2023年+AI+的现状:生成式+AI+的突破之年.pdf
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1、As organizations rapidly deploy generative AI tools,survey respondents expect significant effects on their industries and workforces.The state of AI in 2023:Generative AIs breakout yearAugust 2023The state of AI in 2023:Generative AIs breakout yearThe latest annual McKinsey Global Survey on the curr
2、ent state of AI confirms the explosive growth of generative AI (gen AI)tools.Less than a year after many of these tools debuted,one-third of our survey respondents say their organizations are using gen AI regularly in at least one business function.Amid recent advances,AI has risen from a topic rele
3、gated to tech employees to a focus of company leaders:nearly one-quarter of surveyed C-suite executives say they are personally using gen AI tools for work,and more than one-quarter of respondents from companies using AI say gen AI is already on their boards agendas.Whats more,40 percent of responde
4、nts say their organizations will increase their investment in AI overall because of advances in gen AI.The findings show that these are still early days for managing gen AIrelated risks,with less than half of respondents saying their organizations are mitigating even the risk they consider most rele
5、vant:inaccuracy.The organizations that have already embedded AI capabilities have been the first to explore gen AIs potential,and those seeing the most value from more traditional AI capabilitiesa group we call AI high performersare already outpacing others in their adoption of gen AI tools.1The exp
6、ected business disruption from gen AI is significant,and respondents predict meaningful changes to their workforces.They anticipate workforce cuts in certain areas and large reskilling efforts to address shifting talent needs.Yet while the use of gen AI might spur the adoption of other AI tools,we s
7、ee few meaningful increases in organizations adoption of these technologies.The percent of organizations adopting any AI tools has held steady since 2022,and adoption remains concentrated within a small number of business functions.1 We define AI high performers as organizations that,according to re
8、spondents,attribute at least 20 percent of their EBIT to AI adoption.1The state of AI in 2023:Generative AIs breakout yearThe findings from the surveywhich was in the field in mid-April 2023show that,despite gen AIs nascent public availability,experimentation with the tools is already relatively com
9、mon,and respondents expect the new capabilities to transform their industries.Gen AI has captured interest across the business population:individuals across regions,industries,and seniority levels are using gen AI for work and outside of work.Seventy-nine percent of all respondents say theyve had at
10、 least some exposure to gen AI,either for work or outside of work,and 22percent say they are regularly using it in their own work.While reported use is quite similar across seniority levels,it is highest among respondents working in the technology sector and those in North America.Its early days sti
11、ll,but use of gen AI is already widespread2The state of AI in 2023:Generative AIs breakout yearRegularly usefor workRegularly use for workand outside of workRegularly useoutside of workHave tried atleast onceNoexposureDont knowAsiaPacifcDeveloping marketsEuropeGreater ChinaNorth AmericaAdvanced indu
12、striesBusiness,legal,and professional servicesConsumer goods/retailEnergy and materialsFinancial servicesHealthcare,pharma,and medical productsTechnology,media,and telecomC-suite executivesSenior managersMidlevel managersBorn in 1964 or earlierBorn 196580Born 198196MenWomen49109618111410221923151419
13、19201118133634454638336335776861452434734741405041443715212619141591116118161019161312151817178107161416181519234424235131620675171822181711933303736211824812194316637461615By ofce locationBy industryBy job titleBy ageBy gender identity18Reported exposure to generative AI tools,%of respondentsNote:F
14、igures may not sum to 100%,because of rounding.In AsiaPacifc,n=164;in Europe,n=515;in North America,n=392;in Greater China(includes Hong Kong and Taiwan),n=337;and in developing markets(includes India,Latin America,and Middle East and North Africa),n=276.For advanced industries(includes automotive a
15、nd assembly,aerospace and defense,advanced electronics,and semiconductors),n=96;for business,legal,and professional services,n=215;for consumer goods and retail,n=128;for energy and materials,n=96;for fnancial services,n=248;for healthcare,pharma,and medical products,n=130;and for technology,media,a
16、nd telecom,n=244.For C-suite respondents,n=541;for senior managers,n=437;and for middle managers,n=339.For respondents born in 1964 or earlier,n=143;for respondents born between 1965 and 1980,n=268;and for respondents born between 1981 and 1996,n=80.Age details were not available for all respondents
17、.For respondents identifying as men,n=1,025;for respondents identifying as women,n=156.The survey sample also included respondents who identifed as“nonbinary”or“other”but not a large enough number to be statistically meaningful.Source:McKinsey Global Survey on AI,1,684 participants at all levels of
18、the organization,April 1121,2023Respondents across regions,industries,and seniority levels say they are already using generative AI tools.McKinsey&CompanyOrganizations,too,are now commonly using gen AI.One-third of all respondents say their organizations are already regularly using generative AI in
19、at least one functionmeaning that 60percent of organizations with reported AI adoption are using gen AI.Whats more,40 percent of those reporting AI adoption at their organizations say their companies expect to invest more in AI overall thanks to generative AI,and 28 percent say generative AI use is
20、already on their boards agenda.The most commonly reported business functions using these newer tools are the same as those in which AI use is most common overall:marketing and sales,product and service development,and service operations,such as customer care and back-office support.This suggests tha
21、t organizations are pursuing these new tools where the most value is.In our previous research,these three areas,along with software engineering,showed the potential to deliver about 75 percent of the total annual value from generative AI use cases.3The state of AI in 2023:Generative AIs breakout yea
22、rIn these early days,expectations for gen AIs impact are high:three-quarters of all respondents expect gen AI to cause significant or disruptive change in the nature of their industrys competition in the next three years.Survey respondents working in the technology and financial-services industries
23、are the most likely to expect disruptive change from gen AI.Our previous research shows that,while all industries are indeed likely to see some degree of disruption,the level of impact is likely to vary.2 Industries relying most heavily on knowledge work are likely to see more disruptionand potentia
24、lly reap more value.While our estimates suggest that tech companies,unsurprisingly,are poised to see the highest impact from gen AIadding value equivalent to as much as 9 percent of global industry revenueknowledge-based industries such as banking(up to 5 percent),pharmaceuticals and medical product
25、s(also up to 5 percent),and education(up to 4 percent)could experience significant effects as well.By contrast,manufacturing-based industries,such as aerospace,automotives,and advanced electronics,could experience less disruptive effects.This stands in contrast to the impact of previous technology w
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