Microsoft CEO Satya Nadella on AI, the metaverse & remote work | Masters of Scale Summit 2022

00:22:32
https://www.youtube.com/watch?v=5xzovCxx0gc

Zusammenfassung

TLDRDie video is 'n gesprek tussen Reid Hoffman en Satya Nadella oor die integrasie van tegnologie en menslike potensiaal deur Microsoft en LinkedIn. Hulle bespreek hoe tegnologie kan help om groot wêreldprobleme soos klimaatsverandering en energiekrisisse aan te pak. Nadella praat oor die gebruik van tegnologie soos AI en die rol van 'co-pilots' om produktiwiteit te verhoog en mense te bemagtig. Hulle bespreek ook die toekoms van samewerking en die Etiek van AI, en die behoefte aan nuwe leierskapvaardighede in 'n veranderende wêreld.

Mitbringsel

  • 🤝 Die integrasie van Microsoft en LinkedIn fokus op die kombinasie van tegnologie en menslike potensiaal.
  • 💡 Tegnologie moet gebruik word om groot wêreldprobleme, soos klimaatsverandering, op te los.
  • 🌍 Energie-oorgang vereis vinnige innovasie en samewerking.
  • 🤖 'Co-pilots' speel 'n kritieke rol in produktiwiteit en bemagtiging van mense.
  • 📈 Ekonomiese groei moet die planeet nie beskadig nie en moet 'n nuwe vorm van sosiale kohesie bevorder.
  • 🧑‍💻 Die gebruik van AI in sagtewareontwikkeling verander die manier waarop kenniswerk uitgevoer word.
  • 🏢 Digitale tweelingtegnologieë help met die oplossing van komplekse besigheidsprobleme.
  • 🔄 Werkers se aanpassing aan digitale gereedskap is noodsaaklik vir toekomstige sukses.
  • 🎨 Die metaverse bied nuwe maniere om te werk en idees visueel te simuleer.
  • 🌐 Die rol van wolk-innovasie is van groot belang vir AI en metaverse-ontwikkeling.

Zeitleiste

  • 00:00:00 - 00:05:00

    In die eerste gedeelte van die gesprek, praat die spreker oor die samewerking tussen Microsoft en LinkedIn, en hoe die kombinasie van die maatskappye daarop gemik was om menslike potensiaal te verhoog en produktiwiteit te verhoog. Hulle bespreek ook die rol van tegnologie in die oplossing van groot wêreldprobleme soos oorloë, pandemies en klimaatsverandering, en hoe Microsoft daartoe verbind is om ekonomiese groei te bewerkstellig sonder om die planeet te vernietig.

  • 00:05:00 - 00:10:00

    Die tweede gedeelte fokus op die konsep van 'n "co-pilot", spesifiek hoe Microsoft se GitHub Co-pilot programmeerders help deur kode vir hulle te genereer en te verduidelik. Die Co-pilot word gesien as 'n manier om mense te bemagtig deur hulle vaardighede te verbeter en hulle voeling met die meeste intense kenniswerk, soos sagtewareprogrammering, te verbeter. Dit sluit ook in hoe hierdie tegnologie help om energie-oorgange te versnel en hoe individue hul vaardighede en loopbane moet aanpas.

  • 00:10:00 - 00:15:00

    In die derde afdeling word daar gefokus op die idee van digitale "twins" en die metaheelal. Hier word die konsep bespreek om werklike plekke en dinge digitaal te repliseer om doeltreffender besluite te neem en minder hulpbronne te gebruik. Die spreker beklemtoon ook die potensiaal van die metaheelal om samewerking te verbeter en uitdagende probleme op te los deur die krag van wolkrekenaars te gebruik, wat meer rekenaarkrag en nuwe stelsels vir kunsmatige intelligensie en reële-tyd strome bied.

  • 00:15:00 - 00:22:32

    Die laaste deel van die gesprek dek die toekomstige werkplek en die veranderende aard van samewerking as gevolg van die pandemie. Die spreker noem die behoefte om nuwe sagte vaardighede en leierskapvaardighede aan te leer, soos om geleenthede vir mense te skep om mekaar te ontmoet en te verbind. Hulle benadruk dat leiers optimisties moet wees en energie moet bring, asook verminderde dogmatiese benaderings, deur daarop te fokus om duidelikheid en energie te genereer om oorgrensprobleme op te los.

Mehr anzeigen

Mind Map

Video-Fragen und Antworten

  • Wat is die doel van die integrasie tussen Microsoft en LinkedIn?

    Die doel is om tegnologie te kombineer om menslike potensiaal te verhoog en produktiwiteit te verbeter.

  • Hoe help tegnologie om groot probleme soos klimaatsverandering aan te pak?

    Tegnologie, soos AI en cloud computing, kan gebruik word om komplekse probleme te simuleer en nuwe oplossings te ontwikkel.

  • Wat is 'n 'co-pilot' in die konteks van hierdie gesprek?

    Dit verwys na AI assistente, soos GitHub Copilot, wat gebruikers help om produktiwiteit te verbeter en meer in beheer te voel.

  • Hoe beïnvloed die metaverse die manier waarop ons werk?

    Die metaverse skep nuwe werksomgewings waar mense saamwerk in virtuele ruimtes, wat komplekse probleme beter oplos.

  • Wat is die rol van wolkrekenaarkunde in die toekoms?

    Wolkrekenaarkunde bied die skaalbare rekenaarkrag nodig vir groot AI en metaverse toepassings.

  • Waarom is leierskap belangrik in die huidige tegnologiese landskap?

    Leiers moet optimisme en energie bring terwyl hulle oorvol probleme oplos en organisasies lei deur tegnologiese veranderinge.

  • Hoe pas werkers aan by die digitale gereedskap van vandag?

    Werkers moet nuwe vaardighede ontwikkel, soos die gebruik van AI en outomatisering, om in 'n digitale wêreld suksesvol te wees.

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    so I think I will add to the
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    introduction and something I've never
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    told you um which is when Sati and I
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    started talking about uh combining
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    Microsoft and Linkedin I knew there was
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    a bunch of different very good ways in
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    which the missions were friends the
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    cultures cared about how do you elevate
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    human potential and how do you make them
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    productive and I knew that that was
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    going to be part of the magic of
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    combining the companies what I didn't
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    fully know was that part of the magic
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    would be also working with you um
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    because not only is SAA a extremely
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    smart and accomplished skilled executive
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    but also genuinely looks at this kind of
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    large scale and what are the things that
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    uh the world is coming and how do you
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    take your responsibilities for that
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    world very seriously in shaping the
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    world you want to get so it's been a
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    honor and a pleasure being on this thank
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    you so much re and the next time the
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    board does my evaluation I'll ask you to
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    put that in yes I I would be delighted
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    to do that um so let's start from the
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    the from the very scope of the world
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    which is you know obviously we have um
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    Wars uh pandemics and markets om my we
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    have you know climate change world on
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    fire we'll be talking to Bill about that
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    at the you know closing uh of the last
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    session of the conference but one of the
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    things that you're doing and very much
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    focused on your mission is how do you uh
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    essentially uh use technology to help
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    solve these large problems what are the
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    what's the shape of the kind of the the
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    ways that people should think about you
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    know kind of technology and they solve
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    solving scale problems in the world
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    ahead in this world that has so much
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    challenge yeah no it's it's something
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    that I've been thinking a lot about in
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    fact uh you talk since you mentioned
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    Bill the month when that popular
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    Electronics magazine came out you know
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    which I guess Bill picked up along with
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    Paul Allen and started
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    Microsoft the same week there was a news
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    week cover which talked about the energy
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    crisis
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    inflation uh and so that juxtoposition
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    of those two magazine covers um sort of
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    I think are back with us uh in some
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    sense which is you have all the things
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    that you talked about uh as the
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    challenges or constraints and so so this
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    idea of doing more with less of course I
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    come at it with the bias of software as
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    the most malleable resource that we have
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    that we now got to use to tame uh all of
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    what's happening but the way I think
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    about let's talk about more what is what
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    is more I would say economic growth I
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    mean if I look at human history the last
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    250 years have been pretty unique right
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    it is the Scientific Revolution combined
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    with a whole bunch of other things that
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    happened uh which created Modern Life uh
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    We've enjoyed it except we do have real
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    challenges let's take energy right then
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    whatever economic growth that comes next
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    cannot break the planet uh we definitely
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    also need more social cohesion inside
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    the United States in the world so that
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    means we have to deal with
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    inequities um right so so to me thinking
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    about technology that drives economic
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    growth while we in some sense we need a
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    new constraint solver where you need
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    economic growth but don't break the
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    planet create more trust create more
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    Equity uh and that's what I think I I'm
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    I'm most excited about or at least
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    that's what Microsoft's mission is and
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    in fact the way I describe it is what if
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    we now maybe during the founding of
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    Microsoft you picked one magazine and
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    sort of created history this time around
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    pick both the covers uh and then go to
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    work on it and and speaking of creating
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    history we are in this huge shift in
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    artificial intelligence and one of the
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    things that I think that uh Microsoft is
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    is doing very well is thinking about how
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    to amplify human beings and one of the
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    products we already have in the market
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    is co-pilot yeah so say a little bit
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    about co-pilot and say how that isn't
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    just like why it's really interesting on
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    for engineering and developers and how
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    technology the creation of Technology
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    but also go to how this is a way that
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    all professionals all creatives should
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    be thinking about what kinds of
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    Transformations are coming down the pike
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    yeah I mean this if you step back for a
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    second uh I think uh Greg Brockman is
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    also coming later uh what's happening
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    with these large uh multimodal models um
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    is pretty phenomenal um and essentially
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    the curve on intelligence
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    basically by throwing more compute
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    you're creating more
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    intelligence um so let's take that um
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    you know if you don't you know Greg I'm
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    sure we'll talk a lot more about it but
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    let's take that as a
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    given the I love this idea or this
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    metaphor of a co- pilot uh because it's
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    it goes back to I think to the theme of
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    Masters of scale it's such an empowering
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    word even right so I'm the pilot and I
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    have a co-pilot um the GitHub co-pilot
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    it's essentially it's an AI pair
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    programmer right uh in fact it's it's
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    the thing that makes me feel just great
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    every weekend whenever I feel like I
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    bring up vs code you know it's kind of
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    believe me I mean I wish I could code
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    better uh but you know but nowadays with
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    thanks to get up co-pilot I can get into
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    anything and feel like a super person
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    like super programmer um the idea that
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    you can really tame the learning curve
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    on the most sort of intense knowledge
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    work right software programming is just
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    pretty phenomenal I mean one of the the
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    you can prompt for whatever it is that
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    you want to do um and it'll generate the
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    code for you yeah but it's just not that
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    right you can just highlight a bunch of
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    code this is stuff that we have in the
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    labs now which is you can highlight a
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    bunch of code it'll explain it for you
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    in English right which is sort of a
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    great way to learn it let's say you know
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    one of the things that's happening is
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    everybody's saying hey C++ to rust right
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    which is sort of how do I move to
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    perhaps a more security first language
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    from C++ and it'll translate it for you
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    yes so if you have something of that
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    nature and it's like inside of the data
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    we have it's around 30% 40% of the code
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    is being generated by the AI programmer
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    but you're still in the loop right the
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    way the design even works is you don't
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    feel the loss of control if anything you
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    feel more in control more productive
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    more EMP powered and I love that human
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    feeling and somebody sort of described
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    this to me which is when the first
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    computers came how people felt using
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    them is how I think the co-pilot
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    recaptures it and to your point it'll
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    change everything like we're working
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    with Autodesk on Maya uh so you can
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    imagine architecture industrial design
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    uh pretty much any field you can have a
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    co-pilot for everything and so that I
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    think is a great metaphor uh there will
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    be Automation and full automation
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    somebody gave me this nice sort of AI
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    metaphor of you are um in the loop on
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    the loop or off the loop uh it's sort of
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    a good way to think about the three
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    designs uh this one is you're in the
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    loop uh and that's a place to focus on
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    yeah I mean it's one of the things that
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    I think is gets so often lost in the
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    discussion of artificial intelligence is
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    that there because it's like well okay
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    you know look at Hollywood Video most of
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    it's like Terminator exmachina etc etc
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    we the revolution we're in is enabling
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    human beings right we will get to other
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    questions that will be important
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    questions around Equity important
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    questions are handling it but the
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    amplifying giving all human beings
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    superpowers like that was one of the
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    things that Dolly which are also doing
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    with designer right which is you know
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    how do you make everyone and all of
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    their skills more able to do amazing
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    things 100% And then then the one other
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    thing Reed you mentioned let's take this
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    entire energy transition I had not
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    understood this and there are many more
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    experts you're talking to bill later but
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    the the thing that I I didn't realize is
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    in order to move the world from one
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    Paradigm to the other we kind of have to
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    compress maybe 150 years of chemistry
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    into like 5 years 10 years 20 years
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    there's no way we can do that without a
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    co-pilot for it uh like in other words
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    just finding the new molecules that
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    completely change uh what is our
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    petrochemical base that's the type of
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    stuff that I think is doing more with
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    less to me yep and and what do you think
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    when when when people think about uh
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    what are the ways that they should kind
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    of approach their own skills and careers
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    like you also mentioned already with
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    co-pilot your own coding but when
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    they're thinking about these tools how
  • 00:09:15
    should they think about how do I adjust
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    how do I help how do I lead my
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    organization what's the ways to think
  • 00:09:21
    about this yeah
  • 00:09:23
    it's first of all one of the things that
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    are most when when we think about
  • 00:09:27
    digital capability build right I go back
  • 00:09:31
    you know when the PC was born um I I I
  • 00:09:36
    distinctly remember the first time I
  • 00:09:38
    used a spreadsheet uh I don't know how
  • 00:09:40
    you all felt but you know it's just well
  • 00:09:42
    I mean Excel is my most
  • 00:09:47
    favorite you know what I might as well
  • 00:09:50
    admit it right or uh the re but think
  • 00:09:53
    about it right when you first were able
  • 00:09:56
    to make sense or numbers right your
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    relationship with numbers changed yes um
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    and so knowledge work in particular in
  • 00:10:04
    the early ' 9s as it started spreading
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    uh you could even say late 80s but early
  • 00:10:08
    90s is when with sort of the graphical
  • 00:10:11
    interface completely changed um
  • 00:10:14
    interestingly enough the question is
  • 00:10:16
    what is that what is the moral equalent
  • 00:10:18
    of that um I do believe a domain expert
  • 00:10:22
    who has I'll call it Excel class skills
  • 00:10:26
    can they create automation can they
  • 00:10:29
    create workflows that's sort of I think
  • 00:10:31
    the real uh way to think about even
  • 00:10:34
    Skilling so one of the things is there
  • 00:10:35
    will always be elite skills no no you
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    know like the people doing these large
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    scale AI models is one side but the most
  • 00:10:42
    exciting thing to me is the Excel like
  • 00:10:45
    skills that are going to spread around
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    the world in every domain in fact one of
  • 00:10:49
    the things that I've seen even in the
  • 00:10:51
    pandemic where there wasn't enough time
  • 00:10:53
    to go to the digital team to have them
  • 00:10:56
    build stuff for you uh do M experts were
  • 00:11:00
    turning to robotic process automation or
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    these low code no code tools to create
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    applications and guess what they were
  • 00:11:08
    being assisted by AI in fact we have in
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    Power Platform the idea that you can
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    just take pictures of say some design
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    you drew on a piece of napkin and turn
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    it into an app right so there's AI that
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    does the forms recognition generates the
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    code and then you can probably add a
  • 00:11:24
    formula too that type of skill is is in
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    some sense takes the domain skill you
  • 00:11:31
    have and makes it a digital skill and
  • 00:11:34
    that's just fundamental amplification
  • 00:11:36
    yeah this blurring and crossover of the
  • 00:11:39
    world between atoms and bits is actually
  • 00:11:41
    one of the things I think is really
  • 00:11:42
    leading to the to the amplification so
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    let's let's let's uh add to this uh
  • 00:11:49
    metaverse and um start with digital
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    twinning right so like because part of
  • 00:11:54
    the whole thing about being able to
  • 00:11:55
    amplify the world we live in the world
  • 00:11:57
    we navigate is to use these tools within
  • 00:12:00
    simulation environments within uh and be
  • 00:12:03
    able to apply them in a much stronger
  • 00:12:04
    way so what's the what's what's the way
  • 00:12:06
    that you're thinking about this yeah I
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    mean the way at least I think about it
  • 00:12:11
    is all of um the software categories
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    we've always had are all about
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    essentially
  • 00:12:19
    creating digital twins uh of people
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    places and things right so there's you
  • 00:12:24
    know Bill would always say to me there's
  • 00:12:26
    only one software category it's called
  • 00:12:27
    information management and I never
  • 00:12:29
    understood what the heck does he mean by
  • 00:12:30
    that but it fundamentally is that's all
  • 00:12:33
    it is you schematize the world uh and
  • 00:12:36
    then that helps you re you know reason
  • 00:12:38
    about the world but the point about the
  • 00:12:41
    meta wore to me is we've done it by uh
  • 00:12:45
    reference right so you schematize
  • 00:12:47
    something you know about a person a
  • 00:12:50
    place a thing whereas for the first time
  • 00:12:53
    you now can do it by value right so you
  • 00:12:56
    can schematize the actual place
  • 00:13:00
    um or or digitize the actual place the
  • 00:13:03
    actual thing the actual person and then
  • 00:13:05
    you put the two things together right
  • 00:13:07
    embodied presence in a place without
  • 00:13:10
    being there that's a killer app right I
  • 00:13:12
    mean teams meetings are fantastic but
  • 00:13:14
    what if we can have this type of setting
  • 00:13:17
    where embodied presence uh can actually
  • 00:13:20
    happen that to me is the killer app uh
  • 00:13:23
    you know in a world where we move
  • 00:13:25
    towards the metowers but to your point
  • 00:13:27
    about digital twin
  • 00:13:30
    I must say this a even in the pandemic
  • 00:13:34
    one place where we saw a lot of
  • 00:13:35
    acceleration is every Warehouse every
  • 00:13:38
    Factory uh effectively got digitized um
  • 00:13:41
    and the benefits of digitization mean
  • 00:13:44
    that you can run in simulation uh that
  • 00:13:47
    is less less waste less energy more
  • 00:13:50
    accuracy the ability to sort of remotely
  • 00:13:53
    debug things so I think that to some
  • 00:13:56
    degree that thinking about this in as
  • 00:13:59
    just the next phase where we are
  • 00:14:01
    digitizing by value not just by
  • 00:14:03
    reference is probably a good way to sort
  • 00:14:06
    of think about the meters yep and how
  • 00:14:07
    does the the metaverse work which
  • 00:14:10
    obviously you know people it's very easy
  • 00:14:12
    for people to imagine things like snow
  • 00:14:14
    crash and entertainment and all the rest
  • 00:14:16
    but part of what I wanted to highlight
  • 00:14:18
    because this is a bunch of the work that
  • 00:14:19
    that Microsoft and you guys are doing is
  • 00:14:20
    it's not just that it's how you work
  • 00:14:22
    it's how you solve difficult problems
  • 00:14:24
    it's how you uh you know kind of uh game
  • 00:14:27
    out things
  • 00:14:29
    now how is that uh a core part of the
  • 00:14:33
    cloud Revolution so talk a little bit
  • 00:14:35
    about how metaverse and Cloud go
  • 00:14:37
    together yeah I mean the
  • 00:14:41
    the thing that I find um that cloud has
  • 00:14:46
    just done is for any category whether it
  • 00:14:50
    is AI or for metowers is created
  • 00:14:54
    abundance of compute that at that at the
  • 00:14:57
    foundational level I mean if you think
  • 00:14:58
    about it right you know you had the main
  • 00:14:59
    frames you had the minis you had the
  • 00:15:01
    client server revolutions they were all
  • 00:15:03
    about sort of really creating more
  • 00:15:05
    elasticity in some sense of compute but
  • 00:15:08
    the cloud is truly the first time where
  • 00:15:11
    you can uh just throw lots more computed
  • 00:15:15
    any problem you want the other thing is
  • 00:15:18
    especially at a time when Mo's law seems
  • 00:15:20
    to be running out of gas uh you now need
  • 00:15:24
    new system architectures uh like
  • 00:15:27
    basically in order to be able to train
  • 00:15:28
    the large scale AI models we had to sort
  • 00:15:31
    of completely build a new type of
  • 00:15:32
    supercomputer uh which is very different
  • 00:15:35
    than what you would do to run just say
  • 00:15:37
    regular Enterprise VMS or what have you
  • 00:15:39
    so that to me is what is really helpful
  • 00:15:42
    which is you can have different system
  • 00:15:44
    architectures like in order to think
  • 00:15:46
    about realtime streaming or and
  • 00:15:50
    visualization uh is a very different
  • 00:15:52
    type of workload but that requires
  • 00:15:54
    different type of computation and we can
  • 00:15:56
    build the cloud for that and then make
  • 00:15:58
    it elastic you can do the same thing for
  • 00:15:59
    training you can do the same thing for
  • 00:16:01
    inference so that to me is why I think
  • 00:16:03
    the cloud Revolution is still in the
  • 00:16:05
    very early stages but the way I I myself
  • 00:16:08
    having started in the Microsoft cloud
  • 00:16:09
    way back in say 2010 and to recognize it
  • 00:16:13
    now I just can't I mean it's just a very
  • 00:16:15
    different Beast yeah uh and so when we
  • 00:16:17
    say cloud what do we mean we mean
  • 00:16:21
    compute systems that are changing by the
  • 00:16:24
    nature of the workloads yep and and then
  • 00:16:27
    to to shift a little let's let's talk
  • 00:16:29
    about the future of collaboration we've
  • 00:16:30
    all come out of you know the pandemic
  • 00:16:33
    we've all kind of suddenly gotten shift
  • 00:16:34
    many of us gotten shifted in location um
  • 00:16:37
    we have this kind of question and this
  • 00:16:39
    may also be you in terms of how you're
  • 00:16:41
    leading Microsoft not just the tech but
  • 00:16:43
    it's like you know 70% of people say
  • 00:16:45
    according to Microsoft they they want
  • 00:16:47
    this flexibility but also 70% say they
  • 00:16:49
    want more human connection so how is it
  • 00:16:52
    both leading Microsoft and the tools
  • 00:16:54
    you're navigating this you know apparent
  • 00:16:57
    Paradox it's hard
  • 00:17:01
    uh yeah it's
  • 00:17:03
    it's it's let first you know because um
  • 00:17:07
    there are a lot of people uh who during
  • 00:17:10
    even all of this came to work right so
  • 00:17:12
    the first line workers you know whatever
  • 00:17:15
    60% of the workforce didn't have the
  • 00:17:17
    option of working remotely or working
  • 00:17:19
    from home so I think let's recognize
  • 00:17:21
    that but having said that I think the
  • 00:17:25
    the the knowledge workers uh this just
  • 00:17:28
    just a real structural shift um we did a
  • 00:17:33
    survey
  • 00:17:34
    recently uh or just looked at data
  • 00:17:37
    pretty broadly across sectors across
  • 00:17:39
    Goos um and there were three findings
  • 00:17:43
    that at least we are staring at
  • 00:17:46
    including ourselves at Microsoft the
  • 00:17:48
    first one is what we describe as this uh
  • 00:17:51
    productivity Paradox right I mean to 85%
  • 00:17:54
    of the managers think their employees
  • 00:17:57
    are slacking off and 85% of the
  • 00:18:00
    employees think that they're working too
  • 00:18:02
    hard and they're burnt up right so I
  • 00:18:05
    mean and it's real data um and so we
  • 00:18:08
    have this Paradox as to how can you sort
  • 00:18:12
    of see the same thing in two different
  • 00:18:14
    ways um and so the only way around it
  • 00:18:18
    read to me is you got to use data in
  • 00:18:20
    other words Dogma is not going to help
  • 00:18:22
    um and you now need to ground yourself
  • 00:18:25
    on how do you act for example have a l
  • 00:18:29
    goals if anything I I think as Leaders
  • 00:18:31
    we have to learn how to bring Clarity to
  • 00:18:34
    what is the output uh that you would
  • 00:18:36
    like you like to see what are the
  • 00:18:38
    measures of it and then using that to
  • 00:18:41
    see whether it's working or not and then
  • 00:18:42
    create the Norms the other piece that's
  • 00:18:45
    very interesting is I mean think about
  • 00:18:47
    it right in the introduction of the
  • 00:18:49
    summit you sort of talked about people
  • 00:18:51
    came here not because you sort of set a
  • 00:18:54
    policy and mandated it they came for
  • 00:18:57
    other people right people come for
  • 00:18:59
    people not for policy yes and u i I like
  • 00:19:02
    to say that all of us are now event
  • 00:19:04
    managers right it's not just the uh
  • 00:19:07
    believe me if I say I have a meeting
  • 00:19:08
    nobody's going to show up uh but if I
  • 00:19:11
    say oh I have an
  • 00:19:14
    event people are going to come yes at
  • 00:19:17
    least once you know and then and so you
  • 00:19:21
    really have to learn I think as a leader
  • 00:19:23
    new soft skills around how to create
  • 00:19:26
    occasions what does it mean uh to hold
  • 00:19:29
    an event um and then I would say the
  • 00:19:32
    last thing is I think every one of us
  • 00:19:35
    you know grew a lot during the pandemic
  • 00:19:38
    uh just because you had one onboarding
  • 00:19:41
    which was a remote onboarding means
  • 00:19:43
    nothing right you have to re-recruit
  • 00:19:45
    re-energize so there's a lot of tough
  • 00:19:48
    tough work but there are lots of tools
  • 00:19:51
    there's lots of Technologies but the
  • 00:19:53
    interesting scarce commodity I think is
  • 00:19:56
    a little bit of what is the new set of
  • 00:19:58
    in new set of soft skills and Leadership
  • 00:20:01
    skills we have to learn just because you
  • 00:20:04
    were a great leader in
  • 00:20:05
    2019 you can't go keep going back and
  • 00:20:08
    saying I just want the world to look
  • 00:20:10
    like 2019 it just I mean maybe it will
  • 00:20:13
    but I don't think so yeah wishes were
  • 00:20:15
    fishes all right so we are actually in
  • 00:20:16
    overtime so very quickly leaders in this
  • 00:20:19
    room leaders in a live feed run other
  • 00:20:21
    teams one message about how the world is
  • 00:20:24
    changing technology Workforce Etc what
  • 00:20:27
    would it be
  • 00:20:29
    I think the the thing the world needs
  • 00:20:34
    today more than anything else from
  • 00:20:36
    leaders is optimism and energy uh it's
  • 00:20:42
    easy to sort of be down on everything
  • 00:20:45
    well the way you started the
  • 00:20:48
    conversation uh that's my
  • 00:20:52
    role not that you are referencing the
  • 00:20:54
    world yes so what does a leader do I I
  • 00:20:58
    think my true measure of any leader is
  • 00:21:01
    who can come into a situation bring
  • 00:21:04
    Clarity generate energy and solve over
  • 00:21:07
    constrainted problems and as long as you
  • 00:21:09
    do those three things then I think we'll
  • 00:21:11
    be a better place SAA always
  • 00:21:15
    [Applause]
  • 00:21:23
    amazing what's said at the summit stays
  • 00:21:27
    at the summit everybody will have to pay
  • 00:21:29
    attention almost no one sees this coming
  • 00:21:33
    those Founders are becoming more
  • 00:21:35
    globally ambitious they're coming after
  • 00:21:38
    your talent your Capital your market
  • 00:21:41
    share the difficulty is when a team has
  • 00:21:44
    been working so hard on one
  • 00:21:48
    thing if you are trying to use your time
  • 00:21:51
    and your talent and your money in the
  • 00:21:53
    service of others the work will never
  • 00:21:55
    end we have to deal with inequities
  • 00:21:59
    it's different if you're a Founder but
  • 00:22:00
    when you walk into something so big and
  • 00:22:02
    so perfect and so successful you know
  • 00:22:04
    it's not about me it's about me becoming
  • 00:22:07
    a part of it and just evolving it and
  • 00:22:08
    making it better the thing that I love
  • 00:22:10
    about it and it makes me so optimistic
  • 00:22:12
    is that there's it's just creating more
  • 00:22:14
    dialogue I'm here to tell you that wow
  • 00:22:16
    human innovation's incredible this is
  • 00:22:19
    masters of scale Summit
Tags
  • Microsoft
  • LinkedIn
  • tegnologie
  • menslike potensiaal
  • klimaatsverandering
  • AI
  • samewerking
  • leierskap
  • digitale tweeling
  • energiekrisis