WhatsTheBigData

26% of consumers think they interact with AI at least once a day; when they think of AI, 53% think primarily of robots and 40% think primarily of self-driving cars; 58% get their information on AI from movies and TV or social media

Blumberg Capital surveys of 1,000 U.S. consumers aged 18+

The surveys, studies, forecasts and other quantitative assessments of the health and progress of AI for this week find increased VC excitement over AI startups, low trust in AI advice by U.S. consumers and global business executives, China and Germany ahead of the US in the use of AI in healthcare while the US spends more, and the inaccuracy of facial recognition.

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The surveys, studies, forecasts and other quantitative assessments of the health and progress of AI for this week reveal the state of enterprise AI adoption, workers’ attitudes towards AI, data insecurity and privacy challenges, the fortunes of AI startups, and the superior performance of AI over humans in some situations.

25% of organizations worldwide that are already using AI solutions report up to 50% failure rate; lack of skilled staff and unrealistic expectations were identified as the top reasons for failure [IDC global survey of 2,473 organizations, May 2019]

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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.

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