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AIeatstheworld
BenedictEvans
November2024
“Inmylifetime,I’veseentwodemonstrationsoftechthat
struckmeasrevolutionary:theGUIandChatGPT”
BillGates,March2023
BenedictEvans––November20242
*$150bnmarketcapinsummer1996.2024dollars.BenedictEvans––November20243
(Microsofttook20yearstoreacha$150bnvaluation*)
Source:ReutersInstitute
4
BenedictEvans––November2024
Hugeinterest
ChatGPTreachedmainstreamconsciousnesswithunprecedentedspeed
AwarenessanduseofChatGPTbycountry,May2024
HeardofbutnotusedUsed
70%
60%
50%
40%
30%
20%
10%
0%
DenmarkUSAUKArgentinaFranceJapan
Source:ReutersInstitute
5
BenedictEvans––November2024
Hugeinterest,limitedusesofar
Glasshalffull/halfempty-lotsofpeoplehavetriedit,butfewfoundituseful,sofar
UseofChatGPTbycountry,May2024
HeardofbutnotusedOnceortwice
Monthly
Weekly
Daily
70%
60%
50%
40%
30%
20%
10%
0%
DenmarkUSAUKArgentinaFranceJapan
Source:BainBenedictEvans––November20246
Hugeinterest,limitedusesofar
Enterprisesoftwaretakestime,andcomewithearlydisappointments
Development/Pilot60%
Production
50%
40%
30%
20%
10%
0%
EnterpriseusecaseadoptionratesforgenerativeAI,October2023&February2024
SoftwareCustomer
service
Marketing
Knowledgeworkers
OperationsIT
Finance
SalesHR
Legal
“Waitaminute?”
Aninvestmentsurgeaheadofaprovenmarketpromptstheobviousquestions
BenedictEvans––November20247
Welcometothehypecycle?
Italwaystakestimetoreachthe“PleacomofProductity”
BenedictEvans––November20248
BenedictEvans––November20249
Beyondthenoise-thenextplatformshift
Afterthewebandsmartphones,alltechgetsbuiltaroundgenerativeAI
SmartphonesCloud
PCsSQL
Web
Mainframes
GenerativeAI
OpenSource
BenedictEvans––November202410
Buteverythingiswideopen
Wedon’tknowtheanswers-we’restillworkingoutthequestions
Howfarwillthisscale?
Howdowedeploythis?
Howisthisuseful?
BenedictEvans––November202411
Howfarwillthisscale?
BenedictEvans––November202412
Foundationalquestion:willLLMskeepscaling?
Wegottheseresultsbyusingmoreandmoredataandcompute-willthatkeepworking?
Scalingwill
keepworking?
LLMsdo
‘everything’
Sofar:
Moredata+
morecompute=betterresults
Scalingwillslowdown?
‘Just’moresoftware
“Justgiveyourselfthe
optionthatwhat’sbeenhappeningforsixyearsnowisgoingtocontinue”
KevinScott,MicrosoftCTO
BenedictEvans––November202413
“Idon’tknowthatIwouldlookatthetrainingtrendsandextrapolatethree
ordersofmagnitudeaheadblindlyfromtoday”
SergeyBrin
Isitslowingdownrightnow?
Asuddenblip,orsomethingmore?
BenedictEvans––November202414
BenedictEvans––November202415
Scalingishard
Scalingthesemodelshaspracticalchallengesandwilltaketime,evenbeforethesciencequestions
Lead-times forGPUsandpower
Execution&engineering
Andwilltheresultsbe better?
Howmuchmoretrainingdataisthere?
BenedictEvans––November202416
We’regoingtofindout-ifonlyforFOMO
Anasymmetricbet-over-spendingcapexhaslessdownsidethanlosingthenextplatform?
“Wehavenomoat”
Source:SemiAnalysisBenedictEvans––November202417
InternalGooglememo,May2023…
BenedictEvans––November202418
“Themodelsthatareintrainingnow…arecloserincostto$1bn…andthenIthinkin2025and2026,we’llgetmoretowards$5bnor$10bn”
DarioAmodei,AnthropicCEO,April2024
BenedictEvans––November202419
“TheamountofcomputeneededtotrainLlama4willlikelybealmost10xmorethanwhatweusedtotrainLlama3-andfuturemodelswillcontinuetogrow
beyondthat”
MarkZuckerberg,July2024
Source:MetaBenedictEvans––November202420
TrainingMeta’sLlama3.1SOTAmodel
Unprecedentedcomputational(andcapital)intensity
54days
continuous
trainingtime
Largestclusters
arenowusing
100kGPUs
16,000Nvidia
H100GPUs
$30keach:
~$500m
Source:Nvidia,Intel
21
BenedictEvans––November2024
Ifthemoatiscapital…
Nvidiacan’tkeepupwithdemand-fornow(butsemiconductorsareacyclicalindustry)
Quarterlyrevenuebysegment($bn)
Nvidiadatacentre
Nvidiagaming&otherIntel
40
30
20
10
0
Mar-15Mar-16Mar-17Mar-18Mar-19Mar-20Mar-21Mar-22Mar-23Mar-24
Thecapexsurge
~$220bnofcapexatthebigfourin2024,up$90bnfrom2023,andallexpectmoregrowthin2025
Capex($bn)
Meta
AlphabetAWS*
Microsoft
250
200
150
100
50
0
2015201620172018201920202021202220232024e
Source:Companies,companyguidance.IncludescapitalleasesBenedictEvans––November202422
*Amazonforecasts$75bntotalcapex,‘themajority’forcloud
BenedictEvans––November2024
23
Source:Microsoft,Verizon.Includescapitalleases
Fromtheedgetothecentre
Rememberwhentelcosbuilttheinfrastructureandsoftwarehadnoassets?
Capex/sales(TTM)
Verizon
Microsoft
30%
25%
20%
15%
10%
5%
0%
Mar-10Mar-12Mar-14Mar-16Mar-18Mar-20Mar-22Mar-24
Herecomethebankers
Afloodofcapitalcreatesopportunitiesforcapitalists
BenedictEvans––November202424
BenedictEvans––November202425
Andeverythingisstillchangingunderourfeet
Allthescienceandengineeringquestionsarestillmoving
Efficiency
Trainingcost
Inferencecost
Footprint
Betterresults
Thisis
amazing!
(Nowwhat?)
Scaling!
Plusagents,
multimodal,etc
Thelasttimesoftwarehadmarginalcost
Theconsumerinternetmodelof‘launchfree,goviral,workoutrevenuelater’doesn’tworkwithtoday’sLLMcostmodel
Source:IBM
BenedictEvansNovember2024
BenedictEvans––November2024
27
Source:Companies,LMARENA
Hugeefficiencygains
Manymoremodels,manymorespecstomeasure,andallconvergingonacommodity
OpenAImodelquality(LMARENA)versuspricepermilliontokens(USD),November2024
1,400
O1Preview
GPT4o
1,300
GPT4oMini
GPT4Turbo
GPT4o
(May)
1,200
GPT4
1,100
1,000
$0$10$20$30$40
BenedictEvans––November2024
28
Source:Companies,LMARENA
The‘feeds&speeds’phaseofthemarket
Manymoremodels,manymorespecstomeasure,andallconvergingonacommodity
Modelquality(LMARENA)versuspricepermilliontokens(USD),November2024
OpenAI
AnthropicGoogle
Meta
1,400
1,300
1,200
1,100
1,000
$0$10$20$30$40
BenedictEvans––November2024
29
Source:Companies,LMARENA
Betterorcheaper-plusopensource
Best,or90%asgoodat5%oftheprice
Modelquality(LMARENA)versuspricepermilliontokens(USD),November2024
OpenAI
AnthropicGoogle
Meta
1,400
1,300
1,200
1,100
1,000
$0$10$20$30$40
“Everyoneintechisgivingsomeoneelse’sbusiness
modelawayforfree”
Meta’sopensource
Turnmodelsintocommodityinfrastructure!
BenedictEvans––November202430
“Everyoneintechisgivingsomeoneelse’sbusiness
modelawayforfree”
Apple’sedgecomputing
TurnmodelsintojustanotherAPIcall!
BenedictEvans––November202431
BenedictEvans––November202432
Thegreatmodelboomof2023-2024
Better,faster,cheaper-picktwo
Bestmodel
Bestmodelthatfitson
theedge
Andmore
andbetter
everyfew
weeks
Bestcheapermodel
BenedictEvans––November202433
“Ifanythinginthislifeiscertain,if
historyhastaughtusanything,itisthatyoucankillanyone.”
MichaelCorleone
BenedictEvans––November202434
“Ifanythinginthislifeiscertain,if
historyhastaughtusanything,itisthatyoucankillanyone.”
Semiconductorsarecyclical
Commoditytechgoestomarginalcost
BenedictEvans––November202435
“Ifanythinginthislifeiscertain,if
historyhastaughtusanything,itisthatyoucankillanyone.”
Semiconductorsarecyclical
CommoditytechgoestomarginalcostAndeverynewtechproducesabubble
BenedictEvans––November202436
Howisthisuseful?
2013:howisMachineLearninguseful?
Source:ImagenetBenedictEvans––November202437
“That’sclever…butsowhat?”
BenedictEvans––November202438
2013:howisMachineLearninguseful?What’stherightlevelofabstractiontounderstandthis?
Image
recognitionworksnow!
Thisis
pattern
recognition
Whatcanwe
turninto
pattern
recognition?
Andsodolotsofother unsolved problems
2023:whyisGenerative
MachineLearninguseful?
“That’sclever…butsowhat?”
BenedictEvans––November202439
Andwhatcan’titdo?
‘Answerthisquestion’
‘Whatdoanswerstoquestionslikethistendtolooklike?’
‘Whatwouldtheaveragepersonprobablysay?’
BenedictEvans––November202440
BenedictEvans––November2024
41
Source:DeloitteConsumerDigitalTrends,UK
Errorawarenessisstilllimited
Andtheapparentfluencyoftextoutputconcealsthenatureofthemodelbehind
2023
2024
50%
40%
30%
20%
10%
0%
Thosewhoagreethat“GenerativeAIalwaysproducesfactuallyaccurateanswers”
AwareofGenAIUsedGenAI
Thosewhoagreethat“GenerativeAIresponsesareunbiased”
AwareofGenAIUsedGenAI
BenedictEvans––November202442
Handling‘errors’inaprobabilisticsystem
Isthisascienceproblem,orausecaseanddesignproblem?
Productdesign
Abstractthe
Use-cases
Makethe
modelsbetter!
(Well,duh)
Arethere‘wrong’
answers?
promptandthe
output
Areerrorseasyto
see?
Canyouusethisforgeneralsearch?
Doyouwantnavigation,orjusttheanswer?Doesitmatterifit’swrong?Canyoutell?
Howmuchpreprocessingandfilteringdoesthisneed?
(Alphabethad$56bnofFCFinthelast12months,soit’sworthfindingout)
BenedictEvans––November202443
BenedictEvans––November202444
2024:howareLLMsuseful?What’stherightlevelofabstractiontounderstandthis?
Synthesisandsummary?
Reasoning?(Notyet)
Itautomatesa
broadclassof
newthings
Yes,butwhat?
‘Predictthenexttoken!’
BenedictEvans––November202445
AIgivesyouinfiniteinterns
BenedictEvans––November202446
Canwepredicttheeffectsfromfirstprinciples?
Useful-butimaginetryingtodothisexercisefor‘theinternet’in1995
Content?
Internetmadedistribution‘free’
Costarbitrage?
Labourversus
automation
-doLLMsmake
(some)creation
‘free’?
Language?
Howdoesseamless
translationchange
theweb?Science?
Popculture?
Canwepredicttheeffectstop-down?
Imaginedoingthisfor‘theinternet’in1995Or‘mobileinternet’in2005
Source:TheLaborImpactofGenerativeAIonFirmValues,EisfeldtetalBenedictEvans––November202447
Whatwouldyouhavegotright,andwrong?
BenedictEvans––November202448
“ThejuryisstilloutoutonwhetherCopilotisusefulenoughtojustifythecost”
ChevronCIO,July2024
Doyouhavethatusecase?
"VisiCalctook20hoursofworkforsomepeopleandturneditoutin15minutes”-DanBricklin
Source:ComputerHistoryMuseumBenedictEvans––November202449
Now,imaginealawyerseeingit:”that’sveryclever,butIdon’thavethatusecase”
BenedictEvans––November202450
“Ihavethatusecase!”
Immediately,obviouslyusefulforsomeprofessionsandsomeworkflows…
Marketing
Errorseasytosee
No‘wrong’
answers
Customersupport
(Butusewithcaution)
Coding
Earlyadopters
Errorseasytosee
20-30%efficiency
gains
BenedictEvans––November2024
51
Source:Blick,Blandin&Deming
“Ihavethatusecase!”
Glasshalf-emptyorglasshalf-full?10%adoptionalreadyisgreat-butwhydo90%notfindituseful?
Employedpeople,“DoyouusegenerativeAI?”responsebyoccupation,USA,August2024
WeeklyactiveusersDailyactiveusers
50%
40%
30%
20%
10%
0%
Arts/media
Science/engineering
SalesHealthOffice/admin
LegalServices
Bluecollar
TOTALM'gmentSoftwareBusiness/Educationfinance
BenedictEvans––November202452
“You’vegottostartwiththecustomerexperienceandworkbackwardstothetechnology”
SteveJobs
BenedictEvans––November202453
Howdowedeploythis?
BenedictEvans––November202454
Howdowealwaysdeploynewtechnologies?
Standardpatternsfordeployingandusingnewtechnologies
Redefinemarkets
Sometimes
(Toughto
Absorb
Makeitafeature
Innovate
Newideas,
newproducts
Boltitontothe
existingbusiness
Startupsuseitto
predict)
unbundle
BenedictEvans––November202455
IsthisanAccenturequestion?
OraBain/BCG/McKinseyquestion?ACIOquestion?CFO?CEO?
Toplineorbottomlineinnovation?
Source:Accenture
56
BenedictEvans––November2024
“What’sourAIstrategy?”
AccenturenowclaimsmoregenerativeAIrevenuethanOpenAI-butalmostallofthisisstillpilots
1,250
1,000
750
500
250
0
Accenturereportedquarterly‘generativeAIbookings’($m)
Feb-23May-23Aug-23Nov-23Feb-24May-24Aug-24
BenedictEvans––November202457
Standardtechprocurementquestions
Howdoenterprisesalwaysdeploynewtechnology?Whatquestionsdotheyalwaysask?
Buyversus
build?
Whichusecasesfirst?
Whosebudget?
Opexor
capex?
What’sthe
EPSimpact?
Singlevendorormulti-vendor?
BenedictEvans––November2024
58
Source:GoldmanSachsCIOSurvey
Thefuturecantakealongtime
Cloudisoldandboring-butstillonly30%ofworkflows
Enterpriseworkloadsinpubliccloud
Expectedin3yearsToday
60%
50%
40%
30%
20%
10%
0%
Dec-14Dec-15Dec-16Dec-17Dec-18Dec-19Dec-20Dec-21Mar-23Jun-24
BenedictEvans––November2024
59
Source:MorganStanleyCIOSurvey
Thefuturecantakealongtime
AquarterofCIOshavelaunchedsomething-buthalfdon’tplananythingforatleastayear
CIOexpectedtimingforfirstLLMprojectsinproduction,August2024
2023H12024H22024H12025H220252026orlater
0%25%50%75%100%
Source:Productiv
60
BenedictEvans––November2024
Buteventually,newplatformsmeannewtools
SaaSenabledahugeexpansioninautomation,unbundlingworkflowsoutofSAP,Exceloremail
AveragenumberofSaaSappsusedperdepartment,largeenterprises
2021
2022
2023
100
75
50
25
0
OperationsInformationTechnologyEngineeringProductSalesMarketing
BenedictEvans––November202461
“Therearetwowaystomakemoney.Youcanbundle,oryoucanunbundle”
JimBarksdale
BenedictEvans––November202462
UnlesstheLLMcandothewholething?
Ifthemodelsgetgoodenough,maybewewillneedmuchlesssoftware?
Scalingwillkeepworking?LLMscando ‘everything’
Doesthiskeep
scaling?
Scalingwillslowdown?
‘Just’moresoftware
BenedictEvans––November202463
AreLLMsInfra?APIs?Platforms?ThenewUX?
WillweuselogicalsystemstocontrolLLMs,oruseLLMstocontrollogicalsystems?
LLMsarethe
entireplatform
Everything
elseisanAPI?
Doesthiskeep
scaling?
Newfeatures,
newproductsLLMsarejustanotherAPI?
BenedictEvans––November202464
“It'snotthecustomer'sjobtoknowwhattheywant”
SteveJobs
BenedictEvans––November202465
DoLLMsbreakouruse-case-discoverymodels?
Howdoentrepreneursinventnewusecasesandformsofself-expressionifeverythinghasthesameUX?
LLMsasUX
Usersforcedto
invent&imagine
DoLLMsdothewhole
thing?
Classicalsoftware
Startupsinvent&
theusecases
imaginetheuse
cases
Source:YCombinator
66
BenedictEvans––November2024
Newusecases,newunbundlers
HowmanyAIstartuparereallyabetonunbundlingbothOracleandChatGPT?
YCombinatorstartupsbyfield
OtherAI
500
400
300
200
100
0
W2015W2016W2017W2018W2019W2020W2021W2022W2023W2024
Source:AppleBenedictEvans––November202467
Sometimes,itreallyisjustafeature
“AIiswhateverdoesn’tworkyet”
BenedictEvans––November202468
‘AI’tendstoturninto‘automatic’
Astechnologymatures,itdisappears
AI!
‘Auto’
Justsoftware
‘Smart’
BenedictEvans––November202469
ThreemodelsforLLMproduct?
HowfardoLLMsenablenewfeaturesandhowmuchdotheyjustreplaceappsentirely?
Newfeatures
Newtools
Read50010ksandtellme…
Generalised
AI?
Buymeahouse
Rewritemyemail
Summarisethe
reviews
“Infromthreetoeight
yearswewillhavea
machinewiththegeneralintelligenceofanaveragehumanbeing”
MarvinMinsky,1970
BenedictEvans––November202470
“‘Intelligence’iswhatevermachineshaven'tdoneyet”
LarryTesler,1970
BenedictEvans––November202471
Perhaps,allAIquestionshaveoneoftwoanswers
Willthisjustbelikeeverythingelse?No-onereallyknows
Answer:
“Itwillworklikeeveryotherplatformshift”
Answer:
“No-oneknows”
Insertyour
questionhere…
BenedictEvans––November202472
Meanwhile…
BenedictEvans––November202473
Fromvisiontodeployment
What’salreadybig,what’sbeingbuilt,andwhatcomesnext?
Ideasfrom2010
SaaS,automation,collaboration,workflow…
Ideasfrom2000
Ideasfor2030
GenerativeAI
“Maybepeople
willbuythings
online”
Source:Apple,Meta
74
BenedictEvans––November2024
Metaisstillmetaversing
MetastillbelievesinVR&AR-it’sinvestedatleast$60bnsofar,and$17.4bninthelast12months
Quarterlyinvestment($bn)
5
4
3
2
1
0
AppleR&D,8quartersbeforeiPhonelaunchMetaRealityLabsoperatingloss,last8quarters
E-commerceisstillthere
Themostboringchartintech,withabriefexception-butthisistrillionsofdollarsofglobalvalue
E-commerceas%USretail
Addressableretail*Retail
25%
20%
15%
10%
5%
0%
Mar-00Mar-05Mar-10Mar-15Mar-20Jun-24
Source:USCensus.SeasonallyadjustedBenedictEvans––November202475
*Excludingcars,carparts&fuel
Source:ONSBenedictEvans––November202476
‘Backtothetrendline’
But40%ofUKnon-foodisnowonline
E-commerceas%UKretail
Shareofnon-foodShareoftotal
Shareoffood
70%
60%
50%
40%
30%
20%
10%
0%
201020112012201320142015201620172018201920202021202220232024
Newchannels,newwinners
Sheinisontracktobethelargestpure-playapparelretaileronearth
60
50
40
30
20
10
0
Largestglobalpure-playapparelretailersbyrevenue,2023($bn)
TJX*SheinInditexH&MUNIQLOGaplululemonPVHNextRalphVictoria'sAmerican
athleticaLaurenSecretEagle
Source:Companies,pressreportsofGMVforShein.BenedictEvans––November202477
*TJXreports$54bnincluding$9bnofhomegoods.NBAmazonhasest.$60-80bnapparelsales
Source:Shopify
78
BenedictEvans––November2024
UnbundlingAmazon
Shopifypowered$270bnofe-commerceinthelast12months-35%thesizeofAmazonGMV
ShopifyGMV,TTM($bn)
300
250
200
150
100
50
0
Mar-15Mar-16Mar-17Mar-18Mar-19Mar-20Mar-21Mar-22Mar-23Mar-24
Source:Instacart
79
BenedictEvans––November2024
Breakinghabits
Thepandemicdroveastepchangeforgrocery,andInstacartnowhasa$33bnrun-rate
InstacartGTV($bn)
10.0
7.5
5.0
2.5
0.0
Mar-18Mar-19Mar-20Mar-21Mar-22Mar-23Mar-24
Source:Instacart
80
BenedictEvans––November2024
Adeliverybusiness,ora$1bnadbusiness?
AquarterofInstacartrevenueandalmostalltheFCFcomesfromadvertising
Instacartrevenue($m)
TransactionAds&Other
1,000
750
500
250
0
Mar-19Mar-20Mar-21Mar-22Mar-23Mar-24
Source:Amazon
81
BenedictEvans––November2024
Theretailmediaboom
AmazonprobablyhasmorecashflowfromadvertisingthanfromretailorAWS
Amazonadvertisingrevenue,TTM($bn)
·'Other,predominantlyads'60Ads
50
40
30
20
10
0
Mar-17Mar-18Mar-19Mar-20Mar-21Mar-22Mar-23Mar-24
Softwareeatsmedia
Newchannels,newmodels,newbundles
Revenue,TTM($bn)
100
75
50
25
0
NetflixTiktokParamountSpotifyFoxNewsCorp
DisneyYouTubeComcast*Warner
Discovery
Source:Companies,pressreportsforTikTokBenedictEvans––November202482
*Mediadivisiononly
Source:Ampere,companies
83
BenedictEvans––November2024
Bigfish,littlefis
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