 Thank you, Andre. Thank you Great pleasure to be back here It's already dead and dark outside. So it's very good to think about the future. So It's the future is really an interesting topic. I think because the future is getting faster every day You know ten years ago. I talked about the future. We talked about things that are far away today We talked about the future and boom is here next week Remember we used to talk about what cars can do five or six years ago You know electric cars self-driving cars and all of a sudden today like everybody's acting like there's only self-driving cars and autonomous cars in our future in fact many companies like Toyota are now saying they will stop making cars with gas engines in 15 years and The old industry is it one of those same things? We talked about Global warming and environmental concerns for 50 years, but all of a sudden it's clear We have more oil and gas and we could ever actually use somewhere But it's going to be too expensive to use it Now we have solar energy has become 97% cheaper in 10 years This means actually if it goes on like this, which there's no reason to believe it will not Roughly in 20 years. We can get the entire planet covered with energy abundant energy from solar Renewable we're talking about 35 trillion dollars worth of loss for the oil companies that tiny problem and Also, of course the end of wars about oil, right? You know how many wars that were about oil I mean the whole purpose of the Middle East will be deflated without oil Maybe they'll have golf courses instead. I but So in many ways, I think it's a very good title good enough is dead You know in my in my own work as a futurist. I've been doing this for 15 years I've come to the conclusion also for myself that good enough is dead It's not good enough for me to actually know a lot of things All of you can know the same thing if you take two weeks off and they just do some work on Google You could figure out what the future brings the next five years. It's not that difficult Because information is a you is ubiquitous now. In fact the other day. I Talked to a very large machine At one of the leading providers of artificial intelligence I'll talk more about that shortly and I asked the machine about the future of Europe And she talked to me very nicely like a person for 12 minutes one of the most intelligent talks I've ever heard about the future of Europe. I'm not kidding you Well, in a real voice this of course a very top-end machine, you know that most of us couldn't hope to have But then I asked the machine about a concept and I'd call that concept the United States of Europe Well, you'll have a good laugh on this one, right? Anyway, it's a concept. You know what the machine answered said command not understood Why because it's not something that already exists You'd have to be a little bit creative to think about that and that's what's happening all around of I good enough Is that my work in the future is not going to be about telling you things you don't know That's me about understanding things that you may not understand. There's a difference. It's a very big difference So basically as a futurist it's really straightforward. What my job is is not prediction There are some futurists like Alvin Toffler that could do this very well and Arthur C. Clarke And people like that they were actually like Jimi Hendrix of futurism so to speak It's a good fit because I used to be a musician. I'm attempting to be like Jimmy Hendrix But in any case my main job is to listen And I think if you take a piece from this, you know, if you learn how to listen to what the future is bringing Your job will be safe in the future. In fact, if you have kids, that's what you got to tell them Listen to what is happening around you and discover the future. That's how you get to be a have a saved job If there is any such thing as a job in the future That's how you can think about What the world is offering to you You know, there are so many thousands of new jobs just mind-blowing like a drone operator Not the military but a civil drone operators thousands of jobs tens of thousands being hired to fly drones For example with blood supply in Africa jobs that didn't even exist in five years ago And one of the main observations I have on this turf is of course the convergence of man and machine The symbiosis of man and machine and so if you take this we all have these devices, right? These are already our external brains. That's your second brain In fact for some guys, you know, it's the first brain when you do stuff like tinder, you know Becomes your extended brain Your phone numbers aren't here your music isn't here your contacts aren't here your banking isn't here your information Isn't here very soon pretty much anything is going to be in here and then you don't actually open it anymore You just say hey, look me a ticket to Oslo And it knows who you are and this is already happening So I wrote a book about this called Technology versus humanity and if you read the book every possible question will be answered now Just kidding. In fact, it has more questions and answers, but just came out three weeks ago There's a website where you can read most of it already tech versus human dot-com Tech be as human and of course my my Twitter handle. I think you saw that here's g-learn hard You can ask questions on my Twitter handle so I'll talk a little bit more about the book later, but basically what's happening around us today is That technology is enabling the most amazing revolution that we we've seen for a long time I'd like to say the next 20 years will be more different than the past 300 years and That is because we've reached a point a pivot point a takeoff point where things are actually no longer science fiction They're actually are working automatic language translation that's been tried for a long time It's finally here the computers are actually understanding human language The Google machine is roughly now a tiny point beneath human understanding It's still quite a big point But in the next two years We're going to be able to talk to computers and they talk to us like a person They will actually understand us and then They're actually going to understand images That's already happening and Then they're going to have quantum processing right so in in 10 years. We're basically talking to a machine with an IQ of 50,000 Imagine how that will change banking you need a big IQ for that So basically now if you're today financial advice asset management That's people knowing stuff that you don't allegedly Supposedly But these are just facts right I mean what financial advisor can real-time monitor all the markets 24 7 a day is impossible Machine can do that for us So we're looking at a world that is going to be so vastly dramatically different and here's all the good things that it does And I like to say it's 90% positive We look at this long list defeating diseases We can probably end cancer We can fight really serious issues like diabetes using technology We can solve the energy problem. We can have abundant fresh water Many things that we can't solve with technology, which I'll talk about like terrorism, right? Obviously, there's no app for terrorism well to fix terrorism and We can enable the disabled and today if you're quite to plead you can't walk you can't do anything You can already buy an exoskeleton suit Costs two million euros and five years of training, but you can walk again using your brain power in a few years Maybe that's possible for anybody people who can actually use their hands to communicate So all these things are very positive, but they come with a price right they come with the price of saying well What else does it do for a 10% worrisome? Total loss of privacy addiction Dependency application All the things that are kind of minor now, but they're you know on the right here dehumanizing All kinds of things that we're looking at of course unemployment is one of those biggest factors. It is a certainty The technology will replace every single routine job in the world in the US They say basically if you can describe your work, you will be replaced by a machine Any routine that we do machines will eventually learn and there's only one cut-off point roughly in 10 years a point called the singularity Which is roughly the point when machines have the processing power than the human brain of the human brain That's roughly 40 quadrillion calculations per second is that what our measly brains can currently do Okay, and that is still vastly superior than most computers and this is just calculations. It's not actually things like emotions or Consciousness or whatever don't even go there But in 10 years we'll have machines like this very machine will have the capacity of my brain in 2050 will have one machine have the capacity of all human brains 10 billion brains There's no not a chance of we're going to get to keep those routine jobs because they are complicated like procurement for example, right or Risk compliance, you know those convoluted areas that we currently still working on That's not that's doable I mean a computer can today of say well you're going to buy a cheap ticket for me using intelligent assistant You know, that's not really rocket science, but all these things will happen in the future So unemployment is a certainty there and then we'll have to figure out what are the new jobs? What our kids have to learn do we need a social new social system? I Mean when 65 percent of people are unemployment then we don't have capitalism, right? What are they going to do to buy anything with So in this curve, this is actually good news. I'll explain to you later. Why I say it's bad news, but In this curve, right? This is the exponential curve This is something we have to get used to I Have only really been understanding this for the last three years. It's a great book called exponential organization my friend Yuri When gaste who wrote this great book talking about how this works and basically what's happening is that technology is doubling Moore's law Metcalf's law, you know what all that stuff every 18 months in power But here's an interesting part we used to be when I first got going on the internet We're at the beginning of this curve, right? We're at this place to where you know We're only here and it's zero point zero one doubles to zero point zero two is still nothing Nothing to worry about Not much change, but now we're here We're at the takeoff point. We're at four and the next point is eight sixteen. So roughly 70 years. We're going to be 128 That's 30 times as far as today So the kids of my kids will never know how to drive a car themselves. They're going to speak to the car and just does it They won't know what a CD is or a book. They may not ever learn languages They may live or it's certain they will live to be a hundred in average so Exponential changes and that impacts of course all the things that we do in business, but We have to learn how to let go of the linear thinking Because linear thinking is certain to have catastrophic results in business In other words, you're assuming what you do today will in some way or the other also work tomorrow That used to be true When I was in the music business there's some chimbos we're going to sell records units Whatever they are downloads and that's how we make money. We make money distributing those round things or downloads Turns out not true The future is not about distribution is about attention 21 million songs on Spotify for nine years a month One CD 25 years if you in the distribution business you're dead. You're just toast I mean on that now nobody will know who Sony music is in five years if they go on like this because that's all they used to do If you're a bank or insurance company if you don't follow the exponential path to a new business model Other people will come and just either do from 50 different directions Look at the car industry What is the biggest mantra of the car business today? Don't buy a car buy mobility Kids are not getting driving licenses. California is thinking about a driving license just for autonomous cars a Car can be a legal entity now very soon in California. The car can be a person and buy insurance This is all exponential stuff that we have to think about if you look at all this compilation here that If you showed this to an uninitiated person that have a heart attack is like a hundred things happening at the same time Not only is our future exponential. It's also combinatorial Which means the trends are amplifying each other and Things become possible because the trends coming together the internet of things which connects Traffic lights and sensor networks and wristwatches and stuff isn't making things possible like logistics in a completely different way a smart city smart farming all of those things So basically you put this in a blender like a cocktail blender and you hit the button and Outcomes complete reinvention And if you're in business, you sort of have to say well, it's mission critical for me to have foresight Foresight has to do with imagination as you can imagine Foresight means that you would actually be able to say what will you be in five years? Every company in the planet has to think about this Doesn't matter how big One of the biggest companies in the world that we just started working with us is Walmart, you know the the retailer two and a half million Employees and they're saying some very interesting thing about the future that does not sound like Walmart at all So you you see in this complete reset This is really mission critical to think about where this is going and how we're going to get there And so now on this exponential curve, you also have a new question You know when you talk about technology we used to say just ten years ago Is it possible that we can make the cloud secure or we can use CRM or ERP software in such a way or so? Whatever the answer is it's always yes. I Mean today. There's almost no question left with that technology can or cannot do something the answer is always yes Just why when? Can technology defeat cancer yes, that is definitely going to happen how exactly we don't know it's but it's not 50 years away It's more like 20 or 30 years away So the question is no longer how or if but why and if you are using technology for your business That is the question the question is not how we going to build the better mousetrap or be more efficient But the question is why what is the human purpose of this technology? so The news really is here that technology is not going to save us if we have a bad business idea or a bad business model In fact the opposite is true because technology is sort of an equalizer also Many people I talked to they want to use technology to be more efficient Most large companies in the world are looking for number one thing is to fire as many people as possible using technology Call centers 54 million people work in call centers These softwares that understand what we're saying They can access a database you know that is just about there 98% unemployment in call centers They'll keep a few people for the tough cases So that is a question. Why are we doing this? Where are we going with this right literally everything is connected? I live in Switzerland, so I use some cows Everything is getting connected This is phenomenal and also very scary The fact that we're connecting the cows we can tell for example how much they've walked and if they are really organic and so on and so on right That's a probably a good thing and we can connect environmental sense of network the street lights are being connected But on the other hand all the information is being collected and we have no idea who's in charge The cows don't care. They're gonna end up being a hamburger anyway, but what about us? How much controlled I mean right now 95% of the global data that we produce is controlled in Silicon Valley and It's controlled under US law, which is emergency law if you may remember after September 11th Anything can be done. We have no control over that And many of my clients are those that are doing this I kind of have an inherent discussion with them about this So we need to figure out how we can actually go forward in the world. That's never offline Some of us may be the last generation of people that know what offline actually means Right now to be fair. I mean Finland is highly connected place Offline is a mental state. It's not a technical state And in Switzerland, I like to say offline is the new luxury So I came up with a tourism campaign for Switzerland saying come to Switzerland be bored I mean Technology has made it impossible for us to be bored. That's not a good thing What do we need boredom for well guess what we need boredom for to discover other things? So we're not constantly surrounded by noise. So never offline is not such a good idea really and Then everything is connected and of course everything is being made convenient Some people talk about the singularity. I'll talk about the so far larity, which has a lot Lying on the sofa remote controlling our entire lives without moving Becomes entirely possible right becoming superhuman I mean this is actually this is the pitch of technology Use our stuff and you have superpower. You know what? I'm really tempted by this. I love technology I try out everything literally everything But the bottom line is if technology doesn't make us better humans, what do we need it for? If the technology you're going to use in your business just makes better algorithms makes it more efficient Well, congratulations. You save a few dollars, but Where is it going? What is the purpose of where you're going with this conversation as I was saying earlier? This is a Google project called g g dealt You can find out anything any job that has to do with information advantage is toast Journalism what not journalism itself, but that part of journalism research financial advice It's no longer about knowledge. It's about understanding how we use that knowledge How we use it just in case pretty much all of that is becoming a bit too predictive analytics You heard about that of course and the financial business widely used With the data intake of several hundred million data feeds a day Any organization can become pretty predictive This is already happening on the markets. I'm sure you know Roughly 47% of all transactions are done by machines When that reaches 87% we won't have a stock market machines working with machines So the whole system kind of collapses then we have to think about what that means for us Where is it going? What could be the next possible steps? Here's a great example Been a trial in the u.s. That said what if we compare judges and Machines and So the case would be that you would have a criminal He would decide that criminal can go back on the street and maybe he will come around right or not Based on facts the judge decides This trial showed the judge had worse judgment than the machine The machine made better decisions Suggested by algorithm about who should go back on the street or not Well allegedly, okay So question I have for you who do you believe man or machine? Where does this go? You know what the next proposal is? Artificial intelligent politicians Well, that's only an upgrade I suppose right I Will talk more about that but I mean in business you have to wonder about this right when you have when you do business And you're using data. How real is it and how do you decide? I mean, this is what I call the trip advisor effect. You guys use trip advisor Okay, sometimes you have to say it's you know, it's pretty amazing and it's pretty accurate and sometimes just so totally Damn wrong. It's just completely nuts, right? And this is because you don't know what happened with trip advisor and what the exact Composition of that output is so and it could be heaven. It could be hell You don't know you can I mean if you're just going to go eat what trip advisor tells you you are in deep trouble On the other hand if you already made your picture some worlds trip advisor can complement it But you know, why would you stand in front of an empty restaurant where there's absolutely nobody? Well, all the other places are packed and it says in triple right. This is the best place you can go to but it's completely empty Right, why would you go inside? If everybody else goes somewhere else just because the machine tells you that's what we do That's called automation bias That's because that's who we are We like we like shortcuts As a musician, I spent my 10,000 hours working as a musician learning how to play an instrument Let's just shortcut that and buy an iPad with an app and I can reach the same place in 10 hours And is that the way the future going to be? I don't think so So let's talk about this IBM has some really great projects here It's one of my clients, but I'm not showing that for that reason. It's kind of entertaining check out what Sheila bear said She was the head of the FTC in the US Sheila bear former FDIC chairperson under two presidents. That's me. I have studied your writings on finance Oh, you read my book. Yes. I am learning about risk. What risk is necessary Watson? It's the only way businesses grow We just have to manage and understand it. I can analyze complex data to help people evaluate risk and make better decisions That's great. Because you know, this isn't just theory. This protects real people and real lives. That is a real good point Sheila bear Yeah, so interesting, you know that IBM is suggesting that we could use a machine to do these things in fact The CEO of IBM the other day, Jenny Rometti said in the future. It won't be experts people deciding it'll be analytics and data I think she was quite serious about this So where does this go and how we're going to? Value this in which direction will we take this? I mean, this is going to be Really really interesting discussion. Go back to the title of the come of the presentation This is sort of a Darwinistic thing that we're seeing I call this digital Darwinism What used to be good enough no longer is Airbnb now is much better than many hotels and it's providing an experience You could argue that of course, but Airbnb is liquid. It works Netflix. I mean, Netflix is you have Netflix here, right? Is exploding killing regular over the top television? You have this what's happening in New York less people taking taxis more people taking ubers and as soon as something comes up That's just really good. That's actually works It's completely over and so basically good enough is dead Look at banking Every major bank in the world has an initiative. What's called robo advisor? These are robotic systems software agents That can advise customers because now remember computers can speak and they can understand what I'm saying So that makes them pretty much like a person backed up by a hundred billion data feeds IBM just bought a company in New York a thousand people who are risk and compliance Analysts and the only reason that IBM bought this company is to feed their heads into the machine Literally All those guys are going to sit down and say this is how I do my job I'm going to do if this then that you know that sort of thing and the machine will learn it make a model out of it. I Guarantee you these robot visors will do a better job than most financial advisors ever have On a on the low risk level, you know an obvious paradigms like investing 10,000 euros and you know low Environment low risk environment and then the blockchain This is a revolution. That's almost like the second internet now The possibility of a cryptographic peer-to-peer network that transacts contracts and money And all these things at 99.9 percent cheaper. I mean, this is the key topic, of course for banking B2B is next. This is not just about the consumer space So Martin McLuhan once said that with new technologies. It's the framework that changes not the picture So when you think about what you're doing in your work and what your company is doing Let's think about the framework The largest story procurement is a great example. What is the story of procurement buying stuff for your company? Most of that stuff is going to be about facts and figures and matching and you know, it's intricate But what is the feature of procurement? probably an algorithm on Some level So when we think about this all over some we're realizing or we have stuff like artificial intelligence robotics the fourth industrial evolution These things are all extremely powerful. I'm basically I'm saying is 90% opportunity But we'll have to understand where the opportunity lies especially for Finland small country Like Switzerland where I live, I think a little bit bigger than Switzerland So what does it mean? How can we use this on a global level? Where do we go from here in this millennial generation? That's never offline You know 75% of the workforce around the globe will be kids, you know who are now 25 They'll be the new CEOs You know they're going to decide stuff that that you would never think that we would decide I mean if a 25 year old kid ever moves out from from the house Most of them actually stay if they do ever move out They will not subscribe to cable television They'll get the internet They're not looking for a career job. They're looking for fulfillment completely different life So in this direction, we're basically going to see what I call the mega shifts. It's a big part of my book The 10 mega shifts are something to dive into I will not go through all of them because we'll be here tomorrow morning if I do But There's a new site and work notes called mega shifts comm you can poke around there But basically those are the trends that will change our society on a much larger level than just what is called digital transformation In fact when you hear about digital transformation just put that somewhere in a drawer. That's like social media It's like a concoction of meanings. Nobody knows what that actually means But you take on all those trends you put them together. Let's start with one datafication The other day I bought my first connected hiking boot This is a I mean I usually wouldn't do those kind of things because I think it's kind of annoying But I try that anyway and what the boot does It connects to my phone Collects all the data and it says you've walked 43 miles and I can tell you your left foot is dragging more than your right foot That's interesting information And that's why I'm not doing so well like the blister or something or it says you're going to need new shoe laces in 40 kilometers So all that data that didn't use to exist because I had to go look at the shoes to figure it out Right, that's now becoming data when your doctor 10 years ago sees you it would scribble stuff down put it in a file That never turned into data Today every single bit of information is turning into data that can be tracked put somewhere connected datafication and That is also heaven or hell like because it can create all kinds of interesting scenarios Automation, of course, that's quite clear. We'll talk more about the augmentation We're becoming augmented people The mobile phone is kind of an augmentation, but that is very trivial is outside of us But very soon augmented reality virtual reality holograms Are we going to be mainstream as I'd like what's up? So when you're a doctor or policeman you were a holographic visor and you can see the world like Tom Cruise did a minority reporting and go inside the data and take it out and create large contexts So that is going to result in a world that is dramatically different like the world of the autonomous car I mean if you put all these trends together automation Platformization virtualization robots data personalization you get these kind of products Vastly different kinds of products So these mega shifts are really important to understand because they kind of point in this direction So if you want to read about the blockchains are more which I just omitted you have to read my colleagues book Don't have Scott blockchain revolution If you can make it through the whole book, then you'll know that's really a deep piece right and I'm banking is now Impacted by all of those things that are on this list So let's talk about disrupt a little bit more. That's actually good a good relation to this If you're looking at this chart and just look at your own company or your own life and say which ones of those four things Attribute to my company And then you know what your fate is in terms of how you're going to deal with disruption Let's say your banker Complex environment tick trust issues big tick obsolete intermediaries huge tick Restricted access regulation tick Four of those things are applicable to banking. How many of those will be applicable to energy? Complex environments trust issues. Yeah a little bit Intermediaries a little bit as little bit early for that restricted access. Yes So that's a good way to analyze. So if you arrive for disruption and I like to call disruption sometimes a Tesla moment No years ago We did a seminar for a big German car company was six or seven years ago And we talked about self-driving cars autonomous cars car sharing And we had a room of 20 or 30 people and we basically got laughter We got flat-out laughter about the concept of sharing a car The idea of having a car does not have a great sound when you step on the gas The Tesla moment is when you realize that the other guys weren't full of shit All of a sudden you realize, you know, this could actually work Tesla moment in journalism We realize that people love paper, but you know, there's there's a possibility of paper not necessarily be in the future Now we realize of course an entirely new business models coming up the Tesla moment in the music business and found out they sued 258,000 people when they went to court Against 258,000 people and they realized it didn't do a thing For their business and all the money went to the lawyers and They lost 71% in revenues in 12 years So if you're facing the Tesla moment, you have to think about this I mean look at what Tesla is doing Tesla is currently selling twice as many luxury cars as Mercedes and BMW combined In most Western countries where they are I have no idea why because it's even hard to get one But so that's partly based on this title shift in computing And this title shift is really what we have to understand now computers are now going from the tabulating era To the programming era to the cognitive era This is important to understand because Program computer does a job a cognitive computer actually invents the job Well, this is IBM's headline a cognitive computing But let's talk about cognitive as a separate thing cognitive as thinking right? I mean we tried this years ago thinking machines right this was in the 50s Today the number one objective of CXOs in the banking financial services sector is cognitive computing Followed by insurance media and so on is computers that can make up rules and define the process Logistics for example Estimation is that if we had computers figure out how to do logistics that's trillions of interactions We could save between 50 and 60 percent of cost of logistics This is a mind-boggling number including of course some of them would be printed rather than shipped Now we have computers that are totally capable of that quantum computers Biggest one is in China, of course But by around 2020 estimates are saying that we will have our deficient intelligent computers that can learn markets And can learn our bodies also What will we do with this enormous power? This is like the power of nuclear energy Can be terrible most of the time it is What can be used for energy? So we're gonna need some pretty wise politicians We're gonna need some people really understand this otherwise we're in deep trouble Because this is tremendous power of technology We can reinvent how we do things or we can blow ourselves up in the process and this is a huge premise learning machines Mean simple learning machines already you use every day like Google Maps Google Maps knows who you are where you are the average Google user has 25 million records on Google 25 million You don't even want to know how many records Facebook has about you That's a lot more than that So this machine is already learning about you and and Google knows that you've been there you've been here You've stayed there longer just like Amazon knows when you read the Kindle how fast you read What time you read how many times you skip whether you've shared it What time you open how big your battery is and so on what they know all these things And they learn from it So that's a huge premise and it's basically the idea of saying that computers can do this And you've heard about the singularity the point in time roughly ten years that may be optimistic when computers have the same capacity than us and 2050 what we may be entering a post human era This is a kind of a strange conversation to have we'll go back that in a second But suffice to say this now we have to think about What I call digital ethics on how good is technology how powerful is who's in charge and What do we intend to do with it? This is a big conversation because it has to do with lots and lots of things that are really important This is a page from from Time magazine Bunch of people have proposed that the next president of the US should be an artificial intelligence. I Think that's probably a good alternative to the current choices Even though I have to say I do hope that we don't get Trump. He's already in AI, but a badly programmed one as a So, I mean, this is a joke aside, you know, basically the convergence of man and machine is years away not decades If you're my age, you're going to see that you can't retire before that happens. Sorry It's years away and I would maintain that is really 90% positive imagine all the things that we can do if we do this right When you think about man and machine don't think about Hollywood. It's a complete fear mongering Don't think about black mirror of our ex-machine or you know, there's only two good movies as Blade Runner and her That's somewhat get it right. The rest is just all fear You cannot proceed into the future based on fear You'll never do anything. I just The biggest problem of machines is not that machines will kill us But that we become too much like machines We know what it means to become like a machine when you see a family sitting around the dinner table and everybody's working on their external brains That's we have already become machines How will we adapt what's the social contract and what is the the consequence of this right in this world data is the new oil And you see in the start of this been widely spread Ten years ago the most powerful companies on the planet were oil companies and banks Today look at the list of companies alphabet is Google, of course the most powerful companies in the world are tech companies data companies data mining companies platforms and So the question really is what will we do ultimately? Should they be regulated like we regulated oil? Probably I mean their power is tremendous They're playing on a tilted playing field technology companies don't play on the same playing field than you know, Mercedes-Benz They start from zero When YouTube started it was basically illegal to upload videos. They found an exemption under the DMCA. Okay, that's pretty clever But you know it wasn't entirely legal and they started on a playing field of saying well the worst case is we all go to jail for copyright infringement You can't do that when you have a major newspaper So these companies are starting on a playing field and it's powered by artificial intelligence by data analytics But all these things and the CEO of Google says famously Sundar we're going from mobile first to AI first I mean, this is a company that makes 2.8 billion dollars a month with advertising where we type some two-word phrases into a search engine That's like Stone Age basically Now they're going to artificial intelligence. In fact Google is building a global brain Everything we have in there in the sky connected This could be Skynet if the worst case or it could be Nirvana because it would open up all kinds of thing including research and this 8,550 oncology reports every single day and case studies on cancer Which doctor can look at all that stuff and it's impossible can we have a machine that does that that would be Fantastic the intelligence or super intelligence of that. So those are the biggest game-changers period in our lives and They will change everything to the good or the bad that we have to think about how do we actually create this? You know Muffins that can talk to us from apps to global brains to digital assistants and that do all these things It's an example. This is a very complex question. I asked the other day of an app called Viv Which is was just purchased by Samsung very complex question and this digital assistant goes out and gets my ticket in 14 seconds Imagine you can ask this assistant and say, you know, I have a slight problem with the social security system in health In Finland, can you run this 1.4 trillion records and come back to me tomorrow with a fix? That's a little bit far away today, but that's not too far away because now we have all this control speaking to machines Here's a quick example. So how much money do you have? Alexa stop Marino you definitely have to stop. How you do that? It's my Amazon Echo. I Can stream music Order things and watch this you thought about the Amazon Echo. This is a box that sits in your living room four and a half million Americans have it That listens to you the entire time You just say Alexa, please switch on the light in the bedroom play rock and roll in the bathroom order some more sticky notes Speaking like a friend This is already happening today and the future is quite clear that intelligent machines are here and My good friend Paul Saffo a future viz says that we should be careful not to confuse a clear view with a short distance For this to really work perfectly. It's quite a bit away Alexa can order my sticky pads But more complicated things. I think it would need more information for that to actually work I'll skip this because I want to get to the summary and get some questions. Okay, so First I get this all the time. Are we becoming useless humans? This is a serious question You could argue that we're useless because technology will do everything for us Including having babies by the way, that's another project. That's being looked at called exogenesis in an external womb This is not science fiction Even though I think it should be But so I'll be becoming useless. So the question really is what do we do in the future if if they can do all that stuff? Well, the answer really is as this guy Albert Hubbard said years ago One machine can do the work of 50 ordinary men women. No machine can do the work of one extraordinary man or woman and How do we become or how do we remain extraordinary by being human? The exact same skills that weren't allowed in companies in the past which is emotion compassion intuition imagination Other ones that are going to be our future Because all the other hard skills, you know implementing a plan figuring stuff out that's machine work That is robotic work that we used to do work like a robot So that is going to be our future is to combine those two things You know figure out where we're going with us what I call the andro rhythms You know the human rhythms that we have in ourselves that are enabling us to do these things So the bottom line is whatever can't be digitized and automated will be and That's a certainty Just like music is in the cloud. It's not on plastic And the future of the car does not contain fumes coming out the back But it's also true that everything that cannot be automated will become very valuable and That happens to be 95% of what we do When you're working with customers, you're not basing your relationship on algorithms. This is about trust meaning purpose service Not zeros and ones and this is a whole different thing that we're doing that computers can't currently do So the key question really is in your in your business. What should be automated and what should not be automated. I Mean clearly driving a car is not a human thing that we must have I'm driving a car out in the country. Maybe but driving a car for transportation in the city That's not a human requirement and we could we can live with automating that. I think you'd agree very on German thing to say but still What should we not automate while clearly finding a partner deciding life and death Having people killed with automatic drones There's a couple trivial things that we should keep to ourselves to our own decision-making process That we should actually keep because technology has no ethics That's a fact and I think that's fine There are some technology companies that have recently come around to thinking about ethics and that's good news If we use lots of technology then we have to figure out how we put the human inside, right? That's the bottom line The more technology you use the more you have to put humans inside. Otherwise you end up with a machine So the more we amp up technology the more we have to put the human side because machines don't think like humans think Humans think with the body not the brain. That's Daniel Kahneman the famous Nobel Prize-winning psychologist who said cognition is embodied. We think to the body not the brain If I meet you in the hallway it takes us one second to figure out if we're gonna go to connect if we're part of the Same tribe or whatever you want to call it one second Without actually saying anything So that's basically the big difference I did the danger is really that we would say that machines can do all the things while they really can't So our future in business to say let's use those machines. Let's replace all the routines. Let them do what has to be done That's just monkey work fine They don't have to think like we think they should not have ethics. They should not have emotions. They should remain a tool And I can guarantee you if you don't use these tools you will be dead your company will be dead in a short time Because that is the nature of business and that's what's happening all around us So let me come to a summary to see how Walmart says something very interesting as The world becomes more digital It will be the humanity of Walmart now That's kind of an irony right there. It will be the humanity of Walmart that Differentiates us and wins with customers That's an interesting statement right as the world becomes more technology. It's the man here makes a difference I think that's something we can learn something from so I would Recommend you look in this direction right as much as you may believe in technology Hence the chain, right? It's really about experiences About purpose about putting the human inside and you can clearly see what this is happening in work. You see this chart here totally clear non-routine cognitive work on the way up Routine manual work carpenters plumbers electricians artists on the way up everything else down Don't let your kids learn a routine job Whether it's a programmer or a banker on the low level Whatever it is accountant bookkeepers. Oh my god, just So let me summarize okay Exponential change is certain this is a positive force in our life that we have to embrace We have to understand think the best way to prove that your future ready is to understand this Thinking machines and artificial intelligence is a certainty. That's as certain as Spotify music moving into the cloud cars going electric the mega shifts the end of routine I Made a list the other day saying these are all my routine jobs and Now I'm ticking one after the other awful list and trying to automate use a machine for that Because that's gonna happen routine jobs will be going that direction developing four sites a Four-side a week. That's all I ask Just one idea about your future and finally digital ethics What are the guidelines for our life in a machine age in a digital age? If a single politician official CEO any leader has to answer that question all the time how we do this in the future so I want to leave you with the bottom line realization that I Have a lot when I'm speaking to people is the less we assume about what we are and what we can do the more we can discover So assume less discover more is a very good way of looking at this and saying well, what if what if Let's imagine this would be different Alvin Toffler said in dealing with the future. It is far more important to be imaginative than to be right Also very ungerman thing to say This is our future. Let's imagine what it looks like and then we'll get it right. Thanks very much for listening