Eleonore:
Okay, now over to my next question. I think that
BCG is always at the forefront of being at the what is new? What is the future
of work?
And you are
also future of work expert. From your organizational psychology point of view,
what are the biggest opportunities for growth in your industry?
Christina Bösenberg:
That's a great question. Let's talk about AI first. We have been
implementing AI, large language models, since minute one. Of course, we are
always very curious on what new on the market.
We have to be
trend scouts because our clients want us to be trend scouts. They want to know
how the future will develop, how markets are developing, how products are
developing. So we implemented AI and large language models, generative AI at
very early stage, some of them even before they went to the broader market.
What I find as one trend the context of future of work is, profitability terms
of efficiency. So we have research here in place where we can save four hours a
week, only by using large language models, be it Gen AI or be it Gemini or
other. It's an average of four hours a week so of course with your capabilities
and competences, the efficiency is increasing and productivity is increasing.
It will be very interesting to observe this process also from a psychological
point of view, because there's so many psychological or organizational
psychological aspects that come with that.
Of course, everybody says, yes,
efficiency is great. Yes. But what about, if you have constantly a experience,
on a daily basis that the AI is so much smarter than you are, which we are
having all day. So the answers are very often better. They're of course faster,
more complex, more data in very short time.
And this is an interesting
psychological challenge for many leaders, especially those who've been in place
for 10, 20 years and consider themselves being a top expert and X, Y, Z, which
they are, which they totally are. But then, they have to work with a great AI
on a daily basis, I'm working with a gen AI, with several gen AI models and
others, I think 30 times a day or something.
For me, it's not a big thing
because I never perceived myself as a, Mega, top, super smart expert in
whatever because my background is not in science. Of course, I have several
Masters, but this is not the point.
The point is,
but for those who are coming from a scientific background, this will be
probably very interesting because the whole industry in professional services
is extensively working with AI. So you will have this experience. So then
there's this organizational, psychological questions,
Let's make a
case. Of course I sanitize it, but I had a client request half a year ago to
develop a global, pretty complex organizational architecture with a agile
operating system. So an agile transformation, but also a org design that is,
that was pretty revolutionary for that company. So normally I would have said,
10, 12 junior consultants or consultants on it, and they would have needed
probably eight days to really come up with a model with 20, 25 roles and
responsibilities, the interfaces and the committees where they meet and where
they don't meet and define the interfaces, everything. The AI did that in two
minutes. And, it was of great quality. Of course there has to be a senior
expert who's reviewing it.
And of course you're not selling an AI product to a client,
never. But, I mean, hey, this saves you so much time, also resources.
So next
question, next to the personal feeling of, oh my God, this is so much smarter
and faster than I am. It's, what are we doing with the free resources now?
What are we
doing with the four hours or eight consultants or whatever? This is another
challenge, not only in my company, but also in the whole industry that we are
facing in terms of future of work and future settings.