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In part because the technologies have not yet been widely adopted, previous analyses have had to rely either on case studies or subjective assessments by experts to determine which occupations might be susceptible to a takeover by AI algorithms. What’s more, most research has concentrated on an undifferentiated array of “automation” technologies including robotics, software, and AI all at once. The result has been a lot of discussion—but not a lot of clarity—about AI, with prognostications that range from the utopian to the apocalyptic.

Given that, the analysis presented here demonstrates a new way to identify the kinds of tasks and occupations likely to be affected by AI’s machine learning capabilities, rather than automation’s robotics and software impacts on the economy. By employing a novel technique developed by Stanford University Ph.D. candidate Michael Webb, the new report establishes job exposure levels by analyzing the overlap between AI-related patents and job descriptions. In this way, the following paper homes in on the impacts of AI specifically and does it by studying empirical statistical associations as opposed to expert forecasting.

Second, we need to be aware of the manifest biases and fallacies that magnify the weight humans put on potential losses compared to potential future gains. As a result of these biases, humans often seek to preserve the status quo over pursuing activities that lead to future changes, even when the expected (but risky) gains from the latter may outweigh those of maintaining the status quo. The preference for the status quo, and neat narratives that oversimplify complex scenarios, can lead to overlooking (or ignoring) important information that is not consistent with the current generally accepted meme — illustrated, perhaps, in Musk’s continued optimism for autonomous vehicles despite the evidence leading to others downscaling their forecasts.

The first and second points together lead to the third important consideration: the importance of independently verified data over forecasts and opinion in determining the need for and appropriateness of policy interventions. And data is historical by nature. Pausing to collect it rather than rushing to respond is recommended.

To that end, we can use available data to analyze whether increasing use of AI is demonstrably affecting key labor market performance indicators: labor productivity and multifactor productivity growth. If, as Keynes suggests, AI-driven technological change is increasing the potential for new means of economizing the use of labor to outrun the pace of finding new ways to use it, we would expect to see both statistics rising in the era dominated by AI. Yet as Figures 1 and 2 show, the exact opposite appears true for a wide range of OECD countries. Neither does the data suggest that other key labor market indicators have changed negatively with the advent of AI. As with the computer industry, we see the effects of AI everywhere but in the productivity statistics.

This is a bit interesting. As we all know, education has been crushed by the pandemic measures. Jeff Bezos has been operating one free preschool program in Washington State where Amazon is based. Now he is adding three more such programs in Texas.

I assume he picked Texas because Blue Origin is based there and he wishes to focus more on Blue Origin. Elon Musk regularly donates to education in Texas as well, likely because Starship is currently based in Texas.


Houston city council member Karla Cisneros said the partnership will help support the development and success of some of the city’s neediest children and help the future workforce be prepared for jobs. “We are helping women get back to work, and we are giving young children a good shot at a better life,” Cisneros said in the release.

The Bezos Academy opened its first school in Des Moines, Washington in October 2020. The preschool program has three other locations opening in Texas this year, including two in Dallas.

Indian billionaire Mukesh Ambani is going big on green energy.

His conglomerate, Reliance Industries, announced Thursday that it would allocate a whopping 6 trillion rupees (approximately $80.6 billion) to renewable power projects in the western Indian state of Gujarat, where it hopes to help generate a million new jobs.

The bulk of that money — about $67.7 billion — will go toward a new power plant and hydrogen system, the company said in a stock exchange filing. Reliance plans to make the massive investment over a 10-to-15-year period, and has already begun scouting for land for the 100-gigawatt capacity site.

Over 70,000 jobs will be created through the rising battery manufacturing in Europe within the next years, new studies predict.


The energy supply in Germany and Europe has never been more in flux. As the success of renewable energies continues to mount, another technology is coming into focus. Energy storage technologies and battery storage systems in particular are becoming increasingly important with the advancement of the energy transition. This development also has significant implications for Germany as an economic center, since battery production is expected to create thousands of jobs here in the future.

Europe has not traditionally played a very significant role as a site for battery cell production, but technical advances, favorable political conditions and an especially promising sales market are making the continent increasingly attractive for battery production. A look at the key role that battery cell production plays in upstream value chains – throughout the renewable energy supply sector and especially in the manufacture of electric vehicles – makes its significance clear. Battery cells represent approximately 40 percent of the value added in the production of an electric vehicle. So it is no wonder that production capacities for lithium-ion batteries are growing faster in Europe than in any other region of the world. Current forecasts predict that the continent’s share in this global manufacturing business will increase from around 6 percent now to 16 to 25 percent by 2030.

Numerous battery cell manufacturing plants are currently being built in Europe. According to Benchmark Mineral Intelligence, Europe is expected to host manufacturing facilities capable of producing more than 300 gigawatt hours (GWh) of battery capacity by 2029. The meta-study “Batteries for electric cars: Fact check and need for action,” commissioned by VDMA and carried out by Fraunhofer Institute for Systems and Innovation Research ISI, even suggests that production capacities of 300 to 400 GWh could be achieved by 2025. The website Battery-News.de anticipates that the German market alone will account for more than 170 GWh of production capacity. By way of comparison, Europe currently has around 30 GWh of production capacity.

Intel has selected Ohio for a new chip manufacturing complex that would cost at least $20 billion, ramping up an effort to increase U.S. production of computer chips as users grapple with a lingering shortage of the vital components.

Intel said Friday that the new site near Columbus would initially have two chip factories and would directly employ 3,000 people, while creating additional jobs in construction and at nearby businesses.

Patrick Gelsinger, who became Intel’s chief executive last year, has rapidly increased the company’s investments in manufacturing to help reduce U.S. reliance on foreign chip makers while lobbying Congress to pass incentives aimed at increasing domestic chip production. He has said that Intel might invest as much as $100 billion over a decade in its next U.S. manufacturing campus, linking the scope and speed of that expansion to expected federal grants if Congress approves a spending package known as the CHIPS Act.

Robots taking advantage of the newest advances in Artificial Intelligence systems are expected to make a huge dent in the job market of 2022 as workers are wanting higher wages and better working conditions. These robots and AI’s outcompete and outright beat humans in many fields such as translation, self driving, news article reporting and more. It’s exciting to see where the field of Robotics and AI is going in the near future of 2022 predictions.

TIMESTAMPS:
00:00 The Great Surge of 2022
00:53 All the jobs that will be taken over.
04:41 What robots mean for society.
06:22 The Robots have already won.
08:12 Last Words.

#robots #ai #jobs

New York state will spend $500 million building up ports and manufacturing infrastructure for offshore wind farms in a bid to become home base for the nascent industry.

The investments announced Wednesday by Governor Kathy Hochul will focus on building the supply chain for offshore turbines, which can provide clean power to a densely populated coast with little room for onshore wind farms or solar power plants.

“With this investment, New York will lead the nation on offshore wind production, creating green jobs for New Yorkers, and powering our clean energy future,” Hochul said in the statement.

This article was contributed by Valerias Bangert, strategy and innovation consultant, founder of three media outlets, and published author.

AI job automation: The debate

The debate around whether AI will automate jobs away is heating up. AI critics claim that these statistical models lack the creativity and intuition of human workers and that they are thus doomed to specific, repetitive tasks. However, this pessimism fundamentally underestimates the power of AI. While AI job automation has already replaced around 400,000 factory jobs in the U.S. from 1990 to 2007, with another 2 million on the way, AI today is automating the economy in a much more subtle way.

Solar roofing provider GAF Energy announced today its Timberline Solar product uses solar shingles that you can nail to a roof.

GAF Energy, a division of Standard Industries, has made a solar roof system that integrated easily into traditional roofing processes in materials thanks to what it calls the first “nailable” solar shingle, the Timberline Solar Energy Shingle, which will be assembled domestically at GAF Energy’s manufacturing and R&D facility in San Jose, California. The company showed off the tech at the CES 2022 trade event in Las Vegas.

The project will create local American jobs and hopefully create more demand for residential clean energy. One of the challenges to date has been the need to house solar tiles on platforms that have to be attached to roofs, making a solar roof installation more complicated than putting on a traditional roof.