Over the last few years, there has been a wave of pandemonium regarding AI taking over jobs. Every time we see a headline about layoffs like Google's 12k cuts in 2023 or more recent movements at Oracle, the immediate reaction is "The robots are here to replace us."
But if we look beneath the surface, the reality is much more nuanced. As a software engineer currently swerving into the cybersecurity space, I've been watching this shift closely. Here's why the "AI is taking our jobs" narrative tells only half the story.
The "Over-hiring" Hangover
Firstly, we have to be honest about the context. In 2020, during the pandemic, big tech companies overhired at an unsustainable rate to keep up with the digital boom. What we are seeing now isn't just an "AI replacement" phase. It's a market correction. Many of the roles being cut today were a result of that rapid expansion, long before LLMs became a household name.
The New Equation: 1 Senior + AI = 3 Developers. Companies are using AI to streamline processes, not necessarily to delete departments. Think of it this way:
Imagine an IT department with 100 engineers: 50 Seniors, 20 Mid-levels, 10 Juniors, and 10 Entry-levels. When a Senior Engineer masters AI tools, their productivity doesn't just increase by 10%; it multiplies. A senior guy using AI can now deliver the output of one senior plus two mid-levels.
By doing this, companies can:
Reduce the Backlog: Tasks that used to take weeks now take days.
Shorten Delivery Dates: Products move to market faster.
Lean Out the Team: Unfortunately, this often means the entry-level and junior roles, the ones typically doing the heavy lifting on boilerplate code, are the first to be cut.
The Good News: A New Job Economy:
While some doors are closing, others are being kicked wide open. We shouldn't turn all our attention to the cuts; we need to look at where the talent is moving.
New platforms like Outlier and OneForma are prime examples of the burgeoning AI-training industry. People are literally getting paid to train, refine, and audit the very models that are changing our industry. AI is creating a demand for specialized roles that didn't exist three years ago, especially in data validation and ethical oversight.
Final Thoughts: Get Smart or Stay Salty
AI is here to stay, whether we like it or not. Its future isn't about taking jobs from people. It's about helping people deliver tasks swiftly, improving decision-making, and ideally, promoting a better work-life balance.
The responsibility now lies with us. You can either utilize these tools to become a multiplier in your field or be salty about the change. As we lean into this new era, we also have a responsibility to use these tools ethically and securely, especially as the stakes in cybersecurity continue to rise.
What do you think? Is AI a threat to your specific role, or have you already found ways to make it your "force multiplier"?
Let's discuss in the comments below.👇
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