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Showing posts with label Disruptive technology. Show all posts
Showing posts with label Disruptive technology. Show all posts

Tuesday, August 6, 2013

Measuring the full impact of digital capital

Although largely uncounted, intangible digital assets may hold an important key to understanding competition and growth in the Internet era.

McKinsey & Company:

July 2013 | byJacques Bughin and James Manyika
Logo of the United States Bureau of Economic A...
Logo of the United States Bureau of Economic Analysis, a part of the Department of Commerce. (Photo credit: Wikipedia)
On July 31, 2013, the US Bureau of Economic Analysis released, for the first time, GDP figures categorizing research and development as fixed investment. It will join software in a new category called intellectual-property products.
In our knowledge-based economy, this is a sensible move that brings GDP accounting closer to economic reality. And while that may seem like an arcane shift relevant only to a small number of economists, the need for the change reflects a broader mismatch between our digital economy and the way we account for it. This problem has serious top-management implications.
To understand the mismatch, you need to understand what we call digital capital—the resources behind the processes key to developing new products and services for the digital economy. Digital capital takes two forms. The first is traditionally counted tangible assets, such as servers, routers, online-purchasing platforms, and basic Internet software. They appear as capital investment on company books. Yet a large and growing portion of what’s powering today’s digital economy consists of a second type of digital capital—intangible assets.
They are manifold: the unique designs that engage large numbers of users and improve their digital experiences; the digital capture of user behavior, contributions, and social profiles; the environments that encourage consumers to access products and services; and the intense big-data and analytics capabilities that can guide operations and business growth. They also include a growing range of new business models for monetizing digital activity, such as patents and processes that can be licensed for royalty income, and the brand equity that companies like Google or Amazon.com create through digital engagement.
Conventional accounting treats these capabilities not as company investments but as expenses, which means that their funding isn’t reflected as capital. Since the amounts spent aren’t amortized, they take a large bite out of reported income. Spending on those capabilities sometimes should be treated as capital, though, since they can be long-lived. Amazon.com’s development of an internal search process that promotes recurring sales or the efforts of Netflix to fine-tune personal recommendations to increase video viewing and retain customers are certainly more than expenses. Such capabilities, which are complex to build and replicate, can often help companies create enduring competitive strengths.
We’re acutely aware of misguided efforts to justify sky-high valuations during the late-1990s Internet bubble by claiming that finance and accounting fundamentals were no longer relevant. We also recognize that we’re far from the first to note the relationship among intangibles, company-level growth and productivity, and overall economic growth.1 What we want to suggest here is that those relationships, which once represented a small minority of business activities, are becoming the rule in the digital economy. In fact, much of today’s digital spending could pay for long-lived intangible assets that will define the competitive landscape going forward.2 The rising stakes are seen in the copyright battles between Internet and consumer-electronics companies and in major spending on patent portfolios.
Above all, we want to emphasize the importance, for many business leaders, of making the mind-set shift required to embrace the importance of digital capital fully. The disruptive nature of digital assets is intensifying in markets such as search, e-commerce, and social media (where attackers can build business models with near-limitless scale). Disruptive digital assets are also important in segments where behavioral data and user participation can be monetized, by defining entirely new business opportunities or fostering breakthroughs in collaborative innovation. As the mobile-payments start-up Square is demonstrating in the credit-card arena, increasingly, companies that deploy these assets have the potential to threaten large existing profit pools thanks to the challengers’ vastly different economics or radically new ways of doing things.

The big picture

There are parallels between what’s occurring today and during the period, 100 years ago, when electric motors gained widespread adoption. Early in that cycle, companies invested in physical motors, which like today’s servers and routers provided a new growth platform. But the more important kind of value appeared after companies began to understand how motors could change almost every process, improve productivity, and stimulate innovation. Companies that captured these benefits were more successful and more valuable than others.
Today, the market valuations of many Internet-based companies are higher than those of their counterparts in other sectors, including high tech. Many Internet leaders earn lower returns on equity than established technology companies do, yet there’s no reason to believe that markets are making irrational bets on the growth potential of digitally adept companies. As the sidebar “Valuation and intangibles: Viewing the numbers differently” illustrates, treating digital intangibles as assets rather than expenses clarifies the logic behind valuations. (We based these pro-forma valuation calculations on data compiled by academic researchers, as well as assumptions about rates of intangible and digital investment from our own and outside research.)
Macroeconomic studies we have done suggest that digital capital is not only growing rapidly but has also become a major contributing factor in global economic growth.3 We examined the national-accounts data of 40 countries, assigning values to tangible and intangible assets. In 2005, digital-capital investment represented barely 0.8 percent of GDP for those countries. This year, it will exceed 3.1 percent of GDP. Likewise, the accumulating global value of digital-capital investments has reached more than $6 trillion, about 8.5 percent of nominal world GDP. Globally, levels of digital intangible investment are more than half those of digital tangible investment. In more highly digitized economies, such as Israel, Japan, Sweden, the United Kingdom, and the United States, spending on intangibles represents two-thirds of digital capital’s total value.
This activity is starting to power growth. We estimate that digital capital is the source of more than one percentage point of global GDP growth (roughly one-third of total growth). Intangible capital already accounts for two-thirds of that slice, tangible investment for the rest. This growth flows from not only capital deepening but also increased labor productivity—a remarkable thing, since the digital economy has emerged in the relatively brief space of 15 years. By contrast, it took 80 years for steam engines to increase labor productivity to the same extent, about 40 for electricity, and more than 20 for conventional information and communications technologies.4 (For more on the relationship between capital formation and productivity, see sidebar “Innovation, capital, and productivity growth.”)

Navigating the new terrain

Intangible digital capital’s role in economic growth gives policy makers one more reason to favor investments in broadband and other forms of Internet infrastructure. Such investments correlate strongly with overall digital-capital levels. In our experience, though, the implications are even greater for executives, who often are not tuned into their organizations’ digital strengths or weakness. Few companies have gone through the internal exercise of reclassifying expenditures or segregating benefits from spending on intangibles. And of course, companies can boast a high ROE thanks to strong legacy-product margins but may nonetheless have muted growth prospects as a result of underinvesting in digital capital. To set a more effective digital course, leaders should consider the following ideas.
Take stock of your assets
Since identifying intangible assets is difficult, companies may be missing growth opportunities. Many have realized only recently that they can use social-media interactions with their best customers to leverage innovation efforts or that they may have unused data they could restructure into valuable big-data assets to sharpen business strategy. Similarly, companies should take stock of how digital capital they don’t own may be relevant to the business. A retailer that doesn’t have access to digital behavioral data on consumers, for example, may be at a disadvantage. So could a bank whose customers access products through a third-party platform that limits the bank’s ability to capture information.
Conversely, companies may wrongly assume that their growth results from conventional capital spending and therefore compromise growth by underinvesting in digital competencies. One online company, for example, stuck to a subscriber pay model in hopes of boosting returns on tangible investments such as server farms. It wound up missing a massive social-networking opportunity that would have yielded far greater returns on advertising revenues.
Our global research shows that the stock of intangible assets varies considerably by region. Some markets have larger numbers of strong digital contenders, others fewer. Companies could make those differences a factor in deciding which markets to enter and where to place digital bets.
Face up to looming threats
Assume that digital leaders in your competitive zone are relentlessly expanding their intangible assets both to attack existing markets and to create new ones. Amazon.com, for instance, won share from brick-and-mortar retailers with its ease-of-purchase model and its ability to reach long-tail customers. Now it’s launching new business models (such as Amazon Prime) to further leverage its user base and logistics capabilities. It’s also using tangible server assets to offer cloud-based labor services (Mechanical Turk) that match freelance workers with demand for their labor.
A good first step is to identify which areas of your value chain are most vulnerable—for example, service delivery or weak digital brands. Competitors can slide vertically or horizontally into large gaps, so you’ll need to build digital assets quickly as a counterweight. Even companies that have a considerable stock of digital assets should understand that capturing value from them isn’t a given. Instead, such companies must define (and relentlessly innovate with) business models that can be scaled up to match those assets.
One clue suggesting that a company might face emerging digital challenges is the existence of businesses that have unusually high levels of revenue per employee in adjacent market spaces. Amazon.com’s employee productivity, for example, is double that of traditional retailers. Netflix, similarly, generates more revenue per employee than traditional cable operators do, by leveraging intangibles such as its highly evolved recommendation algorithms. Unusual financial profiles are another warning sign. Since digital funding is counted as operating expenditure, digital leaders often have small capital-investment levels relative to their size and growth potential. They also borrow less, both because they may not need to (some reap sizable market rents from, for example, search licensing fees or patent income) and because banks may be less likely to lend against intangible assets.
Partner with care
Most companies rely on digital agencies for things like optimizing search marketing. In such cases, they may be ceding digital capital, since they never develop a full understanding of consumer segments or what inspires a customer who searches for their products. Seeing such capability building as an investment may change the logic of using third parties. Similarly, when companies look to established tech players for partnerships shoring up weaknesses, they should be cautious: some seemingly high performers may be on the wrong path and could burden you with outmoded standards and platforms. Alternatively, if you deal with strong players, you may be leaving yourself vulnerable by letting them lead.
The need for growth and competitiveness will force companies to build strong digital capabilities. Viewing them as assets rather than additional areas of spending requires a new set of management and financial lenses. Embracing them is a major shift—but one worth making for companies striving to master a still-evolving landscape.
About the authors
Jacques Bughin is a director in McKinsey’s Brussels office. James Manyika is a director of the McKinsey Global Institute and a director in the San Francisco office.
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Thursday, June 6, 2013

Disruptive technologies: Advances that will transform life, business, and the global economy

McKinsey & Company:

May 2013 | byJames Manyika, Michael Chui, Jacques Bughin, Richard Dobbs, Peter Bisson, and Alex Marrs

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... Not every emerging technology will alter the business or social landscape—but some truly do have the potential to disrupt the status quo, alter the way people live and work, and rearrange value pools. It is therefore critical that business and policy leaders understand which technologies will matter to them and prepare accordingly.

Podcast

Disruptive technologies

MGI's Michael Chui discusses the most economically disruptive technologies that will transform business and life in next decade.
Disruptive technologies: Advances that will transform life, business, and the global economy, a report from the McKinsey Global Institute, cuts through the noise and identifies 12 technologies that could drive truly massive economic transformations and disruptions in the coming years. The report also looks at exactly how these technologies could change our world, as well as their benefits and challenges, and offers guidelines to help leaders from businesses and other institutions respond.
We estimate that, together, applications of the 12 technologies discussed in the report could have a potential economic impact between $14 trillion and $33 trillion a year in 2025. This estimate is neither predictive nor comprehensive. It is based on an in-depth analysis of key potential applications and the value they could create in a number of ways, including the consumer surplus that arises from better products, lower prices, a cleaner environment, and better health.
Some technologies detailed in the report have been gestating for years and thus will be familiar. Others are more surprising. Examples of the 12 disruptive technologies include:
Really cool robots that you can piece together...
Really cool robots that you can piece together yourself. Emerging technologies pavilion at SIGGRAPH in Boston. August 2006. (Photo credit: Wikipedia)
Advanced robotics—that is, increasingly capable robots or robotic tools, with enhanced “senses,” dexterity, and intelligence—can take on tasks once thought too delicate or uneconomical to automate. These technologies can also generate significant societal benefits, including robotic surgical systems that make procedures less invasive, as well as robotic prosthetics and “exoskeletons” that restore functions of amputees and the elderly.

Slideshow


A gallery of disruptive technologies
Next-generation genomics marries the science used for imaging nucleotide base pairs (the units that make up DNA) with rapidly advancing computational and analytic capabilities. As our understanding of the genomic makeup of humans increases, so does the ability to manipulate genes and improve health diagnostics and treatments. Next-generation genomics will offer similar advances in our understanding of plants and animals, potentially creating opportunities to improve the performance of agriculture and to create high-value substances—for instance, ethanol and biodiesel—from ordinary organisms, such as E. coli bacteria.
Energy-storage devices or physical systems store energy for later use. These technologies, such as lithium-ion batteries and fuel cells, already power electric and hybrid vehicles, along with billions of portable consumer electronics. Over the coming decade, advancing energy-storage technology could make electric vehicles cost competitive, bring electricity to remote areas of developing countries, and improve the efficiency of the utility grid.
The potential benefits of the technologies discussed in the report are tremendous—but so are the challenges of preparing for their impact. If business and government leaders wait until these technologies are exerting their full influence on the economy, it will be too late to capture the benefits or react to the consequences. While the appropriate responses will vary by stakeholder and technology, we find that certain guiding principles can help businesses and governments as they plan for the effects of disruptive technologies.
  • Business leaders should keep their organizational strategies updated in the face of continually evolving technologies, ensure that their organizations continue to look ahead, and use technologies to improve internal performance. Disruptive technologies can change the game for businesses, creating entirely new products and services, as well as shifting pools of value between producers or from producers to consumers. Organizations will often need to use business-model innovations to capture some of that value. Leaders need to plan for a range of scenarios, abandoning assumptions about where competition and risk could come from, and not be afraid to look beyond long-established models. Organizations will also need to keep their employees’ skills up-to-date and balance the potential benefits of emerging technologies with the risks they sometimes pose.
  • Policy makers can use advanced technology to address their own operational challenges (for example, by deploying the Internet of Things to improve infrastructure management). The nature of work will continue to change, and that will require strong education and retraining programs. To address challenges that the new technologies themselves will bring, policy makers can use some of those very technologies—for example, by creating new educational and training systems with the mobile Internet, which can also help address an ever-increasing productivity imperative to deliver public services more efficiently and effectively. To develop a more nuanced and useful view of technology’s impact, governments may also want to consider new metrics that capture more than GDP effects. This approach can help policy makers balance the need to encourage growth with their responsibility to look out for the public welfare as new technologies reshape economies and lives.

About the authors

James Manyika and Richard Dobbs are directors of the McKinsey Global Institute, where Michael Chui is a principal; Jacques Bughin is a director in McKinsey’s Brussels office; Peter Bisson is a director in the Stamford office.
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