The Impact of AI and Automation on Jobs Now and in the Future

Amazon announced last week that it will spend $700 million to train about 100,000 workers in the US by 2025, helping them move into more highly skilled jobs. The New York Times observed that with this program Amazon is acknowledging that ”advances in automation technology will handle many tasks now done by people.”

The number of jobs which AI and machines will displace in the future has been the subject of numerous studies and surveys and op-eds and policy papers since 2013, when a pair of Oxford academics, Carl Benedikt Frey and Michael Osborne, estimated that 47% of American jobs are at high risk of automation by the mid-2030s. Here are a few more recent examples of what has become a popular number-crunching (automated, computerized, AI-driven) exercise:

McKinsey Global Institute: between 40 million and 160 million women worldwide may need to transition between occupations by 2030, often into higher-skilled roles. Clerical work, done by secretaries, schedulers and bookkeepers, is an area especially susceptible to automation, and 72% of those jobs in advanced economies are held by women.

Read more here

 

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Alan Turing is the New Face of UK’s £50 Note

See also

Alan Turing Predicts Machine Learning And The Impact Of Artificial Intelligence On Jobs

The Turing Test And The Turing Machine

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AI Creates “Art”

 

https://www.artnome.com/news/2019/6/30/machine-learning-for-art-deep-kitsch-or-creative-augmentation

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AI History In Pictures: John McCarthy Playing Chess with a Mainframe Computer

John McCarthy, artificial intelligence pioneer, playing chess at Stanford’s IBM 7090

John McCarthy used an improved version of the Kotok program to play correspondence chess against a Soviet program developed at the Moscow Institute of Theoretical and Experimental Physics (ITEP) by George Adelson-Velsky and others. In 1967, a four-game match played over nine months was won 3-1 by the Soviet program.

Source: Chessprogramming.org

 

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How Squirrel AI Learning Is Shaking Up Education in China

Joleen Liang, Partner and SVP, Squirrel AI Learning

Tom Mitchell, E. Fredkin University Professor, Machine Learning Department, School of Computer Science, Carnegie Mellon University

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8 Most Advanced Robots Today

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AI, IoT and cloud computing key drivers of acquisitions in technology, media and telecoms over last 2 years

MA_tech_globaldata

In 2018, the total transaction value of M&A deals announced in the global TMT sector reached $630 billion, up 23% from 2017 and significantly ahead of other markets in both 2017 and 2018, according to GlobalData’s Deals Database.

GlobalData’s latest thematic report, Mergers & Acquisitions in Technology Media and Telecoms (TMT), reveals the most notable deals over the last five years, identifies their key thematic drivers, and predicts potential future acquisition targets.

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