Why AI Isn't Taking Jobs....Yet

00:15:57
https://www.youtube.com/watch?v=xuuo4qWhK6I

概要

TLDRThis video explores the escalating energy demands of AI data centers and the implications for power generation infrastructure. It highlights how the rise of AI technologies has led to increased power consumption, with data centers consuming up to 4% of global electricity. The video discusses the challenges posed by existing power grids, particularly in states experiencing shortages, and examines potential solutions such as renewable energy and small modular nuclear reactors. The complexities of building new power plants in response to growing demand and the environmental impact of high energy consumption are also covered, along with innovative ideas like underwater data centers to reduce cooling demands.

収穫

  • ⚡️ AI's rapid growth increases energy demands significantly.
  • 🌍 Data centers now consume about 3-4% of global electricity.
  • 💧 Cooling data centers requires vast amounts of freshwater.
  • 🏭 New power plants are slow to construct amidst rising AI needs.
  • 🔋 Renewable sources face challenges with intermittent power supply.
  • 💡 Small modular reactors (SMRs) could provide localized power.
  • 🌊 Microsoft's underwater data centers explore innovative cooling methods.
  • ⚖️ Balancing consumer energy needs with AI operations is critical.
  • 🏗️ Sweden's experience shows limited job growth from data center power subsidies.
  • 📈 Future demand for power could strain existing infrastructure.

タイムライン

  • 00:00:00 - 00:05:00

    The rapid evolution of AI has transformed it from a niche domain to a vital element of modern life, with a growing concern on how to power massive data centers that support AI. Although initial AI challenges revolved around computing power, current and future challenges lean toward securing sufficient energy for these increasing power demands, highlighting the urgency of energy resources for AI development.

  • 00:05:00 - 00:10:00

    The typical AI data centers consume electricity equivalent to small cities, with projections indicating they may account for 3-4% of global electricity consumption soon. Emerging digital trends, including AI and blockchain technologies, have significantly increased energy demands. As certain U.S. states face limitations in their power supplies, the energy infrastructure is questioned whether it can adequately support continued expansion without leading to shortages, costs escalation, or competition against consumer needs.

  • 00:10:00 - 00:15:57

    To tackle the energy challenges, nuclear energy has emerged as a potential solution, particularly through small modular reactors (SMRs) that could be deployed alongside data centers for independent energy generation. However, issues related to regulation and the long-term establishment of new nuclear plants also arise. Companies are exploring renewable energy options and innovative cooling methods while weighing the economic implications of AI's unyielding growth against societal energy needs.

マインドマップ

ビデオQ&A

  • Why is energy a critical factor for AI data centers?

    AI data centers require large amounts of energy to process and store data, and their demand is increasing rapidly.

  • What percentage of global electricity consumption do data centers currently account for?

    Data centers currently consume about 3 to 4% of global electricity consumption.

  • How do data centers cool their systems?

    Data centers use vast amounts of freshwater, estimated at about 300,000 gallons daily, for cooling.

  • What are small modular reactors (SMRs)?

    SMRs are proposed solutions for providing on-site nuclear power to data centers.

  • What environmental challenges do renewable energy sources face?

    Renewables like solar and wind are intermittent, relying on favorable weather conditions for power generation.

  • How might AI influence consumer energy availability?

    There are concerns that increased AI energy consumption may lead to power shortages for consumers.

  • What innovative concept is Microsoft experimenting with for data centers?

    Microsoft is exploring the use of underwater data centers to naturally cool AI processing chips.

  • How does the construction of new power plants compare to the speed of AI demand growth?

    Building new power plants is a slow and costly process, unable to keep up with the rapidly increasing demand from AI.

  • What role do tech giants play in future energy solutions for AI?

    Tech giants are backing startups focused on next-generation nuclear plants to help address power needs.

  • What impact has Sweden seen from providing power subsidies to data centers?

    Sweden found that data centers did not deliver as many jobs as expected, preferring to allocate power to more labor-intensive industries like steel manufacturing.

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  • 00:00:00
    [Music]
  • 00:00:00
    in just a short space of time AI has
  • 00:00:03
    rapidly transformed from a niche area of
  • 00:00:05
    computer science into a ubiquitous Force
  • 00:00:08
    reshaping Modern Life AI regulation
  • 00:00:11
    generative AI I just wait for the AI to
  • 00:00:13
    do it but to fuel AI it needs to process
  • 00:00:16
    data lots of data and that needs scores
  • 00:00:20
    of massive data centers across the world
  • 00:00:23
    construction projects are underway but
  • 00:00:25
    building data centers is only one part
  • 00:00:29
    where do we get the power to run them
  • 00:00:31
    this is the central question facing the
  • 00:00:33
    future of AI because these AI operations
  • 00:00:36
    need power and a lot of
  • 00:00:39
    it the main bottleneck for AI was
  • 00:00:42
    initially computing power were there
  • 00:00:44
    enough chips to process the data but now
  • 00:00:47
    energy is being seen as the critical
  • 00:00:49
    Factor how do we power the data
  • 00:00:52
    [Music]
  • 00:00:53
    sensus I think we would probably build
  • 00:00:56
    out bigger clusters than we currently
  • 00:01:00
    can if we could get the energy to do it
  • 00:01:03
    the term data center is becoming ever
  • 00:01:05
    more vague it largely describes a
  • 00:01:08
    building or section of a building that
  • 00:01:10
    is used to store Digital Data along with
  • 00:01:12
    the compute power needed to manage and
  • 00:01:14
    distribute this information this is
  • 00:01:16
    normally accessed remotely via some sort
  • 00:01:18
    of network the most obvious example of
  • 00:01:21
    this being the internet having large
  • 00:01:23
    racks of computers working 24 hours a
  • 00:01:25
    day to manage this data drives the large
  • 00:01:28
    power drawer power consumption increases
  • 00:01:31
    exponentially with AI data centers
  • 00:01:33
    firstly it requires a huge amount of
  • 00:01:35
    information to be stored fed through and
  • 00:01:37
    created when training the machine
  • 00:01:39
    learning
  • 00:01:40
    algorithms secondly the end AI tools
  • 00:01:43
    require massive computational resources
  • 00:01:46
    including large amounts of gpus to
  • 00:01:48
    process and analyze large data sets when
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    generating the end result large language
  • 00:01:53
    models like chat GPT and image
  • 00:01:56
    generation models like Dary and mid
  • 00:01:58
    Journey cannot be processed on devices
  • 00:02:00
    like laptops and phones they require
  • 00:02:03
    communication with cloud data centers
  • 00:02:05
    for every
  • 00:02:06
    transaction James Walker is the chief
  • 00:02:09
    executive officer and director of Nano
  • 00:02:11
    nuclear energy Inc a company looking to
  • 00:02:14
    provide Cutting Edge portable micro
  • 00:02:16
    reactors and other micro reactor
  • 00:02:18
    Technologies we've spoken to a number of
  • 00:02:21
    um people that are trying to build data
  • 00:02:23
    centers at the moment and some of the
  • 00:02:25
    projections they require will go up to
  • 00:02:28
    sort of 2 gaw and those are just the
  • 00:02:30
    conversations we're having I'm sure
  • 00:02:31
    there are other conversations that are
  • 00:02:33
    being had at the moment where they are
  • 00:02:35
    asking for a lot more than that
  • 00:02:37
    President Trump and his team Envision a
  • 00:02:38
    futur in AI development where the US
  • 00:02:41
    leads the world powering everything from
  • 00:02:43
    autonomous vehicles to military
  • 00:02:46
    AI but let's talk numbers a typical AI
  • 00:02:50
    data center can consume as much
  • 00:02:52
    electricity as a small City and when you
  • 00:02:54
    multiply that by hundreds or even
  • 00:02:57
    thousands of centers the demand starts
  • 00:02:59
    to look well pretty intense founder of
  • 00:03:02
    dig Economist Alex deis tells us how
  • 00:03:05
    these Digital Trends have accelerated
  • 00:03:07
    energy consumption during the previous
  • 00:03:10
    decade they were responsible for at
  • 00:03:12
    least 1% of global electricity
  • 00:03:14
    consumption and that percentag is like
  • 00:03:16
    increasing fast over the past few years
  • 00:03:19
    due to Trends such as digital currency
  • 00:03:21
    mining uh and also recently artificial
  • 00:03:24
    intelligence which is also extremely
  • 00:03:26
    energy hungry as well so you know in the
  • 00:03:29
    coming years it's already been estimated
  • 00:03:31
    that data centers are going to be
  • 00:03:32
    responsible for you know 3 to 4% of
  • 00:03:35
    global electricity consumption uh so
  • 00:03:38
    it's quite significant to put that into
  • 00:03:41
    perspective estimates suggest that data
  • 00:03:44
    centers are currently consuming more
  • 00:03:45
    than the total energy consumption of
  • 00:03:48
    France we spoke to technology analyst
  • 00:03:51
    Jack gold who tells us why this is such
  • 00:03:53
    a massive problem Elon Musk built the
  • 00:03:56
    new xai plant in Nashville I believe it
  • 00:03:59
    was we looked at the power required to
  • 00:04:02
    to run that thing and it's the
  • 00:04:04
    equivalent of about 55 or 60,000 homes
  • 00:04:07
    and where you going to get that from
  • 00:04:09
    most uh electrical generation at least
  • 00:04:12
    in in the US is already uh on the edge
  • 00:04:17
    that that is to say that you can't
  • 00:04:19
    really increase it by 10 or 15 or 20% it
  • 00:04:22
    the plants won't handle it and we
  • 00:04:24
    already have brown outs right in the
  • 00:04:25
    summer when it gets real hot and
  • 00:04:27
    everyone's got their air conditioning on
  • 00:04:28
    the energy grid is an interconnected
  • 00:04:30
    distribution network of power lines and
  • 00:04:32
    substations delivering current from the
  • 00:04:34
    source of generation to your house while
  • 00:04:37
    managing the voltage and amplitude to
  • 00:04:39
    power home electronics at a consistent
  • 00:04:41
    and accepted level modern power
  • 00:04:43
    generation is made up of multiple
  • 00:04:45
    different methods and Technologies
  • 00:04:47
    primarily including coal gas nuclear
  • 00:04:50
    solar and wind each of these offer
  • 00:04:53
    benefits and downsides often being
  • 00:04:55
    implemented for different use cases and
  • 00:04:58
    locations for example
  • 00:05:00
    solar works better in Sunny climates and
  • 00:05:02
    wind turbines are often placed offshore
  • 00:05:05
    where there is more uninterrupted wind
  • 00:05:08
    whether it's a few hundred megawatts or
  • 00:05:10
    multiple gws these generation systems
  • 00:05:13
    are only designed to be able to provide
  • 00:05:15
    a certain amount of power to Any Given
  • 00:05:17
    area when a higher amount of energy is
  • 00:05:20
    being consumed than expected it creates
  • 00:05:22
    a strain on the available resources and
  • 00:05:25
    can limit Supply to end users building
  • 00:05:27
    new plants can be slow costly and
  • 00:05:31
    complicated so the question arises does
  • 00:05:34
    the United States or any developed
  • 00:05:36
    country have the energy infrastructure
  • 00:05:39
    to support massive expansion it's true
  • 00:05:42
    some parts of the US are already
  • 00:05:44
    experiencing power shortages because of
  • 00:05:46
    data census States like California and
  • 00:05:48
    Arizona which have long struggled with
  • 00:05:50
    electricity demand are seeing increased
  • 00:05:53
    strain on their grids due to the rapid
  • 00:05:54
    expansion of data censors and while AI
  • 00:05:58
    is pushing us to The Cutting Edge ofch
  • 00:05:59
    technology it's also pushing our
  • 00:06:02
    existing energy grids to their limits
  • 00:06:04
    whenever a big energy consumer shows up
  • 00:06:06
    on your power grid whether it's Crypt
  • 00:06:08
    Miner or artificial intelligence based
  • 00:06:11
    data center they start consuming a whole
  • 00:06:14
    lot of power and the supply typically
  • 00:06:16
    doesn't just go up like it takes a long
  • 00:06:19
    time to increase your available power
  • 00:06:22
    supply the only thing that might happen
  • 00:06:24
    is that there are some redundant energy
  • 00:06:28
    sources that you can react activate some
  • 00:06:30
    old um coal based power plants that you
  • 00:06:33
    can maybe trigger to to provide the
  • 00:06:36
    power that you need but one of the
  • 00:06:38
    issues they're having is that they just
  • 00:06:40
    can't extend uh or increase their power
  • 00:06:42
    supply anymore they're already maxed out
  • 00:06:44
    so in that case the only consequence is
  • 00:06:47
    like okay they're just going to be
  • 00:06:48
    paying more for uh Power because this
  • 00:06:52
    are simple laws of supply and demand
  • 00:06:54
    Supply is the same demand goes up so
  • 00:06:56
    prices go up as AI accelerates it's Al
  • 00:06:59
    only make things more challenging some
  • 00:07:02
    US states are actively pushing to become
  • 00:07:04
    the next tech hubs for these AI data
  • 00:07:06
    centers because they have Surplus power
  • 00:07:09
    States like Wyoming Texas and North
  • 00:07:11
    Dakota have vast SES of untapped energy
  • 00:07:14
    potential Wyoming has been making big
  • 00:07:17
    moves with wind energy while Texas is
  • 00:07:19
    already home to some of the world's
  • 00:07:21
    largest data
  • 00:07:22
    centers these states have a unique
  • 00:07:25
    opportunity to attract datadriven
  • 00:07:27
    Industries but it's not just about
  • 00:07:29
    having extra power they'll need the
  • 00:07:31
    infrastructure to support it too of
  • 00:07:34
    course building new data centers isn't
  • 00:07:36
    all smooth saling the big cloud
  • 00:07:39
    providers haven't been able to build
  • 00:07:40
    data centers in areas where they would
  • 00:07:42
    like to because there isn't enough power
  • 00:07:43
    to power them nuclear is one way to do
  • 00:07:48
    that it is also risky in the sense that
  • 00:07:53
    it takes a long time for regulations to
  • 00:07:56
    be put in place to allow you to build a
  • 00:07:58
    new plant it can take a decade the
  • 00:08:01
    really big plants that we built in the
  • 00:08:02
    past take a long time to construct even
  • 00:08:05
    if once you get the regulation nuclear
  • 00:08:07
    seems like a good option for power
  • 00:08:09
    generation as it doesn't create
  • 00:08:10
    greenhouse gases however these plants
  • 00:08:13
    are complicated from both a legal and
  • 00:08:16
    construction standpoint as well as
  • 00:08:18
    highly expensive and timec consuming to
  • 00:08:20
    build not to mention aspects like
  • 00:08:22
    nuclear waste management and the expense
  • 00:08:24
    of eventual
  • 00:08:26
    decommissioning for example the new
  • 00:08:28
    hinley points SE site in the UK is
  • 00:08:31
    currently predicted to cost £46 billion
  • 00:08:34
    or $58 billion and not to be completed
  • 00:08:37
    until
  • 00:08:39
    2031 that's a 6-year delay on completion
  • 00:08:42
    and a staggering 28 billion over the
  • 00:08:45
    original £18 billion
  • 00:08:48
    budget renewable energy sources like
  • 00:08:50
    wind and solar are growing but they
  • 00:08:53
    can't provide the consistent energy data
  • 00:08:55
    centers demand Renewables like solar and
  • 00:08:58
    wind are heavily dependent dependent on
  • 00:08:59
    environmental conditions no wind means
  • 00:09:02
    the turbines can't spin too many clouds
  • 00:09:05
    and the solar panels become
  • 00:09:07
    inefficient this creates an
  • 00:09:08
    unpredictable and inconsistent method of
  • 00:09:11
    power generation energy storage
  • 00:09:13
    facilities are being widely developed to
  • 00:09:15
    account for this
  • 00:09:16
    inconsistency including lithium ion
  • 00:09:19
    battery plants and renewable more
  • 00:09:21
    eco-friendly Alternatives like gravity
  • 00:09:23
    batteries and hydro storage
  • 00:09:26
    facilities however these are systems
  • 00:09:28
    that need to rely on a considerable
  • 00:09:30
    amount of redundancy both in storage and
  • 00:09:33
    for extra generation in optimal
  • 00:09:35
    conditions which takes up more space and
  • 00:09:37
    resources to
  • 00:09:39
    achieve the problem with them is that
  • 00:09:41
    they are too intermittent the data
  • 00:09:43
    centers in AI need very little downtime
  • 00:09:45
    on an annual basis and you can obviously
  • 00:09:48
    supplement that by having a a very large
  • 00:09:50
    footprint dedicated to say solo with big
  • 00:09:52
    storage facilities but then you're
  • 00:09:54
    getting into quite a lot of expense and
  • 00:09:57
    you're still not drisking it and you
  • 00:09:58
    still need to have a lot of thought back
  • 00:09:59
    systems for when power is intermittent
  • 00:10:02
    and it is not the right season and
  • 00:10:03
    conditions aren't optimal and your
  • 00:10:05
    storage facility is being run down on
  • 00:10:08
    and and then you run the risk of the
  • 00:10:09
    entire operation shutting down and
  • 00:10:11
    needing to fall back on something like
  • 00:10:13
    diesel that's why Tech giants like
  • 00:10:15
    Google Amazon and Microsoft are backing
  • 00:10:17
    startups looking to provide the next
  • 00:10:19
    generation of nuclear power plants there
  • 00:10:22
    are a number of startup companies are
  • 00:10:23
    trying to build smaller nuke plants and
  • 00:10:25
    they think they can build it very
  • 00:10:26
    quickly the question becomes regulations
  • 00:10:29
    will the government allow it uh and and
  • 00:10:31
    that's to be seen now with the new Trump
  • 00:10:33
    Administration coming on board it's much
  • 00:10:36
    more likely they're going to be
  • 00:10:38
    favorably inclined to allow that kind of
  • 00:10:40
    technology in my opinion it's actually a
  • 00:10:42
    good idea smrs or small modular reactors
  • 00:10:46
    seem to be the magic answer to a lot of
  • 00:10:49
    these power
  • 00:10:50
    concerns companies like last energy and
  • 00:10:52
    Rolls-Royce are looking to provide a
  • 00:10:54
    bolt-on solution where data centers are
  • 00:10:57
    able to have their own personal new
  • 00:10:59
    nuclear power plant to directly generate
  • 00:11:01
    electricity for their needs the modular
  • 00:11:04
    aspect allows them to scale up as needed
  • 00:11:08
    there's also talk about implementing
  • 00:11:09
    these into areas like container ships to
  • 00:11:12
    address shipping emissions numbers are
  • 00:11:14
    currently being thrown around like the
  • 00:11:16
    ability for a ship to run for 30 years
  • 00:11:18
    without refueling they've essentially
  • 00:11:20
    done an assessment of all the available
  • 00:11:23
    Power Systems that are available to them
  • 00:11:24
    and and decided that it's really only
  • 00:11:26
    feasible that that amount of power can
  • 00:11:28
    be generated by nucle
  • 00:11:29
    it has additional benefits too like high
  • 00:11:31
    base load power you can put it wherever
  • 00:11:33
    you want but their energy projections
  • 00:11:34
    are huge like I think over the the next
  • 00:11:37
    20 years they're going to require
  • 00:11:40
    somewhere in the region about 30 to 40%
  • 00:11:42
    of um increase in power that the current
  • 00:11:45
    the United States is currently utilizing
  • 00:11:47
    although in development these smrs still
  • 00:11:50
    have a long way to go predominantly in
  • 00:11:52
    regulation after all safety is a major
  • 00:11:55
    concern with anything nuclear for the
  • 00:11:58
    time being we're seeing in companies
  • 00:11:59
    like Microsoft striking Direct Energy
  • 00:12:01
    deals with the likes of the 3M Island
  • 00:12:04
    nuclear facility this will provide them
  • 00:12:06
    power when it reopens properly in 2028
  • 00:12:10
    after suffering the worst nuclear
  • 00:12:11
    incident in US history in
  • 00:12:14
    1979 in the meantime there's the
  • 00:12:16
    question of how to balance energy usage
  • 00:12:19
    for consumers versus AI operations
  • 00:12:22
    initially the new data centers
  • 00:12:24
    envisioned by Stargate will need power
  • 00:12:27
    from somewhere they will come up with
  • 00:12:28
    interest
  • 00:12:29
    Solutions I think they're probably going
  • 00:12:31
    to use gas problem with that obviously
  • 00:12:33
    is that that's not feasible in all
  • 00:12:35
    locations to run gas to remote locations
  • 00:12:38
    um to do data centers and that kind of
  • 00:12:40
    thing it's would be the same problem if
  • 00:12:42
    you were to try to install transmission
  • 00:12:44
    lines from grids to to for your data
  • 00:12:46
    centers and a lot of the grids cannot
  • 00:12:48
    afford to lose that much power to a Data
  • 00:12:50
    Center and I think that happened to
  • 00:12:52
    Amazon very recently where what they
  • 00:12:54
    wanted to buy Off the Grid got shut down
  • 00:12:56
    essentially and the utility provider was
  • 00:12:58
    not allowed to provide them that power
  • 00:12:59
    because it was it was too significant a
  • 00:13:01
    portion of of what the utility company
  • 00:13:04
    was able to provide to the the local
  • 00:13:06
    population will people have enough power
  • 00:13:09
    in their homes or will we have to choose
  • 00:13:12
    between keeping the lights on and
  • 00:13:13
    powering the AI of the future but it's
  • 00:13:16
    not just power that data centers consume
  • 00:13:18
    at an alarming rate all the power
  • 00:13:20
    consumption creates Heat and the GPU
  • 00:13:23
    chips processing AI data needs to be
  • 00:13:25
    called that means fresh water and a lot
  • 00:13:28
    of of it an average data center is
  • 00:13:31
    estimated to use about 300,000 gallons
  • 00:13:34
    or 1.2 million L of water every day just
  • 00:13:38
    for cooling that's roughly the
  • 00:13:40
    equivalent to the water usage of 100,000
  • 00:13:43
    homes one Innovative idea is to build
  • 00:13:46
    underwater data centers and use the
  • 00:13:48
    oceans to call the AI processing chips
  • 00:13:51
    naturally Microsoft has already
  • 00:13:53
    experimented with an underwater data pod
  • 00:13:56
    in the waters of Scotland the container
  • 00:13:58
    behind me it fits on a it fits on a
  • 00:14:00
    trailer it fits on a cargo ship and it
  • 00:14:02
    allows us to actually build up this data
  • 00:14:05
    center to any size that we want one of
  • 00:14:07
    the upsides of the Stargate initiative
  • 00:14:09
    touted by President Trump is hundreds of
  • 00:14:12
    thousands of jobs that may be the case
  • 00:14:14
    in construction but data centers need a
  • 00:14:17
    few people to operate them once built
  • 00:14:19
    they are not a Powerhouse for employment
  • 00:14:21
    as Sweden discovered they gave power
  • 00:14:23
    subsidies to data centers for like 6
  • 00:14:26
    years 7even years since 2017 and they
  • 00:14:29
    top last year um then they realized like
  • 00:14:32
    okay we're not getting a lot of jobs
  • 00:14:33
    from that uh we would prefer to put this
  • 00:14:36
    power in steel manufacturing which is
  • 00:14:38
    more labor intensive there's no easy
  • 00:14:40
    answer here but one thing is certain
  • 00:14:43
    ai's power demand will only keep growing
  • 00:14:46
    can the US and the rest of the world
  • 00:14:48
    handle it it depends on what time
  • 00:14:50
    Horizon you're talking about I mean in
  • 00:14:52
    in one year things could be dramatically
  • 00:14:55
    worse than today in five years you would
  • 00:14:58
    expect that things have kind of you know
  • 00:15:01
    calmed down and in 10 years or that's so
  • 00:15:04
    far away
  • 00:15:06
    like the world could be looking
  • 00:15:08
    completely different by then indeed in
  • 00:15:11
    the short term president Trump's
  • 00:15:13
    Stargate initiative will be a massive
  • 00:15:15
    challenge for power generation in the US
  • 00:15:18
    even with some states having free energy
  • 00:15:19
    Supply capacity the overall strain on
  • 00:15:22
    the grid could push it to Breaking Point
  • 00:15:25
    with grid upgrades on the table the
  • 00:15:27
    future of AI powered America will depend
  • 00:15:29
    on how we Balance power technology and
  • 00:15:33
    the
  • 00:15:35
    environment remember to hit the
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    stay updated with our latest content and
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  • 00:15:43
    another one of our exciting videos
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