Software & Security | Will AI take jobs or make jobs?

Past few months I’m reading and watching videos about next:

• CEOs predict guaranteed dawn of Software Engineers in era of AI
• “Solopreneurs with AI will outperform companies R&D teams in matter of one-two years”
• Vibe Coding supremacy over traditional engineering
• “Two developers with AI will replace huge teams and deliver software faster“

And many more…

If you are like me — you will either treat avalanche of those posts like a hype wave, be skeptical and continue to do your craft like before, or be a bit scared.

And I was, and maybe now, mostly scared 90% of the time — I’ll have to change, it’s inevitable. Progress in AI grows exponentially and no one can deterministically predict where it will be in 6–12–18 months. It’s almost like a technological revolution like mechanization, electricity invention or WWW, we just don’t know it yet.

And we cannot stop it, so we have to adapt.

But here is the thing — each time something changing was rolled out — it always led to some people stop doing what they were doing, and in the same time — if freed up time & resources to do more efficient, creative, effective and strategic-positive jobs.

For instance — there was a time when most of us had to work in the fields & agriculture in order to feed us.
What happened to people after tractors and other mechanization tooling came? The ones who were working with a shovel, they started to work behind the wheel or a tool and be more productive. And also — not everyone had to work in the fields from that moment, so they moved to doing other types of work.
Then the industrialization came in — we started to have factories. And what happened there? A lot of people moved from fields into factories to do work other than working in the fields. We are coming closer to modern world.
At some point, automation happened on those factories — which created IT jobs, which let people to do yet more things.

Now we can treat as if we are in-between IT and AI eras. And the AI era will take out some of our cares AND will create the area that should be cared about as well.

Let’s take a look at Cybersecurity perspective. I’ll keep it simple and consider the pros and cons of AI in Cybersecurity on a table with a bit of charting:

So, if you look at the right side of the table, you’ll see that AI brings a lots of problems also — and it means that they must be solved by human in the loop. Or at least human must manage a team of AI Agents in order to prevent breach/attack/{you-name-it} in the future.

With that being said, AI will make computers automatically or scriptedly, or figure out what and how do things we had to do manually before, but we’ll have to develop more critical thinking (in order to detect smart phishing, for instance), ask “good” AI right questions and think strategically.

Cybersecurity field is ever-changing niche and race between blue and red teams will last forever.