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1、February 2023ReportRekindling US productivity for a new eraRegaining historical rates of productivity growth would add$10 trillion to US GDP a boost needed to confront workforce shortages,debt,inflation,and the energy transition.AuthorsCharles Atkins,San FranciscoOlivia White,San FranciscoAsutosh Pa
2、dhi,ChicagoKweilin Ellingrud,MinneapolisAnu Madgavkar,New JerseyMichael Neary,San FranciscoEditorMark Staples,New YorkMcKinsey Global InstituteThe McKinsey Global Institute was established in 1990.Our mission is to provide a fact base to aid decision making on the economic and business issues most c
3、ritical to the worlds companies and policy leaders.We benefit from the full range of McKinseys regional,sectoral,and functional knowledge,skills,and expertise,but editorial direction and decisions are solely the responsibility of MGI directors and partners.Our research is currently grouped into five
4、 major themes:Productivity and prosperity:Creating and harnessing the worlds assets most productively Resources of the world:Building,powering,and feeding the world sustainably Human potential:Maximizing and achieving the potential of human talent Global connections:Exploring how flows of goods,peop
5、le,and ideas shape economies Technologies and markets of the future:Discussing the next big arenas of value and competitionWe aim for independent and fact-based research.None of our work is commissioned or funded by any business,government,or other institution;we share our results publicly free of c
6、harge;and we are entirely funded by the partners of McKinsey.While we engage multiple distinguished external advisers to contribute to our work,the analyses presented in our publications are MGIs alone,and any errors are our own.You can find out more about MGI and our research at Directors MGI Partn
7、ersSven Smit(chair)Michael ChuiChris Bradley Mekala KrishnanKweilin Ellingrud Anu MadgavkarMarco Piccitto Jan MischkeOlivia White Jeongmin SeongJonathan Woetzel Tilman TackeContentsAt a glance vIntroduction 1US productivity is a story of haves and have-nots 4Looming challenges make productivity grow
8、th an imperative 14Achieving and equalizing productivity gains will require concerted action 18Acknowledgments 22iiiMcKinsey Global Institute|Rekindling US productivity for a new era Boosting US productivity represents a$10 trillion opportunity.Thats the potential cumulative increase in US GDP betwe
9、en now and 2030equivalent to$15,000 per householdthat could result from regaining the long-term productivity growth rate of 2.2 percent annually(exhibit).Looming challenges make productivity growth an imperative.Workforce shortages,debt,inflation,and the cost of the energy transition are powerful he
10、adwinds.All will be easier to confront with higher productivity.Since 2005,US labor productivity has grown at a lackluster 1.4 percent.At the same time,real wages have slowed and workforce participation has declined.Averages obscure important variation across states,cities,sectors,and firms.Some hav
11、e become much more productive,while others are increasingly falling behindand in many sectors the most productive firms are fivefold more productive(or more)than the least productive.Achieving and equalizing productivity gains will require concerted action.Priorities include unlocking the power of e
12、xisting technology,investing in intangibles,improving workforce reskilling and labor mobility,and implementing place-based approaches tuned to specific geographies.At a glanceSee exhibit next pagevMcKinsey Global Institute|Rekindling US productivity for a new eraFocusing on long-term productivity gr
13、owth could add$10 trillion in output,as shown by some states,cities,and sectors maintaining growth near 2.2 percent.McKinsey&CompanyUS GDP,real dollars,2021,$trillion152025301.4%productivity growth(200519 average)2.2%productivity growth(19482019 average)200520212030Two projectionsGap between the 2 p
14、rojections is equivalent to:$10 trillionCumulative GDP added over 202130$15,000Additional output per household in 2030North DakotaWashingtonCaliforniaSan FranciscoSan JoseSeattleInformationMiningWholesale tradeFastest-growing sectors,200519Fastest-growing states and cities,200719ExhibitviMcKinsey Gl
15、obal Institute|Rekindling US productivity for a new eraLabor productivity growth1 has been the engine of US economic power and prosperity since WorldWar II,adding 2.2 percent annually to economic growth and contributing mightily to a 1.7 percent annual gain in real incomes.Looking to the future,simi
16、lar levels of productivity growth would help the country confront looming challenges,including workforce shortages,debt,inflation,and the cost of the energy transition.(For background on productivity,see sidebar“More with less:Aproductivity primer.”)But if the US economy were a car,the engine has be
17、en sputtering for a while.In the past 15 years,productivity growth has averaged just 1.4 percent,even as incredible advances in digital technology put a supercomputer in every pocket.This state of affairs is well known.It is also not confined to the United States.Most OECD countries have seen a drop
18、 in labor productivity growth since 2005.2In the US economy,theres also a problem with the transmission.The link between productivity growth and real incomes has weakened.In the postwar boom from 194870,incomes grew at 3.0 percent annually,3 while productivity growth averaged 2.8 percent.More recent
19、ly,real incomes have grown at 0.7 percent,well below the 1.4 percent gains in productivity(Exhibit 1).Worse,not everyone has shared equally in the relatively low gains in income,and labor participation rates have fallen from 67 percent in the 1990s to 63 percent in 2019,4 as millions have become dis
20、couraged about work.5Returning US productivity to its long-term trend of 2.2 percent annual growth would add$10 trillion in cumulative GDP over the next ten years.This is equivalent to every US household seeing a cumulative income gain of$15,000 over that period.Other things being equal,it would als
21、o boost stagnating median incomes and encourage labor participation.6Its an aspirational prospect and one with historical precedent.In 1995,five-year productivity growth averaged 1.6 percent,only for productivity to jump to 3 percent the following decade.Recent technology advances,including in AI an
22、d biotechnology as well as productivity spikes since the global COVID-19 pandemic,raised hopes(albeit briefly)that perhaps another boost may lie ahead.1 In this study,we define labor productivity as the following:LP=the output of goods and services/working hours.Output is defined as the real value-a
23、dded output for the relevant sectors and states.For growth comparisons,output measures are deflated using the appropriate sector-or state-level deflators.An extensive literature exists that documents the shortcomings of such deflators in accounting for quality improvements in goods and services(see,
24、for example,David M.Byrne,John G.Fernald,and Marshall B.Reinsdorf,Does the United States have a productivity slowdown or a measurement problem?,Federal Reserve Bank of San Francisco,working paper 2016-03,April 2016).Efforts to account for such errors find that they do not explain the aggregate slowd
25、own in productivity since 2005 in the United States.Throughout this research,we calculate labor productivity on a five-year rolling average.For longer time period comparisons,we compare the level of labor productivity indexes versus the prior period.Due to data limitations,we have occasionally used
26、proxies or assumptions for the numerator or denominator in labor productivity based on data availability.For national,sector-level,or state-level estimates,we use output,hours worked,and productivity data directly from the US Bureau of Labor Statistics(BLS).For sector data at a state level,we estima
27、te state-level productivity using state-level GDP by sector data from the US Bureau of Economic Analysis(BEA)and employment by sector from the US Census Bureau.For city-level estimates,we utilize GDP by metropolitan statistical area estimates from the BEA and employment-level estimates from the Cens
28、us Bureau.2 Robert J.Gordon,Why has economic growth slowed when innovation appears to be accelerating?,National Bureau of Economic Research,working paper 24554,April 2018;David Adler and Laurence B.Siegel,The Productivity Puzzle:Restoring Economic Dynamism,New York,NY:CFA Institute Research Foundati
29、on Publications,2019.3 Real compensation includes employer costs for wages,salaries,and employee benefits;deflated against the consumer price index,which is heavily influenced by rising housing and healthcare costs,to estimate worker purchasing power.4 Labor participation rates fell to 63 percent fr
30、om 2005 to 2019.5 Working Economics Blog,“Wages for the top 1%skyrocketed 160%since 1979 while the share of wages for the bottom 90%shrunk,”blog entry by Jori Kandra and Lawrence Mishel,December 1,2020.6 Economic Report of the President,White House and Council of Economic Advisors,February 2015.Intr
31、oduction1McKinsey Global Institute|Rekindling US productivity for a new eraSidebar1 One productivity measure,total factor productivity(TFP),accounts for both capital and labor.Many of the trends and challenges that weve observed with labor productivity hold true when measured with TFP.2 Anna M.Stans
32、bury and Lawrence H.Summers,Productivity and pay:Is the link broken?,National Bureau of Economic Research,working paper 24165,December 2017;Grant E.Hayes,James M.Jedras,Edward Lazear,and Kathryn L.Shaw,Productivity and wages:What was the productivity-wage link in the digital revolution of the past,a
33、nd what might occur in the AI revolution of the future?,National Bureau of Economic Research,working paper 30734,December 2022.3 Open Vault Blog,“Nonfarm payrolls:Why farmers arent included in jobs data,”blog entry by Maria Hasenstab,July 3,2019.4 See,for example,David M.Byrne,John G.Fernald,and Mar
34、shall B.Reinsdorf,Does the United States have a productivity slowdown or a measurement problem?,Federal Reserve Bank of San Francisco,working paper 2016-03,April 2016.More with less:A productivity primerProductivity is the measure of output relative to input.In macroeconomic terms,its a measure of t
35、he value of the goods and services produced,divided by the amount of labor,capital,and other resources required for its production.For this paper,we focus on labor productivity,which is defined as the economic output per hour worked.1 This is a commonly used productivity measure,and is of interest s
36、ince it is the most consequential determinant of long-run economic growth.Rising prosperitya higher standard of livingcan come only from productivity growth.And in the long run,labor productivity and real wages are closely,if not perfectly,linked.2 Productivity growth will also be essential to addre
37、ss several looming challenges.As the US population ages and the ratio of nonworkers to workers grows,productivity growth in the remaining workforce will be essential to sustain output and meet the needs of the population.Productivity will also ameliorate inflation,by reducing the need for supply-con
38、strained labor,capital,and raw materials to deliver a given output.And by delivering a larger economic base,productivity will increase the affordability of the coming energy transition as well as growing debt and entitlements.Measures of productivity typically focus on the nonfarm business sector to
39、 exclude government and farming activities3 for which reliable productivity data is unavailable.The nonfarm business sector represented 87 percent of US GDP in 2021.It encompasses 18 sectors,spread across services(78 percent)such as retail trade and goods production(22 percent).To compare across per
40、iods,economists adjust the value of output to account for changes in prices and quality.Any analysis of productivity is susceptible to errors or blind spots.In the numerator,rapid technological progress can complicate measurement of output across time periods by making it more challenging to account
41、 for changes in the quality of goods and services.In addition,reliable measures of quality can be challenging to construct in areas such as healthcare where services,prices,and health outcomes are often disconnected.In the denominator,too,there are complications.For instance,informal working hours a
42、re often not captured,which can impede measurement in sectors with high share of informal labor such as construction.This esoteric topic has taken on new urgency,given the paradoxical productivity slowdown that has occurred during a boom era in technology innovation over the past 15 years.Some have
43、argued that this paradox reflects measurement error,and with more accurate quality adjustments the productivity slowdown would disappear.For this to be true,there not only needs to be mismeasurement but the scale of mismeasurement also needs to have increased over the past 15 years.A number of resea
44、rchers studying the issue have found no evidence of an increase in mismeasurement that would explain the aggregate slowdown in productivity since 2005 in the United States.4A note on our sources and methods:our measures of output are primarily real value added,or sectoral output(in 2012 dollars)from
45、 data sets published by the US Bureau of Labor Statistics(BLS)and the US Bureau of Economic Analysis(BEA).Our calculation of working hours comes primarily from the BLS.We have also used proxies for inputs(such as total employment)where needed,incorporating additional data from Moodys Investors Servi
46、ce,the US Census Bureau,the World Bank,the Conference Board,and the Federal Reserve Board.The period we studied in most cases stops in 2019 or earlier,to stay focused on long-term patterns and avoid the gyrations of the COVID-19 pandemic.2McKinsey Global Institute|Rekindling US productivity for a ne
47、w eraIt will not be easy,but some states,cities,sectors,and firms are growing productivity quickly and set an example.For example,from 200719,Washington and North Dakota raised productivity at a growth rate over 2.2 percent;California was close,at 2.1 percent.Seattle has powered growth in Washington
48、,and San Jose and San Francisco have led the way for California.Among sectors,mining and information grew productivity faster than 2.2 percent,though together these represent only 10 percent of US output and 3 percent of working hours.Even in slower-growing sectors,such as manufacturing,the most pro
49、ductive firms outpace laggards by a factor of five or more.The$10 trillion goal poses difficult but not insurmountable challenges.In this research,we review the patterns of productivity growth over the past 15 years,parse the challenges that lie ahead,and identify implications for business leaders a
50、nd policy makers.US labor productivity is running well below its long-term average.Change in US nonfarm,private business labor productivity growth and real hourly compensation growth,%Data series for real compensation growth begins in 1948 and for labor productivity growth in 1949.Rolling averages i
51、n initial years are for fewer than 5 years,refecting that availability.Source:US Bureau of Labor Statistics;US Federal Reserve economic data McKinsey&Company012345194819711989199520052019Era of marketsLaborproductivity5-year rolling average19492021 annual averageReal compensation5-year rolling avera
52、ge19482021 annual averageUS recessionsPostwar boom(194871)2.83.0Era ofcontention1.81.11.50.31.40.71.93.0Productivity and compensation averages for each era,%Exhibit 13McKinsey Global Institute|Rekindling US productivity for a new eraUS productivity is a story of haves and have-nots Averages obscure
53、details that matter.Some states,sectors,firms,and cities have become significantly more productivebut those gains have been far from universal.These patterns of divergence highlight the unevenness with which the benefits of innovation,globalization,and other shapers of productivity have spread acros
54、s the United States.(A similar story has unfolded in other nations;see sidebar“A global problem”for more.)Inequality among states is on the riseState-level productivity is diverging,with some states pulling away and others falling behind(Exhibit 2).This pattern is at odds with much of US history,whe
55、n states converged in productivity and income levels.7 Seven states currently lead the wayCalifornia,Colorado,Massachusetts,New York,North Dakota,Texas,and Washington.These leading states are both more productive and increasing productivity faster than the US average.Together,they provide nearly one
56、-third of the nations jobs and 40 percent of GDP.7 Robert J.Barro and Xavier Sala-i-Martin,“Convergence,”Journal of Political Economy,April 1992,Volume 100,Number 2.SpVVK/Getty images4McKinsey Global Institute|Rekindling US productivity for a new eraSidebarA global problemThe United States is not un
57、ique in its productivity challenges with declining productivity growth observed across G7 nations since 2005(exhibit).The United States starts from a position of strength,being the most productive nation among the G7 in 2019.This has not always been the case:the United States overtook France and Ger
58、many shortly after the 200708 financial crisis,a position it has held since.Slowdowns in productivity growth can be seen across the G7 since 2005,with most countries experiencing declines of 0.6 to 1.6 percentage pointsequivalent to a halving of productivity growth.Other countries confront more cons
59、iderable challenges:Italy has barely sustained any productivity growth at all,averaging only 0.1 percent per year since 2005.The United Kingdom has experienced the most significant drop-off,falling from robust rates of 2.1 percent over 19952005 to 0.5 percent from 200519.These declines represent sig
60、nificant challenges to economic growth and individual prosperity in these economies.There is one area in which the United States is uniquely challengeddeclining labor participation.While each of the other G7 countries has experienced rising labor participation rates since the 1990s,bolstering their
61、total economic growth,labor participation in the United States has declined by 4 percent since its peak in 1998.This adds a further headwind to economic growth,and one to be confronted in concert with reviving productivity.See exhibit next page5McKinsey Global Institute|Rekindling US productivity fo
62、r a new eraWeb Exhibit of The US experience mirrors other developed markets with a 1-percentage-point average decline since 2005.McKinsey&CompanyLabor productivity by G-7 country,output per hour worked,2021 international dollars,converted using purchasing power parity,%FranceUKItaly25507520192005199
63、519891.31.60.8Canada25507520192005199519891.50.825507520192005199519891.80.825507520192005199519890.525507520192005199519891.91.70.725507520192005199519891.90.60.1Germany25507520192005199519891.32.51.1CAGR over the same time periods,%JapanSource:The Conference Board2.72.62.32.1USUSUSUSUSUSUSSidebar
64、exhibit6McKinsey Global Institute|Rekindling US productivity for a new eraWeb Exhibit of Four groups of states are heading in diferent directions on productivity growth.McKinsey&CompanyUS labor productivity in 2019 and productivity growth,200719Source:US Bureau of Labor StatisticsGrowingStates movin
65、g up from a smaller base4000.50.51.011.5233.52.55060708010090Nonfarmaverage$67Circle size=change in total hours worked 200719Nonfarmaverage 1.3%NDCONJDENYMAILMDPANCOHINMINVAZFLSDNMVAHIIAMENEIDMTKYVTARMSALKSTNMOMNWAMALAWYCTAKCAGR 200719,%Real output 2019,$per hour worked(2012 dollars)TXCAORUTSCLeadin
66、gTop states pulling awaySlowingStates falling back from a high levelLaggingStates falling behindWAORIDMTUTHINMNDNEKSOKGANYNHPAOHMIINILWIMNIASDWYCOTXMOARLAMSALTNKYWVVANCSCFLCAAKNVAZMEMARICTNJDEMDVTStates by categoryNHWIGAWVRIOKMDExhibit 27McKinsey Global Institute|Rekindling US productivity for a new
67、 eraIn contrast,25 states lag behind,with below-average productivity and slower-than-average growth;many are inland states east of the Mississippi.This lagging group is also large;it includes 44 percent of total employment and 37 percent of real GDP.In 2007,average productivity across these states w
68、as 83 percent of todays leading states;by 2019 it had shrunk to 72 percent and by 2030 it will have fallen to 64 percent if productivity growth rates persist.The remaining 18 states present mixed stories.Six states,representing 8 percent of employment and 9 percent of GDP,are slowing.They have above
69、-average productivityfor nowbut their average productivity growth was near zero for the past decade.The story is reversed for 12 growing states with below-average productivity but above-average productivity growth rate.Should these states maintain their growth,they will continue to converge with the
70、 US average level of productivity.Surprisingly,sector mix within states explains little of the variation in productivity levels and none of the relative growth.High-productivity sectors have benefited some states,such as North Dakota,which benefited from the boom in natural gas,and California,which
71、reaped the benefits of the technology boom.However,in aggregate,sector employment mix only explains a small share of the productivity gap across states.8 As an example,the eight most-productive sectors amount only to 28 percent of California employmentroughly the same share as in the United States o
72、verall.Instead,both the absolute level of a states productivity and its growth rate seem to be driven by differences within sectors.For example,in 2007,information firms in California were 18 percent more productive than the US average,but this gap grew to 47 percent by 2017.In sectors such as retai
73、l,accommodation,and transportation,leading states have double or more the productivity of states that are lagging behind.This means having a desirable sector mix is not enoughto secure productivity growth,states need to provide an environment that enables firms to thrive across all sectors.That grow
74、th is necessary for states(and cities)to fulfill their goal of delivering economic gains that are broadly shared.Some sectors pulled aheadLike states,sectors present a picture of productivity divergence(Exhibit 3).Sectors with the highest and fastest-growing productivity have often been powered by a
75、 combination of advances in digital technology and an advantageous place in global industries.In a 2015 study,we observed a 70 percent correlation between sectors productivity growth and their level of digitization over the previous 30 years(Exhibit 4).Unfortunately,despiteand perhaps because ofthei
76、r relative productivity success,the sectors with the highest and fastest-growing productivity supply a disproportionately small number of jobs.They account for only 2 percent of new labor hours and on average generate 40 percent working hours per unit of output than other sectors.Four sectors are le
77、ading,largely powered by adoption of digital technologies.Mining,information,finance and insurance,and wholesale trade all enjoy above-average productivity and have grown most rapidly since 2005.With the exception of mining,which has benefited from natural gas innovation,all are among the most digit
78、ized sectors in the US economy.Information,which includes businesses such as software,telecommunications,and internet publishing,has been a productivity superstar,averaging 5.5 percent growth since 2005,propelled by internet services and software.While these sectors represent 25 percent of the US ec
79、onomy,they only account for 15 percent of US working hours.8 State sector value-added statistics are available from the US Bureau of Economic Analysis.The US Census Bureau publishes estimates of state employment level by sector.8McKinsey Global Institute|Rekindling US productivity for a new eraLeadi
80、ng sectors in the United States are pulling away from the rest.McKinsey&CompanyUS labor productivity by sector,sectoral output in 2012 dollars per hour workedShare of outputShare of working hours20.524.530.517.214.523.736.630.90100200300400500Accommodationand food servicesOther services,except gover
81、nmentConstructionTransportationand warehousingHealthcare andsocial assistanceAdministrative and wastemanagement servicesRetail tradeArts,entertainment,and recreationProfessional,scientifc,and technical servicesManagement of companiesand enterprisesManufacturingReal estate andrental and leasingUtilit
82、iesWholesale tradeFinance and insuranceInformationMiningLeading sectorsSlowing sectorsGrowing sectorsLagging sectorsProductivityCAGR200519,%20052019Sizes of 2019 circles=working hours in 2019National average:$96 in 2005$110 in 2019Sectors share of US economy,by productivity bracket,2019,%GrowingLead
83、ingSlowingLaggingPrivate-education sector is excluded due to its small size.Figures do not sum to 100%,because they omit the private-education sectors 0.8%share.2.95.51.52.10.11.00.50.90.50.50.10.21.31.81.82.20.9Source:US Bureau of Labor StatisticsExhibit 39McKinsey Global Institute|Rekindling US pr
84、oductivity for a new eraAn additional four sectors representing 31 percent of the US economy are slowing:manufacturing,real estate,utilities,and management of companies have experienced slower growth but continue to outpace the US average.Employment in these sectors has shrunk,most notably in manufa
85、cturing,which dropped from 15 to 12 percent of national employment between 200519.Globalization has played an important role,shifting work in less productive subsectors such as textiles overseas,while highly productive,R&D-intensive subsectors grew rapidly.It also meant US firms shifted their place
86、in global value chains,reducing their share in labor-intensive activities such as factory production while retaining high-value activities such as design.The result was that subsectors such as semiconductor manufacturing could shrink employment by 19 percent while expanding productivity by almost 50
87、 percent.In contrast,a group of services-led sectors(for example,accommodation and food services,healthcare)are badly lagging on productivity growth while also being among the least-productive industries.These sectors also provide a disproportionate number of jobs:while they contribute only 24 perce
88、nt of economic output,they are responsible for 37 percent of hours worked.Worse,these sectors have accounted for more than two-thirds of employment growth since 2005,creating headwinds for overall productivity as more workers shift into less-productive work.These sectors tend to adopt technology mor
89、e slowly than highly productive sectors do,attract lower-skilled workers,and operate more prominently in local value chains,with limited exposure to global markets.Web Exhibit of Productivity growth in US sectors is linked to digital adoption.Sectors labor productivity growth compared with digitizat
90、ion levelPrivate-education sector is excluded due to its small size.The McKinsey Global Institute digitization index assesses digital assets,digital usage,and digital workers using 27 indicators to capture the many possible ways in which companies are digitizing.Source:US Bureau of Labor Statistics;
91、“Digital America:A tale of the haves and have-mores,”McKinsey Global Institute,Dec 1,2015McKinsey&Company010123465123465LaborproductivityCAGR19892019,%MGI digitization index(2015)LowHighArts andentertainmentMiningTransportation andwarehousingHealthcare andsocial assistanceAccommodation and food serv
92、icesConstructionInformationWholesale tradeUtilitiesFinanceandinsuranceProfessional,scientifc,technologyservicesRetail tradeManufacturingManagement of companiesOther servicesAdministrative and waste managementReal estate and rental correlation between productivity growth and digital adoption during t
93、he 19892019era of markets70%Exhibit 410McKinsey Global Institute|Rekindling US productivity for a new eraA few growing sectors(retail trade,professional services,administration and waste management)have provided a relative bright spot;they are converging with the US average.Together they represent 3
94、1 percent of working hours and 21 percent of GDP.Technology accounts for part of their story:subsectors such as non-store retail(e-commerce)and computer and electronic products manufacturing have experienced robust growth.In sum,technology adoption and competition have proved central to sector-level
95、 productivity improvement.Yet,the benefits of each have not been broadly shared to date.Leading firms outpace the restThe most productive firms in every sector have widened their lead on the rest.In fact,the gap between the most and least productive is wider within sectors than in any other dimensio
96、n we studied.Manufacturing provides a particularly striking example;leading firms operate at 5.4 times the productivity of laggards.9 In some manufacturing subsectors,the differences are extraordinary.The leading semiconductor manufacturers are 38 times more productive than the least-productive comp
97、anies.This mirrors other research showing similar patterns of divergence across other sectors such as wholesale trade and information.10The“frontier firms”in the productivity vanguard are accelerating away from their peers.These firms tend to be larger,more connected to global value chains,and focus
98、 on technology-intensive aspects of their sector.Research suggests these leading firms invest 2.6 times more in technology and other intangibles such as research and intellectual property,and attract and invest in more skilled talent.11 As a result,the gap between frontier firms and laggards has gro
99、wn over the past 30 years.In manufacturing,the gap was 25 percent wider in 2019 than it was in 1989,with most of that change happening before 2000.At the same time,industry dynamism has fallen,as seen in metrics such as new firm entry rate(which has declined 29 percent from 1989 to 2019 in the Unite
100、d States)and labor reallocation rates(which are down 31 percent across sectors).Standard economic principles would suggest that less productive firms would be replaced or would improve their performance.Researchers have offered multiple hypotheses for why this has not happened.For example,there is e
101、vidence that firms within the same sector may coexist without fully competing,by serving different customers,attracting different workers,or operating in different geographic markets.12 Finally,some researchers have pointed to declining measures of competition as a source of the divergence,13 which
102、remains a matter of active debate.Whatever the explanation for growing divergence,productivity gains must ultimately come from firms.If laggards dont catch up or get replaced by more productive firms,US productivity will continue to splutter.For business leaders,the message is clear:improving your f
103、irms performance matters much more than the productivity of the sectors in which you operate.9 Leading firms are defined by those at the 90th percentile of productivity growth in their four-digit North American Industry Classification System subsectors.Laggards are defined as those at the tenth perc
104、entile of productivity growth in their subsector.10 See Chad Syverson,What determines productivity?,National Bureau of Economic Research,working paper 15712,January 2010;Dan Andrews,Chiara Criscuolo,and Peter N.Gal,Frontier firms,technology diffusion and public policy:Micro evidence from OECD countr
105、ies,OECD Working Papers,2015,No.2.11“Getting tangible about intangibles:The future of growth and productivity?,”McKinsey Global Institute,June 16,2021.12 Mark Lijesen and Carlo Reggiani,“Specialization,generic firms and market competition,”SSRN Electronic Journal,January 1,2019.13 Germn Gutirrez,Inv
106、estigating global labor and profit shares,Society for Economic Dynamics,2018.11McKinsey Global Institute|Rekindling US productivity for a new eraCities emerge as engines of firm-level productivityOne link to these patterns across states,sectors,and firms appears to be city-level agglomeration effect
107、s(that is,the efficiencies from urban density),as a group of leading cities diverge from the rest(Exhibit 5).Within many of these cities are clusters of highly productive firms within related industriesthink Silicon Valley technology companies or New York financial institutions.When firms set up sho
108、p near each other,they can benefit from pools of skilled talent,shared expertise,and local ecosystems of suppliers and customers.14 Urban inventors who are nearer to their competitors or peers produce more patents,15 and the flow of knowledge among different fields facilitates innovation based on at
109、ypical knowledge combinations.16.A handful of coastal cities such as Houston,San Francisco,San Jose,and Seattle have particularly benefited from these effects and jumped ahead of other areas of the United States.For example,Seattle was 16 percent more productive than other cities in 2007 but had bec
110、ome 38 percent more productive by 2019.These cities also account for much of the state-level performanceSeattle,for example,drove productivity growth at three times the rate of surrounding areas within Washington State while accounting for more than two-thirds of state GDP.But being a city is no gua
111、rantee of growth;some cities have lost ground as they failed to spark agglomeration effects or find renewal as once-productive sectors shrank.Even among the 40fastest-growing metropolitan areas,several historically vibrant cities(Chicago,Detroit,Orlando)have seen flat or negative productivity growth
112、 since 2005.Increasing divergence among cities would matter less if talent moved freely across state and county lines.However,over the past 15 years,interstate mobility has fallen by a shocking 49 percent;county-to-county moves have fallen nearly as much(34 percent).Researchers point to many potenti
113、al causes such as the growth in occupational licensing,policies that tie benefits to state residency,and high differentials in housing prices across regions.17 It remains uncertain whether pandemic-induced moves or increases in remote work might reverse this trend.Cities are the engine of US product
114、ivity,bringing together ecosystems of firms and talent to create self-reinforcing agglomeration effects.Yet,productivity growth in cities is not predetermined;many cities that are now lagging were once the standouts of their era.14“Superstars:The dynamics of firms,sectors,and cities leading the glob
115、al economy,”McKinsey Global Institute,October 24,2018.15 Enrico Moretti,The effect of high-tech clusters on the productivity of top inventors,National Bureau of Economic Research,working paper 26270,September 2019.16 Enrico Berkes and Ruben Gaetani,The geography of unconventional innovation,Rotman S
116、chool of Management,working paper 3423143,July 2019.17 See,for example,Benjamin Austin,Edward Glaeser,and Lawrence Summers,“Jobs for the heartland:Place-based policies in 21st-century America,”Brookings Papers on Economic Activity,2018.Being a city is no guarantee of growth.Some have lost ground as
117、once-productive sectors shrank.12McKinsey Global Institute|Rekindling US productivity for a new eraMetropolitan statistical areas listed by largest US city and state represented.Source:Moodys Investors Service;US Bureau of Labor StatisticsEight US cities leading in productivity have diverged from th
118、e rest.McKinsey&CompanyProductivity in largest US metro areas,real GDP per employee,in 2012$thousand,top 40 metropolitan statistical areas by employment2007State-level productivityMetro area change2019CASan JoseCASan FranciscoWASeattleTXHoustonCASan DiegoCALos AngelesNYNew YorkMABostonDCWashingtonCA
119、SacramentoCODenverTXDallasFort WorthMDBaltimoreGAAtlantaPAPhiladelphiaPAPittsburghILChicagoTXAustinORPortlandCARiversideSan BernardinoVAVirginia BeachMNMinneapolisSaint PaulTXSan AntonioNCCharlotteFLMiamiUTSalt Lake CityFLTampaVARichmondOHColumbusOHClevelandTNNashvilleAZPhoenixMIDetroitINIndianapoli
120、sOHCincinnatiNVLas VegasMOKansas CityMOSaint LouisFLOrlandoWIMilwaukee225100125150100125150175200Top 8 metro areasThese cities have diverged from the rest and tend to be concentrated in leading statesMetro areas with below average productivity Lagging states tend to have slower growing cities(and fe
121、wer big cities overall)$114,000 in 2007National average:$125,000 in 2019GrowingLeadingSlowingLaggingMetro areaExhibit 513McKinsey Global Institute|Rekindling US productivity for a new eraLooming challenges make productivity growth an imperativeCapturing the$10 trillion opportunity by returning US pr
122、oductivity to its long-term trend of 2.2 percent annual growth will require addressing existing challenges.Leaders will also need to confront the futures changing context;indeed,a recent perspective from McKinsey Global Institute(MGI)suggests that we may be on the cusp of a new era.The most signific
123、ant challenges today are insufficient skilled labor supply,uneven technology adoption,and stalling investment.All will remain relevant in the future as the workforce ages and the frontiers of technological possibility expand while interest rates rise.At the same time,shifting geopolitical dynamics a
124、nd the net-zero transition introduce new complications that make productivity growth more needed than ever.Rebecca Nelson/Getty images14McKinsey Global Institute|Rekindling US productivity for a new eraWorkforce shortages will remain a challengeInsufficient labor supply is among the most acute chall
125、enges facing firms today.Skilled-worker shortages remain a significant constraint on productivity growth across the spectrum of sectors and firms,especially as technology investment grows.In October 2022,there were 10.3 million job openings according to the Census Bureau,but many business leaders co
126、mplain of not being able to find qualified workers.At the same time,labor force participation rates have fallen to 62 percent from a high of 67 percent in the late 1990s,as workers are unable or unwilling to find work that matches their skills.Historically,access to skilled talent has long been a pr
127、erequisite of productivity growth;the past 30 years have seen soaring returns to human capital for firms that invested in people.18 Those that freed their top thinkers,engineers,and creatives to work on their toughest problems,and supported them with technology and other intangibles,experienced outs
128、ize returns.Meanwhile,workers lacking the skills the modern economy demands have been less fortunate,with many discouraged from the labor force altogether,driving down labor participation.Since the pandemic,three groups in particular have opted out of the labor force:aging baby boomers,women with ch
129、ildren,19 and men without college degrees.An additional source of human capital has lately slowed.In the early years of this century,immigration bolstered the perpetual quest for skilled labor.Immigrant numbers grew by 4.6 percent from 1990 to 2000.But growth slowed to 2.5 percent from 200010 and ju
130、st 1.1 percent from 201021.Another source is also under threat.As skilled boomers retire,they will take important institutional or technical knowledge with them.Reskilling workers to make up for the shortfalls and meet evolving job demands will be a massive undertaking.To take a single sector as an
131、example,MGI estimates 550,000 new energy transition jobs will be available by 2030.20 Who will fill them?Getting this right will not only unlock greater productivity growth but also address a second looming challenge for the US economy:raising the labor force participation rate by bringing discourag
132、ed workers back into the labor force.Technology is advancing but even now its benefits arent broadly sharedTechnology has lifted productivity for some sectors and firms,yet its benefits have not been fully captured nor broadly shared.21 In a recent survey,companies report that digital transformation
133、s fail five times more often than they succeed.22 A colossal opportunity awaits if the country can collect the benefits of todays technologies(never mind whats to come)and ensure that its dividends are spread economy-wide.That“whats to come”bit is even more tantalizing.New so-called transversal tech
134、nologies such as artificial intelligence and bioengineering are advancing by leaps and bounds.To unlock value from truly new technology,firms must reconfigure how they work,often over sustained periods,as they tinker with processes and workers adapt their skills.This is not a new phenomenon:historic
135、ally,revolutionary general-purpose technologies such as electricity took multiple decades before the 18 ukasz Bryl,“Human capital orientation and financial performance.A comparative analysis of US corporations,”Journal of Entrepreneurship,Management and Innovation,2018,Volume 14,Issue 3.19“Labor for
136、ce participation of mothers and fathers little changed in 2021,remains lower than in 2019,”US Bureau of Labor Statistics,April 27,2022.20“Toward a more orderly US energy transition:Six key action areas,”McKinsey,January 12,2023.21 Mohammed Aaser,Jonathan Woetzel,and Kevin Russell,“Five insights abou
137、t harnessing data and AI from leaders at the frontier,”McKinsey Global Institute,March 25,2021.22 Jacques Bughin,James Manyika,and Tanguy Catlin,“Twenty-five years of digitization:Ten insights into how to play it right,”McKinsey Global Institute,May 21,2019.15McKinsey Global Institute|Rekindling US
138、productivity for a new eraproductivity benefits were clear.23 Investments in technology require complementary investment in intangibles such as talent,ecosystems,and organizational models.As researchers such as ErikBrynjolfsson24 have highlighted,over time this process creates a productivity“J-curve
139、”in which initial benefits may only be small(or even negative)but long-term value is substantial for firms that sustain the journey.Firms readiness for these new technologies may be improving.The COVID-19 pandemic sped up investment in AI and automation as firms responded to the needs of remote work
140、.25 But productivity measures since the pandemic have been mixed.To be ready to capture value from digitization today and the new technologies of tomorrow,firms will need to build their capabilities with the right investments in skilled talent,operating practices,and platforms.26 Investment has lagg
141、ed,and macro uncertainty could dampen it furtherInvestment supports labor productivity by adding tangible capital(such as land or equipment)and intangible capital(such as R&D,software,human capital,and brands).Since 2005,investment of all kinds slowed despite record low interest rates,even as firm p
142、rofitability and foreign investment grew.Investment has grown since then but has yet to return to pre-2005 levels.Understanding the factors constraining investment is important since too little investment may dampen long-term productivity growth.Complicating matters,firms today are confronting a new
143、 capital markets reality.Interest rates are higher,as is asset price volatility.27 More turbulence may be ahead as global balance sheets deleverage.How this will impact investment is unclear:in the long term,real interest rates matter and they remain low.But volatility can have a dampening effect on
144、 its own and is likely to have the most effect on long-term investments.Firms have certainly noticed that intangible investment(in R&D,software,and so on)has boosted performance.28 Yet growth in these investments has been sluggish.This suggests that many firms may have set their hurdle rate too high
145、.There are several possible reasons:many intangible investments may not have yielded a return,intangibles may be perceived as riskier given they are difficult to collateralize and have limited recovery value,or firms may simply be taking a short-term perspective and are unwilling to invest through t
146、he J-curve associated with intangibles investment.Boosting productivity growth will require addressing this hesitancy to invest,even amid choppy macroeconomic waters.23 Paul David,“The Dynamo and the computer:An historical perspective of the modern productivity paradox,”American Economic Review,Janu
147、ary 1990,Volume 80,Number 2.24 Erik Brynjolfsson,Daniel Rock,and Chad Syverson,The productivity J-curve:How intangibles complement general purpose technologies,National Bureau of Economic Research,working paper w25148,October 2018.25 The future of work after COVID-19,McKinsey Global Institute,Februa
148、ry 18,2021.26“Twenty-five years of digitization,”May 21,2019.27 IMF Blog,“Interest rate increases,volatile markets signal rising financial stability risks,”blog entry by Tobias Adrian,October 11,2022.28“Getting tangible about intangibles,”June 16,2021.Interest rates are higher;more turbulence may be
149、 ahead as global balance sheets deleverage.16McKinsey Global Institute|Rekindling US productivity for a new eraThe energy transition introduces trade-offs between speed and affordabilityOver the past 30 years,energy costs have remained relatively stable even as economic output more than doubled.US e
150、nergy producers responded to market signals through innovations such as fracking.At the same time,businesses and consumers also adapted by increasing energy efficiency.While greenhouse-gas(GHG)emissions did not go down,they did remain stable.As firms now embark on the transition to net-zero emission
151、s,the rising cost of energy could turn into a headwind for productivity.Business leaders and policy makers will need to manage trade-offs between the speed of transition and affordability.MGI estimates that for the United States to reach net zero,investors will need to pump in an additional$1.7 tril
152、lion annually until 2050,much of which is not currently planned.29 Freeing up those resources will require higher productivity growth.In the short term,with energy markets in turmoil,investments in net zero could dampen productivity growth,thereby also making subsequent investments needed for the tr
153、ansition less affordable.But the road to net zero will also present some new opportunities to bolster productivityfor example,through decreased volatility of energy costsand for job creationsuch as through new manufacturing or construction jobs.30 Reimagined globalization can better account for all
154、people and places across the United StatesGlobalization has been a powerful force for productivity growth for more than 30 years,especially in the 1990s and early 2000s,but also including the past 15 years.Globalization drives firm productivity through exposure to overseas competition,access to idea
155、s,and specialization.Global value chains sprung up,and leading firms staked out a global presence.31 However,the productivity benefits of globalization were not uniform,with some states,sectors,firms,and workers left behind.Sectors insulated from global forces(for example,healthcare)have seen fewer
156、benefits,while otherssuch as textiles,exposed to global competition but unable to respondhave withered.And workers in many parts of the United States were not able to transition to new jobs as their old ones moved overseas,fueling some of the observed geographic disparity.32 In the new era taking sh
157、ape now,trade policy and other economic institutions are likely to be revisited as the world becomes more multipolar and as noneconomic strategic options are considered.Policies that preserve the benefits of global interconnectedness while fostering resilience and better distributing the gains of gl
158、obalization could enhance productivity,as workers and value chains adjust and build greater resilience to global shocks.29“The net-zero transition:What it would cost,what it could bring,”McKinsey Global Institute,January 2022.30 Ibid.31“Global flows:The ties that bind in an interconnected world,”McK
159、insey Global Institute,November 15,2022.32 David Autor,David Dorn,and Gordon Hanson,“On the persistence of the China shock,”Brookings Institution,September 8,2021.Globalization drives productivity through competition,access to ideas,and specialization.17McKinsey Global Institute|Rekindling US produc
160、tivity for a new eraAchieving and equalizing productivity gains will require concerted actionOur findings suggest that grasping the$10 trillion productivity opportunity requires concerted effort by business leaders and policy makers in five areas(see sidebar“A productivity agenda for CEOs”for a chec
161、klist of the biggest ideas for business).Build an American workforce for the futureAddressing the labor participation rate,the workforce shortage,and skills gaps will take a sustained step change in government and business initiatives and will likely involve multiple levers to build skills throughou
162、t American workers careers and forge a new talent pipeline.Leaders can start by increasing the supply of newly trained workers.Improved access to education through community colleges,apprenticeships,and vocational programs,as well as reforming the visa process for skilled foreign workers,would provi
163、de a welcome boost.Private-and public-sector talent reskilling programs must be scaled up to help more people acquire the skills they will likely need in the future and match them with prospective employers.Skills acquired on the job explain a large proportion of workers earnings and can be purposef
164、ully developed through on-the-job experience,training,and mobility.3333“Human capital at work:The value of experience,”McKinsey Global Institute,June 2,2022.deberarr/Getty images18McKinsey Global Institute|Rekindling US productivity for a new era SidebarA productivity agenda for CEOsWeve argued thro
165、ughout this report that the biggest improvements in US productivity will be the result of the choices that business leaders make.The company will benefit from greater productivity,as will the national economy.Here we provide a quick checklist of the ideas discussed in the report.Most are steps that
166、companies can take today.Others will require collaboration with other institutions;weve put those in italics.Prepare for the future war for talent Rethink hiring to reduce focus on credentials and instead value experience.Invest in on-the-job training and rotation programs that build your talent ben
167、ch.Expand policies on childcare,elder care,and parental leave to retain top talent.Partner with public-and social-sector organizations to reskill workers at scale.Accelerate business reinvention Commit to your digital transformation with bold goals and shared accountability.Complement technology inv
168、estments with R&D,brands,and other intangibles to reimagine core business operations.Retool your organization to build the capacity and flexibility for reinvention.Invest in technology-ready talent at all levels to lead and deliver the change.Balance energy affordability and productivity Revisit cap
169、ital-allocation processes to enable rapid moves as green technology comes online.Set long-term plans for the net-zero transitions to provide business units and employees time to adjust.Shape the economic context Proactively work with others(private-,public-,and social-sector institutions)to address
170、local needs in talent or infrastructure.Engage suppliers and customers to form new ecosystems that can generate local agglomeration benefits and co-innovation potential.19McKinsey Global Institute|Rekindling US productivity for a new eraLabor market frictions that inhibit matching of talent demand a
171、nd supply will also need to be addressed.Companies could support hybrid and remote work where it makes sense.Policy makers could reduce burdensome noncompete rules and occupational licensing programs.The high cost of housing in many cities deters job seekers and may prevent cities with already stron
172、g agglomeration effects from reaching their full potential.Rethinking hiring approaches by moving from credential-based hiring toward skills-based models would open up new pools of talent and recognize the value of experience in the workforce.Finally,specific efforts will be needed to retain those l
173、eaving the workforce in disproportionate numbers,such as women and retirement-age workers.Policies that improve access to affordable childcare and make it easier to take parental leave would help parents(especially women)remain in the workforce.Greater flexibility on the career path would make it mo
174、re attractive for retirement-age workers to stay in the workforce.Bend the curve of technology adoptionFirms can take action to realize the promise of already established digital technology and prepare themselves to gain from nascent or yet-to-be-developed innovations.Those whose productivity is not
175、 where it could be can emulate leading firms,which do a few things consistently well.They commit to their digital strategy and devote sufficient resources to it as a core organizational priority.They mobilize the entire organization around their transformation,sharing responsibility and ownership of
176、 the transformation.They are flexible and agile,focusing on continuous development and making bold bets to reinvent themselves.And they invest in the right technology-ready talent to help execute these bets at both the frontline and managerial level.34 Encourage investment in intangiblesPolicy maker
177、s can support the intangibles economy by setting the right environment for intangibles to flourish.Reforms to intellectual property rules and competition policy can ensure that incentives for innovation persist while addressing contexts in which overly expansive protections or industry dynamics are
178、stifling competition.Such changes will need to be finely tuned by sector and even firm,recognizing the role of global value chains and natural returns to scale in helping large,productive,intangibles-based businesses grow.Government can also directly support innovation by coordinating across value c
179、hains,clarifying regulatory standards,and streamlining policy to ease constraints on new investments.Agencies such as NASA have done this successfully in the past,giving rise to new ecosystems of high-tech manufacturing.Policies that ease land-use regulations could do the same for areas such as rene
180、wables by making it easier to build solar,wind,and geothermal generation facilities and the electrification infrastructure they require.Recently passed federal legislation(the CHIPS Act,35 Bipartisan Infrastructure Law36)may help,containing potentially promising avenues to increase research and deve
181、lopment.34“Twenty-five years of insights,”May 21,2019;Jacques Bughin and Tanguy Catlin,“3 digital strategies for companies that have fallen behind,”McKinsey Global Institute,February 19,2019.35“The CHIPS and Science Act:Heres whats in it,“McKinsey,October 4,2022.36“The Inflation Reduction Act:Heres
182、whats in it,”McKinsey,October 24,2022.20McKinsey Global Institute|Rekindling US productivity for a new eraBalance energy affordability and productivityIn confronting the net-zero transition,business leaders and policy makers will need to manage the trade-offs between affordability and the speed of t
183、ransition.Policy makers and other stakeholders can fine-tune their strategies to recognize the different costs and length of transition in each sector and each region.Three categories of actions stand out.The first is moves to catalyze effective capital allocation and new capital structures to scale
184、 up new innovations,align incentives,and manage risk for existing assets.A second set of actions seeks to manage demand shifts and support innovation with R&D investment and nurturing new ecosystems.And a final group of actions would consider the way that consequences of the transition are distribut
185、ed by reskilling affected workers and economic-diversification programs for affected areas.Address people and places left behindAmong the most confounding patterns of US productivity growth is the relative stagnation of specific geographies that suffer the twin problems of low productivity growth an
186、d low labor force participation.This includes cities that have failed to spark productivity growth as well as rural areas falling behind.As Anne Case and Angus Deaton have documented,these economic outcomes are often accompanied by social ills such as lower life expectancy and higher rates of substa
187、nce abuse.37 And in many cases,workers are unwilling or unable to move,given factors related to skills levels,cultural affinity,and benefits tied to state residency.38 Skilled talent is increasingly concentrated in select cities,leading to their relative outperformance,but also heightening the chall
188、enge for those looking to recruit such talent.39Place-based policies attempt to address these“left behind”areas but have a checkered history,with evidence of both success stories(for instance,the Tennessee Valley Authority)and failures.Academic reviews of such policies have generally failed to see s
189、elf-sustaining benefits.40 Yet,people-based policies such as the earned income tax credit have not been sufficient to address the scale of the problem.Place-based policies should be explored further to identify specific interventions that work and where such interventions are best targeted.Returning
190、 labor productivity growth to its historical level is among the most important challenges facing the US economy.Success will deliver not only greater prosperity,but also help finance the net-zero transition,bring workers back to the job even as the population ages,and put the brakes on rising inequa
191、lity.Fortunately,the wellspring of American innovation remains strong even if unevenly distributed.By taking action on several fronts,business leaders and policy makers can accelerate productivity and create a more sustainable and inclusive economy in the new era.37 Anne Case and Angus Deaton,Deaths
192、 of Despair and the Future of Capitalism,Princeton,NJ:Princeton University Press,2020.38 Benjamin Austin,Edward Glaeser,and Lawrence H.Summers,“Saving the heartland:Place-based policies in 21st century America,”Brookings Institution,March 8,2018.39 Farid Farrokhi,Skill,agglomeration,and inequality i
193、n the spatial economy,Society for Economic Dynamics,2019 Meeting Papers.40 See,for example,David Neumark and Helen Simpson,“Place-based policies,”in Handbook of Regional and Urban Economics,edited by Gilles J.Duranton,J.Vernon Henderson,and William C.Strange,Elsevier,2015,Volume 5.21McKinsey Global
194、Institute|Rekindling US productivity for a new eraThe research was led by Charles Atkins,a partner in McKinseys Bay Area office;Olivia White,a director of the McKinsey GIobal Institute and a senior partner in the Bay Area office;Michael Neary,a consultant in the Bay Area office;Asutosh Padhi,the man
195、aging partner for North America and senior partner in the Chicago office;Kweilin Ellingrud,a director of the McKinsey Global Institute and a senior partner in the Minneapolis office;and Anu Madgavkar,a McKinsey Global Institute partner based in the New Jersey office.We are grateful to the academic a
196、dvisers who challenged our thinking and added new insights:Martin Baily,senior fellow in economic studies at Brookings,and Matthew Slaughter,Paul Danos Dean and Earl C.Daum 1924 Professor of International Business at the Tuck School of Business,Dartmouth College.We thank McKinsey colleagues for thei
197、r expertise,namely Jeffrey Condon,Ricardo Huapaya,MaxKlug,Javin Pombra,Maria Jesus Ramirez,Fernanda Reyes,Sven Smit,Bob Sternfels,SebastianVargas,and Wei Su.This report was edited and produced by editorial director Mark Staples,together with senior data visualization editor Chuck Burke,and editorial
198、 operations manager Vasudha Gupta.We also thank Rebeca Robboy for her support.This research contributes to our mission to help business and policy leaders understand the forces transforming the global economy.As with all MGI research,it is independent and has not been commissioned or sponsored in an
199、y way by any business,government,or other institution.We welcome your comments on this research at MGI.Acknowledgments22McKinsey Global Institute|Rekindling US productivity for a new eraMcKinsey Global Institute February 2023 Copyright McKinsey&Company All rights reserved Designed by the McKinsey Global I McKinsey_MGI McKinseyGlobalInstitute McKinseyGlobalInstituteSubscribe to MGIs podcast,Forward Thinking:mck.co/forwardthinking