people, will she have a job when she graduates? If not, how will we ever get more senior people in the future?
Here’s the thing. “Autonomous AI agents” are being hyped up a lot right now. But it’s not empty hype. There are a few business functions where AI is progressing very, very fast on its ability to complete junior-level jobs:
Responding to basic customer support inquiries — aka customer support associates
Doing cold outreach & trying to book sales meetings — aka sales development reps
Writing basic code, fixing small issues and testing software — aka junior software engineers
The alarming part (as our reader mentioned) is that these roles historically were in high demand and served as a great place to start your career with minimal prior experience.
But - there’s a good chance that these junior-level roles will be performed 100% by AI in the near future; in fact, we’re already seeing it.
And the idea is that people will take on the more complex sides and tasks that AI can’t do yet… but that requires expertise, which junior people don’t have.
… so …
If AI can do the job of junior people; what jobs will young people do, and how will we get senior people in the future?
Look, we can’t predict the future. But what we can shine light on is what we are hearing + what we’d do if we were in those shoes.
Broadly speaking — we are seeing roles go down one of two paths: career replacement, and career acceleration.
Yes, there is replacement: there are roles that just won’t exist anymore (we think Sales Development Reps are one of them, but that’s a topic for another newsletter).
But career acceleration is much more interesting; the roles where the path from junior to senior is merely accelerated, thanks to AI.
Software engineering is a very clear example of this. A typical software engineer spends the first few years of their career learning the fundamentals, how to write in a programming language or two, asking tons of questions, having both wins and failures through projects.
AI is simply accelerating this. How? Well here’s the 3 things we’re seeing junior people do differently with AI:
Treating AI like your 24/7 mentor
Learning to work alongside AI — you think, it does
Staying accountable to the outcomes
Treating AI like your 24/7 mentor
Blindly copy and pasting work from ChatGPT to do your job is no different than copying your friends’ homework. Sure, you might get stuff done faster and a better grade, but you didn’t learn. And that will catch up to you at some point.
Instead, when using ChatGPT at work, ask deeper questions about its outputs. A great place to start is the 5 Why’s.
Learning to work alongside AI
One way to think about working AI-first is making an assumption that whatever you choose to do, AI will actually be doing most of the execution. And so first, before you even get started, how can you frame or tackle the project or task at hand to leverage AI’s strengths.
A simple technique is getting in the habit of writing out a step-by-step plan before beginning work. Then, before you begin, pause and think about opportunities to lean on AI throughout the project.
Staying accountable to the outcomes
Everyone will use AI to do their jobs. But the best people will put their name on the work in the end; not AI’s. And they’ll edit and improve the work.
AI is changing how we work. There’s no arguing that. But if we were starting out our careers today, we’d be thinking about how AI can accelerate our path to a more senior position - rather than pose a risk of replacing.
LINKS
For your reading list 📚
We’re seeing government catch up to the ChatGPT boom on many dimensions…
Homeland Security is testing AI to help with immigration, trafficking investigations, and disaster relief in a $50 million total investment
Truecaller adds a new AI feature to detect and block more spam calls in an effort to grow its premium subscriptions
EU dials up scrutiny of major platforms over GenAI risks ahead of elections in an effort to issue guidance for election security and preparedness for issues like political deepfakes
Industry leaders are quoting AGI timelines all over the place…
Nvidia's Jensen Huang says AI hallucinations are solvable, artificial general intelligence is 5 years away in an optimistic outlook on the state of AI technology
However, Sam Altman “confirms” we’re not at AGI yet
Why Figma CEO Dylan Field is optimistic about AI and the future of design despite pressures on the open web model from dominant platforms and AI
And if you’re really nerdy…
xAI open sources Grok in a move to make its AI chatbot available on GitHub
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🪄 The AI Exchange Team