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    TCS is here to make a difference through technology.

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      TCS is here to make a difference through technology.

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      15 May 2025 TCS Recognized as One of the World’s Top 50 Brands by Kantar BrandZ; Brand Value Soars 28% YoY to $57.3Bn
      14 May 2025 TCS Partners with Khan Bank to Future-Proof its Operations, Enhance Customer Experience and Propel Innovation leveraging AI and ML
      12 May 2025 TCS Partners with Dhofar Insurance Company to Transform its Core Insurance Platform
      View all
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      23 Apr 2025 TCS Partners with Google Cloud on Agent-to-Agent Interoperability Protocol to Drive Future-Ready Enterprises
      11 Apr 2025 TCS Partners with Google Cloud to Accelerate AI-led Transformation in the Retail Sector
      View all
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      22 Apr 2025 TCS Ranked #6 Amongst Banking Technology Providers and Recognized as a Regional Leader across all Geographies by Everest Group
      17 Apr 2025 TCS BaNCS Named a Leader Among Wealth Management Products by Everest Group
      01 Apr 2025 TCS Positioned as a Leader in Worldwide Discrete Manufacturing Product Lifecycle Management Strategic Consulting Services and Systems Integration by IDC MarketScape
      View all
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    • Global studies

    From potential to performance by design

    TCS AI for Business Study–Findings for Technology Companies

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    TCS AI for Business Study - Technology-Semiconductors Report (26 pgs)
    From potential to performance by design - Technology (26 pgs)

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    Reimagining business with AI

    The technology companies play a crucial role in driving innovation and transforming businesses across various sectors.

    According to the TCS AI for Business Study, almost two-thirds of senior executives in technology companies are optimistic about the potential of AI to make a significant impact on their organizations. This report offers valuable insights into how companies in semiconductors, electronic systems and platforms, network technologies, software, and professional services are actively developing AI strategies to stay ahead in the game.

    The report examines:

    The driving factors for AI implementations in technology companies.

    • AI’s role in redefining the technology companies.
    • Emerging AI trends in the customer experience.
    • Evolving skills and roles in the technology companies.
    • AI strategies for technology companies.
    • Alignment of AI implementations with business results.

    Download the full report

    The transformative power of AI

    Many technology companies have a positive sentiment toward AI.

    Technology Company Executives Survey

    An image depicting the technology associates have a positive sentiment towards AI.

    Technology Company Executives Survey

    Close
    Technology Company Executives Survey
    Technology Company Executives Survey

    According to the study, most technology companies are preparing for AI with:

    • 70% of them are currently reworking or planning to rework their business strategy or operations.

    And

    • 93% of them have AI implementations planned, in process, or already completed.

    Yet there is no consensus on AI adoption strategies and not enough metrics to measure success, with:

    76% of companies saying they need better KPIs for their AI implementations.

    Current state of AI

    According to the AI for Business Study Technology report:

    • 62% of corporate functions have AI implementations in process or have completed AI projects.
    • 33% of corporate functions are planning AI implementations.


    Yet there is a gap between aspiration and reality with:

    • Only 7% of senior technology executives say AI is a differentiating factor for business transformation.

    What is hampering AI progress in technology companies?

    Top AI challenges for technology

    A figure listing the top three challenges faced by technology companies, such as current IT infrastructure, existing contracts and relationships, and customer expectations.

    Top AI Challenges – Technology Companies

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    Top AI Challenges – Technology Companies
    Top AI challenges for technology

    Challenges around generative AI

    When it comes to concerns about AI, especially with the raise of generative AI (GenAI), the following five strategic challenges are top of mind for technology companies, according to the study:

    • Redesign of customer experiences
    • Reevaluation of business strategies and models
    • Lack of IT readiness
    • Digital ecosystem participation
    • Ethical and responsible use of AI

    Not enough metrics for ROI

    As the integration of AI into business processes accelerates, expected financial return on such an investment becomes increasingly significant. As shown in the study:

    • Only 12% of technology companies said they have "good enough" metrics and KPIs for their current stage of AI deployments.
    • Without adequate KPIs for AI-enabled operations, proving ROI and getting future buy-in is challenging.

    Key findings—future of AI

    Most technology executives believe AI will augment and enhance human capabilities, enabling people to focus on higher-value activities that require creativity, empathy, and strategic thinking.

    57% think human strategic decision-making and creativity will remain essential to their competitive advantage.

    As AI becomes more advanced and part of “business as usual,” the role of humans in the workplace will evolve.

    58% of technology companies expect up to half of their employees will be using GenAI every day in the next three years.

    Innovation and revenue growth will be a focus for future AI implementations.

    58% of pacesetters in technology companies — the financially overperforming companies we surveyed—are primarily focused on using AI to spur innovation.

    TCS AI for business study

    Key findings for Semiconductor companies

    Generative AI is a game-changer for semiconductor companies, unlocking unprecedented opportunities to revolutionize chip design, streamline operations, and elevate industry best practices. This report, based on insights from the TCS AI for Business Study, reveals how leading semiconductor firms are harnessing AI's transformative power to stay ahead in the fast-evolving tech landscape. 

    Read the report

    TCS recommendations

    • Identify
    • Strategy
    • Culture
    • Customer
    • Success
  • Identify
  • Strategy
  • Culture
  • Customer
  • Success
  • Prioritize High-impact AI use cases for maximum business value

    Concentrate on identifying AI use cases that deliver significant business value by enhancing operational efficiency through automation and predictive maintenance, enabling intelligent decision-making, optimizing value chains, and creating more personalized customer experiences. These strategic applications of AI will drive deeper engagement, increase revenue, and position your enterprise for sustained success.

    Develop a resilient AI strategy for sustainable growth

    Formulate a comprehensive AI strategy that not only boosts quality, reduces risks, and enhances operational efficiency but also aligns with your long-term business objectives. By adopting a multidimensional approach, your enterprise can build a resilient and adaptive organization, well-prepared to navigate the evolving landscape and achieve sustained growth through AI.

    Create a culture for AI success

    Prioritize both technological investment and cultural transformation. Foster a culture that embraces change, encourages experimentation, and promotes continuous learning while building the necessary infrastructure. By nurturing agility and openness aligned with your key business goals, your organization can seamlessly integrate AI technologies, driving long-term success and gaining a competitive edge.

    Elevate customer engagement with AI

    Build deeper connections with your customers by leveraging AI to deliver personalized, proactive, and meaningful experiences at every touchpoint in their journey. AI empowers your company to anticipate customer needs, tailor interactions, and provide targeted information that not only enhances customer satisfaction but also sets your brand apart, strengthening loyalty, and driving long-term success.

    Empower your enterprise for the AI-driven future

    Prepare for success by harnessing AI's potential to expand revenue opportunities and drive innovation. Embrace AI not just as a tool for automation, but as an accelerator for growth that will redefine roles, empower your workforce, and unlock new value. In the semiconductor industry, Generative AI is key to revolutionizing chip design, streamlining operations, and setting new benchmarks for best practices. By strategically adopting AI, your enterprise can lead the way in the digital era, staying ahead of the curve and thriving in a rapidly evolving landscape.

    Scale

    Prioritize enterprise readiness for scaling up successful pilot programs.

    Success in the controlled environment of a pilot/POC exercise is no guarantee of success in scaled productionization. Invest in initiatives to prepare your data, tooling, architectures, and people for enterprise-wide AI adoption.

    About the study

    TCS’ Thought Leadership Institute conducted an anonymous study of approximately 1,272 senior executives with P&L responsibilities in 12 industry sectors across Asia, Europe, Nordics, LATAM, North America, and the United Kingdom and Ireland, with respondents having an annual revenue of $5 billion to $100 billion. The technology companies findings are based on feedback received from 89 survey respondents. This global study examines how CEOs, LOBs, directors, and business line managers are preparing their business to be AI-ready, focusing on aspects such as their strategy around operations, talent, and future implementation plans. The study also provides best practice recommendations based on these insights.

    Related reading

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    TCS AI for Business Study Key Findings

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