Close Menu
  • Home
  • AI Models
    • DeepSeek
    • xAI
    • OpenAI
    • Meta AI Llama
    • Google DeepMind
    • Amazon AWS AI
    • Microsoft AI
    • Anthropic (Claude)
    • NVIDIA AI
    • IBM WatsonX Granite 3.1
    • Adobe Sensi
    • Hugging Face
    • Alibaba Cloud (Qwen)
    • Baidu (ERNIE)
    • C3 AI
    • DataRobot
    • Mistral AI
    • Moonshot AI (Kimi)
    • Google Gemma
    • xAI
    • Stability AI
    • H20.ai
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Microsoft Research
    • Meta AI Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding & Startups
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • Expert Insights & Videos
    • Google DeepMind
    • Lex Fridman
    • Matt Wolfe AI
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • Matt Wolfe AI
    • The TechLead
    • Andrew Ng
    • OpenAI
  • Expert Blogs
    • François Chollet
    • Gary Marcus
    • IBM
    • Jack Clark
    • Jeremy Howard
    • Melanie Mitchell
    • Andrew Ng
    • Andrej Karpathy
    • Sebastian Ruder
    • Rachel Thomas
    • IBM
  • AI Policy & Ethics
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
    • EFF AI
    • European Commission AI
    • Partnership on AI
    • Stanford HAI Policy
    • Mozilla Foundation AI
    • Future of Life Institute
    • Center for AI Safety
    • World Economic Forum AI
  • AI Tools & Product Releases
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
    • Image Generation
    • Video Generation
    • Writing Tools
    • AI for Recruitment
    • Voice/Audio Generation
  • Industry Applications
    • Finance AI
    • Healthcare AI
    • Legal AI
    • Manufacturing AI
    • Media & Entertainment
    • Transportation AI
    • Education AI
    • Retail AI
    • Agriculture AI
    • Energy AI
  • AI Art & Entertainment
    • AI Art News Blog
    • Artvy Blog » AI Art Blog
    • Weird Wonderful AI Art Blog
    • The Chainsaw » AI Art
    • Artvy Blog » AI Art Blog
What's Hot

How the Launch of AI Teammates and Moveworks Partnership at Asana (ASAN) Has Changed Its Investment Story

Setting Up A CLM – From Pilot to Production in 90 Days – Artificial Lawyer

SurveyBench: How Well Can LLM(-Agents) Write Academic Surveys? – Takara TLDR

Facebook X (Twitter) Instagram
Advanced AI News
  • Home
  • AI Models
    • OpenAI (GPT-4 / GPT-4o)
    • Anthropic (Claude 3)
    • Google DeepMind (Gemini)
    • Meta (LLaMA)
    • Cohere (Command R)
    • Amazon (Titan)
    • IBM (Watsonx)
    • Inflection AI (Pi)
  • AI Research
    • Allen Institue for AI
    • arXiv AI
    • Berkeley AI Research
    • CMU AI
    • Google Research
    • Meta AI Research
    • Microsoft Research
    • OpenAI Research
    • Stanford HAI
    • MIT CSAIL
    • Harvard AI
  • AI Funding
    • AI Funding Database
    • CBInsights AI
    • Crunchbase AI
    • Data Robot Blog
    • TechCrunch AI
    • VentureBeat AI
    • The Information AI
    • Sifted AI
    • WIRED AI
    • Fortune AI
    • PitchBook
    • TechRepublic
    • SiliconANGLE – Big Data
    • MIT News
    • Data Robot Blog
  • AI Experts
    • Google DeepMind
    • Lex Fridman
    • Meta AI Llama
    • Yannic Kilcher
    • Two Minute Papers
    • AI Explained
    • TheAIEdge
    • The TechLead
    • Matt Wolfe AI
    • Andrew Ng
    • OpenAI
    • Expert Blogs
      • François Chollet
      • Gary Marcus
      • IBM
      • Jack Clark
      • Jeremy Howard
      • Melanie Mitchell
      • Andrew Ng
      • Andrej Karpathy
      • Sebastian Ruder
      • Rachel Thomas
      • IBM
  • AI Tools
    • AI Assistants
    • AI for Recruitment
    • AI Search
    • Coding Assistants
    • Customer Service AI
  • AI Policy
    • ACLU AI
    • AI Now Institute
    • Center for AI Safety
  • Business AI
    • Advanced AI News Features
    • Finance AI
    • Healthcare AI
    • Education AI
    • Energy AI
    • Legal AI
LinkedIn Instagram YouTube Threads X (Twitter)
Advanced AI News
IBM

Indian Enterprises Put Key AI Roles in the Leadership Table: IBM Study

By Advanced AI EditorOctober 6, 2025No Comments4 Mins Read
Share Facebook Twitter Pinterest Copy Link Telegram LinkedIn Tumblr Email
Share
Facebook Twitter LinkedIn Pinterest Email


You’re reading Entrepreneur India, an international franchise of Entrepreneur Media.

Indian enterprises are building strong momentum in AI leadership, with Chief AI Officers (CAIOs) emerging as a key driver of strategy and execution, according to a new study by the IBM Institute for Business Value. With CAIOs taking a strategic seat at the leadership table, Indian enterprises are combining technical depth with executive expertise to accelerate AI adoption.

The study finds that 77 per cent of CAIOs in India report strong C-suite support (including 67 per cent reporting CEO support), reflecting strong organizational alignment to scale AI effectively. Furthermore, while 25 per cent of Indian enterprises surveyed currently have a CAIO, 67 per cent of them aim to have one within the next two years, demonstrating India’s growing appetite for aligning a leader to direct AI strategy that drives measurable outcomes.

This momentum is backed by impact, as globally organizations with a CAIO see a 10 per cent higher return on investment (ROI) on AI spend, underscoring the value of strong AI leadership and strategic alignment in driving business results.

“As Indian enterprises move from pilots to scaled AI adoption, the role of the CAIOs will be central to their AI transformation journeys. CAIOs will not only bridge the gap between business and technology but also set the strategic direction and keep teams aligned on shared goals,” said Viswanath Ramaswamy, Vice President, Technology, IBM India & South Asia. “To succeed, CAIOs must develop a clear transformation roadmap with measurable KPIs, foster alignment with the C-suite on business priorities and focus on initiatives that deliver a sustainable and competitive edge.”

Other key findings for India suggest that 80 per cent CAIOs are consulted by other CXOs on important AI decisions. 57 per cent of Indian CAIOs were appointed internally, highlighting the development of AI leadership talent from within enterprises. 60 per cent of CAIOs report directly to either the CEO or the Board of Directors.

Indian CAIOs are taking on comprehensive responsibilities spanning strategy, directing technical implementation, managing budgets and upskilling talent. The study found that the top three responsibilities of Indian CAIOs were, defining the organization’s AI strategy (70 per cent), developing change management strategy for AI adoption (57 per cent), and directing implementation of AI (57 per cent). These figures are, on average, 10 percentage points higher than global respondents, suggesting that Indian CAIOs place greater emphasis on these areas and are scaling AI more rapidly than their global peers.

Interestingly, many CAIOs are also overseeing upskilling (43 per cent) and reskilling (37 per cent) of employees in AI. 60 per cent stated that their AI budget is controlled by the CAIO, strengthening accountability.

In terms of technical depth, 70 per cent of Indian CAIOs have a background in data, aligned with global counterparts. 73 per cent come from technology roles while 50 per cent have an innovation background, reinforcing their ability to lead transformation agendas.

While 67 per cent of Indian organizations are still primarily investing in AI pilots, the combination of strong leadership support and CAIOs’ strategic orientation will provide a strong foundation for accelerating scaled AI adoption. Only 18 per cent of Indian CAIOs find AI implementation very difficult (versus 30 per cent globally), reflecting a more optimistic execution environment.

AI solutions provider Findability Sciences believes AI succeeds when someone truly owns it, and that’s what the CAIO brings to the table. “In organizations we work with, CAIOs are turning AI from a technology project into a growth engine. The IBM study highlights a new reality: Indian enterprises now view AI as central to competitiveness, not a peripheral experiment. Strategic AI leadership is no longer a trend; it’s a business imperative,” said Anand Mahurkar, Founder and CEO, Findability Sciences.



Source link

Follow on Google News Follow on Flipboard
Share. Facebook Twitter Pinterest LinkedIn Tumblr Email Copy Link
Previous ArticleCompetition heats up to challenge Nvidia’s AI chip dominance
Next Article OpenAI looks to take 10% stake in AMD through AI chip deal
Advanced AI Editor
  • Website

Related Posts

Kyndryl Holdings: Navigating Growth Challenges and Transition from IBM with a Focus on Cash Flow and AI Opportunities

October 6, 2025

Stocks to Gain From Quantum Computing in 2025: MSFT, IBM, QBTS, IONQ – October 2, 2025

October 3, 2025

😺 IBM just beat models 12x its size

October 3, 2025

Comments are closed.

Latest Posts

Sotheby’s to Sell René Magritte Held in Same Collection for 100 years

Former ARTnews Publisher Dies at 97

National Gallery of Art Closes as a Result of Government Shutdown

Almine Rech Closes London Gallery After More Than a Decade

Latest Posts

How the Launch of AI Teammates and Moveworks Partnership at Asana (ASAN) Has Changed Its Investment Story

October 6, 2025

Setting Up A CLM – From Pilot to Production in 90 Days – Artificial Lawyer

October 6, 2025

SurveyBench: How Well Can LLM(-Agents) Write Academic Surveys? – Takara TLDR

October 6, 2025

Subscribe to News

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

Recent Posts

  • How the Launch of AI Teammates and Moveworks Partnership at Asana (ASAN) Has Changed Its Investment Story
  • Setting Up A CLM – From Pilot to Production in 90 Days – Artificial Lawyer
  • SurveyBench: How Well Can LLM(-Agents) Write Academic Surveys? – Takara TLDR
  • How Deepseek 3.2 Reduces Costs While Boosting AI Performance
  • HCLTech joins MIT Media Lab US to collaborate on AI research

Recent Comments

  1. Richardsmeap on [2405.19874] Is In-Context Learning Sufficient for Instruction Following in LLMs?
  2. Howardunicy on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  3. 독학기숙학원 on 1-800-CHAT-GPT—12 Days of OpenAI: Day 10
  4. Emerson Versluis on C3 AI and Arcfield Announce Partnership to Accelerate AI Capabilities to Serve U.S. Defense and Intelligence Communities
  5. best audit firm singapore on Building a foundation with AI to jumpstart your journalism

Welcome to Advanced AI News—your ultimate destination for the latest advancements, insights, and breakthroughs in artificial intelligence.

At Advanced AI News, we are passionate about keeping you informed on the cutting edge of AI technology, from groundbreaking research to emerging startups, expert insights, and real-world applications. Our mission is to deliver high-quality, up-to-date, and insightful content that empowers AI enthusiasts, professionals, and businesses to stay ahead in this fast-evolving field.

Subscribe to Updates

Subscribe to our newsletter and never miss our latest news

Subscribe my Newsletter for New Posts & tips Let's stay updated!

LinkedIn Instagram YouTube Threads X (Twitter)
  • Home
  • About Us
  • Advertise With Us
  • Contact Us
  • DMCA
  • Privacy Policy
  • Terms & Conditions
© 2025 advancedainews. Designed by advancedainews.

Type above and press Enter to search. Press Esc to cancel.