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
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                                                                   U ces ica

                           sales growth
                                                                       er nar
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                                                                   di nsu s
                                                                   Co les er

                                                                        re er

                                                                               ls
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                                                                         lth

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                                                                        iti

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                                                                   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.

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About BCG Henderson Institute
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                     Boston Consulting Group         |   BCG Henderson Institute                            7
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