POWER-CURVE SOCIETY: The Future of Innovation, Opportunity and Social Equity in the Eme... - 1 views
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how technological innovation is restructuring productivity and the social and economic impact resulting from these changes
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concern about the technological displacement of jobs, stagnant middle class income, and wealth disparities in an emerging "winner-take-all" economy
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personal data ecosystems that could potentially unlock a revolutionary wave of individual economic empowerment
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the bell curve described the wealth and income distribution of American society
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As the technology boom of the 1990s increased productivity, many assumed that the rising water level of the economy was raising all those middle class boats. But a different phenomenon has also occurred. The wealthy have gained substantially over the past two decades while the middle class has remained stagnant in real income, and the poor are simply poorer.
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America is turning into a power-curve society: one where there are a relative few at the top and a gradually declining curve with a long tail of relatively poorer people.
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For the first time since the end of World War II, the middle class is apparently doing worse, not better, than previous generations.
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an alarming trend
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What is the role of technology in these developments?
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a sweeping look at the relationship between innovation and productivity
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New Economy of Personal Information
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Power-Curve Society
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the future of jobs
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the report covers the social, policy and leadership implications of the “Power-Curve Society,”
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World Wide Web
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as businesses struggle to come to terms with this revolution, a new set of structural innovations is washing over businesses, organizations and government, forcing near-constant adaptation and change. It is no exaggeration to say that the explosion of innovative technologies and their dense interconnections is inventing a new kind of economy.
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the new technologies are clearly driving economic growth and higher productivity, the distribution of these benefits is skewed in worrisome ways.
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the networked economy seems to be producing a “power-curve” distribution, sometimes known as a “winner-take-all” economy
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Economic and social insecurity is widespread.
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major component of this new economy, Big Data, and the coming personal data revolution fomenting beneath it that seeks to put individuals, and not companies or governments, at the forefront. Companies in the power-curve economy rely heavily on big databases of personal information to improve their marketing, product design, and corporate strategies. The unanswered question is whether the multiplying reservoirs of personal data will be used to benefit individuals as consumers and citizens, or whether large Internet companies will control and monetize Big Data for their private gain.
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Why are winner-take-all dynamics so powerful?
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appear to be eroding the economic security of the middle class
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A special concern is whether information and communications technologies are actually eliminating more jobs than they are creating—and in what countries and occupations.
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How is the power-curve economy opening up opportunities or shutting them down?
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Is it polarizing income and wealth distributions? How is it changing the nature of work and traditional organizations and altering family and personal life?
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many observers fear a wave of social and political disruption if a society’s basic commitments to fairness, individual opportunity and democratic values cannot be honored
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what role government should play in balancing these sometimes-conflicting priorities. How might educational policies, research and development, and immigration policies need to be altered?
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The Innovation Economy
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Conventional economics says that progress comes from new infusions of capital, whether financial, physical or human. But those are not necessarily the things that drive innovation
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What drives innovation are new tools and then the use of those new tools in new ways.”
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at least 50 percent of the acceleration of productivity over these years has been due to ICT
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economists have developed a number of proxy metrics for innovation, such as research and development expenditures.
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Atkinson believes that economists both underestimate and overestimate the scale and scope of innovation.
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Calculating the magnitude of innovation is also difficult because many innovations now require less capital than they did previously.
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Others scholars
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see innovation as going in cycles, not steady trajectories.
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A conventional approach is to see innovation as a linear, exponential phenomenon
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leads to gross errors
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Atkinson
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believes that technological innovation follows the path of an “S-curve,” with a gradual increase accelerating to a rapid, steep increase, before it levels out at a higher level. One implication of this pattern, he said, is that “you maximize the ability to improve technology as it becomes more diffused.” This helps explain why it can take several decades to unlock the full productive potential of an innovation.
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innovation keeps getting harder. It was pretty easy to invent stuff in your garage back in 1895. But the technical and scientific challenges today are huge.”
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costs of innovation have plummeted, making it far easier and cheaper for more people to launch their own startup businesses and pursue their unconventional ideas
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innovation costs are plummeting
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Atkinson conceded such cost-efficiencies, but wonders if “the real question is that problems are getting more complicated more quickly than the solutions that might enable them.
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we may need to parse the different stages of innovation: “The cost of innovation generally hasn’t dropped,” he argued. “What has become less expensive is the replication and diffusion of innovation.”
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what is meant by “innovation,”
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“invention plus implementation.”
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A lot of barriers to innovation can be found in the lack of financing, organizational support systems, regulation and public policies.
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90 percent of innovation costs involve organizational capital,”
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there is a serious mismatch between the pace of innovation unleashed by Moore’s Law and our institutional and social capacity to adapt.
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This raises the question of whether old institutions can adapt—or whether innovation will therefore arise through other channels entirely. “Existing institutions are often run by followers of conventional wisdom,”
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The best way to identify new sources of innovation, as Arizona State University President Michael Crow has advised, is to “go to the edge and ignore the center.”
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Paradoxically, one of the most potent barriers to innovation is the accelerating pace of innovation itself.
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Institutions and social practice cannot keep up with the constant waves of new technologies
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“We are moving into an era of constant instability,”
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“and the half-life of a skill today is about five years.”
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Part of the problem, he continued, is that our economy is based on “push-based models” in which we try to build systems for scalable efficiencies, which in turn demands predictability.
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The real challenge is how to achieve radical institutional innovations that prepare us to live in periods of constant two- or three-year cycles of change. We have to be able to pick up new ideas all the time.”
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pace of innovation is a major story in our economy today.
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The App Economy consists of a core company that creates and maintains a platform (such as Blackberry, Facebook or the iPhone), which in turn spawns an ecosystem of big and small companies that produce apps and/or mobile devices for that platform
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tied this success back to the open, innovative infrastructure and competition in the U.S. for mobile devices
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standard
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The App Economy illustrates the rapid, fluid speed of innovation in a networked environment
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crowdsourcing model
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winning submissions are
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globally distributed in an absolute sense
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problem-solving is a global, Long Tail phenomenon
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As a technical matter, then, many of the legacy barriers to innovation are falling.
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small businesses are becoming more comfortable using such systems to improve their marketing and lower their costs; and, vast new pools of personal data are becoming extremely useful in sharpening business strategies and marketing.
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Another great boost to innovation in some business sectors is the ability to forge ahead without advance permission or regulation,
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“In bio-fabs, for example, it’s not the cost of innovation that is high, it’s the cost of regulation,”
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This notion of “permissionless innovation” is crucial,
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“In Europe and China, the law holds that unless something is explicitly permitted, it is prohibited. But in the U.S., where common law rather than Continental law prevails, it’s the opposite
