When firms become more productive, so do economies. Increasing the value each worker creates also promotes rising wages for workers and profits for firms. These facts are well known to economists. Our other findings are not.
A small number of firms contribute the lion’s share of productivity growth. Fewer than 100 productivity “Standouts” account for two-thirds of growth in our sample of 8,300 large firms in Germany, the United Kingdom, and the United States. Many others also play a role: the majority of firms contribute positively.
Productivity grows in powerful bursts as firms find new ways to create and scale new value. Think Apple expanding into services, easyJet shaping the discount airline trend, and Zalando pioneering apparel e-commerce. This is not the efficiency transformation nor the gradual diffusion described by conventional wisdom.
In the United States, the most productive firms expanded and unproductive firms restructured or exited. This contributed half of US sample productivity growth while sticky underperformers dragged down growth in Germany and the United Kingdom.
This fresh view of productivity growth calls for a new playbook. It suggests focus on the power of the few more than the broad swath, on value creation more than efficiency, and on reallocation of resources to leading businesses.
For more on Standouts and their contribution to productivity growth
This is the latest research in MGI’s effort to understand the vital topic of productivity. It focuses on the firms that are most relevant for driving productivity growth, building on MGI’s long-standing efforts to understand how companies advance global economic and social progress. Quantitative analysis is enriched with sector- and firm-specific case studies in the spirit of MGI’s “micro-to-macro” approach.
The research was led by Jan Mischke, an MGI partner in Zurich; Chris Bradley, a McKinsey senior partner and a director of MGI in Sydney; Olivia White, a McKinsey senior partner and a director of MGI in Bay Area; Guillaume Dagorret, an MGI senior fellow in Paris; Sven Smit, a McKinsey senior partner and MGI chairman in Amsterdam; Dymfke Kuijpers, a McKinsey senior partner in Boston; Charles Atkins, a McKinsey partner in the Bay Area; and Ishaa Sandhu, an engagement manager in Sydney.
This report was edited by MGI executive editor Janet Bush with data visualizations by Juan M. Velasco.
The project team comprised Alejandro Allepuz, José Álvares, Ana Asensio, Jorge Herranz Bayo, Antonio Lorenzo Besante (alum), Nicolas Bétin, Thiago Cersosimo, Marta Dabrowska, Barry Daly, Justin Eisner (alum), Alex Erickson, Maria Torrent Gonzalez, Luca Hoch, Tanush Jagdish, Tomasz Mataczynski, Deepigaa N, Fábio Neves, Andrea Petrini, Sofía Puebla (alum), Iñaki de las Rivas, Gonzalo Rodríguez, Sugashvaram S, Vrinda Saxena, Parth Sogani, Sofya Sudets, Vanshika Tandon, Prabhu Tyagi, and Inés Ures. We give particular thanks to McKinsey colleagues who provided vital input, namely Lucie Bertholon, Marc Canal, Nicolas Chanut, Tiago Devesa, Asutosh Padhi, María Jesús Ramírez Larraín, Kevin Russell, Cyril Verluise, and Andrés Villalobos. We are grateful to Janet Bush, MGI executive editor, who helped write and edit the report, and to Cintra Scott, MGI senior editor.
For generously sharing their insights, we thank MGI advisers Martin N. Baily, senior fellow emeritus in economic studies at the Brookings Institution; Sir Christopher A. Pissarides, Nobel laureate in economics and the Regius Professor of Economics at the London School of Economics; Andrés Rodríguez-Pose, Princesa de Asturias Chair and professor of economic geography at the London School of Economics; and Matthew J. Slaughter, dean of the Tuck School of Business, Dartmouth College. We are also grateful for the valuable advice and input of John Fernald, professor of economics at INSEAD Business School; John Haltiwanger, professor of economics at the University of Maryland; and Chad Syverson, George C. Tiao Distinguished Service Professor of Economics at the University of Chicago Booth School of Business.
Many McKinsey colleagues gave us input and guidance, including Fabian Billing, Simon Bills, Michael Birshan, Danielle Bozarth, Brendan Gaffey, Eric Hazan, Eric Kutcher, Tunde Olanweraju, Matteo Pacca, Darren Rivas, Jeremy Schneider, and Andreas Tschiesner.
In MGI’s operations team, we would like to thank Rachel Robinson, director, publishing and editorial; Rishabh Chaturvedi, assistant managing editor; Juan Velasco, senior data visualization editor; David Batcheck, communications specialist; directors of communications Nienke Beuwer and Rebeca Robboy; Suzanne Albert, manager of communications; and Ashley Grant, communications coordinator.
As with all MGI research, this work is independent and has not been commissioned or sponsored in any way by any business, government, or other institution. While we gathered a variety of perspectives, our views have been independently formed and articulated in this report. Any errors are our own.
Firms themselves benefit from productivity growth, or growth in value added per worker. In view of long-term demographic shifts and the tight labor markets of today, labor productivity is a strategic imperative.2“Dependency and depopulation? Confronting the consequences of a new demographic reality,” McKinsey Global Institute, January 2025. And productivity growth is the only way for businesses to serve all their stakeholders, delivering rising wages for their workers, increased customer surplus, and profit. Customers and employees are typically the biggest and most immediate beneficiaries of productivity growth. Productivity growth is a win-win for all.
This research finds that a relatively small number of firms making bold strategic moves generated the majority of productivity growth in the period we studied, in powerful bursts rather than in a smooth trickle of gradual change, and through strategic moves, top-line growth, and portfolio shifts more than efficiency gains. This was a more concentrated, dynamic, and sporadic pattern than existing literature tends to highlight, with progress on productivity being defined by a few firms moving a mile rather than many firms moving an inch. Single firms can move the productivity needle for entire economies—the “power of one.”
Looking at four sectors in three countries. We look at large firms in Germany, the United Kingdom, and the United States operating in four sectors—retail, automotive and aerospace, travel and logistics, and computers and electronics—and, within them, 12 subsectors.
Looking through a window of 8,300 large firms into the economy. We look at a sample of about 8,300 large firms (all with more than 50 employees, and most with more than 500) that cover the two-thirds of value added generated by large firms in our focus sectors. We do not include micro-, small, and medium-size enterprises (MSMEs) or startups, which account for less than 30 percent of the productivity growth in the four sectors in the three countries in our scope.4National statistics authorities define MSMEs as firms with fewer than 500 employees in the United States and fewer than 250 employees in Germany and the United Kingdom. We include the international operations of these firms with the aim of providing an accurate analysis of this lab economy rather than twisting ourselves into knots reconciling data with national statistics. Nonetheless, productivity growth in our sample is reasonably in sync with those.
We apply the economic definition of labor productivity as real gross value added (GVA) per worker, which is very different from profitability or efficiency and includes the impact of employees moving across firms. Our methodology comes with strengths and weaknesses (see sidebar “A new firm-by-firm lens on productivity growth”). First, we look at 8,300 large firms covering two-thirds of GVA in four sectors—retail, automotive and aerospace, travel and logistics, and computers and electronics—in three countries: Germany, the United Kingdom, and the United States.5From a sample of about 8,300 firms, 900 are in the US sample, about 3,000 in the German sample, and some 4,400 in the UK sample. These are not complete samples of each country’s economy and also include multinationals. Second, we look at 2011–19, a period that may miss more recent market trends but that helps us identify productivity patterns that may hold over time. We have, if you like, constructed a “lab economy” for this research in a bid to discern what drives productivity and economic growth. Our findings prove robust under a gamut of tests.
A few firms shape the lion’s share of an economy’s productivity growth
Standouts. Productivity Standouts are firms that added at least one basis point to their national sample’s productivity growth in 2011–19. Standouts fall into four categories depending on how they have impact:
Improvers. Large firms—in the top 10 percent by the number of employees—that contributed mostly by increasing their productivity levels.
Disruptors. Smaller firms, typically with less than 1 percent of the employment share in their sector, that contributed mainly by increasing productivity rapidly.
Scalers. Firms contributing mostly by increasing employment share throughout the period from a position of above-average productivity, often in the top quintile of employment-weighted productivity levels.
Restructurers. Firms contributing by lowering their employee share throughout the period (or exiting) while having below-average productivity.
Stragglers. Productivity Stragglers are firms that made negative contributions of at least one basis point to the productivity growth of their respective national samples in 2011–19.
Frontier firms. The most productive companies in each sector, specifically those in the top 20 percent (top quintile) by productivity, weighted by employment, in both 2011 and 2019. Note that a Standout firm is not necessarily a frontier firm. In fact, two-thirds of Standouts in our sample were not in this top quintile.
Approaching this topic from a distinct analytical angle led us to develop a specific terminology for certain firms in our sample. To help readers navigate what follows, we begin with a brief overview of these definitions (see sidebar “Glossary of firm descriptions”).
Productivity advances one firm at a time
Fewer than 100 firms in our sample of 8,300—a group that we have dubbed Standouts—accounted for about two-thirds of the positive productivity gains in each of the three country samples we analyzed. Standouts are defined as firms that added at least one basis point to their national sample’s productivity growth.
To give a sense of how important a single firm can be, just another dozen or so of the largest Standouts could have doubled productivity growth in their entire country.
The number of firms that were responsible for the largest drags (negative contributions of at least one basis point) on productivity growth—we call them Stragglers—was even smaller. Only 55 Stragglers accounted for 50 to 65 percent of the firm-level productivity drag in the three country samples (Exhibit 1).
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A series of stacked bar charts displays the contribution of firms to productivity growth in the United States, Germany, and the United Kingdom. The charts show that a small number of firms—the Standouts and Stragglers—accounted for a disproportionate share of productivity growth and degrowth. In the United States, 5 firms (Standouts) accounted for 78 percent of positive growth, while two firms (Stragglers) accounted for 57 percent of negative growth. In Germany, a very small number of Standouts contributed 65 percent of the positive growth and Stragglers contributed 66 percent of the negative growth. Finally, in the United Kingdom, the very few Standouts accounted for 45 percent of positive growth, while Stragglers accounted for 48 percent of negative growth. The exhibit highlights that a small percentage of firms had a significant impact on overall productivity growth. The chart also shows Standouts and Stragglers made a significantly larger contribution to employment than other firms in the sample.
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In the United States, for instance, 44 Standouts—5 percent of sample firms, accounting for 23 percent of employment share—generated 78 percent of positive productivity growth. And 14 Stragglers—2 percent of sample firms, accounting for 10 percent of employment—were responsible for 57 percent of negative growth (Exhibit 2). US Standouts included household names like Apple, Amazon, The Home Depot, and United Airlines.
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A step chart displays the contribution of firms to the US sample’s productivity growth from 2011–19. The chart shows that 44 Standout firms (5 percent of the sample) account for nearly 80 percent of the positive productivity growth, while 507 firms (55 percent) account for the rest of the positive growth. Fourteen Straggler firms accounted for 57 percent of negative growth, with 349 firms contributing the rest. The overall country sample productivity growth was +2.1 percentage points.
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Standouts shape sector dynamics, and vice versa
The same patterns appear when we look at subsectors. The ratio of Standouts (and their contribution) to Stragglers (and their drag) was the clearest factor in driving fast productivity growth. In almost all subsectors experiencing rapid productivity growth (defined as 2 percent per year or more), Standouts drove the bulk of that growth, and there was less drag from Stragglers (Exhibit 3).
High growth
The US computers subsector posted the most productivity growth of any in our sample and it came from Standouts. The relationship between healthy productivity growth and the presence of Standouts was also evident in US semiconductors and electronic equipment.
Low growth
In comparison, productivity growth in the German electronic equipment and semiconductors subsectors was limited. There were fewer Standouts and more Stragglers.
Negative growth
In these subsectors, there were many Stragglers and each imposed a significant drag on productivity growth. Examples are German travel and UK other transport manufacturing.
Exhibit 3
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A table displays subsector productivity growth and contribution by Standouts and Stragglers in the United States, Germany and the United Kingdom. The data shows that a healthy contribution from Standouts and less from Stragglers mattered for subsectors’ productivity growth. The table is shown in three parts. The first one focuses on subsectors with high productivity growth. For example, the US Computers subsector shows 8 percent productivity growth and an 8.1 percentage point contribution from only five Standouts. The table shows the number of firms contributing positively or negatively, as well as the ratio of Standouts to Stragglers for each subsector.
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The second part of the table shows subsectors with low productivity growth. It includes grocers and apparel firms for the three countries, among other subsectors.
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The last part of the table shows subsectors with negative productivity growth, where Stragglers contribution to negative growth outweighs the positive impact of Standouts. Travel in Germany and other transport manufacturing in the United Kingdom have the most negative growth.
The thousands of firms that are neither Standouts nor Stragglers also matter collectively
About 10 percent of firms accounted for 90 percent of productivity growth in the period studied. Looking at all firms, about 50 percent increased productivity faster than the sector average. Indeed, 20 percent of all firms increased productivity 1.5 times faster than the sector average while also increasing their employment share.
Being large helps, but size alone is not sufficient to be a Standout. Large firms did not make an outsize contribution for their employment share. For example, in the United States, the top 10 percent of firms by size that made positive contributions had 54 percent of the employment share but accounted for only 68 percent of positive productivity growth. Meanwhile, US Standouts had a 23 percent share of employment but accounted for 78 percent of positive growth. In fact, large firms are as likely to be Stragglers as Standouts, which explains this pattern.
Including MSMEs would not have changed the disproportionate impact or identity of Standouts in our sample, partly because each individual MSME is too small. In the national statistics for the sectors in our scope, MSMEs collectively accounted for less than one-third of productivity growth. In short, in our sample, a handful of Standouts out of a million firms would account for more than half of productivity growth. This is a much more extreme concentration than commonly appreciated.
Scaling more productive business models or technologies. Examples include Apple shaping the mobile internet wave, Amazon shaping e-commerce, Zalando successfully scaling e-commerce in apparel, and easyJet helping to set the low-cost carrier trend.
Shifting regional and product portfolios toward the most productive businesses or adjacencies. Examples include doubling down on product lines that have higher customer value relative to the hours needed, such as Nissan expanding electric vehicle (EV) offerings in automotive, and other players doing likewise for SUVs; Apple and Broadcom shifting their product portfolios to higher-margin services; General Motors exiting unprofitable geographies; and Amazon venturing into cloud computing through Amazon Web Services (AWS).
Reshaping customer value propositions to grow revenue and value added. This strategy can be effective in both high-end niche segments and mass markets, and it often comes in response to trends or competitive attack. Examples in mass markets include US retailer The Home Depot improving customer experience both in-store, with a wider assortment and denser network, and online, integrating buying online and picking up in-store; and UK supermarket chain Tesco responding to pressure from hard discounters in addition to cost reduction, portfolio adjustments, and price reductions by improving the premium assortment offering and fully leveraging its convenient locations. US airlines including Delta and American Airlines provided distinct value propositions and value-added services to loyalty customers. In niche segments, examples include Nvidia building a winning value proposition for graphics processing units (GPUs) and scaling it up; Zeiss providing cutting-edge tech in extreme ultraviolet (EUV) lithography; and Danaher in high-tech life sciences.
Building scale and network effects. Examples of firms offering more for less include Amazon scaling its fulfillment capabilities to make them available to more shoppers and partner retailers; logistics conglomerate Hapag-Lloyd driving growth through acquisitions and geographic expansion; and US airlines improving route networks and aircraft capacity utilization, including through mergers.
Transforming operations to raise labor efficiency and reduce external cost at scale. Examples include Tesco’s multibillion-pound cost-reduction program (in addition to competing on price and quality with discounters) and easyJet’s fleet modernization to reduce operating cost (alongside shaping a winning customer value proposition). While this is the lever most commonly associated with productivity growth—at least among businesses—it was very rarely the most important one in our case studies.
These moves often trigger chain reactions that lead to bursts of productivity over specific periods and sectors in a pattern of “action and response” more than through the diffusion of practices. For instance, the entrance of digital players and discounters in the UK retail sector not only directly boosted productivity in that economy but also prompted responses from other firms, one instance being Tesco enhancing its own offering with a stronger online channel and deeper customer relationships through loyalty and personalized offers.
Firms in different parts of the productivity curve made bold strategic moves, which help to explain their movements along that curve. Take the retail sector as an illustration (Exhibit 4). In US retail, firms such as Amazon, Costco, and The Home Depot were Standouts in the productivity frontier. In German retail, Standouts carried out bold strategic moves and transitioned to the frontier. Examples include Zalando, which scaled up its e-commerce business from negative productivity levels and traveled all the way to the frontier, and REWE, which launched and scaled digital offerings even while expanding its brick-and-mortar business. In UK retail, contributions also came from Standouts outside the frontier, one instance being Tesco.
In US retail, Standouts tended to be in the productivity frontier in both 2011 and 2019.
In German retail, Standouts carried out bold strategic moves and transitioned to the frontier by 2019.
In UK retail, contributions also came from Standouts persistently outside the frontier.
Exhibit 4
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A series of three exhibits shows the productivity, measured in real value added per employee, of sample retail firms in the United States, Germany, and the United Kingdom from 2011–19. It also shows employment share of each firm as a percentage of the sample’s total in its country. The first part of the exhibit shows retail firm productivity in the United States, based on a sector sample of about 200 firms. In 2011, the sector’s average productivity per employee was $39,000, and in 2019 it was $44,000. Overall, retail in the United States was led by a vibrant frontier of e-commerce and traditional retailers.
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The second part of the exhibit part shows retail firm productivity in Germany from 2011–19, based on a sector sample of about 800 firms. In 2011, the sector’s average productivity per employee was €40,000, and in 2019 it was €43,000. Overall, German retail benefited from a notable increase in productivity levels among traditional grocers and e-commerce leaders.
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The third and last part of the exhibit part shows retail firm productivity in the United Kingdom from 2011–19, based on a sector sample of about 1,700 firms. In 2011, the sector’s average productivity per employee was £34,000, and in 2019 it was £32,000. Overall, retail in the United Kingdom experienced traditional grocers and retailers contributing from outside the frontier.
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Leading firms and the dynamic reallocation of employees toward them matter for growth
Beyond the presence of Standouts and absence of Stragglers, the following patterns characterized subsectors and countries that posted rapid productivity growth:
US sample firms led on productivity growth with more Standouts, fewer Stragglers, and more reallocation
US productivity growth from 2011 to 2019 was faster than that of the other countries in our sample at 2.1 percent, compared with 0.2 percent in Germany and close to zero in the United Kingdom. Two patterns help explain this difference, as follows:
The US sample had three times more Standouts than Stragglers, while the German and UK samples had almost even numbers. This was largely due to the strong US computer and electronics sector, which accounted for about half the Standouts in the United States and most of the difference in the total number compared with Germany and the United Kingdom. This could reflect the more vibrant US innovation ecosystem—the market is less fragmented, regulation is more innovation- and investment-friendly, and the risk-capital system is well developed. But even beyond this special sector, the same pattern is present.21Excluding the computer and electronics sector, the United States had 1.3 times more Standouts than Stragglers, while both Germany and the United Kingdom had more Stragglers than Standouts.
Firms in the US sample had more reallocation of employees from less productive to more productive firms. Leaders grew faster, and underperforming firms more swiftly restructured or exited. In the United States, Standouts include scalers (firms far above average sector productivity that contribute by gaining employees) and restructurers (firms with below-average sector productivity that contribute by losing employees). In Germany and the United Kingdom, this was not the case. Rather, these countries preserved underperforming firms as Stragglers. Frontier firms scaling and gaining share added 0.6 percentage point to productivity growth in the United States, and unproductive firms exiting contributed an additional 0.5 percentage point. Overall, dynamic reallocation, including reallocation across subsector boundaries, added 0.9 of 2.1 percentage points—slightly less than half—to productivity growth in the US sample.22This analysis differs from examining individual subsectors as we did above, because it also captures the impact of movement across them. We look at our lab economy only and do not know the impact of employees leaving or entering firms outside the sample. In contrast, the contribution of reallocation was negligible in Germany and the United Kingdom (Exhibit 5). This may be explained by the fact that the United States has highly dynamic factor markets, allowing for quick entry and exit as well as fast scale-up and restructuring.
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An exhibit shows a horizontal waterfall chart showing firm contribution to the national sample productivity growth in the United States, Germany, and the United Kingdom from 2011–19. The chart breaks down productivity growth into firm productivity effect and reallocation effect. Each country's contribution is further broken down by the source of the impact: contribute from the frontier, contribute from outside the frontier, transition to frontier, transition from frontier, entry, and exit. For the United States, the firm productivity effect contributed 1.2 percentage points to the national sample’s total productivity growth, while the reallocation effect contributed an additional 0.9 percentage points, resulting in 2.1 percentage points of total productivity growth. The sample size for the United States was 914 firms. Germany's total productivity growth was 0.2 percentage points, comprised of 0.3 percentage points from the reallocation effect and –0.1 from the firm productivity effect; its sample size was 2,970 firms. In the United Kingdom, total productivity growth was 0, with the reallocation effect contributing 0.2 percentage points and the firm productivity effect contributing –0.2; its sample size was 4,408 firms. A major takeaway from the exhibit is that reallocation from exiting firms to the frontier played a big role in the US.
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A new productivity growth playbook emerges
Business leaders and policymakers should focus on productivity growth because it is a win-win for all, and achieving it requires a micro-to-macro, firm-level approach. This research both builds on and diverges from the large body of work on productivity in important ways.
Firms boosting productivity deliver a win-win for employees, customers, shareholders, and economies
Firms rightfully focus on revenue, economic profit, and shareholder value, but they should also care about productivity growth for the following three reasons:
Economic growth is a key ingredient in business expansion and success. This research shows that just a handful of Standouts can create that growth rather than just react to it.
A bar chart displays the compound annual growth rate (CAGR) of productivity, nominal wages, and nominal profits per employee from 2011-19, categorized by firm type in Germany and the United Kingdom. The chart highlights that firms in the top quintile of productivity growth experienced significantly higher growth in both wages (7.8 percent) and profits (15.7 percent) compared to the average (2.8 and 2.3 percent, respectively). Conversely, firms in the bottom quintile showed negative growth across all three metrics (–6.3, –0.8, and –7.8 percent respectively). The data supports the assertion that higher productivity growth correlates with stronger wage and profit growth.
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Our findings prompt new ways of thinking on how to unlock productivity growth
Six shifts in the conventional wisdom on productivity growth emerge from our findings (Exhibit 7). Some of them challenge prevailing views—for example, the shift from seeing productivity generated through improvements within the broad swath of companies through the diffusion of practices to seeing productivity arising from the bursts of just a few firms. Others add renewed emphasis or nuance, such as the importance of dynamic reallocation mostly toward well-established leading firms as well as entries and exits.
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An exhibit presents six paradigm shifts in thinking about productivity growth, each accompanied by an illustration and an overarching question. The first shift highlights that productivity growth is driven by a few firms rather than a broad swath. The second focuses on the importance of incumbent improvers alongside superstars and disruptors. Thirdly, the need for bold action, and response instead of mere imitation is emphasized. The fourth shift highlights the importance of strategy, portfolio shifts, and value creation over efficiency. Fifth, the exhibit notes that scaling existing innovation is more crucial than creating new entrants. Finally, it emphasizes reallocation of resources to leading businesses as much as internal improvements. Each shift is accompanied by a corresponding overarching question probing the conditions necessary for success in each area.
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Each of the shifts in thinking raises the following critical questions for business and policy leaders:
Incumbent improvers as much as superstars and disruptors. Our analysis suggests that there is a diversity of ways to become a Standout, and all are needed for national (or sector) productivity growth. The majority of Standouts are large incumbents achieving productivity gains over time (improvers) like Tesco and United Airlines. Only about 20 percent are scalers that lead from the front (these scalers could be most similar to superstars, which are often defined as firms with the greatest share of economic profit) like Amazon and Apple.26For common descriptions and analyses of superstar firms, see “‘Superstars’: The dynamics of firms, sectors, and cities leading the global economy,” McKinsey Global Institute, October 2018, which defines superstar firms as the ones with the greatest share of economic profit; and David Autor et al., “The fall of the labor share and the rise of superstar firms,” The Quarterly Journal of Economics, volume 135, issue 2, May 2020. Some definitions of superstar firms are that they (1) have the largest revenue market share or profit pool share; (2) achieve the greatest gains in market share or marginal improvements in productivity; or (3) leverage their size to propel productivity growth, driving down marginal costs of expansion and gaining even more market share in the process. An additional 10 percent of Standouts are smaller disruptors (which are still far larger than any MSME) like Zalando. How can large incumbents remain agile and innovative enough to remain or become Standouts?
Bold action and response more than imitation. Some imitation and diffusion of best practices from leaders to laggards occur, but the real engine of productivity growth is bold, idiosyncratic strategic moves to which competitors then respond. To better shape or respond to newly emerging technologies and business models, what can firms do, and what is the role of policy? What talent strategies and educational policies can nurture technology and innovation capabilities as well as managerial leaders who can make bold strategic moves?
Strategy, portfolio shifts and value creation more than efficiency. Operational efficiency matters, but firm-level productivity growth largely comes from strategic moves that unlock more productive business models and portfolios, customer value, or innovation at scale. How can firms reinvent business models and customer value as they seek productivity advances from new technology, including artificial intelligence? Where and how can M&A play a role?
Scaling innovation more than creating new entrants. Innovation by young companies that then grow fills the funnel of future Standouts, but it is Standouts scaling innovations that power productivity growth in the medium term. Businesses need to have the right strategy and deploy at scale. What is the right policy balance between preventing excessive market concentration and encouraging leading firms that can move the needle for their home economies? Could there be more proactive approaches to support innovative MSMEs or startups that could scale and contribute to growth while triggering consolidation of others? How can businesses strengthen the capabilities and ecosystems needed to deploy innovation at scale?
Dynamic reallocation toward leading firms and business units as much as internal improvements. Firms increasing their productivity level matters for growth, but an equally important channel is the exit of unproductive firms and moves of employees (and capital as well as customers) from less productive to more productive enterprises. Within firms, too, shifting resources to higher-value activities is key. Can business leaders rethink their governance to allow decisive resource reallocation? What policies can support dynamic shifts in jobs to the most productive firms and help less productive ones turn around or restructure?
By looking through a firm-level lens with detailed case studies on the perennial issue of productivity, new insights and fresh ways of thinking about productivity growth have emerged. We hope that this research helps to advance understanding of productivity growth and suggests ways forward—and, certainly, areas for further debate and research.
Jan Mischke is a Mckinsey Global Institute (MGI) partner and is based in McKinsey's Zurich office, Chris Bradley is a director of MGI and a senior partner in the Sydney office, Olivia White is a director of MGI and a senior partner in the Bay Area office, Guillaume Dagorret is an MGI senior fellow and is based in the Paris office, Sven Smit is the MGI chairman and a senior partner in the Amsterdam office, Dymfke Kuijpers is a senior partner in the Boston office, Charles Atkins is a partner in the Bay Area office, and Ishaa Sandhu is a consultant in the Sydney office.
This report was edited by MGI executive editor Janet Bush with data visualizations by Juan M. Velasco.