THE RISE OF THE AI-POWERED COMPANY IN THE POSTCRISIS WORLD
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THE RISE OF THE AI-POWERED COMPANY IN THE POSTCRISIS WORLD By François Candelon, Tom Reichert, Sylvain Duranton, Rodolphe Charme di Carlo, and Midas De Bondt F or some companies, global shocks have historically brought moments of truth. They can rapidly alter the business into their value chains. Consumers will pur- chase more and more goods and services online. And increasing numbers of people landscape and the terms of competition, will work remotely. often in ways that aren’t immediately apparent. But companies that make bold We believe that the application of artificial moves during challenging times can turn intelligence will be immensely valuable in adversity into advantage. The SARS helping companies adapt to these trends. outbreak of 2003 is often credited with Advanced robots that can recognize objects giving rise to e-commerce giants such as and handle tasks that previously required Alibaba and JD.com, for example, while humans will promote the operation of fac- companies such as American Express and tories and other facilities 24/7, in more lo- Starbucks pivoted during the global cations and with little added cost. AI-en- financial crisis of 2008−2009 to digital abled platforms will help companies better operating models that enabled them to simulate live work environments and cre- thrive and dramatically increase sharehold- ate on-demand labor forces. Through ma- er value. chine learning and advanced data analyt- ics, AI will help companies detect new In this sense, COVID-19 is likely to be no consumption patterns and deliver “hyper- different from other crises. It will greatly personalized” products to online custom- accelerate several major trends that were ers. The most successful use cases will be already well underway before the outbreak those that seamlessly combine AI with hu- and that will continue as companies shift man judgment and experience. their focus to recovery. For instance, rather than heavily concentrating sourcing and Some companies that are on the forefront production in a few low-cost locations, of these trends and have already begun the companies will build more redundancy AI journey will thrive in the post-COVID
world. Again, history provides a guide: Why AI Will Be a Must in the during the four previous global economic Post-COVID World downturns, 14% of companies were actual- Most companies already have extensive ex- ly able to increase both sales growth and perience with digital applications such as profit margins, according to Boston Con- automation and basic data analytics. But sulting Group research. (See Exhibit 1.) The AI, which enables machines to solve prob- majority of companies, however, are at the lems and take actions that in the past could very early stages of the journey—or have only be done by humans, goes far beyond yet to begin. that. AI tools analyze immense volumes of data to learn underlying patterns, enabling Success will not be easy. Some companies computer systems to make complex deci- have already launched AI use cases that sions, predict human behavior, and recog- will be helpful in the current crisis. The nize images and human speech, among challenge will be to scale them up. Those many other things. AI-enabled systems also that do will be better able to navigate un- continuously learn and adapt. certain supply and demand, adjust to dis- ruptions in operations and supply chains, These capabilities will be enormously valu- allocate their workforces, and adapt to able as companies confront and adapt to sharp changes in consumer confidence and the new reality of the current crisis and its priorities. aftermath. (See Exhibit 2.) This new reality will significantly impact companies’ costs, Digital natives may have an initial edge. revenue, and operating models. Below we Other companies will have to act quickly to assess how the global business landscape is acquire the skills, capabilities, and ways of changing along three dimensions—value working needed to begin the AI journey. chain redundancy, shifting consumption patterns, and remote ways of working— Regardless of their starting point, compa- and the role that AI can play in enabling nies must look beyond the COVID-19 crisis companies to thrive and seize competitive and begin focusing on transformations that advantage in this new environment. (See put AI at their core. Exhibit 3.) Exhibit 1 | Across Industries, Some Companies Thrive During Crises During downturns, 14% of companies improve … and that holds true across industries both growth and margins during crises… Increasing n tio gy y U ces ica sales growth er nar st su re En tio , di nsu s Co les er re er ls l ls Co ca i n Co ria ia ap m sc m rv u ia es se mm nc lth st er iti T1 du na n at ea til IC M In Fi H 32 28 14% 14% 36 34 45 47 46 45 54 53 Shrinking Expanding Avg. EBIT margin EBIT margin 44% 41 48 57 50 39 41 41 44 44% 28% 34 37 Avg. 22 20 14% 16 16 14 14 12 11 11 10 Falling Falling growth and EBIT margin (%) sales growth Other (%) Increasing growth and EBIT margin (%) Sources: S&P Compustat and Capital IQ; BCG Henderson Institute. 1Information and communications technology. Boston Consulting Group | BCG Henderson Institute 2
VALUE CHAIN REDUNDANCY equated with waste. But recently, rising eco- Not long ago, optimizing cost and time was nomic nationalism and trade barriers (two the overarching objective in the design of aspects of the “new globalization”) began global manufacturing footprints, supply forcing companies to rethink their supply chains, and logistical support. Often, that chain strategies and rediscover the merits meant concentrating production in high-vol- of redundancy. The COVID-19 crisis, which ume factories in one or two low-cost na- has disrupted global supply chains, has tions. Inventory and excess capacity were moved redundancy higher up on compa- Exhibit 2 | How AI Can Support Companies Challenge How AI can help Use case example Uncertain and variable • Update forecasts in real time • Digital control towers and supply and demand • Accelerate decision making decision support Operations and supply • Flexibly reallocate resources • Real-time value chain disruption • Improve cost efficiency optimization Suboptimal workforce • Optimize remote offerings • Labor allocation analytics allocation • Reallocate workforce Changing consumer • Rapid response to new behavior • Real-time product customization confidence and priorities Source: BCG analysis. Exhibit 3 | The COVID-19 Crisis Is Accelerating the Shift to a New Reality New reality How AI can help • Uncertainty requires redundancy, which • AI enables the greater scale and scope needed to inevitably means increased costs build redundancy while minimizing cost • Consumption patterns are moving toward • AI optimizes detection of new consumption e-commerce and other digital models patterns and allows for hyperpersonalization • Consumers may increasingly distinguish • AI can improve R&D, innovation, and new-product essential from luxury items development • Remote ways of working are becoming the • AI-based companies are equipped for new ways new normal of working • On-demand labor is becoming more important • AI enables on-demand labor through more precise sales and supplier predictions Source: BCG analysis. Boston Consulting Group | BCG Henderson Institute 3
nies’ agendas as a means of reducing risk tions to reignite topline growth. Thanks to and weathering the next global shock. its ability to analyze data from myriad sources, AI has unparalleled potential to But redundancy and duplication entail sig- discover emerging trends and identify nificant cost. AI offers the potential for changes in consumer preferences. Even in a companies to build resilience into manu- human-centered industry like fashion, facturing operations and supply chains, some companies are augmenting their while at the same time minimizing cost business intelligence capabilities with AI to and damage to margins. AI enables manu- amplify weak signals and detect trends ear- facturers to optimize cost in each factory ly on, such as which colors are likely to be through predictive maintenance and better popular in the coming season. AI also en- planning. It also allows them to operate a ables companies to hyperpersonalize prod- larger number of small, efficient facilities ucts in order to improve customer engage- nearer to customers—rather than a few ment and sales. Starbucks’ Deep Brew massive factories in low-wage nations—by platform, for example, makes coffee sug- deploying advanced manufacturing tech- gestions based on the weather, the time of nologies such as 3D printing and autono- day, or a customer’s previous purchases mous robots that require few workers. and taste profile. A leading shoe manufacturer, for example, AI can also enhance the ideation process illustrates AI’s potential to boost scale at involved in creating new product offerings, minimal additional cost. The company now and it can significantly accelerate R&D in assembles some of its shoes 20 times faster industries such as pharmaceuticals, which using advanced robots that can recognize, has traditionally relied on a lengthy tri- pick up, and stack a wide variety of materi- al-and-error process to develop new drugs. als—tasks that were previously done by hu- Makers of fast-moving consumer goods are mans. What’s more, factories of the future analyzing the gold mine of consumer data will increasingly be able to operate around on Alibaba’s TMIC consumer analytics the clock, reducing the risk of closure platform to develop new products tailored forced by health crises. to Chinese consumers (such as a chili-fla- vored Snickers candy bar) and to monitor CHANGING CONSUMPTION the performance of new products. Finally, PATTERNS AI-enabled generative design can autono- The pandemic is already drastically alter- mously identify an optimal product design ing consumption habits worldwide—and from a set of system requirements in the affecting companies’ revenues—as people development of everything from buildings make more purchases online and consume and chairs to aircraft components. food and beverages exclusively at home. Amazon is dramatically ramping up its ful- REMOTE WAYS OF WORKING fillment capacity, while online grocery mar- Some of the massive shift to remote work ketplaces in China are reporting huge in- due to the pandemic may be temporary. creases in deliveries of fresh vegetables. But much of it will persist as more people Movies are being released for digital experience the benefits of avoiding hour- streaming without even being released in long commutes and more managers find theaters, and fitness companies such as they can work effectively from home. The Peloton and Hydrow are launching digital flexible working arrangements and on-de- home-fitness services. What’s more, long mand labor models associated with the so- periods of forced isolation, combined with called gig economy will become more com- anxiety about an economic recession, could mon. cause consumers to cut back on luxury items in favor of essentials. Companies will need to leverage innova- tive ways of engaging human resources to As their focus shifts to recovery, more com- mitigate the risk of further disruptions and panies are likely to deploy AI-enabled solu- remain competitive. AI is no silver bullet Boston Consulting Group | BCG Henderson Institute 4
for implementing new ways of working, but Companies must apply AI at scale to un- it can play an important role. To begin lock the value of data, and they must oper- with, AI-powered companies have natural ate in an agile manner at scale to enable advantages in remote work situations be- nimble, data-driven teams. Companies also cause they tend to be built around modu- need the right supporting IT infrastructure. larity and agility, which are prerequisites to They should migrate away from legacy en- success in software-centric businesses. AI terprise resource planning (ERP) platforms, also supports online marketplaces for high- with modules that typically are poorly in- skilled, on-demand labor. Upwork, for in- terfaced, toward data management centers stance, is an AI-enabled platform that con- of excellence that pool and provide data nects freelance professionals with potential throughout the organization. Success in employers, while Google’s Kaggle allows an this transition will require a strong focus online community of data scientists and on change management. According to joint machine-learning practitioners to collabo- BCG and MIT research, to a good rule of rate and solve data challenges. Finally, AI thumb is to dedicate around 10% of AI in- tools enable companies to use predictive vestment to algorithms, 20% to technology, analytics to more precisely forecast sales and 70% to business process transforma- and operational challenges, such as labor tion. needs and supply disruptions. Five Principles for Building a Putting AI at the Core of Busi- Human-Powered AI Company ness and Operating Models We believe a successful AI-centered operat- The current crisis and its aftermath should ing model needs to integrate human judg- motivate companies to adjust their busi- ment and experience at its core. Here are ness models to the new reality. Winners five guiding principles to building what we will reinvent themselves by putting soft- call a “human plus AI” operating model. ware, data, and AI at the core of their orga- nizations. Digitally native companies can 1. Bring leadership onboard by building serve as inspiration. AI is already at the the case for change. Strong leadership heart of some leading ride-hailing plat- commitment is key to successful transfor- forms, for example, identifying the best mations. One powerful way for the leader routes, onboarding drivers, and even help- of an AI initiative to convince the CEO or ing to detect fraud. Some long-established board to support bold moves is to demon- incumbents in sectors as diverse as mass strate how little the company is gaining retail and consumer finance are now trans- from AI compared with its competitors. A forming themselves in preparation for an simple acid test: ask the CEO or board AI-based future. members if they can identify at least two critical, strategic processes where the Such a transformation requires that AI be consensus is that AI can make a real regarded as central to the business model difference—an impact of $100 million, say. that differentiates a company and defines Then ask if they think the company has how it creates value, as well as to its oper- made progress on those fronts. Failure to ating model—the systems, processes, and answer yes to both questions means the capabilities that deliver value. Data must company isn’t doing AI right and dramatic underlie every aspect of the operating change is needed. model, providing critical input to a broad range of tasks while also allowing for a 2. Reimagine the organization with AI at smaller-scale organization. In Competing in its core. Once a company’s leadership has the Age of AI, Marco Iansiti and Karim come to support bold change, it should Lakhani call on companies to build an “AI consider another disruptive question: How factory,” which they describe as a “scalable would a new AI-based firm provide the decision engine that powers the digital op- same, or enhanced, value to its customers? erating model of the 21st century firm.” Answering that question requires a shift Boston Consulting Group | BCG Henderson Institute 5
away from the traditional tradeoff between from the top down. Trying to augment scale and marginal costs. Everything should preexisting workflows and legacy ERP be based on human plus AI—so long as AI platforms by “plugging in” AI is a mistake. adds value. As Alibaba’s chief strategy Realizing the potential of AI requires officer, Ming Zeng, has said, “Your firm consistent, companywide application. And must enable as many operating decisions while the top-down redesign of organiza- as possible to be made by machines fueled tional structures allows for the elimination by live data.” of unnecessary layers, that doesn’t mean everything has to go. Certain applications 3. Transform into a human-powered AI and infrastructure that have strong inter- company. Even with AI placed at the core, faces and are able to connect with the it is crucial to avoid a “zero-human mind- central data infrastructure can be retained. set.” Indeed, the human role must be But these features should be assessed after elevated to ensure that there is no area in the redesign, and the desire to retain them which AI operates unchecked. Even the cannot be allowed to influence the trans- most autonomous algorithms and applica- formation. tions need humans to provide the contextu- al understanding and expertise that AI 5. Prepare people now for the change. typically lacks, and to guard against bad AI systems require a fundamentally differ- judgment or biases. At one point during ent mindset and new capabilities. Prepar- the COVID-19 crisis, for example, website ing employees for change is critical. An traffic on a popular British online grocery absence of leadership and organizational marketplace soared fourfold. The compa- support can cause users to detach, cede ny’s AI-based cybersecurity software responsibility, and avoid risk. Companies interpreted this spike as evidence of a must provide employees with on-the-job denial-of-service attack and acted to block learning opportunities to master new skills. new transactions. Fortunately, company At a bare minimum, they must understand staff were standing by to correct that what AI can and cannot do so they’re able mistake. to work with the new technology. AI must be augmented by the imagination and interpretation of human beings. Com- panies should refocus its people on tasks that add the most value, such as designing A BCG survey of responses to the COVID-19 crisis found that most com- panies have focused so far on reactive mea- algorithms, reshaping processes to imple- sures. But now is the perfect time to take ment human plus AI integration, strategi- bold, transformative action. Companies cally monitoring AI inputs and outputs, and that have already introduced AI use cases engaging in holistic decision making that should press ahead immediately in order to takes into account second-order implica- achieve maximum impact in the near term. tions. A good example of how human plus They should not hesitate to scale up, be- AI can work together is forecasting in the cause AI will be a significant lever that can fashion industry. AI can reduce forecasting help them manage this crisis. Unless they errors by 25%, but not all fashion trends can are digital natives that already have AI at be detected by mining historical data. In their core, companies should view the cur- our work with one company, we found that rent slowdown in day-to-day operations as combining AI with human expertise could an opportunity for strategic reflection reduce forecasting errors by 50%. about how value creation mechanisms are changing—and how to prepare for the 4. Contain or discard legacy processes. postcrisis world. They should start prepar- When reinventing the company for AI, it is ing and reskilling their people and increas- important to redesign legacy processes, ing their loyalty, enthusiasm, and long-term technology, and organizational structures value in the coming age of AI. Boston Consulting Group | BCG Henderson Institute 6
About the Authors François Candelon is a managing director and senior partner in the Paris office of Boston Consulting Group and the global director of the BCG Henderson Institute. You may contact him by email at candelon. francois@bcg.com. Tom Reichert is a managing director and a senior partner in the firm’s New York office and the global leader of DigitalBCG. You may contact him by email at reichert.thomas@bcg.com. Sylvain Duranton is a managing director and a senior partner in BCG’s Paris office and the global leader of BCG GAMMA, a business unit dedicated to the application of data science and advanced analytics to business. You may contact him by email at duranton.sylvain@bcg.com. Rodolphe Charme di Carlo is a principal in the firm’s Paris office, where he leads the BCG Henderson Institute’s Center for Technology and Geopolitics. You may contact him by email at charmedicarlo. rodolphe@bcg.com. Midas De Bondt is a project leader in BCG’s Brussels office and an ambassador to the BCG Henderson Institute. You may contact him by email at de.bondt.midas@bcg.com. Boston Consulting Group partners with leaders in business and society to tackle their most important challenges and capture their greatest opportunities. BCG was the pioneer in business strategy when it was founded in 1963. Today, we help clients with total transformation—inspiring complex change, enabling or- ganizations to grow, building competitive advantage, and driving bottom-line impact. To succeed, organizations must blend digital and human capabilities. Our diverse, global teams bring deep industry and functional expertise and a range of perspectives to spark change. BCG delivers solutions through leading-edge management consulting along with technology and design, corporate and digital ventures—and business purpose. We work in a uniquely collaborative model across the firm and through- out all levels of the client organization, generating results that allow our clients to thrive. About BCG Henderson Institute The BCG Henderson Institute is Boston Consulting Group’s strategy think tank, dedicated to exploring and developing valuable new insights from business, technology, and science by embracing the powerful tech- nology of ideas. The Institute engages leaders in provocative discussion and experimentation to expand the boundaries of business theory and practice and to translate innovative ideas from within and beyond business. For more ideas and inspiration from the Institute, please visit https://www.bcg.com/featured-in- sights/thought-leadership-ideas.aspx. © Boston Consulting Group 2020. All rights reserved. 4/20 For information or permission to reprint, please contact BCG at permissions@bcg.com. To find the latest BCG content and register to receive e-alerts on this topic or others, please visit bcg.com. Follow Boston Consulting Group on Facebook and Twitter. Boston Consulting Group | BCG Henderson Institute 7
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