{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,20]],"date-time":"2026-03-20T01:19:55Z","timestamp":1773969595667,"version":"3.50.1"},"reference-count":7,"publisher":"Association for Computing Machinery (ACM)","issue":"4","license":[{"start":{"date-parts":[[2022,9,27]],"date-time":"2022-09-27T00:00:00Z","timestamp":1664236800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":["SIGSOFT Softw. Eng. Notes"],"published-print":{"date-parts":[[2022,9,27]]},"abstract":"<jats:p>While Artificial Intelligence (AI) has been an industry buzzword the past 15+ years, AI as a subject is not something new. The term AI has been coined by John McCarthy in 1956 and Neural Networks has been a popular subject well in the 1980s. It's just that AI has undergone a long journey of invention and entrepreneurial phase; and seem to still not fully over it. The question now why the industry is not crossing the chasm to the mass production phase? Why most companies are not relying on AI product to reduce their churn and increase their efficiency? In this paper, I will survey the major factors that play critical role in the slow AI adoption across the software industry.<\/jats:p>","DOI":"10.1145\/3561846.3561851","type":"journal-article","created":{"date-parts":[[2022,9,28]],"date-time":"2022-09-28T22:20:01Z","timestamp":1664403601000},"page":"16-17","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":3,"title":["AI Adoption"],"prefix":"10.1145","volume":"47","author":[{"given":"Ahmed","family":"El-Deeb","sequence":"first","affiliation":[{"name":"Amazon, Berlin, Germany"}]}],"member":"320","published-online":{"date-parts":[[2022,9,28]]},"reference":[{"key":"e_1_2_1_1_1","unstructured":"Bex Steven. \"The Industrialization of AI.\" LinkedIn 29 Oct. 2021 www.linkedin.com\/pulse\/industrialization-ai-steven-bex.  Bex Steven. \"The Industrialization of AI.\" LinkedIn 29 Oct. 2021 www.linkedin.com\/pulse\/industrialization-ai-steven-bex."},{"key":"e_1_2_1_2_1","volume-title":"Software Developer Shortage in the US and Global Tech Talent Shortage","author":"Daxx Software Development Teams","year":"2021","unstructured":"Daxx Software Development Teams . 2021. Software Developer Shortage in the US and Global Tech Talent Shortage in 2021 . [online] Available at: https:\/\/www.daxx.com\/blog\/developmenttrends\/ software-developer-shortage-us Daxx Software Development Teams. 2021. Software Developer Shortage in the US and Global Tech Talent Shortage in 2021. [online] Available at: https:\/\/www.daxx.com\/blog\/developmenttrends\/ software-developer-shortage-us"},{"key":"e_1_2_1_3_1","volume-title":"www.ft.com\/partnercontent\/ibm\/closing-the-aiskills- gap.html. Accessed","author":"Grid AI","year":"2022","unstructured":"alpha Grid . \"Closing the AI Skills Gap .\" Financial Times - Partner Content by IBM , www.ft.com\/partnercontent\/ibm\/closing-the-aiskills- gap.html. Accessed 1 Sept. 2022 . alphaGrid. \"Closing the AI Skills Gap.\" Financial Times - Partner Content by IBM, www.ft.com\/partnercontent\/ibm\/closing-the-aiskills- gap.html. Accessed 1 Sept. 2022."},{"key":"e_1_2_1_4_1","unstructured":"Wladawsky-Berger Irving. \"The Current State of AI Adoption.\" WSJ 8 Feb. 2019 www.wsj.com\/articles\/the-current-state-of-aiadoption- 01549644400?tesla=y.  Wladawsky-Berger Irving. \"The Current State of AI Adoption.\" WSJ 8 Feb. 2019 www.wsj.com\/articles\/the-current-state-of-aiadoption- 01549644400?tesla=y."},{"key":"e_1_2_1_5_1","unstructured":"Omaar Hodan. \"NSF Data Shows AI Adoption in the United States Remains Low But Big Companies Are Leading the Way.\" Center for Data Innovation 17 Mar. 2022 datainnovation.org\/2022\/03\/nsf-data-shows-ai-adoption-in-theunited- states-remains-low-but-big-companies-are-leading-the-way.  Omaar Hodan. \"NSF Data Shows AI Adoption in the United States Remains Low But Big Companies Are Leading the Way.\" Center for Data Innovation 17 Mar. 2022 datainnovation.org\/2022\/03\/nsf-data-shows-ai-adoption-in-theunited- states-remains-low-but-big-companies-are-leading-the-way."},{"key":"e_1_2_1_6_1","unstructured":"Newman Daniel. \"Six Reasons Why We Haven't Seen Full AI Adoption.\" Forbes 12 Mar. 2019 www.forbes.com\/sites\/danielnewman\/2019\/03\/12\/6-reasons-whywe- havent-seen-full-ai-adoption\/'sh=1d16224b3e99.  Newman Daniel. \"Six Reasons Why We Haven't Seen Full AI Adoption.\" Forbes 12 Mar. 2019 www.forbes.com\/sites\/danielnewman\/2019\/03\/12\/6-reasons-whywe- havent-seen-full-ai-adoption\/'sh=1d16224b3e99."},{"key":"e_1_2_1_7_1","volume-title":"www.gartner.com\/smarterwithgartner\/3-barriers-to-ai-adoption. Accessed","author":"Barriers AI","year":"2022","unstructured":"\"3 Barriers to AI Adoption .\" Gartner , www.gartner.com\/smarterwithgartner\/3-barriers-to-ai-adoption. Accessed 2 Sept. 2022 . \"3 Barriers to AI Adoption.\" Gartner, www.gartner.com\/smarterwithgartner\/3-barriers-to-ai-adoption. Accessed 2 Sept. 2022."}],"container-title":["ACM SIGSOFT Software Engineering Notes"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3561846.3561851","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3561846.3561851","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,17]],"date-time":"2025-06-17T19:02:24Z","timestamp":1750186944000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3561846.3561851"}},"subtitle":["Why the Software Industry Is Slow to Go Past the Hype?"],"short-title":[],"issued":{"date-parts":[[2022,9,27]]},"references-count":7,"journal-issue":{"issue":"4","published-print":{"date-parts":[[2022,9,27]]}},"alternative-id":["10.1145\/3561846.3561851"],"URL":"https:\/\/doi.org\/10.1145\/3561846.3561851","relation":{},"ISSN":["0163-5948"],"issn-type":[{"value":"0163-5948","type":"print"}],"subject":[],"published":{"date-parts":[[2022,9,27]]},"assertion":[{"value":"2022-09-28","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}