- 5 hours ago
AI may be the latest disruption reshaping business, but the challenge facing leaders is a familiar one: making consequential decisions without complete information. As technology cycles accelerate and pressure for short-term results intensifies, how do organizations build strategies that endure? Bringing together two executives who have navigated profound industry shifts, this conversation explores conviction, adaptation, and the leadership required to stay ahead of change.
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00:00When you're the engine behind how billions of people connect, the choices you make do ripple everywhere.
00:08We also have Arthur Sadun, chairman and CEO of Publicies Group, who has been one of the most outspoken voices
00:16in what AI actually means for communication.
00:20This is going to be a genuinely interesting conversation, all moderated by Will Lee, CEO of AtWeek.
00:28So prepare to welcome these three speakers to the stage.
00:52Fantastic.
00:55Well, shocking that we're going to be talking about AI.
00:58I know.
00:59Surprising.
01:00But we're so lucky to have, I am so privileged to be able to converse with these two absolute legends
01:07and also two people who have more perspective and each of them a very unique point of view on AI
01:15and the business world and the future of marketing, advertising, media, and technology.
01:22Lady Nicola Mendelsohn, thank you.
01:24I believe it's your 13th year.
01:27You have now 13 years at Meta.
01:29Is that right?
01:29It is.
01:30Yesterday was my 13th Metaversary.
01:33So it's kind of a big thing.
01:39And it is, just in case you didn't know, in 2015, Nicola was named a commander of the British Empire,
01:47hence the honorific.
01:48And then Artur, of course, you've been, since 2024, the chairman and CEO of Publicis Group.
01:54You've been there almost 20 years.
01:56Is that right?
01:56Yeah.
01:57As a CEO for 10 years now.
01:58But the real boss is still Maurice Levy that is at the moment with President Macron.
02:03By the way, thank you for being there.
02:05While President Macron is over there, we are very grateful.
02:08No, we really are grateful.
02:09We didn't know.
02:10We promised to give it fun.
02:12Yeah.
02:12And Nicola rightly said that I will still be there in a year.
02:15President Macron won't, but we'll see what happens.
02:19All right.
02:20So let's get it.
02:21And by the way, I should mention, as we're talking about honorifics, Artur, you, 2021, you were named a Chevalier
02:28de LĂ©gion d'Honneur in 2021.
02:30Yeah.
02:31So you both have that in common.
02:34All right.
02:35So I think, Nicola, let's start with you.
02:39You've talked a lot about how AI is central to the value proposition of Meta for your clients in the
02:47marketing and advertising world.
02:48Can you tell me a little bit about exactly what that means when it comes to the outcomes that they're
02:53trying to achieve and then the outcomes that they do achieve?
02:56Okay.
02:56So first off, it is absolutely fantastic to be here with all of you.
03:00And I love getting to do this with you two as well, which is wonderful.
03:04AI, AI, AI, that is very much the topic of today and yesterday and next year and the year before
03:12as well.
03:13But what does it mean from a Meta perspective?
03:15First off, it means it's the reason that so many people, over 3.5 billion people, are coming onto one
03:21of our apps and services every day.
03:23Why?
03:23Because AI can better connect them to the people, the topics, the information, the content that they want to see.
03:29So it means that we've got a very healthy ecosystem when it comes to actually the core product.
03:34From an advertising perspective, we've been investing in a number of years now in our advantaged suite of products.
03:40At the macro level, what it means here in Europe today is that for every euro that you invest into
03:46Meta platforms with advertising,
03:48we're delivering back about 3.79 euro back as a return on ad spend.
03:53So that's the thing that gets me the most excited because my job is basically to make sure that our
03:58agencies, our partners, our clients are actually growing their businesses.
04:03Because if they grow, then we're going to be in a position to grow too.
04:07And I see that the ones that are leaning in heavily to use the AI tools are actually growing significantly
04:12quicker than the ones that are not as well.
04:15And whether that is on the measurement side, whether it's on the targeting side, or whether it's on the creative
04:21side,
04:21we see now that more than 8 million advertisers are using one of our generative AI tools to help them
04:27with their creative diversification,
04:29the language, the adaptations, whatever it may be.
04:31So I'm pretty happy with those stats.
04:34But we can always do better.
04:35We'll keep working harder at it.
04:36So if you're a marketer, and there are a lot of marketers in the room, what is the fundamental behavioral
04:43change that you feel like your tools are inducing in them?
04:48Yeah, so I think it allows you to do things that you could never do before.
04:52One of the things our platform love is creative diversification.
04:56You know, when I was starting out in the industry, both of us, you know, you would probably make one
05:00or two campaigns a year.
05:02You would be exhausted.
05:03You would make a handful of adaptations, and that would be it.
05:07The more personalized, the more targeted the advertising can be today because of AI, the better the return will be,
05:14because that person has that serendipitous moment of discovering something on one of our platforms, and that is the change
05:21that it means.
05:22So what that means for the marketers in the room is that actually you can spend more time thinking about
05:26the bigger challenges,
05:27the strategic issues, where you want to look for growth, and how we can help in that.
05:32All right, so Artur, we wrote about this on Adweek yesterday, and I'm curious about this term, pitch maxing, that
05:43you've coined.
05:46You know, a couple years ago, I remember you were talking about the BS in AI, and you had a
05:52very provocative, and continue to have a very provocative stance.
05:55So tell us about sort of how marketers and why other agencies, they're just over-promising at scale, I think.
06:06Yeah, this is, I mean, sorry for my French, but we have been talking a lot about removing the BS
06:12out of AI.
06:13I think that for many years, and still today in many ways, there are too many people that believe that
06:19AI is a problem and the solution to everything.
06:21I think we have to take that with a bit more of calm and distance, and surely look at the
06:27outcome you can get out of AI, and not only the promises.
06:30And I'm an ad guy at the core, and I've been paid for you to cut words and simplify things.
06:37And so if I want to simplify how we see AI, we consider that what AI allows us to do
06:44is simply to connect big sources of data with other big sources of data.
06:49And by bringing that together, as Nicolas said, it allows us to do new things that we couldn't do before.
06:55And so the right-wing crime that we're having to our industry now is, okay, maybe one day AI will
07:03replace it all.
07:04I don't think so.
07:05I know we're going to come back to that.
07:07But they are very tangible and concrete things that we can start doing now, which is things that we are
07:12doing together that should be at the heart of every marketeers.
07:15And if I say it very simply, it's about understanding your consumer and your prospect better, which where Meta is
07:22a fantastic platform, making sure that you connect your media better, paid, earned, shared, and owned.
07:30Again, coming back to social, what we can do by connecting big sources of data with big sources of data
07:36is understanding at an individual level which follower and influencer someone is following.
07:42And now we can drive that to commerce at scale.
07:45We can do that with AI.
07:47And I'll come back on this content thing because I think that there have been at the same time an
07:53opportunity and a mistake here, which is, yes, with AI we can build more content.
07:58But this is becoming a risk.
08:00Because at the end of the day, the thing is that our client doesn't need that much more content.
08:05They need the right content.
08:06And, again, what AI can do and what we are developing together is to make sure that not only we
08:10do more versioning, but we do things that really matters to people.
08:14And, by the way, they are used to get now.
08:16Okay.
08:16I'm going to let you talk about what you're working on together in a minute.
08:19But I have to ask you.
08:21So, for those of you who haven't seen this video that Publis has just put out a couple days ago,
08:25it's very provocative, very funny, actually.
08:30A lot of interesting claims in there.
08:31But I want to…
08:32Nicola hasn't seen it.
08:33I haven't seen it.
08:34I'm so embarrassed.
08:35You need to read Adweek.
08:36You're going to have…
08:36That's right.
08:37Adweek.com.
08:38No, no.
08:38But, you know, why is it that people are going this far in, you know, making these crazy promises and,
08:48quite frankly, making some, what I would say, are pretty bad business decisions, right, for their agencies, you know, in
08:55the, quote, unquote, service of clients?
08:58I mean, as you know, next week is a Cannes Festival.
09:01So, we are making a stand for our industry.
09:04But if I want to be a bit provocative on this audience, this is not only on our industry.
09:09The tech industries, and by the way, the LLMs, are doing the same.
09:13When you have someone like Sam Altman that goes on stage and say that 90% of the people that
09:20work in marketing will be replaced in five years, this is overpromising.
09:25This is BS.
09:27Yeah.
09:27And by the way, recently, he has to retract.
09:29So, I don't want people in this room to think that only marketing are overpromising.
09:33The ones that are worth trillion today are also overpromising.
09:37Would it be only on their revenue?
09:39Because you're going to see that most of the cases, their revenue come from their own investors.
09:43So, there is a trick around AI where I think we all have to be careful on how we manage
09:48that, how we manage expectation.
09:50And by the way, not only for the financial market, because they're going to take a lot of good money,
09:55and then they're going to lose a lot.
09:56Yeah.
09:56But mainly for our people.
09:57Yeah.
09:58All right.
09:58So, the bit that I would add on to that as well, it assumes that the industry stays the same.
10:04I talked about the industry that I joined over 30 years ago.
10:09It's unimaginable what's happening in an agency today compared to 30 years ago.
10:13We always have a failure to imagine the new jobs that will be created, and we fixate more on the
10:19jobs that you can see will change,
10:20the jobs that you can see will evolve without thinking of the future jobs.
10:23And the latest WEF reports talks about by 2030, there's going to be 78 million new jobs created because of
10:31AI.
10:31And we seem never to hold on to the positive side of things and instead fixate on the negative.
10:38Yeah.
10:38That's right.
10:39So, between the two of you, you sit on, as you were pointing out, Artur, a tremendous amount of data,
10:46right, both of you.
10:47So, I'm curious, how are you working together on really and with the various capabilities that you've both built,
10:55what are the things that you're doing together in partnership to improve outcomes?
11:02I can take that.
11:03So, I think it first starts with the relationships, actually, back to the thing that matters and is most important.
11:08We've got phenomenal relationships across so many parts of both of our organizations.
11:13So, I think that's important because we both understand what the North Star of our businesses are, what matters and
11:20what's important.
11:20And also, we both serve the clients together in terms of knowing that we're both here to help them grow
11:26their business.
11:26So, we work together across so many different things, creative, measurement, AI, the agentic world, commerce, probably more things than
11:35that as well.
11:36And because of that and because of the closeness, you're often the first partner that we have on many things.
11:42We're Sapient, the first partner that we've been talking about on all the agentic work that we've been doing.
11:47We've been talking with you at least two years in that area.
11:50And Publicis, the first that we had a whole API connection with.
11:54So, these are just a couple of kind of the more topical examples.
11:57But it's deep-rooted and we've been doing this a long time together.
12:01No, maybe just on build on that.
12:03And it comes back to the question you were asking before.
12:05We are all the time, particularly in marketing, in an involving world.
12:10So, when we started our relationship like four or five years, five, six years ago now, it was more about
12:16how do we reinvent marketing?
12:18By the way, already at the speed of AI.
12:20Yeah.
12:21Because no one waited for ChatGPT to get onto AI to be trained.
12:24And so, what we have done at this time is more personalization at scale, making sure that we can push
12:29data together to actually create new audiences, measure better everything that Nicola described.
12:35What is new, I would say, for the last 18 months now is everything that has to do with agentic
12:41commerce.
12:41And in some things that I think is very strong at Meta is your ability to put agents into their
12:48platform makes it way more interesting than if you're on a website or on an app, basically.
12:52And so, that's the kind of project we're developing together.
12:54All right, let's talk a little bit about agentic commerce specifically, because this is something that is both tremendously exciting,
13:02but also very, you know, there's just a lot to consider, right, with agentic.
13:09And I'm curious from your individual perspectives, what is it that keeps you up at night about, you know, about
13:16agentic commerce, agentic marketing, and sort of the role of agents in, you know, speed and personalization, all the rest
13:26of it?
13:27I'm happy to take this.
13:29So, actually, I sleep very well at night, and I'm excited about what this offers, because I think for the
13:34first time, we can get back to what marketing has always been trying to do, which is to replicate me
13:40saying to you, I have a nice watch, and I'd like to tell you about it, and it'd be very
13:44deeply personal.
13:45The agents today, we're in the agentic commerce world.
13:48We already have a million businesses out there that have embraced using Meta business agents.
13:55And I think one of the things that's different about our platforms versus others is that agents are going to
14:01exist everywhere, but most people don't go to all the apps every day with a high frequency.
14:06They do come on WhatsApp.
14:09They do come on Messenger.
14:10They do come on Instagram direct.
14:12And we're offering up the opportunity for brands to talk directly with agents into the customer within those apps themselves.
14:19So, what does that look like?
14:21It looks like if you are a, and this is an unusual example, a Brazilian car rental company called Mavida.
14:29They've been on WhatsApp for a very long time.
14:32So much of commerce in Latin America already happens on WhatsApp.
14:35There's a billion messages going every day between people and businesses.
14:39But now it's agentic.
14:41So, what's the difference?
14:42It understands the brand.
14:43It can speak of the brand voice.
14:45It has full access to the full product catalog.
14:47And I was just showing somebody backstage just then that you can go in and go, I'm coming to Brazil,
14:52to Rio Airport.
14:54Here's my date.
14:55Here's my budget.
14:56What sort of cars have you got?
14:57It shows me straight away what it is.
14:59Tells me where, you know, I can choose the car, where to pick it up, where to deliver it.
15:03All in one place.
15:04Imagine that now for every business, every company.
15:07And so, I think it offers up, the things I worry about is the consumer is there.
15:12They want this.
15:13From a marketing perspective, how are we thinking about those new aspects of what a brand sounds like, how it
15:19engages with people on a much more emotional level?
15:22These are some big problems you guys need to get on, which I know you are doing in terms of
15:27working on.
15:27But, yeah, I'm sleeping well because I think it's exciting and gets back to the heart of what people really
15:32want to look for.
15:33Well, can I ask you that question then just because you brought it up?
15:37What is the promise and the premise of a brand when you do have essentially interface with a machine, right?
15:46Like that, I think, you know, this gets kind of to the core of a lot of the creative work,
15:52right?
15:52And we'll talk about creativity in a minute.
15:53But I'm curious sort of how you both look at what the face of a brand really is in an
16:02agentic world.
16:03If you don't mind, I just want to come back on the agentic commerce one second and then I'll answer
16:07more.
16:07Of course.
16:09The way we look at it now is that if you want to be successful in agentic commerce, you need
16:13three things.
16:14You need the data because agent is as good as the data you train on them.
16:19And the problem you have is that if you just have generic data, by definition, you're not going to sell
16:23more.
16:24And so spending time understanding the data and making sure that you co-create sets of data that are really
16:30specific and competitive make all the difference on your agent.
16:33Then you need the context.
16:35And this is what we discuss.
16:36If you are not on the right platform and those guys are doing a tremendous job on that, there is
16:41absolutely no way you're going to sell more than competition.
16:43And then there is the people.
16:46Because what we underestimate is that it's still a marketing job that we need some creative idea to make sure
16:52that whatever you want to sell it at a premium price could be sold.
16:56And this is where the kind of traditional role of marketing still apply.
17:00Leading to content, the biggest question we've got now is that basically three years from now, we're going to spend
17:0850% of our creative minds thinking about how do we sell content to humans and the other 50%
17:15to machines.
17:16And the content that works for machines is very different than the content that works for humans.
17:21I can have a fantastic post that will have millions of views that will be great for humans, but will
17:28have zero impact for the machine, while a 40-minute document seen by 5,000 people will have more impact.
17:35And so it will oblige us again to review the way we work.
17:39But the role I just gave you about agentic commerce applies also to that.
17:45It's about the data, it's about the context, and it's about the people.
17:48So just getting back to the brand, Nicola, in your case, how would you coach potential brand partners in how
17:59they have that surface, obviously, but then other ways to imprint a brand's promise for the consumer?
18:08So I'm going to violently agree with my friend here, which is you've got to have the data layers sorted
18:13first.
18:14You've got to be making sure that your catalogs are being kept.
18:17There's some real basic fundamentals that need to happen.
18:20We're not there yet with so many that the catalogs need to be kept up to date.
18:24And I thought your point around the fact that you won't in the future be just marketing to people.
18:28You'll be marketing to agents as well.
18:31And agents, we're already seeing agents starting to talk to agents as well, which is really exciting.
18:35So I think we need to be very clear about what we're delivering to the different audiences in order that
18:41you can realize the promise.
18:43And then, because you asked about what is a brand in this world, so many things.
18:48The brand is the entity that you trust, that you establish a relationship.
18:52You'll be on WhatsApp.
18:53It will know that I like yellow clothes.
18:55It might know that I then want to buy the shoes to match.
18:59We'll have the permission to start going and retargeting and continuing the conversation.
19:03Today, it's pretty much text and some imagery.
19:08It will evolve.
19:09It will become much richer dialogue as it goes forward.
19:12But the thing is, you've got to start testing.
19:14You've got to start learning.
19:15Because otherwise, your competitors are going to be leapfrogging you.
19:19So the real answer to your question is just start.
19:21Just start, because that's probably the most important thing you can do.
19:25All right.
19:25So let's shift the focus for a little bit on to humans.
19:31Good.
19:31And, yeah, and I'm curious.
19:33There is a lot of young people here, so let's make sure.
19:36Exactly.
19:36So I have a couple threads here.
19:39One is when it comes to our tour, you've talked a lot about investing in humans and have, you know,
19:46been very vocal about that.
19:48While a lot of the other holding companies have let a lot of people go, right?
19:52And it's had a lot of impact on a lot of livelihoods.
19:55In your mind, what is the bet on human talent, on better talent now into, let's just say, over the
20:05next 24 to 36 months?
20:07I'm not even talking about the next 10 years.
20:08Because who knows?
20:09Next two to three years, how does Publicis look at talent development?
20:14And I ask you the same question, Nicolas.
20:16I mean, we are turning 100 years this year with only three CEOs, by the way.
20:21And we have always considered that our people is our most important asset through the time.
20:26And it doesn't change today.
20:27I'm not going to come back on what we do because, yes, we have a very different approach from our
20:31competitors, which is we continue to massively invest in talent where they are laying off a lot.
20:37There is also a difference between us and competition is that we are growing massively when they are declining.
20:42By the way, I hate this idea that people will use AI to justify layoff.
20:48People are laying off people because they don't perform, not because they've got an AI issue.
20:52I will leave the tech out of that because in the tech world, it's a big difference.
20:55But in my business, which is a service business, you're going to need people.
21:00What I think is very important for this audience, if I may, is that you see that the successful company,
21:06like a Meta, like an Anthropic, have understood something that is very important.
21:11Is that technology is only 50% of the success.
21:14Service is the other half.
21:16And whatever you do, if you're not able to bring human relation, human emotion, human taste, if you're not able
21:23to take by the end companies to help them transform, whatever technology you have, you're not going to be successful
21:30on the long run.
21:30And so what makes me pretty optimistic about the future and the reason why we are doubling down on technology
21:37by big acquisition at the moment, but also on hiring people with the risk that the market doesn't like it,
21:44but we think this is right for the long term, is that this is this balance between technology and human
21:49power that will make, in my opinion, every kind of company successful in the future.
21:55Nicola, you?
21:56I mean, yes, I agree.
21:58I think there is some differences with tech companies, but on the whole, people matter.
22:02People are the ones that are dreaming big, that are the strategists, the storytellers.
22:07And so what we're looking for is those people, but those people that are also embracing AI in order that
22:12they can get rid of the kind of the stuff that kept them busy and really focus them on the
22:16core time that they want to be spending on their jobs, doing the things that matter.
22:21So it's a pretty similar answer.
22:22I don't think it matters if you're in service business or in a technology business.
22:26People matter.
22:27So I'm looking out, walking the floor, definitely a lot of people in their 20s here.
22:32What would you tell them about the things that they need to develop, the skills that they need to develop
22:38now to be responsive to the very near AI-driven future?
22:45I can go.
22:46I mean, I have four children that are in their 20s, so this is a very live conversation in our
22:51house.
22:51We have a WhatsApp group for the family on all AI tips and tricks.
22:55And I do love the fact that I work in a tech company, so I can often get one over
22:59them that they perhaps wouldn't have known or thought about.
23:01I was ahead of them on Second Brain, so I was quite pleased about that.
23:04But I think at the heart, what I see with my kids is fearlessness.
23:08You know, you've just got to jump in.
23:10You've got to try things.
23:11You've got to be curious.
23:12You've got to have a learning mindset.
23:13I think you've also got to be quite resilient as well.
23:16Because as Artur was saying, you know, the world is changing.
23:19Not just this industry, but all industries are changing pretty fast at the moment.
23:23And so you've got to feel comfortable being able to be agile in change and not always having all the
23:30full information in terms of making, you know, the decisions that you want to make.
23:34But as long as you keep moving forward with that kind of those values, then I think you'll stand yourself
23:39in good stead.
23:41I mean, I would agree with everything you said to start with.
23:44You have to be bold.
23:45You have to be disruptive.
23:46You have to take some risk.
23:47You have to be resilient.
23:49You have to be open.
23:50Maybe when it comes to AI, I will add a couple of points.
23:52But first, don't get married with anyone at the moment.
23:57Because we don't know who's going to win.
23:59I think it's still very open.
24:01And I think we're going to see in AI what we have seen in the web is that there will
24:06be some big winners, but there will also be some small winners.
24:09And that could be interesting.
24:11So I will stay with a very open mind about what is the best company for you in the future.
24:16That's the first thing I would do.
24:17The second, and maybe I'm a bit obsessed by that, but I would understand data.
24:22Because it's going to be the foundation of AI, whatever happens.
24:25And then I would become a practitioner.
24:28I will still focus on what can I learn and what can I deliver that is specific to me that
24:34will give me an added value.
24:35And then I would try to do it.
24:37For the advice, at least, I'm giving to the youth is always follow someone you want to work with in
24:43a company that have a journey that you feel passionate about.
24:46But the rest will come alone.
24:48Yeah.
24:48Be fearless.
24:49Be resilient.
24:50Learn about data.
24:51Be a practitioner.
24:52Don't get married to anybody.
24:53I was wondering where you were going because we were talking about 20-somethings.
24:56And you were like, don't get married.
24:57No, no, no, do get married.
24:58I quite like going to a nice wedding, actually.
25:02All right, let's spend a couple of minutes, and then we'll have to, unfortunately, wrap up.
25:07But I want to talk a little bit about leadership through turbulence.
25:10And Artur, in April, you reported 20 consecutive quarters of growth.
25:17Congratulations.
25:18You should have smiled.
25:19It's nothing compared to those guys.
25:21It's tiny growth.
25:21Look at my market cap.
25:23I'm ridiculous.
25:24I'm just a tiny little thing.
25:26I would like to celebrate you because that's an unbelievable.
25:28There are many CEOs out there that would like 20 consecutive quarters.
25:32Maurice is always telling me what we want to do next.
25:35So, yes.
25:36So is Mark.
25:38And I would say if you look back across those five years, at the start of that streak, I'm not
25:43sure anybody would have said that was remotely inevitable.
25:46And I'm curious from your standpoint, like back then, if you think about your leadership back then, what was it
25:52that you knew that the market didn't?
25:56But also, what is it that you, like, how did you manage through that, through the difficult times?
26:02And what were the key things that helped you?
26:05It has been a very tough journey.
26:07When I took over, we were at 12 billion market cap.
26:11We made big strategic bets.
26:12We went to six and four during COVID.
26:15So we went back to 27.
26:16But I can tell you that when we were at six, I can give you some ad-week articles that
26:20were talking about us.
26:21It was ugly.
26:23I think that we did several things.
26:25First, we did not listen at all to the financial community.
26:30Zero.
26:31Every advice that was coming from investors was the wrong thing to do.
26:35The only thing they wanted us to do is share buyback, which our competition did.
26:38We invested.
26:39The second is we were not reading the press because the press was terrible about us.
26:44And so you feel bad.
26:46Third, and very importantly, we didn't hire any consultants.
26:49We did it on ourselves.
26:50And what we did is to listen to clients.
26:53And I think this is true for any industry.
26:55We made all of our transformation based on what our clients want.
26:59And by the way, just to close on that, although our stock went like this, we didn't lose one client
27:04and we'd be number one in new business over all the period.
27:07Nicolette, so you have to lead global business for a company that is in the news a lot.
27:12There's a lot of different stories every day.
27:15How do you manage external and internal stakeholders through that turbulence?
27:21Again, there's quite a lot of similarities.
27:24And I think both companies always play to the long term, not just in the very short term, in terms
27:30of how we think about things.
27:31So, yes, the noise comes and goes.
27:33I stay focused on the work that matters.
27:35I stay focused on our partners.
27:36I stay focused on our clients.
27:37And I also make sure I'm visible to our teams as well.
27:41I might not always have the right, you know, the full answer, especially at the speed of which we move
27:45as a company.
27:46But I'll get up there.
27:47I'm not afraid to be vulnerable.
27:48I'm not afraid to answer hard questions or address hard topics.
27:52And also focusing the teams to make sure that we focus on the things that we can control rather than
27:58the things external, et cetera, that we can't control.
28:00And I think that builds resilience.
28:02I think also having a very clear North Star of where you want to get to makes a difference as
28:07well.
28:07Because people understand what they're driving towards, which might not be apparent externally in the here and now, but certainly
28:14is over the months and years ahead.
28:18All right.
28:18We're going to end on a slightly personal note.
28:20And for those of you who know Arturas and Nicola's stories, personal stories, you'll know that they are both cancer
28:26survivors and quite recently so.
28:28So I'd like both of you to reflect briefly as we wrap up on what that journey has taught you
28:37about leading and leading through it.
28:41Okay.
28:42I'll go first.
28:43The best.
28:44This year is my 10th anniversary of being diagnosed.
28:48And so it has taught me, I was always a grateful person, but it has taught me to be unbelievably
28:54grateful for every single day I have.
28:57And also to make sure that we both are on planes the whole time.
29:01I admire so much of what he does in terms of his personal life to wellness and health.
29:05I'm not as good as him, but I do something, I think, different to him, which is whenever I go
29:10to a place, I just take a few minutes out of my crazy schedule.
29:14Like I'm in Paris, I'm going to have a walk and I'm going to see the Eiffel Tower because how
29:18lucky I am that I can do that.
29:20So gratitude is probably at the heart of everything I do.
29:23And if you'd have told me 10 years ago that I would be a grandma today, I am a grandma
29:30of a one-year-old.
29:30And that gives me more joy than anything.
29:33That's amazing.
29:33This is why I want her to talk.
29:34She's way better to me to talk about that.
29:36You express it so well.
29:37I won't add anything else more than enjoy life.
29:40This is the best thing we've got.
29:41We'll survive this AI.
29:43I think there is a great future for humanity if we do the right thing.
29:46So have a good vivatech.
29:47Merci beaucoup.
29:47Thank you very much for your inspiration.
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