Now here's
your homework. Play around with new AI tools in your skill vicinity. Whatever
your study degree is as a bachelor or master, you can play around with that
during your studies. And if you are a scientist already, then play around with
AI in your studies, for your research and also for your teaching. Okay. So you
need to reflect on the chances and risks of AI for your work at hand, because
you are already experienced as a student or as a scientist, you need to connect
that as a tech stack and use your data flow and the analytics for informed
decision making. And that is actually great for you as a scientist because you
understand the data flow anyway. You can do your data exploration with AI on
your AI driven project. That is huge.
So, I want you to reflect on that weekly
or at least monthly, be creative in
iterations, this is hypothesis testing. The more you use that, the more
comfortable you will feel working with AI, and that will be helpful for you to
be employable in a future proof company as well. If you are a master's student
or a scientist, you can take the lead and suggest to do a task like this in the
context of your curriculum so that you can also hone your online and in person
teaching and training skills on a new exciting topic that will help every one
of you in the class.
And just as an
example, for my podcasting business around this PostdocTransformation Show, I
started I started to play around with ChatGPT in December, 2022, and here are
the tasks where AI helps me in various forms, social media marketing, selling,
operations, delivery of my e courses. And with that free time, I can now
concentrate on the strategy, pivoting my business for better profit, building
relationships, not only with interesting interview guests, but also with the
company representatives for which I have become an affiliate partner because I
love to work with them, using their products and services for my own business.
And yes, I am
lucky, I am an expert with experience and I honestly love using AI infused
tools strategically in almost all my business workflows. Obviously the human
idea It is coming first, but at the end of the day, the way I produce my
things, everything else is AI infused.
The contrast
to a new, willing junior or unexperienced worker is huge, and according
to how I set up my tech stack, it works, it never forgets a set deadline,
there's no emotional conflict, and it always delivers whenever, wherever on my
demand.Seasoned leaders with experience under the belt are growing unwilling to
pay for the learning curve of a junior workforce because they think that AI can
do the work much better, faster, etc. But the thing is that young people need
to have work experience and if you're not giving them the chance to work, then
they will never master AI.
So, this is an
investment of companies that they have to be willing to do in order to
capitalize and grow a workforce, a human workforce, that is able to steer and
control AI.
I am
anticipating a huge employment gap. Not maybe now, but in the next couple of
years.