Leadership priorities

Operational efficiency: what enterprise AI leaders are working on

48%

of 731 themed leaders · 348 leaders

AI strategy
59%
Digital transformation
53%
Operational efficiency
48%
Analytics & decisions
38%
Talent & culture
37%
Growth & partnerships
31%
Data platforms
28%
Data governance
26%
Customer experience
21%
Share of 731 themed leaders, by theme

Source: 731 CIO Vision leader profiles with at least one priority theme, from 739 leaders in the series. Leaders can be counted in more than one theme.

Leaders using data, automation and AI to cut cost, time and effort across the business. The focus is on measurable productivity gains and a clear return on technology spend.

AIM ResearchCIO AI Priorities 2027

Value is discussed and rarely staffed

AI ROI takes 12% of what CIOs say in public and 1% of what their companies hire for.

Read the finding
12%of CIO talk
1%of AI hiring
190companies talk value with no one hired to measure it
Index score1.7 of 12 · rank 5 of 10

Leaders working on Operational efficiency

All 348 leaders
Alessandro PetroniAnil PrasadArchaana PattabhiiArvind SahuAshish DibouliyaCyrus PangEmmanuel Bloch-FischJohn AngKelvin LeLee SarkinMarcel MeyerMarko CetkovicNirmal JingarPaddy (Padmanabh) PadiyarRam ThilakRayan GovindasamyRohan ChopraSpriha G.Sreenivas BollinaSujjath AhmedTsvi GalWee Ming KohXin JinAndy LuiskandlChristopher IwanowskiDevesh MaheshwariGeorge GormanKurt BrissettRobert WilsonAaron JonesAbhishek SharmaAndrew LiCara YickEsther WuJacky TingJimmy AuJoseph IpMichael FlynnNathan PetraliaSayali PimpalkarSiva VenkatVishal VarshneyAmit DingareAmit MainiAnand SinghalBob SpeakmanDan WolfDr. Vijay GandapodiEthiraj PurushothamanGaurav SingalJake ElsonJatinear GivensKyle LarsonMark LawsonMayur NarsudeRob MilsteadSatya A.Shashank KadetotadShuki LichtShyam VaidhyanathanSiddharth GoyalVarun TottempudiVipul GuptaBudiman R.David LiswandiEhetesham AbbasEndy LambeyErwin SusiloKukuh T WicaksonoKunal KairaMadhan SeduramanRhezandra PriatamaRonny TanSufyan MasoodSutisnaVaruna De Wass GunawardVincent HandaraYonatan Kristiono GunadiAddhyan PandeyAkansha SaxenaAnn BhattacharyaBehlul SakaBijan VafaeiCathy KiriakosDessa GypaloGunjan KheraHung JeeJimmy YangJoe LiuLily LiMichelangelo D' AgostinoNalini PolavarapuRaju DebroyRockwell ScottSamir ShahShuen MeiTobias GlitterstamAhmad FaridAkihiko KawanoAtish KumarDemian IchinoseDewa SiswantoHiroshi KurosakiKamran MemonManzur MahtabMasato TakagiMayoran RajendraSuigen KoideTaiki FukunagaTakahiko SugibayashiTomokazu TajiriYoshimichi MatsumuraAbhiraj AvadhaniAna Anastasia LitovchenkoAzlan AhmadBee Teng LimBudiman BujangDarryl MaFabian Teja BoegershausenHong H. OngIja MohanJeff LimJin Shi CheongKhadijah JasniMilan DhingraSerena SeeTs. Edwin Chong Kok HuiTs. Izzat AzizTs. Narayanan ChidambaramZaki PondrenAdam WasylyshynAlexander ShvetsBharath SattiDave MurrayDavid KeyserHimanshu JainJackie CaraballoJacqui NevilsLakshmanan MeyyappanMeghan Barrett WelchNirav ParikhNisheeth ChaudharyRaghu KolathRandy YanoshakSid ChopraTrang NguyenVictor DavidsonVikas SachdevaElan PanneerselvamJeff MorrisonMeenakshi NarayanNamo TiwariPrakhar MehrotraRajit SahaSiwei ShenVishwa RamAamer CharaniaAhmed MunirAmish ChadhaDavid MoraDelara McManusJagadeesh TupakulaJason TrunkKaren NogueiraKrishna Kishore GajjalaLatheef SyedMike TurnerMoin MoinuddinMruna AsooriNachiket DesaiRajitha MunugalaSailesh Bharathwaaj KrishnamurthySandeep AhluwaliaShuchi AgrawalTammye GarrettTania MartinezTheodore JagrupTy EastVino KingstonAanchal DattaAnusua (Anu) TrivediBradd BusickJacques VilarRohit DudaniSriram SankaranBenoit DoumasDalveen G.David R. HardoonFan YangKhalid NizamiLakshmi VenkateshMadhukar MakhijaNatalie (Natz) QueSachin B SinghSam KwongSoumyajit SarcarTinku GuptaVijayarajan SundararajanVishnu NanduriYang Boon QuekAqel KhanBrian KleberCrystal FloresGannon OsburnGreg TownsendHovannes DanielsJames PowellJason BielawskiJeff JohnsonJessica EurichMichael MayesNaren RaviNathan WanNorma GrubbPaula SilvaRajan NarayananRajeev MehrotraShahid MustafaSunil DaryananiTrisha MitraYogesh JoshiAyo BabajideCormac BreenDayanidhi M AadaliEffie KilmerJoel LangeJP BhamuManoj TripathiMaria StefanovaMasood AlamNeil ThewlisNikhil AsthanaPablo FernandezShruti Ahuja-RamamurthySunando DasVladimir BendikowArun Alex PhilipAshish PandeyAwad El-SidiqDeepak KumarDr. Saurabh PramanickJoseph NadiKader Es SlamiKevin NeogyManish VaidyaOsama Salem MoradRahamath MulabagalRishi JainRoshan ThayyilSri LakshmiAchuth RaoBrian CarlsonDavid FapohundaHenry CyrilJanvi DoshiJulia CherashoreMikhail LisovichMoin HaqueNamrata ShahRavikanth GadicherlaSashank MustiSaurav GhoshSharon M.Srini MasanamSundari VeerabahuThomas MavroudisAdris MisraAndy Kiheung NamArun MehtaAshish MishraAshok JakatiAvinash PemmaiahBadrinath PanyamBen RoyceBijit GhoshBiswajit MahapatraBob RappChirag AgrawalChris ChenDarren BullockDavid RobertsDermot O'DohertyDmitriy DovganDmitry MensheninDouglas ElfersDr. Ambrose G. CorrayDr. Joe KopaczEric BruningFerenc SzeliGeorge WangGreg ManarisGuilherme Altieri do AmaralGyan Prakash SrivastavaIsaac KamaleshJabir PatelJames SwaithJason G. CooperKathryn FloresKen LeeMansoor (Mohammad) PanawalaMarco HoppenbrouwerMarcos AcostaMichael FailorMichaela WallinMiguel OuroMohanaselvan (Mohan) JeyapalanMohanaselvan JeyapalanNaveen KolliNiels MeijerNiraj PatelOliver GomesPankaj ChopraParminder BhatiaPavan DhavaleshwarPiper GuzmanPrince PaulrajRajesh SuraRani SinnasamyRanjit VidhaniRobert GaragiolaSachin DwivediSandeep PandeySaurav SumanSean MaccarthyShailesh JainSheetal BudhrajaSnehal KaranjkarSubhashini TripuraneniSujatha KrishnanSumit AroraSven HansenToni BarutiUnais T.Vijay JakkaVikram SinghVince BiancoVishal ChawlaVishal GargVishal ShyamsunderWade MossWaqas ButtWendy ZhangXi LiangYeow Loye S.Damian BohAndrea FarrisChad GhosnMargo F.

Conversations in the room

Panel Discussion: Transforming Enterprises with AI - The Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

Panel Discussion : Transforming Industries with AI: Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

The Vision Talk : Agentic AI Is Not an Automation Strategy. It Is an Operating Model Question.

As organizations move from AI experimentation to agentic AI, treating agents simply as the next step in automation can prevent successful adoption. This talk explores why deploying agentic AI requires leaders to rethink the operating model, particularly around decision-making authority, accountability, and the data foundation that agents rely on. Through a relatable end-to-end customer journey in the property development industry, the session examines how agentic AI can transform customer service across multiple touchpoints and departments, while highlighting where these workflows can break down. The discussion will explore the key organizational decisions leaders need to make before putting their first AI agent into production.

The Vision Talk: AI Transformation - New Ways Of Working

The next phase moves AI beyond pilots into how the enterprise actually runs. Priorities follow business value and ROI, starting with supply chain, customer service, order entry, and software development. A dedicated enablement team drives delivery on a foundation of disciplined buy-versus-build decisions, a secure platform and AI-ready data products. Tiers of training builds an AI-first culture, while live governance policies keep adoption responsible and fast.

Panel Discussion : Transforming Industries with AI: Enterprise Success Stories [パネルディスカッション:AIが産業を変える――エンタープライズ成功事例]

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance. [AI導入が実験段階からエンタープライズレベルの実装へと拡大する中、業界を横断した成功事例から学ぶことの重要性が増しています。このパネルでは、AIが業務効率の向上、より高度な意思決定、そして大規模なパーソナライズされた顧客体験をどのように実現しているかを探ります。リーダーたちは、AIイニシアティブをビジネス目標と整合させる方法、倫理・ガバナンス・人材適応といった課題への対応策について議論します。AIから得られるインサイトを、ビジネスパフォーマンスに直結する実行可能な戦略へと転換するアプローチを考察します。]

Open Roundtable : Building the AI Native Organization

AI-native organizations thrive because they adapt and evolve continuously through AI at every level. By integrating machine learning and automation across operations, they achieve real-time insights and autonomous decision-making that traditional firms can’t match. This panel will examine the cultural, technical, and leadership shifts required to make AI not just a tool, but the foundation of business strategy and execution. How enterprise leaders are using AI to differentiate in the market, gain competitive intelligence, and anticipate future trends.

Show all 14 conversations

Panel Discussion: Transforming Industries with AI: Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

The Vision Talk: Agentic AI: From Hype to Value

As Agentic AI matures, enterprise focus is rapidly shifting from PoCs to scalable implementations that drive measurable ROI. This keynote cuts through the hype to give C-suite leaders a clear-eyed view of what Agentic AI is, and isn’t, why so many initiatives fail to cross into production, and what distinguishes organizations already turning early momentum into compounding value. Attendees will leave with a practical vision for where agentic systems fit, what conditions enable success, and how to approach adoption with the right balance of ambition, governance, and business discipline.

Open Roundtable : Building the AI-Native Organisation

AI-native organizations thrive because they adapt and evolve continuously through AI at every level. By integrating machine learning and automation across operations, they achieve real-time insights and autonomous decision-making that traditional firms can’t match. This panel will examine the cultural, technical, and leadership shifts required to make AI not just a tool, but the foundation of business strategy and execution. How enterprise leaders are using AI to differentiate in the market, gain competitive intelligence, and anticipate future trends

From Productivity Myths to Boardroom Metrics: The Real Levers of AI ROI with 4 Enterprise Stories

In a world where AI is being deployed everywhere, the key question for CDOs and CAIOs is no longer whether to invest, but where to focus to maximize outcomes. In this keynote, Rémy Thellier argues that real AI ROI does not come from productivity gains alone. It comes from targeting the levers that matter most in the boardroom: reducing spend, accelerating revenue, lowering risk, and improving working capital. Joined by four leaders from Snowflake’s AI/ML ecosystem partners, Rémy shares four enterprise stories that show where AI delivers the strongest payoffs—and why. The pattern is clear: value is captured when AI is embedded in governed data foundations, integrated directly into workflows, and tied to explicit economic metrics. Designed for CDOs and CAIOs, this session offers practical guidance on where to place bets, how to avoid diluted effort, and how to move beyond pilots and “hours saved” toward faster time-to-value, safer scale, and durable ROI.

Open Roundtable: Building the AI Native Organization

AI-native organizations thrive because they adapt and evolve continuously through AI at every level. By integrating machine learning and automation across operations, they achieve real-time insights and autonomous decision-making that traditional firms can’t match. This panel will examine the cultural, technical, and leadership shifts required to make AI not just a tool, but the foundation of business strategy and execution. How enterprise leaders are using AI to differentiate in the market, gain competitive intelligence, and anticipate future trends.

Panel Discussion: Transforming Industries with AI - Enterprise Success Stories

As AI adoption expands from experimentation to enterprise-level implementation, understanding sector-spanning success stories becomes essential. This panel will explore how AI drives operational efficiency, smarter decision-making, and personalized experiences at scale. Leaders will discuss methods to align AI initiatives with business goals and address pressing issues around ethics, governance, and workforce adaptation. Panelists will examine methods for turning AI insights into actionable strategies that impact business performance.

The Illusion of AI Productivity — Why AI ROI Slips Away—and Four Enterprise Stories That Solved It

In this keynote-style talk, Rémy Thellier confronts the “illusion of AI productivity”—the growing gap between individual time savings and enterprise-level ROI. While AI adoption is accelerating, most organizations still struggle to translate usage into measurable economic outcomes. The core argument is simple: ROI doesn’t fail because models aren’t good enough; it fails because workflows, governance, operating models, and measurement systems aren’t redesigned to capture value. To move from pilots to profit, Rémy is joined by four guest leaders from four of Snowflake’s most strategic AI/ML ecosystem partners. Together, they present a series of customer stories showing how enterprises convert AI from isolated productivity boosts into measurable financial impact—by embedding AI into governed data foundations, integrating it directly into operational workflows, and tying initiatives to concrete economic levers: cycle-time reduction that accelerates revenue, external spend compression, and operational risk reduction. Examples include an agentic application for IT software license management that identifies waste and automates reclamation, and a centralized, AI-powered marketing & sales decision engine that unifies signals across channels to improve pipeline quality, conversion, and execution speed. Designed for CDOs and CAIOs, the session delivers pragmatic shortcuts to results: repeatable patterns, proven metrics, and implementation playbooks that help leaders move beyond “hours saved” to board-ready outcomes—faster time-to-value, safer scale, and durable ROI.

Related field notes

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