Hi ,
Machine learning, which lies at the heart of most modern AI processes, works by recognising patterns in data. And the tasks most
suited to automation are also the most repetitive.
So, any job that requires the performance of repetitive tasks, day after day, is a job you *really* don't want to be in right now.
As
Blair Enns recently tweeted:
"The most vulnerable knowledge workers today are those who fall in love with their tasks, taking comfort in repetition and routine. AI is about to eliminate all this busy work."
A few weeks back, I wrote about the principle of "reuse to reinvest," whereby organisations could reinvest the time saved through AI automation to improve their customer experience.
But what if you have a repetitive
job and your organisation doesn't take such an enlightened view of how to spend the dividends of AI automation?
The solution can be found in the alternative principle of "reuse to reinveNt", suggested by friend-of-the-list Rod
Aparicio.
As soon as you become aware your job is at risk of AI automation - whether your employer has done so or not - take the initiative and begin the journey towards reinvention.
Here's the thing…
AI will inevitably replace many knowledge workers over the next few years, but that doesn't mean you need to sit back and let it happen to you.
The AI automation of a task you previously considered your own can be viewed as a crisis or as a sign it's time to reinvent yourself - by taking the initiative and developing skills that aren't so easy to automate.
If you don't know where to begin - start anywhere. Because the very act of demonstrating initiative is
something AI can't replace.
Talk again soon,
Dr Genevieve Hayes.
