What is the state-of-AI in July 2019? Recent surveys, studies, and forecasts illustrate future expectations and current realities regarding the impact of AI on jobs; the conditions, challenges, and benefits of AI adoption; and bits of data related to data or AI fuel.
$142,859: Average salary of machine learning engineer, May 2019 [Indeed]
29.1%: Increase in AI job postings on Indeed over the last 12 months, down from 57.9% increase from May 2017 to May 2018 [Indeed]
20%: Percentage of job seekers (11,000) that fear they will one day lose their job to AI [Ziprecuiter]
58%: Percentage of job seekers (11,000) that think AI will destroy more jobs than it creates [Ziprecuiter]
300%: The increase in the number of jobs AI created over the jobs it destroyed in 2018 [Ziprecuiter]
70.8%: Percentage of Americans believing AI will eliminate more jobs than it will create (Canada 61.2%, UK 59.8%) [Gallup/Northeastern University]
42%: Percentage of Americans expressing confidence that their job skills will never become obsolete [Gallup/Northeastern University]
67%: Percentage of Chinese executives that are expecting a reduction in the number of employees over the next 5 years due to advanced robotics (50% in the US) [BCG]
20 million: The number of robots operating worldwide by 2030, with 14 million in China alone [Oxford Economics]
20 million: Manufacturing jobs that will be lost to these robots by 2030 or 8.5% of the global manufacturing workforce [Oxford Economics]
20%: Percentage of IT jobs that will be replaced by AI/automation within 5 years, according to CIOs [Harvey Nash/KPMG CIO Survey]
69%: Percentage of CIOs that believe new IT jobs will compensate for job losses to AI/automation [Harvey Nash/KPMG CIO Survey]
26%: Percentage of US male employment in 2017 that is at risk of being displaced by automation by 2030 (24% for female employment) [MGI]
44%: Percentage of CIOs saying big data/analytics skills are the most scarce skills, followed by AI (39%) and cyber security (39%) and AI [Harvey Nash/KPMG CIO Survey]
27%: Percentage of business executives that believe AI will lead to significant job growth (9% think AI would cause significant job loss) [Tibco]
340%: Rate of growth of job openings for Senior Data Scientists, 2017-2018 [Ziprecuiter]
$257,443: Average salary of senior data science managers [Burtch Works]
30%: Percentage of data scientists that are either unsatisfied or somewhat satisfied with their jobs [Figure Eight]
57%: Percentage of US adults that have spoken to or issued commands to a smartphone [PwC]
27%: Percentage of US adults that have spoken to or issued commands to a speaker [PwC]
32%: Percentage of US adults that use their voice daily to search for something that they would normally type into a search engine [PwC]
168.6 million: the number of smart home devices shipped worldwide in the first quarter of 2019, up 37.3% from the previous year [IDC]
52%: Percentage of organizations viewing IT infrastructure as one of the biggest challenges of AI initiatives [ESG]
175%: Average annual growth rate of Deep Learning patent applications from 2013 (118 applications) to 2016 (2,399 applications), the fastest growing AI technique [WIPO]
$71 billion: The size of the global AI market by 2024 [ResearchAndMarkets]
47%: Percentage of executives expecting significant results in three years or less from their companies’ AI projects, down from 62% last year [KPMG]
80.07%: Percentage accuracy in preliminary experiments of a machine learning method to identify a person’s emotions by the way they walk [arxiv.org]
66%: Growth rate of the global market for machine-learning related data annotation, reaching $500 million in 2018; will more than double by 2023 [Cognilytica]
96%: Percentage of Vodaphone’s purchase orders that are accurate, up from 73% before the installation of a supply-chain-analytics control center based on Robotic Process Automation software to simplify tasks plus AI/ML to improve predictive modeling [WSJ]
$50 million: The reduction in procurement spending over the past two years achieved by NTT DATA after implementing an AI-powered procurement platform [WSJ]
$25 billion: The annual estimated amount Visa Inc.’s AI helped credit card issuers prevent fraud [PaymentsJournal]
40%: Increase in the lightness of General Motors’ seatbelt due to its use of AI in its design, in addition to being 20% stronger than the original design [Capgemini]
14%: Percentage of automotive industry executives that believe all new vehicles could be autonomous by 2030; 51% believe it will take another 10 years [Tractica]
20%: Percentage of financial-services executives who say their firms have AI in full production [Broadridge Financial Solutions]
41%: Percentage of healthcare executives that said that of all emerging technologies, AI will have the greatest impact within the next three years [Accenture]
39%: Percentage of automotive executives (in eight countries) that said their companies are not implementing AI today (versus 26% in 2017) [Capgemini]
36%: Percentage of IT and business professionals involved with their organization’s AI initiatives which consider data storage to be one of the most important pieces of the supporting infrastructure stack [ESG]
10x: By 2025, companies that are AI leaders will be ten times more efficient and hold twice the market share of those that do not prioritize the technology [Genpact]
41.6 billion: The number of connected IoT devices, generating 79.4 zettabytes of data in 2025 [IDC]
$17.8 billion: The size of the global AI in healthcare market in 2025 [B2B NewsUpdate]
6%: Percentage of 516 studies of AI algorithms designed to interpret medical images that tested their algorithm at more than one hospital [Korean Journal of Radiology]
$1 billion: What the US government has spent on AI-focused or facilitated research grants since 2003, half of it in the past four years [Quartz]
727,000: The number of agricultural robots forecast to ship in 2025, up from 60,000 units in 2018 [Tractica]
$447 billion: The aggregate potential cost savings for banks from AI applications by 2023 [Business Insider]
340.1 million: The number of AI-optimized processors for edge systems that will be shipped worldwide in 2019, an increase of 170.0% over 2018, growing to 1.5 billion by 2023 [IDC]
originally posted on Forbes.com by Gil Press