Speaker 1: We're going to start the recording in just a second.
Speaker 1: But we're so happy to be here. It's exciting.
Speaker 2: It's very exciting to be here in our first ever
Speaker 2: Bloomberg house, this beautiful space in the city. I think
Speaker 2: it's in the chalet. I think, isn't it the is
Speaker 2: I think what we should be calling. But it does
Speaker 2: feel like the whole world is sort of ascending here, economics, business, finance,
Speaker 2: but most of all tech.
Speaker 3: Right.
Speaker 2: I took a walk down the promenade there and it
Speaker 2: is a little bit like sort of AI trade fair. Right,
Speaker 2: every single shot front is trumpeting something about AI. So
Speaker 2: something we're going to get into a bit of a conversation.
Speaker 1: Right, So we're starting Welcome to in the City, Everyone,
Speaker 1: Bloomberg's podcast, connecting you to the conversations and the stories
Speaker 1: and shaping the world of finance.
Speaker 2: And Franci Laqua and I am David Merritt. And this
Speaker 2: week we are in the mountains of Switzerland in Davos
Speaker 2: as global leaders and quite a few journalists descends on
Speaker 2: this outpoint village for the World Economic Forums annual meeting,
Speaker 2: and we're going to be looking at the challenges facing
Speaker 2: the world, of which there are many in twenty twenty
Speaker 2: four and talk a little bit about how prepared we
Speaker 2: are to face them.
Speaker 1: Yeah, so with us, and we are really delighted and honored.
Speaker 1: Saja Sahidi from the World Economic Forum, a Zimazark, creator
Speaker 1: of the Exponential View of Global platform for in depth
Speaker 1: tech analysis, and the host of Bloomberg original series Exponentially,
Speaker 1: So thank you both for joining us. Sajia, you actually
Speaker 1: published a report looking through the global risks, the top
Speaker 1: global risks in the next twelve months and then longer term.
Speaker 1: Can you run us through your top risks?
Speaker 4: Yeah? Sure, Well, thank you for having me number one
Speaker 4: miss and disinformation and to some extent, we were surprised
Speaker 4: this was down at number sixteen last year and it
Speaker 4: shot up to becoming the number one risk so quickly,
Speaker 4: and of course understandable because we've all seen low cost
Speaker 4: or zero cost technologies in our hands that can produce
Speaker 4: a lot of synthetic content. So a lot of concern
Speaker 4: around that, especially in a year where so many people
Speaker 4: around the world are going into elections following on right
Speaker 4: from that extreme weather, beyond that, societal polarization and obviously
Speaker 4: that is deeply connected to what's happening with miss and disinformation,
Speaker 4: but the economic risks are not that far behind. There's
Speaker 4: still concern about inflation, there's still concern about the potential
Speaker 4: of an economic downturn. That's still number nine in the
Speaker 4: two year timeframe, So looking out over the next twenty
Speaker 4: four months, quite a bit of concern about that. And
Speaker 4: then you look ten years out and it's really all
Speaker 4: about climate, so extreme weather, potential changes to the Earth's systems,
Speaker 4: loss of biodiversity, and a lot of concern around loss
Speaker 4: of natural resources. And again they're miss and disinformation. And
Speaker 4: what rises really to the top is other adverse effects
Speaker 4: of artificial intelligence. That's very low down in the two
Speaker 4: year timeframe, number twenty nine out of thirty four and
Speaker 4: then jumps up into the top ten in the ten
Speaker 4: year timeframe.
Speaker 1: And as in, can we even tell when it's fake
Speaker 1: news or fake information and the real one? Given how
Speaker 1: good some of the AI stuff is right now.
Speaker 5: Oh, I think one of the reasons why it's jumped
Speaker 5: up so much is that this past year is in
Speaker 5: the year of generative AI, and it's getting better and better.
Speaker 5: Although and there is an important although it's one thing
Speaker 5: for it to be created it's another thing for it
Speaker 5: to be distributed, and it's another thing for people to
Speaker 5: read it, and it's another thing for people to believe
Speaker 5: in it. And I do agree with the experts who
Speaker 5: contributed to the Forum's Risk Report that misinformation and disinformation
Speaker 5: should be really high off our agenda this year. But
Speaker 5: I think it's also important to recognize that the academics
Speaker 5: are still to pronounce as to whether these things really
Speaker 5: are real, and a lot of the worries we had
Speaker 5: around in misinformation disinformation stemming from as early as twenty
Speaker 5: sixteen seem to have mixed evidence as to whether that's really.
Speaker 6: The path.
Speaker 5: And I think one of the risks that we run
Speaker 5: is not that we don't face a more challenging environment
Speaker 5: as it pertains to truth and fact. It's that the
Speaker 5: AI component is only one part of it. There are
Speaker 5: other aspects in this ecosystem that are weak politicians willing to.
Speaker 6: Exploit these types of stories.
Speaker 5: There are the distribution patterns that occur over social network.
Speaker 5: There's the capacities of media organizations to verify and validate
Speaker 5: this stuff, or even sometimes, as we've seen in the
Speaker 5: last few months, spread the misinformation themselves. So when we
Speaker 5: look at this problem. If we cry wolf and simply
Speaker 5: point towards AI as a source of mis and disinformation,
Speaker 5: will issue the wrong prescription.
Speaker 2: You know, in the podcast we had last week with
Speaker 2: Ian Bremer for the Eurasia, we were talking about their
Speaker 2: risks as well, and he said something which struck in
Speaker 2: my mind. Their top risk, by the way, was the
Speaker 2: United States versus itself thinking about the election and the
Speaker 2: potential outcomes. But he said, in the last twenty years,
Speaker 2: the United States has gone from being the chief export
Speaker 2: of democracy in the world the chief exporter of tools
Speaker 2: to undermine democracy. And he's talking obviously about social media
Speaker 2: and the growth of that is the way that people
Speaker 2: consume their news. Do you agree with that, a z
Speaker 2: eem And does that answer the question of why this
Speaker 2: particular concern is shot right up to the top again.
Speaker 5: Well, the US has exported tools like that, but the
Speaker 5: US also has companies like Google and Microsoft and Meta
Speaker 5: who have election integrity teams who are working on sharing
Speaker 5: with their their private competitors, but also with the public
Speaker 5: sector tools and technologies for video stamping and authentication and watermarking,
Speaker 5: and they have incident responses as well. So I think
Speaker 5: there is an important part of this picture, which is
Speaker 5: is that sufficient though I mean, well, I mean, you know,
Speaker 5: I think that the trouble is that you see the
Speaker 5: fire and then the fire and arrive. But I think
Speaker 5: we can say that when it came to extreme content
Speaker 5: on YouTube, YouTube or alphabet was able ultimately to do
Speaker 5: a great job in in tackling it. And I think
Speaker 5: that it's really telling that a number of the large
Speaker 5: technology platform firms have already announced that they have election
Speaker 5: integrity strategies in place, ahead of actually what I've heard
Speaker 5: from Nation States themselves saying. And so I think, yes,
Speaker 5: of course technology is a problem, but it can also
Speaker 5: be part of the solution.
Speaker 6: Zadia.
Speaker 4: I mean just one other point that I think it's
Speaker 4: also about how people are receiving that information. It's about
Speaker 4: media literacy as well. And we also went a little
Speaker 4: deeper into different countries and in the US, miss and
Speaker 4: disinformation doesn't show up as a number one risk despite
Speaker 4: being in that election year. In India and in Pakistan
Speaker 4: also having elections this year, it's among the top five risks.
Speaker 4: So it's also a little bit about what citizens are
Speaker 4: able to consume, how much media and digital literacy they have,
Speaker 4: and so it pops up much higher in certain parts
Speaker 4: of the world.
Speaker 1: But when you look at, for example, the US election,
Speaker 1: I guess the concern is meddling right from other countries
Speaker 1: and people are worried because this could spread. I mean, again,
Speaker 1: in your research, can you give us a little bit
Speaker 1: of a worst case scenario.
Speaker 4: On the US based risk? Almost all were economic, and
Speaker 4: that seems to be top of mind. But I think
Speaker 4: there's a connection between those two things. Where you have
Speaker 4: economic hardship, where you also have societal polarization. Those two
Speaker 4: things together provide pertile ground for disinformation, for misinformation, whether
Speaker 4: that is state sponsored or whether that's spread through other sources.
Speaker 1: I mean, the problem, Dave, is that I look at
Speaker 1: so I'm on social media a lot, probably too much,
Speaker 1: and a lot of the things I watch I don't
Speaker 1: really I mean, I know because I work at Bloomberg
Speaker 1: that it's fake information, but I don't see the watermarks. Frankly,
Speaker 1: I don't see like in the stuff I consume. You
Speaker 1: don't know how news works.
Speaker 2: Well, I'm saying more now is people saying images of
Speaker 2: things and instantly saying, well, that's just a I or
Speaker 2: that's generally that's fake. There's a kind of there's a
Speaker 2: skepticism now led on everything and news reporting, journalism that
Speaker 2: wasn't there, particularly things like images, which in the past
Speaker 2: people would trust, and now that trust is really eroding.
Speaker 5: Well, I mean the Pope wasn't worrying about.
Speaker 6: Right, Puffer, we sure about this?
Speaker 5: I mean, you're no, franc I would say if anyone.
Speaker 5: But I think that that that takes us to a
Speaker 5: really really important risk, which is that by by flooding
Speaker 5: the phrase was flooding the zone, right, With flooding the
Speaker 5: zone with material that might or might not be believable,
Speaker 5: or might or might not be true, what you end
Speaker 5: up doing is weakening the trust in the few institutions
Speaker 5: that are are arbiters of that factuality. Now, I think
Speaker 5: Bloomberg and some of the other media businesses generally do
Speaker 5: quite a good job, but the ops now a nice
Speaker 5: cookie earlier on. But the onus is going to be
Speaker 5: on you and your peers as well to increase your
Speaker 5: capabilities of identifying what these issues are, raising the level
Speaker 5: of factuality across this information ecosystem, because if we start
Speaker 5: to distrust the likes of the story newspapers, because they
Speaker 5: do make mistakes from time to time, and because the
Speaker 5: zone is full of synthetic material, I think we then
Speaker 5: do make ourselves susceptible in the way that some of
Speaker 5: the populations that Salia alluded to are more susceptible to misinformation.
Speaker 3: Is it because it's such a big political year this
Speaker 3: as well?
Speaker 2: Like people, I mean, everyone's talked about this, the Great
Speaker 2: Democratic Exercises, there's twenty twenty four, huge amounts of the
Speaker 2: world are going to the polls. Is that why this
Speaker 2: is such a hot topic right now?
Speaker 4: I think that's certainly some of what we've picked up
Speaker 4: from the experts that the fifteen hundred or so experts
Speaker 4: that fed into this, as to the reason why this
Speaker 4: raise up to the top. But I think the longer
Speaker 4: term sort of erosion in trust in truth and objectivity
Speaker 4: in facts, I think they're it goes beyond that particular
Speaker 4: election year. It can affect everything from you know, health
Speaker 4: and I think we've seen that through the pandemic. It
Speaker 4: can affect what we believe in terms of social justice,
Speaker 4: It can affect what people believe on so many different topics.
Speaker 4: So I think it affects more. And of course climate
Speaker 4: change is another big one where there needs to be
Speaker 4: some agreement around science and objectivity in facts.
Speaker 1: AI is everything from I guess if you're you know,
Speaker 1: googling something like color matching, if you need to get
Speaker 1: a foundation, to people saying actually, you don't put the
Speaker 1: human you know, in the middle of this technology anymore.
Speaker 1: And so we could literally end up like Terminator two
Speaker 1: or three or I don't know how many terminators they did,
Speaker 1: like where are you? And how ugly AI could become
Speaker 1: for humankind.
Speaker 5: Well, I think we do that partly because it's more
Speaker 5: interesting to have lurid conversations like that than to talk
Speaker 5: about questions like workforce transformation. As we start to automate
Speaker 5: certain business processes. I mean one is it feels offices
Speaker 5: and you know the other films consulting firms, So we
Speaker 5: need have to to pick you pick your stories. But
Speaker 5: I think one of the things that's happened with with
Speaker 5: AI is that, compared to other technologies that I've tracked
Speaker 5: from the Internet and beyond, there is very very strong
Speaker 5: osterroots adoption of AI tools like chat, GPT in organizations,
Speaker 5: even if there isn't an official policy, and increasingly the
Speaker 5: CEO is the one who's racking the cage saying what
Speaker 5: are we doing with the generative AI? And that wasn't
Speaker 5: the case with the Internet, and it wasn't the case
Speaker 5: with mobile or cloud computing. And I think that creates
Speaker 5: the conditions for a perfect storm in the next year
Speaker 5: or two for firms to really build lots of AI
Speaker 5: tools because their frontline employees want them and the bosses
Speaker 5: at the top want them, and that that will compress
Speaker 5: the amount of time it will take for these these
Speaker 5: things to become quotidian within large firms.
Speaker 3: And then of course with us as customers of those businesses.
Speaker 1: But do we do we have for Axlvis a number
Speaker 1: of how many jobs will be lost? I was speaking
Speaker 1: to the Norwegian Sovereign Wealth fun head, the biggest sovereign
Speaker 1: wealth in the world, and he was saying, you know what,
Speaker 1: You're going to be twenty percent more productive when you
Speaker 1: use AI. I was like, twenty percent, But then you
Speaker 1: don't really know the timeframe. Again, are we over optimistic
Speaker 1: about how fast the transformation happens?
Speaker 4: Yeah, so I think the pictures of it mixed. Overall,
Speaker 4: what we found is that roughly a quarter of all
Speaker 4: jobs could go through some kind of structural churn, both
Speaker 4: increasing and decreasing over time in the next five years.
Speaker 4: So we did this last year up to twenty twenty seven.
Speaker 4: The second thing we did, though, is try to go
Speaker 4: deeper into where are llms actually most likely to be
Speaker 4: impacting different roles. And there's a set of roles that
Speaker 4: will be displaced because so much of the tasks within
Speaker 4: those roles are essentially repetitive language based tasks, and so
Speaker 4: they can be displaced. There are roles which will be automated,
Speaker 4: and that's the big firms, where there will be product
Speaker 4: increase in productctivity and increase in efficiency because we will
Speaker 4: all be able to, you know, find that twenty percent
Speaker 4: extra time and space because we'll be using some of
Speaker 4: those tools. And then there are roles that will remain
Speaker 4: untouched because they're going to be very much about physical
Speaker 4: activity and labor, whether that's in retail or in care.
Speaker 4: Maybe they will become more efficient because planning tools will
Speaker 4: be better, but the core of the role is going
Speaker 4: to remain fairly untouched. So we sort of ran through that,
Speaker 4: and I don't think that we can conclusively say how
Speaker 4: many roles that's going to be impacting, but what is
Speaker 4: clear is that given the nature of these types of roles,
Speaker 4: there's going to be a win for a lot of
Speaker 4: developed economies, and it's going to be more disruptive in
Speaker 4: developing economies. Again, it depends on what type of task
Speaker 4: and role somebody is doing.
Speaker 2: I mean, as I was saying, when you walk around
Speaker 2: with the you know, the AI badging in all the companies,
Speaker 2: I mean, does this feel like and you're a veteran
Speaker 2: of Davos as em and YouTube fancy, does this feel
Speaker 2: like the AI DeVos where this is.
Speaker 3: Going to be totally dominant this conversation.
Speaker 5: Well, I think the Davos represents the forces that are
Speaker 5: shaping the world in some way. And of course we
Speaker 5: are in a world where it's the technology companies that
Speaker 5: are the commercial businesses that drive things in the way
Speaker 5: that thirty years ago it was the oil businesses. So
Speaker 5: I think it's not surprising that you see quite a
Speaker 5: lot of AI companies. You know, there are a lot
Speaker 5: of prime ministers here, and we know that society has
Speaker 5: woken up to the fact that technology is not just
Speaker 5: about productivity and efficiency. It's also about the impact it
Speaker 5: has on people's lives as citizens, their sense of belonging,
Speaker 5: their sense of worth and actually how well they feel
Speaker 5: they're doing. So I'm actually pleased that the AI discussion
Speaker 5: is not one that's restricted to boardrooms but is also
Speaker 5: taking place in cabinet rooms as well.
Speaker 2: Just thinking about, you know, the image that Davos has
Speaker 2: as a convening around the world. It is about the elite,
Speaker 2: isn't it? And over the years, questions are asked about
Speaker 2: Davos man or woman and the relevance to the real world.
Speaker 2: And on this question AI, if it really is going
Speaker 2: to cut fifteen percent or twenty percent of jobs that
Speaker 2: has a huge impact on the average person who works
Speaker 2: for an organization. Is this debate, is this discussion of
Speaker 2: the elite talking to themselves about these efficiencies?
Speaker 3: Is it going to be?
Speaker 2: Is that just going to drive home that stereotype of
Speaker 2: this bubble up here in.
Speaker 5: I mean, I would love to, but my impression is
Speaker 5: that I just was one sentence that it isn't I
Speaker 5: rarely in the last year or two have had conversations.
Speaker 5: There's one exception when I was in a room full
Speaker 5: of CFOs where the only chief financial officer is the
Speaker 5: only thing we talked about they talked about was efficiencies.
Speaker 5: But in every other conversation that I've had, whether it's
Speaker 5: policymakers or business leaders, they're really really aware of questions
Speaker 5: like reskilling and displacement.
Speaker 3: But you have a much better picture.
Speaker 6: I'm Davis community glad you said that.
Speaker 4: I think there's really a positive trajectory here because I
Speaker 4: think we all recall twenty fifteen, twenty sixteen Rise of
Speaker 4: the Robots. Everyone's talking about how the integration of robots
Speaker 4: into manufacturing could be so disruptive to workers that are
Speaker 4: in factories, and I think we've seen that the reality
Speaker 4: play out there where yes, there has been integration of
Speaker 4: a lot of that technology, but there also hasn't quite
Speaker 4: been in the same way that people thought it would
Speaker 4: be disruptive.
Speaker 6: Now, because of.
Speaker 4: Some of that conversation, we kicked off in twenty twenty,
Speaker 4: this ten year initiative on the Reskilling Revolution with a
Speaker 4: number of the ministers, the companies that are really in
Speaker 4: a position to actually provide some of that reskilling and upskilling,
Speaker 4: and that kicked off a movement where we said we'll
Speaker 4: get there in ten years, reach a billion people, and
Speaker 4: we're going to be announcing this week that we're crossing
Speaker 4: the six hundred million mark with that effort so across
Speaker 4: thirty economies, across I think one hundred and fifty different companies,
Speaker 4: so a lot happening there. And now, of course this
Speaker 4: year the conversation is going to be how do we
Speaker 4: orient that that specifically to the jobs that are going
Speaker 4: to be disrupted because of artificial intelligence, and how do
Speaker 4: we take some of that reskilling towards the new roles
Speaker 4: that will be created because of AI.
Speaker 2: Can I pivot a little bit to some of the
Speaker 2: geopolitics you mentioned There are a lot of prime ministers
Speaker 2: and wildly, I mean it struck me seeing the presence
Speaker 2: of the Ukrainian delegation here and you know, this forum
Speaker 2: making headlines over the weekend and an attempt to put
Speaker 2: forward a proposal potentially for peace. I mean, that's a
Speaker 2: you know, one of the biggest geopolitical problems basing the world,
Speaker 2: and the Ukrainian President will be here this week making
Speaker 2: an address. What role can this convening make in solving
Speaker 2: auguably one of the most attractable problems in the world
Speaker 2: at the moment.
Speaker 4: So do for us? I mean, we look at the
Speaker 4: theme of this meeting, rebuilding trust. It is a particularly
Speaker 4: polarizing moment. We believe that people have to talk to
Speaker 4: each other, and so a big part of what this
Speaker 4: meeting is about bring together people from across the world.
Speaker 4: We have over one hundred countries represented, nearly sixty heads
Speaker 4: of state, two hundred plus ministers across various portfolios, sixteen
Speaker 4: hundred businesses. There's a reason I think that everybody's coming
Speaker 4: together because they have the same sense that we need
Speaker 4: to have that conversation. I think a second element is
Speaker 4: there has to be alignment around some of the things
Speaker 4: that need to be done. And certainly on the geopolitical side,
Speaker 4: there will be quite a few private meetings, including the
Speaker 4: meeting that was hosted by the Swiss and the Ukrainian
Speaker 4: governments here in Dabos, but on a number of these
Speaker 4: other topics, So what we just discussed AI and reskilling,
Speaker 4: there has to be an actual alignment around Okay, what next,
Speaker 4: what's the next two years sort of plan? Where is
Speaker 4: it that the focus areas should be. And then the
Speaker 4: third element is I think for any of that trust
Speaker 4: to be rebuilt, there has to be a focus on action.
Speaker 4: There has to be delivery, there has to be accountability,
Speaker 4: and there has to be transparency and that is where
Speaker 4: actually reporting out on the proposals that were made last year.
Speaker 4: How did that go? How have we delivered against that?
Speaker 4: I think that's key.
Speaker 1: I guess when we were talking about trust and the
Speaker 1: fact that you know the need to talk to each other.
Speaker 1: Is AI an enabler of people coming together or is
Speaker 1: it not?
Speaker 5: I think it is an enabler. And we all have
Speaker 5: had this experience because if you've ever used Google Translate,
Speaker 5: that is AI. Because it's become so commonplace, we don't
Speaker 5: think of it as AI. But when machine translation, the
Speaker 5: idea that I can communicate to someone who is in
Speaker 5: Thailand and doesn't speak much English and I don't certainly
Speaker 5: speak no taie is remarkable. And so we've already seen
Speaker 5: we've already benefited from the dividend of AI in that
Speaker 5: in that way, now we have a new set of tools,
Speaker 5: and I think there's this sort of ironic workworld where
Speaker 5: we can all produce perfect email sales pitches because we've
Speaker 5: all used chat GPT, But at the same time, none
Speaker 5: of them are being read by humans because they're being
Speaker 5: read by my chat GPT enabled email clients. And you
Speaker 5: know that all the beauty is all the beauty is lost.
Speaker 5: I do think that you know, people do remain social creatures.
Speaker 3: They come to Davols.
Speaker 5: It's not the easiest place to come to, it's cold
Speaker 5: for most of us, and they come because there are
Speaker 5: things you can do when you're with other people. And
Speaker 5: AI has the capability to allow us to do that,
Speaker 5: to create the space to spend time.
Speaker 6: To do that.
Speaker 5: It could also be used to create solipsistic digital virtual
Speaker 5: worlds where we just you know, sit in our headsets
Speaker 5: and never meet another human And in that in some
Speaker 5: sense that's our that's our choice. But I think, you know,
Speaker 5: in absence of other sort of strange things happening, it
Speaker 5: should create the space and also the motivation to sit
Speaker 5: down and work with people, to get face to face.
Speaker 1: How long does it take to understand what we want
Speaker 1: AI to be, how we'll use it.
Speaker 4: I think much of what we've been discussing is sort
Speaker 4: of you know, where most of us work in the
Speaker 4: sort of knowledge economy that we're in. But I think
Speaker 4: we shouldn't forget there's massive potential, for example, for a
Speaker 4: drug discovery, you know, in just in purely the field
Speaker 4: of medicine, what artificial intelligence could do and You're going
Speaker 4: to see quite a lot of that in the forum
Speaker 4: this week, just the potential of what we can get right.
Speaker 4: And I think that's where there also needs to be
Speaker 4: a lot of focus. We absolutely need to be watching
Speaker 4: out for the risks, but there also needs to be
Speaker 4: a focused on the opp.
Speaker 2: Is that part of the solution to solving or dissipating
Speaker 2: this misinformation, this suspicion, this fear that everyone's got, that
Speaker 2: we're being fed bake stuff, but focusing on some of
Speaker 2: these positives instead.
Speaker 3: Are we going to hear a lot of that this week?
Speaker 3: Do you think?
Speaker 4: I think both things have to be done. I think
Speaker 4: the risk around miss and disinformation is real. I think
Speaker 4: that has to be dealt with as well. And then
Speaker 4: there is, at the same time an enormous amount of
Speaker 4: opportunity of the use of artificial intelligence, whether it's in
Speaker 4: public services or medicine or other fields or education. That's
Speaker 4: going to be a big piece of what we'll look
Speaker 4: at this week, education meeting AI and what that can do.
Speaker 4: And again it contains just even within that topic alone,
Speaker 4: there are both risks and opportunities.
Speaker 7: Well, thank you both for joining us.
Speaker 1: You, Dave, that was a great conversation. It was interesting
Speaker 1: to actually look at AI not only as you know,
Speaker 1: doom and gloom or it's going to save us all,
Speaker 1: but it was a very nuanced and bounds conversation on
Speaker 1: the benefits and actually how it will transform business.
Speaker 6: I mean, it's the theme of this week, isn't it?
Speaker 1: And I remember a couple of years ago it was
Speaker 1: all about cryptos. So you have a congress center, and
Speaker 1: of course inside the Congress Center there's no ads. It's
Speaker 1: panels about the global economy, about inflation, about Ukraine, and
Speaker 1: then you come out and it's really all about AI totally.
Speaker 2: I mean, every shop front has got a sign in it,
Speaker 2: and it's whether it's a bank or whether it's a
Speaker 2: technology company. They're stapping those two letters everywhere to try
Speaker 2: to badge themselves as being part of that conversation, right,
Speaker 2: And you know, I guess the question I have after
Speaker 2: listening to all that is is it all hype? Is
Speaker 2: it just this year's crypto or is this a little
Speaker 2: bit more significant?
Speaker 6: Yeah? And I think so.
Speaker 1: The way a couple of chief executives say they look
Speaker 1: at it is actually it changes what we do, So
Speaker 1: it has to be in everything you do. So it's
Speaker 1: you know, how you use your phone, how you market,
Speaker 1: how you speak to clients, and so it's a bit
Speaker 1: of a strange that it could really change basically productively.
Speaker 6: I was worried.
Speaker 1: Do you hear the Sovereign World's Fund of I think
Speaker 1: Norway telling me that I have to be twenty percent
Speaker 1: more productive.
Speaker 6: They I just make sure Dave doesn't listen to this.
Speaker 6: I'll be watching. But what did we think first podcast?
Speaker 6: In front of the audience. I'm addicted? All right, I
Speaker 6: think we need to We need a bigger venue next time, right,
Speaker 6: we need donuts an audience. So shall we do the
Speaker 6: sign off? Do the sign off? Do you remember off
Speaker 6: the top of your head, I am very blonde. I
Speaker 6: have no idea what the sign's been doing.
Speaker 2: Back back interview, So it's thanks for listening for this
Speaker 2: week's in Michale.
Speaker 6: This episode was hosted by Me, David Merritt and I'm
Speaker 6: Fronzie Laqua, and it.
Speaker 2: Was produced by Somersardi and special thanks to Saudia sa
Speaker 2: Hidi and Azim az are Boom.
Speaker 6: I'm glad he switched up. Thank you day for saying okay,
Speaker 6: thanks for listen.