1、GENERATIVE AIRADARMANUFACTURING Generative AI Radar Manufacturing|3External Document 2024 Infosys Limited Generative AI Radar ManufacturingGenerative AI is still new,yet enterprises are already exploring its transformative potentialThis year will bring further developments in generative AI as organi
2、zations get to grips with it.Through this study we aimed to uncover how companies use generative AI,how much they spend on it,how its being rolled out in organizations large and small,and where it makes an impact.We looked at 3,000 companies across 12industries:Many companies told us they are alread
3、y spending significant sums of money-and are set to spend more this year.However,this pattern isnt the same across sectors.In this data book we highlight how manufacturing compares with the rest of the pack.Automotive Consumer package goods Energy,mining,and utilities Financial services Healthcare H
4、igh tech Insurance Life sciences Logistics and supply chain Manufacturing Retail and hospitality Telecommunications4|Generative AI Radar Manufacturing External Document 2024 Infosys Limited Spending will doubleManufacturings spending growth is rapid but weaker than the overall trendManufacturings sp
5、ending isset to grow by 103%in next year The industry spent more than$1 billionon generative AI in 2023,with this projected to grow to$2.4 billion in2024.Manufacturing generative AI spendingExpected generative AI spending growth in 2024 by industrySpending in billions($USD)20232024103%Reported spend
6、Expected spend$0$1$2$3$1.2$2.4TelecommunicationsRetail and hospitalityManufacturingLogistics and supply chainLife sciencesInsuranceHigh techHealthcareFinancial servicesEnergy,mining,and utilitiesConsumer packaged goodsAutomotive32%88%103%73%36%358%135%53%164%76%65%169%IndustryExpected generative AI
7、spending growth in 2024Generative AI Radar Manufacturing|5External Document 2024 Infosys Limited Generative AI beds inManufacturing firms lead other sectors with use cases that create business value92%of manufacturing companies have started their generative AI journey Only 8%of manufacturing compani
8、es have not started experimenting with generative AI,compared with 15%of the overalltrend.22%of manufacturing companies have use cases that create business value 22%of manufacturing companies have already created business value through their generative AI use cases,compared with 13%of our overall sa
9、mple.Generative AI adoption by proportion of respondentsDoes not have generative AI initiativescurrently but is planning to implementIs experimenting with generative AIand/or defning proofs of conceptHas implemented,or is currentlyimplementing,generative AI solutionsHas established generative AI use
10、cases that create business value8%15%35%31%35%40%22%13%Increasing generative AI adoption levelRespondentsManufacturingTotal sampleNote:Percentage numbers do not add up to 100%because of rounding.6|Generative AI Radar Manufacturing External Document 2024 Infosys Limited Product development drives man
11、ufacturings generative AI optimismUser experience also top of manufacturings listHigh optimism for streamlined product development Manufacturing companies expect generative AI to have higher positive impact on streamlined product development and design than the overall sample(35%vs 27%).Where compan
12、ies expect generative AI to have the most positive impactRespondentsManufacturingTotal sampleStreamlined productdevelopment and designIncreased operationalefciency and automationImproved contentgeneration and creativityEnhanced user experienceand personalization26%31%19%19%20%24%35%27%Note:Percentag
13、e numbers do not add up to 100%because of rounding.Generative AI Radar Manufacturing|7External Document 2024 Infosys Limited Business impact sentimentManufacturing is just as positive about generative AIs business impact as the overall trendThe manufacturing industry is positive about generative AIs
14、 impact on business74%of manufacturing believes generative AI will have a positive impact on business.Only 9%of manufacturing expressed a negative sentiment.Expected generative AI impact on business areas by proportion of respondentsRespondentsNegativeNeutralPositiveManufacturingTotal sample76%74%17
15、%17%7%9%Note:Percentage numbers do not add up to 100%because of rounding.8|Generative AI Radar Manufacturing External Document 2024 Infosys Limited Obstacles to generative AI adoptionManufacturing is most concerned with ethics,bias,and data privacyManufacturing firms worried about ethics,bias,and da
16、ta privacy 26%of manufacturing ranked ethics,bias,fairness,and safety as their top challenge to generative AI adoption.Another 25%ranked data privacy and security as key obstacles.These sentiments are statistically the same as the overall trend.Obstacles to generative AI adoption by proportion of re
17、spondentsRespondentsManufacturingTotal sampleConcerns about ethics,bias,fairness,safetyData privacy and securityData not in a usable stateLack of skills,knowledge,or resourcesLack of investmentC-suite buy-inCant access generative AI toolsfrom corporate computers26%21%30%25%20%22%12%11%9%8%8%6%1%2%No
18、te:Percentage numbers do not add up to 100%because of rounding.Generative AI Radar Manufacturing|9External Document 2024 Infosys Limited Generative AI Radar Manufacturing|9External Document 2024 Infosys Limited 10|Generative AI Radar Manufacturing External Document 2024 Infosys Limited Confidence in
19、 ability to manage and control generative AI systemsOnly 3%of the manufacturing sector is negative about their ability to manage generative AIManufacturing companies are confident in their generative AI management 75%of manufacturing is positive in their ability to manage generative AI,statistically
20、 in line with the overall trend.Only 3%of manufacturing expressed a negative sentiment.Confidence in ability to manage generative AI by proportion of respondentsRespondentsNegativeNeutralPositiveManufacturingTotal sample72%75%21%23%5%3%Note:Sentiment on confdence in managing generative AI systems.Pe
21、rcentage numbers do not add up to100%because of rounding.Generative AI Radar Manufacturing|11External Document 2024 Infosys Limited Manufacturing confident in workforce readinessMost manufacturing companies are confident about the readiness of their workforce for generative AIManufacturing companies
22、 are confident that their teams are ready for generative AI 65%of manufacturing is positive about workforce generative AI readiness,statistically in line with the overall trend(67%).Sentiment on workforce readiness to adopt generative AI by proportion of respondentsRespondentsNegativeNeutralPositive
23、ManufacturingTotal sample65%32%3%67%28%5%Note:Sentiment on confdence in managing generative AI systems.Percentage numbers do not add up to100%because of rounding.12|Generative AI Radar Manufacturing External Document 2024 Infosys Limited Manufacturing firms focused on generative AI leadershipCIOs ar
24、e the main sponsors of generative AI for manufacturing companiesCIOs sponsor generative AI in manufacturing Manufacturing companies are focused on IT requirements of generative AI,with CIOs as the most likely primary sponsors.Fewer manufacturing companies report no one as the primary sponsor 10%of t
25、he overall sample report the primary generative AI sponsor as“to be determined.”Only 5%of manufacturing reported thesame.Primary sponsor of generative AI initiatives by proportion of respondentsChief information ofcerCybersecurity/chiefinformation security ofcerBoard of directorsChief operating ofce
26、rChief executive ofcerChief marketing ofcerLeader of a business unitTo be determined34%29%17%17%17%13%8%9%6%4%5%9%5%10%7%9%RespondentsManufacturingTotal sampleNote:Percentage numbers do not add up to 100%because of rounding.Generative AI Radar Manufacturing|13External Document 2024 Infosys Limited C
27、IOs and boards take lead on regulation But more manufacturing firms prepared to devolve leadership on regulation to lower levelsChief information officers and boards of directors take the regulatory lead28%of CIOs and 22%of boards of directors take the lead on the definition of generative AI regulat
28、ions and policies.However,individual product owners also have a saymanufacturing product owners(19%)take the lead more often compared with the overall trend(13%).Primary generative AI policy maker by proportion of respondentsChief information ofcerBoard of directorsWithin business units andindividua
29、l product ownersCybersecurity/chiefinformation security ofcerLegalTo be determinedChief operating ofcerRespondentsManufacturingTotal sample28%25%22%22%19%13%14%16%7%5%6%13%4%5%Note:Percentage numbers do not add up to 100%because of rounding.14|Generative AI Radar Manufacturing External Document 2024
30、 Infosys Limited About Infosys Knowledge InstituteThe Infosys Knowledge Institute helps industry leaders develop a deeper understanding of business and technology trends through compelling thought leadership.Our researchers and subject matter experts provide a fact base that aids decision making on
31、critical business and technology issues.To view our research,visit Infosys Knowledge Institute at or email us at .16|Generative AI Radar Manufacturing External Document 2024 Infosys Limited 2024 Infosys Limited,Bengaluru,India.All Rights Reserved.Infosys believes the information in this document is
32、accurate as of its publication date;such information is subject to change without notice.Infosys acknowledges the proprietary rights of other companies to the trademarks,product names and such other intellectual property rights mentioned in this document.Except as expressly permitted,neither this do
33、cumentation nor any part of it may be reproduced,stored in a retrieval system,or transmitted in any form or by any means,electronic,mechanical,printing,photocopying,recording or otherwise,without the prior permission of Infosys Limited and/or any named intellectual property rights holders under this document.For more information,contact I|NYSE:INFYStay Connected
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