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“AI will replace software developers by 20XX...” Does this kind of alarming forecast sound (too) familiar to you? How do you stay relevant in the workforce of the future? What are the essential skills in the age of AI to hone or to develop?
That is the question...
Now, what we do know is that:
In other words: as we teach machines to learn, we, too, need to start learning from them in order to remain relevant and competitive in the workforce of the future. It's definitely not a “one-way street”.
What do you think of when you say “artificial intelligence”?
These are the most common applications of AI, right?
And they're all powered by... data:
There are massive amounts of raw data all around us, waiting to be processed... meaningfully. Data that's powering any organizational decision these days.
Now, here's how AI turns all this data into actionable knowledge:
“And how precisely does AI impact my job?”
The immediate impacts of Robotics Process Automation on your job as a software developer will be:
“Time” that you could invest in honing all those skills that can't be automated: soft skills (or people skills), the ability to engage in creative researches etc.
There's no denying it:
In order to stay relevant and competitive in the age of AI you need to skill up. Constantly...
You need to make learning an integral part of your daily work as a software developer.
And thank God, there's a whole plethora of:
… for you to choose from.
Go for bite-sized upskilling sessions and turn it into a continuous process!
And this is your trump card in this “human meets machine” or “AI threatening to replace developers” type of debate:
Soft skills become extremely valuable in the age of automation because... they can't be automated.
What skills I'm referring to here?
In short: those type of skills that are outside the purview of rigid algorithms.
Hone your “people skills” to thrive in a workplace based more and more on collaboration. And on crafting authentic human experiences.
Perfect your creativity and critical thinking to generate out-of-the-box solutions to common problems.
"Fusion skills” are the must-have skills in the age of AI.
I'm talking here about the kind of abilities that result from human & machine interactions turned into a continuous collaboration, such as:
Develop the skill of asking machines the “right” questions.
It will become a crucial one since, as human, you can't predict interactions between complex layers of data working independently. You cannot probe overly complex systems...
Instead of constantly fearing it and fighting it back:
Embrace the power of AI bots.
Let them empower you to:
One of the truly powerful skills in the age of AI is anticipating when a machine can't make a decision. Due to lack of ethical context, let's say.
It's then that you can intervene and provide the needed input.
As already stated here:
The learning process is no longer a “one-way street”. You, too, need to learn from the AI agents integrated into your workplace, not just the other way around.
It means that you'll need to:
Keep honing — or developing it if you have none — the skills responsible for reimagining the status quo.
Dare to re-think how AI can improve business models, organizational processes and overall your entire work as a software developer.
Once you've managed that, you'll be ready to... adapt yourself to all those imminent changes. To start perfecting all those relevant skills in the age of AI.
Organizations will be “hunting” expert-generalists, so make sure you're prepared to... stand out.
Not just as a specialist, but as a well-rounded software developer:
In other words: to stay competitive you'll need to go from having in-depth expertise in one area, to... having a broad breadth of knowledge and multiple expertise areas.
In the end, perfecting/developing the crucial skills in the age of AI comes down to this common sense criterion:
Invest in honing those skills that enable you, as a software developer, to collaborate with different AI agents.
The workforce of the future will not be focused exclusively on human intelligence (not anymore) or on AI, but on... collaborative intelligence.
In other words: let AI empower you in your work, perfect those skills that machines can't automate and... learn to collaborate with AI systems.
Photo by Franck V. on Unsplash.
We’re excited to hear your project.
Let’s collaborate!