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1、GENERATIVE AIRADARHIGH TECH Generative AI Radar High tech|3External Document 2024 Infosys Limited Generative AI Radar High techGenerative AI is still new,yet enterprises are already exploring its transformative potentialThis year will bring further developments in generative AI as organizations get

2、to grips with this transformative technology.So where are they now?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 12 industries

3、:Many companies told us they are already 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 high tech compares with the rest of the pack.Automotive Consumer package goods Energy,mining,or utiliti

4、es Financial services Healthcare High tech Insurance Life sciences Logistics or supply chain Manufacturing Retail or hospitality Telecommunications4|Generative AI Radar High techExternal Document 2024 Infosys Limited Spending will more than doubleHigh tech in the top third of sectors for spending gr

5、owthHigh techs spending isset to grow by 135%in next year Hightech spent more than$1 billionon generative AI in 2023,with this projected to grow to$2.5 billion in2024.This growth is the fourth highest across all 12 industries we sampled.Generative AI spending:High tech industry spendingExpected gene

6、rative AI spending growth in 2024 by industryReported spendExpected spendSpending in millions($USD)135%$0$1000$2000$3000$2,533$1,08020232024TelecommunicationsRetail or hospitalityManufacturingLogistics or supply chainLife sciencesInsuranceHigh techHealthcareFinancial servicesEnergy,mining,or utiliti

7、esConsumer packaged goodsAutomotive32%88%103%73%36%358%135%53%164%76%65%169%Expected generative AI spending growth in 2024IndustryGenerative AI Radar High tech|5External Document 2024 Infosys Limited Generative AI beds in74%of high tech companies are implementing or have generated business value fro

8、m generative AINearly all high tech companies have started their generative AI journey Only 5%of our high tech industry sample has not started experimenting with generative AI.One-fifth of high tech firms have use cases that generate business value 21%of our high tech sample has already created busi

9、ness value through their generative AI use cases,compared with 13%of our overall sample.Does 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 solutionsH

10、as established generative AI usecases that create business value21%13%53%40%21%31%5%15%Increasing generative AI adoption levelRespondents(%)High techTotal sampleGenerative AI adoption by proportion of respondents6|Generative AI Radar High techExternal Document 2024 Infosys Limited User experience le

11、ads high techs generative AI optimismHigh tech companies expect biggest gains in this key use caseHigher optimism for user experience High tech expects generative AI to have higher positive impact on user experience than the total sample(45%vs 31%).High tech companies least optimistic about improved

12、 content generation and creativity 6%of the high tech industry believe generative AI will have a positive impact on content and creativity,much less than the total sample(19%).Enhanced user experience and personalizationIncreased operational efciency and automationStreamlined product development and

13、 designImproved content generation and creativity6%19%23%27%26%24%45%31%Respondents(%)Total sampleHigh techWhere companies expect generative AI to have the most impactGenerative AI Radar High tech|7External Document 2024 Infosys Limited High tech is optimistic about generative AIHigh tech is more po

14、sitive about generative AIs business impact than the overall sampleThe high tech industry is positive about generative AIs impact on business 83%of high tech believe generative AI will have a positive impact on business.Only 3%of the industry reported negative sentiment about generative AIs business

15、 impact.Note:We calculated“business impact sentiment”by asking survey respondents to rate their sentiment on generative AIs impact on the following business areas:business model,cost efficiency,profit,reputation,revenue,and talent.Then we combined those answers into one measure.Expectated generative

16、 AI impact on business areas by proportion of respondentsTotal sampleHigh tech83%14%3%76%17%8%Respondents(%)Negative sentimentNeutral sentimentPositive sentimentBusiness impact sentiment8|Generative AI Radar High techExternal Document 2024 Infosys Limited Obstacles to generative AI adoptionHigh tech

17、 is most concerned with data privacy,security,and usability.High tech firms worried about data privacy and security,as well as the usability of data 37%of high tech ranked data privacy and security as their top challenge to generative AI adoption.Another 25%of high tech firms ranked data usability a

18、s their key obstacle.These sentiments are statistically the same as the overall trend.Obstacles to generative AI adoption by proportion of respondentsData privacy and securityData not in a usable stateConcerns about ethics,bias,fairness,safetyLack of investmentC-suite buy-inCant access generative AI

19、 tools from corporate computers2%2%4%6%5%8%16%21%25%22%37%30%Respondents(%)High techTotal sampleLack of skills,knowledge,or resources11%11%Note:Percentage of respondents ranking challenge as biggest obstacle to implementing generative AI.Percentages do not add up to 100%because of rounding.Generativ

20、e AI Radar High tech|9External Document 2024 Infosys Limited Generative AI Radar High tech|9External Document 2024 Infosys Limited 10|Generative AI Radar High techExternal Document 2024 Infosys Limited High tech companies are confident in their managementOnly 1%of the high tech sector is negative ab

21、out their ability to manage generative AIHigh tech companies more confident in their generative AI management 90%of the high tech is positive in their ability to manage generative AI compared to 82%of our overall sample.Only 1%of high tech expressed a negative sentiment.Confidence in ability to mana

22、ge generative AI by proportion of respondentsRespondents(%)High techTotal sample90%82%8%12%1%6%Negative sentimentNeutral sentimentPositive sentimentNote:Sentiment on confidence in managing generative AI systems.Percentages do not add up to 100%because of rounding.Generative AI Radar High tech|11Exte

23、rnal Document 2024 Infosys Limited Workforce generative AI readinessMost of high tech is confident about the readiness of their workforce for generative AIHigh tech companies are significantly more confident than other industries than that their teams are ready for generative AI 83%of high tech is s

24、ignificantly more positive about workforce generative AI readiness than our overall survey(67%).Sentiment on workforce readiness to adopt generative AI by proportion of respondentsNote:Sentiment on confidence in managing generative AI systems.Percentages do not add up to 100%because of rounding.Resp

25、ondents(%)Negative sentimentNeutral sentimentPositive sentimentHigh techTotal sample83%67%28%5%7%10%12|Generative AI Radar High techExternal Document 2024 Infosys Limited High tech firms focused on generative AI leadershipIT and cybersecurity leadership are the main sponsors of generative AI for hig

26、h tech companiesCIOs and CISOs sponsor generative AI in high tech High tech companies are focused on the tech requirements of generative AI and are more likely to have the CIO and CISO as the primarily sponsors of generative AI.High tech CISOs sponsor generative AI initiatives more often than the ov

27、erall trend(35%vs.17%).Fewer high tech companies reported no one as the primary sponsor 10%of the overall sample report the primary generative AI sponsor as“to be determined”.Only 2%of high tech reported the same.Primary sponsor of generative AI intiatives by proportion of respondentsRespondents(%)H

28、igh techTotal sampleChief marketing ofcerTo be determinedChief operating ofcerBoard of directorsChief executive ofcerLeader of a business unitChief information ofcerCybersecurity/chief informationsecurity ofcer35%32%29%10%10%4%1%2%9%9%9%5%13%7%7%17%Generative AI Radar High tech|13External Document 2

29、024 Infosys Limited Security chiefs lead on regulation in high tech firmsStrong awareness of the demands of ethics and regulation in high tech firmsCybersecurity and chief information officers take the regulatory lead 23%of cybersecurity officers and 22%of chief information officers(CIOs)take the le

30、ad definition of generative AI regulations and policies.However,high tech board of directors take the lead less often than the overall sample(22%).Primary generative AI policy maker by proportion of repondentsHigh techTotal sampleChief operating ofcerTo be determinedLegalBoard of directorsWithin bus

31、iness units andIndividual product ownersChief information ofceror otherwise within itCybersecurity/chiefInformation security ofcer23%16%22%25%20%13%15%22%8%5%5%6%6%13%Respondents(%)14|Generative AI Radar High techExternal Document 2024 Infosys Limited About Infosys Knowledge InstituteThe Infosys Kno

32、wledge 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 critical business and technology issues.To view our research,visi

33、t Infosys Knowledge Institute at or email us at .16|Generative AI Radar High techExternal Document 2024 Infosys Limited 2024 Infosys Limited,Bengaluru,India.All Rights Reserved.Infosys believes the information in this document is accurate as of its publication date;such information is subject to cha

34、nge 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 documentation 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