In my lifetime, I've seen two demonstrations of technology that struck me as revolutionary. The first time was in 1980, when I was introduced to a graphical user interface--the forerunner of every modern operating system, including Windows. I sat with the person who had shown me the demo, a brilliant programmer named Charles Simonyi, and we immediately started brainstorming about all the things we could do with such a user-friendly approach to computing. Charles eventually joined Microsoft, Windows became the backbone of Microsoft, and the thinking we did after that demo helped set the company's agenda for the next 15 years. The second big surprise came just last year. I'd been meeting with the team from OpenAI since 2016 and was impressed by their steady progress. In mid-2022, I was so excited about their work that I gave them a challenge: train an artificial intelligence to pass an Advanced Placement biology exam. Make it capable of answering questions that it hasn't been specifically trained for. If you can do that, I said, then you'll have made a true breakthrough.

We live in a technological age--or so we are told. Machines promise to transform every facet of human life: robots will staff factory floors, driverless cars will rule the road, and artificial intelligence will govern weapons systems. Politicians and analysts fret over the consequences of such advances, worrying about the damage that will be done to industries and individuals. Governments, they argue, must help manage the costs of progress. These conversations almost always treat technological change as something to be adapted to, as if it were a force of nature, barreling inexorably into the staid conventions and assumptions of modern life. The pace of change seems irrepressible; new technologies will remake societies. All people can do is figure out how best to cope. Nowhere is this outlook more apparent than in the discussion of automation and its impact on jobs. My local grocery store in rural Utah has hung, with no apparent sense of irony, a sign proclaiming the company's support for U.S. workers above a self-checkout machine, a device that uses technology to replace the labor of an employee with the labor of the customer.

If you wish your organization to become higher and you wish it to be applied on organization plans then you ought to opt for AI. AI is like new technology and it will create a significant impact on developing economies. AI will revolutionize production processes. However, AI makes a large distinction between developing economies and it is smart that those countries that depend upon AI are the developed economies whereas others fall into developing or underdeveloped countries. AI will be a nice facilitator to developing countries.

The Mohammadi Group's automated knitting machines leave little for humans to do. The Robots Are Coming for Garment Workers. That's Good for the U.S., Bad for Poor Countries Automation is reaching into trades that once seemed immune, transforming sweatshops in places like Bangladesh and bringing production back to America The Mohammadi Group's automated knitting machines leave little for humans to do.

This week, as leaders gather in Davos, Switzerland, to discuss how to "create a shared future in a fractured world," many of the conversations will center on the role of humans and robots in a future of automation or augmentation. The teaser for a breakfast conversation that Microsoft is hosting on the promise and pitfalls of artificial intelligence captures the challenges and the opportunity well: "AI offers profound potential benefits and the opportunity to help tackle some of the world's most pressing issues including accelerating economic growth, tackling the urgent issues of environmental sustainability, and transforming healthcare," it reads. "But the accelerating pace of technology-driven change is also creating disruption and anxiety. It risks contributing to a sense of a fractured world, between a small group of people who benefit and a broader group of people who fear that they are being left behind. We need to come together to chart a path forward that ensures AI contributes to building a positive shared future for every community."

Abu Qader, 18, came to the U.S. from Afghanistan as a baby. Now a freshman at Cornell University, he has founded a medical technology company with the goal of improving diagnosis of breast cancer in poor countries. Abu Qader, 18, came to the U.S. from Afghanistan as a baby. Now a freshman at Cornell University, he has founded a medical technology company with the goal of improving diagnosis of breast cancer in poor countries. After a family trip to Afghanistan when he was 15, Chicagoan Abu Qader decided he wanted to do something to improve the country's medical care.

What Qader has built is a computer program that uses artificial intelligence, reams of biomedical data and various algorithms to essentially "read" mammogram images, spotting and diagnosing abnormalities quickly and at low cost -- a potential boon to developing countries, where access to doctors and …

"Seven hundred years after glasses were invented there are still 2.5 billion people in the world with poor vision and no access to vision correction," says Hong Kong philanthropist James Chen. Chairman of his family's Nigeria-based manufacturing company, Wahum Group, Chen is funding a contest called the Clearly Vision Prize that will award a total of 250,000 to projects that improve eyesight, especially in poor countries. Thirty-six semifinalists were announced this week (the five winners will be awarded September 15). Among the contenders: 3D printed eyeglass frames, drones that deliver medical supplies, and several smartphone-based technologies. Some of the smartphones help nonexperts test vision, and one uses artificial intelligence to "see" for blind people. The Clearly Vision semifinalists represent just a sampling of the smartphone projects fighting vision loss, a growing field that is bringing critical care to remote regions far from hospitals and doctors offices.

The problem is that if robot labor is cheaper and more reliable than human labor, why bother with the latter? The payback period for industrial robots (the time it takes for their extra costs to be paid off) is falling sharply. For a welding robot to be used in a Chinese factory, for example, the period has fallen from 5.3 years in 2010, to 1.7 years in 2015, say analysts from Citi. By 2017, they say it could be as low as 1.3 years. And more robots in factories equals fewer jobs for humans.