AI Stats News: 35% Of Workers Worldwide Expect Their Job Will Be Automated – Forbes

Recent surveys, studies, forecasts and other quantitative assessments of the progress of AI highlight anxiety about AI eliminating jobs, the competition for AI talent, questions about employees AI preparedness, and data quality, literacy, privacy, and security.

35% of workers across 28 countries expect their job will be automated in the next 10 years

The future of work

35% of workers across 28 countries expect their job will be automated in the next 10 years; 29% of workers (82% of US workers) are very confident (40% somewhat confident) they have the skills needed so their job continues to exist in the future; workers with a higher level of education (36%) expect their job to be automated at roughly the same rate as those who do not have a higher education (32%); countries where workers are most likely to anticipate that their job will be automated in the next decade are: India (71%), Saudi Arabia (56%), China (55%), Brazil (51%), and Mexico (50%) [Ipsos survey of 13,751 adults in 28 countries].

Major cities are battling to become AI hubs and attract relevant talent: New York City ranks #1 in the world,ahead of London, Singapore and San Francisco. Boston (#5) and Los Angeles (#9) also made the top 10 cities, meaning40% of the worlds most competitive cities are in the U.S. Hong Kong ranked #6, Paris #7, Tokyo #8, Munich #10[INSEAD Global Talent Competitive Index (GTCI) developed in partnershipwith theAdecco GroupandGoogle].

AI business adoption

79% of C-level executives believe their employees are well prepared for AI, compared to only 38% of managers; adoption and deployment challenges include lack of understanding of AI capabilities (46%), lack of training (36%), and lack of initial investment funding (32%); AI is more hype than reality right now: Transportation (69%), technology (57%), healthcare (52%), retail (64%), financial services(42%) [KPMG survey of 750 business decision-makers worldwide].

61% of manufacturing companies say they need to reevaluate the way they implement AI projects; 17% say their company was in the full implementation stage of their AI projects; 72% say it took more time than anticipated for their company to implement the technical/data collection infrastructure needed to take advantage of the benefits of AI; 20% implemented AI initiatives due to industry or peer pressure to utilize the technology; 60% say their company struggled to come to a consensus on a focused, practical strategy for implementing AI [Plutoshift survey of 250 manufacturing professionals].

The Life of Data, the fuel for AI: Quality and literacy

75% of C-Suite executives aren't confident in the quality of their data; 46% of data professionals report spending over 10 hours properly preparing data for an analytics and AI/ML initiative while others spend as much as 40 hours on data preparation processes alone on a weekly basis; poor data quality caused AI/ML projects to take longer (38%), cost more (36%), and fail to achieve the anticipated results (33%) [Trifacta survey of 646 data professionals].

61% report that data-overload has contributed to workplace stress, culminating in nearly 31% of the global workforce taking at least one day of sick leave due to stress related to information, data and technology issues; each year companies lose an average of more than five working days (43 hours) per employee, due to procrastination and sick leave that stem from stress around information, data and technology issues, and equate to billions in lost productivity around the globe; despite nearly all employees (87%) recognizing data as an asset, only 25% believe theyre fully prepared to use data effectively, and just 21% report being confident in their data literacy skillstheir ability to read, understand, question and work with data; only 37% trust their decisions more when based on data, and 48% frequently defer to a gut feeling rather than data-driven insights when making decisions [Accenture and Qlik survey of 9,000 employees in the UK, USA, Germany, France, Singapore, Sweden, Japan, Australia and India].

49% of IT organizations state that data is their business with another 31% expecting to offer data-centric products and services within the next 24 months [ESG].

The Life of Data, the fuel for AI: Privacy

83% of Americans expect to have control over how their data is used at a business; 65% would like to know and have access to what information businesses are collecting about them; 62% of people would like the right to opt-out and tell a business not to share or sell personal information; 58% of people would like the right to protections against businesses that do not uphold the value of their privacy; 49% of people would like the right to delete their personal data held by the business; 82% think there should be a national privacy law to protect their personal data; 73%would pay more to online services companies (retailers, ecommerce, and social media) to ensure they didn't sell their data, show them ads, or use their data for marketing or sales purposes; 49% have had their personal data involved in a large corporate data breach; only 24 are familiar or have heard of CCPA [DataGrail surveyof 2,000 US adults].

88% of Americans would share their healthcare data to develop cancer therapies; 82% believe patients should be compensated for sharing health data; 68%+ have favorable attitudes towards AI in oncology therapy development, and expect it to improve cancer treatment; those aged 60+ are much less likely to want compensation for their healthcare data than those aged 18-44 [Lantern Pharma survey of 1,054 US adults].

Over 70% of organizations (up from 40% last year) say they receive significant business benefits from privacy efforts beyond compliance, including improved attractiveness to investors; organizations, on average, receive benefits 2.7 times their investment, and more than 40% are seeing benefits that are at least twice that of their privacy spend [Cisco survey of 2,800 security professionals].

The Life of Data, the fuel for AI: Security

70% of cybersecurity professionals investigate more than 10 security alerts daily, a marked increase from 2018 when just 45% reported investigating double-digit alerts each day; survey respondents report a false-positive rate of 50% or higher; 78% said it takes more than 10 minutes to investigate each alert, a significant increase from 64% who said the same in 2018; 41% believe their primary responsibility is to analyze and remediate threats, opting instead to reduce investigation times and alert volumes, a dramatic decrease from 70% in 2018 [CRITICALSTART survey of more than 50 Security Operations Center (SOC) professionals]

88% of small- and medium size (SMB) cybersecurity professionals report high levels of interest in adopting AI within their business; 70% of those interested were not aware of potential cybersecurity risks that could accompany its use; 54% of all SMBs interested in AI will move forward with adoption despite the known risks, as they believe the benefits outweigh the risks [Zix-AppRiver survey of 1,049 cybersecurity decision-makers in U.S. SMBs (fewer than 250 employees)].

AI quotable quotes

There is no monopoly on math. Absent a very strong federal privacy law, were all screwedAl Gidari, Stanford Law School

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AI Stats News: 35% Of Workers Worldwide Expect Their Job Will Be Automated - Forbes