Category Archives: World

The Changing Nature Of Work

It seems to me…. “Over a long period of time, technological change is something that has been important in reducing manufacturing employment – absolutely and as a share of jobs in the economy.”  ~ Janet Yellen[1]. Forty years ago, nearly … Continue reading

Posted in AI, AI, Artificial Intelligence, Artificial Intelligence, Automation, Automation, BLS, Bureau of Labor Statistics, China, College, College, Computing, Education, Education, Employment, Employment, employment, Finance, Gini Coefficient, Gini Coefficient, Gini Index, Globalization, High School, Jobs, Jobs, K-12, K-16, Manufacturing, Middle Class, Middle Class, middleclass, New England, Off-Shoring, Off-Shoring, Outsourcing, Post-Industrial, Postindustrial, Productivity, Productivity, STEM, STEM, Training, Training, Unemployment, Unemployment, University | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

A Rational Approach To World Trade

It seems to me…. “Trade plays an important role in empowering our nation, growing its economy, creating domestic jobs, and enhancing American competitiveness in the global chain of commerce.” ~ Charles Boustany[1]. Many people, especially politicians, rather than admitting that … Continue reading

Posted in 3D Printing, 4D printing, Additive Manufacturing, AI, AI, Artificial Intelligence, Artificial Intelligence, Automation, B.I.T., Bilateral Investment Treaty, China, China, College, College, Cost, Cost, Donald Trump, Economy, Education, GDP, Globalization, Globalization, Gross Domestic Product, Industrial Revolution, Innovation, K-16, Manufacturing, Obama, Off-Shoring, Off-Shoring, Offshoring, Post-Industrial, Postindustrial, Recession, Regionalization, Robotics, Robots, Supply Chains, Tariffs, Technology, Technology, TPP, Trade, Training, Trans-Pacific Partnership, Trump, World Trade Organization, World Trade Organization, World Trade Organization, WTO, WTO, Xi Jinping | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Economic Uncertainty

It seems to me…. “A perfect storm is in the making: financial uncertainty, economic downturn, government cuts, rising unemployment and a future that looks less clear the more we try to fathom it.” ~ Jonathan Sacks[1]. Market volatility has recently … Continue reading

Posted in Angela Merkel, Budget, Business, CBO, China, China, Congressional Budget Office, Debt, Deficit, Deficit, Donald Trump, economic growth, Economy, Elections, Emmanuel Macron, Emmanuel Macron, Employment, employment, Federal Reserve, Federal Reserve Bank of New York, France, France, Germany, Germany, Globalization, Great Britain, Great Britain, Growth, Investment, Jobs, Macron, Macron, Manufacturing, Merkel, Recession, Technology, Technology, Trump, U.K., United Kingdom | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | 3 Comments

Recession Anxieties

It seems to me…. “Keynes’s contribution was not just to advocate spending government money in the middle of a recession. Every government had done that going back to the days of the Irish potato famine. What he gave to us … Continue reading

Posted in Asia, Asia, Bonds, Brazil, Brexit, China, China, Daimler, Debt, Debt, Deficit, Deficit, Economic, economic growth, Economics, Economy, Employment, Europe, Europe, Factor Intensity, Federal Reserve, Federal Reserve, Financial, financial crisis, France, France, GDP, Germany, Germany, Gini Coefficient, Gini Coefficient, Gini Index, Globalization, Globalization, Great Britain, Great Britain, Gross Domestic Product, human capital, India, Inequality, Inequality, Iran, Iran, Italy, Italy, Japan, Japan, Jobs, Liquidity Crisis, Liquidity-Trap, Mexico, Mexico, Mexico, Michael Polanyi, NAIRU, National, Nestlé, Physical Capital, Post-Industrial, Productivity, Recession, Recession, Stimulus, Swizerland, Technology, Total Factor Productivity, Trade, Trump, Wages, Xi Jinping, Xi Jinping | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

U.S.-China Relations

It seems to me…. “China and the U.S. need each other very badly. Yes, we should argue about some things, but it’s not an ‘us versus them’, it’s an ‘us and them’ type scenario.” ~ Bill Gates[1]. U.S. foreign policy … Continue reading

Posted in AI, AI, Artificial Intelligence, Artificial Intelligence, Asia, China, China, Communications, Economy, Education, Jon Huntsman, Military, Philippines, Russia, South Korea, Soviet Union, STEM, STEM, Taiwan, technology, Thucydides Trap, TPP, Trade, Trans-Pacific Partnership, Trump, War | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Challenges Of Economic Inequality

It seems to me…. “Economic inequality is a corrosive force that undermines economic growth, puts a brake on the fight against poverty, and sparks social unrest.” ~ Winnie Byanyima[1]. While limited societal inequality is necessary to serve as an incentive … Continue reading

Posted in Agriculture, AI, Artificial Intelligence, Artificial Intelligence, Automation, Automation, Automation, Automation, Capitalism, College, College, Computerization, Computerization, Discrimination, Economy, Education, Education, Employment, employment, Globalization, Health, Income, Income, Inequality, Inequality, Information Technology, Politics, Post-Industrial, Postindustrial, Poverty, Robotics, Robotics, Robotics, Robotics, Steam Engine, Technology, Technology, Technology, Technology, Unions, Unions, University, Wealthy | Tagged , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment

Making America Great Again

It seems to me…. “A country’s economic growth may be defined as a long-term rise in capacity to supply increasingly diverse economic goods to its population, this growing capacity based on advancing technology and the institutional and ideological adjustments that … Continue reading

Posted in AI, Artificial Intelligence, AT&T, Bell Labs, Bob Taylor, Budget, China, Congress, DARPA, ECON-101, economic growth, economics, Economy, Education, Education, education, Factor Intensity, Franklin D. Roosevelt, Funding, GDP, Gross Domestic Product, Harry Truman, human capital, Infrastructure, Innovation, Innovation, Manhattan Project, Moon, NASA, National Aeronautics and Space Administration, Physical Capital, Private-Sector, Private-Sector, Public-Sector, Public-Sector, RAND, research, Retraining, Roosevelt, Science, Solow Residual, Space, Space, SRI, Stanford Research Institute, Technology, Technology, Total Factor Productivity, Training, Truman, Truman, Trump, University, Vannevar Bush, World War II, Xerox, Xerox PARC | Tagged , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , , | Leave a comment