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AI Insights

Explore our global insights that look at how you can build confidence in AI, drive exponential value throughout your organization and deliver positive human impact.




EY is named a Horizon 3 Market Leader in the HFS Research Horizons: Generative Enterprise Services 2025 Report.


AI-powered growth: GenAI as a new engine of US economic performance

Discover how Generative AI is fueling significant AI-powered growth in the US economy, with a rapid rise in AI adoption across industries.

Preparing for the agentic AI revolution

Agentic AI is coming. Learn how to build the governance, data and process foundations to scale it responsibly.

From autonomy to accountability: responsible AI in multi-agent systems

Discover how multi-agent systems are reshaping responsible AI. Learn key strategies for governance, accountability and ethical deployment.

What risk managers should know about cybercrime and insurance coverage

Insurance coverage, pre-event preparation and effective response strategies reduce the impact of cyberattacks. Learn more.

How data and AI enable utility operations resilience

EY and Microsoft professionals discuss the convergence of IT and OT in the utilities sector, as well as the power of generative AI. Learn more.

How Microsoft 365 Copilot builds customer trust with responsible AI

With EY’s help, a leading AI solution became ISO 42001 certified and enhanced its responsible AI practices. Learn more in this case study.

Offense not defense: organizations must lead as data regulation evolves

As data regulation evolves, organizations must shift from compliance to value creation. Explore how to lead with trust and innovation.

Addressing AI bias: a human-centric approach to fairness

Remediating AI bias is essential for fostering responsible AI development and driving equitable outcomes. Read our report to learn more.

Discover how the EY-Microsoft Alliance generates value for clients by unlocking the power of data and AI

Discover how an American manufacturer overcame operational constraints and streamlined production processes through partnership with the EY team.

How embracing AI built intelligent efficiencies for a manufacturing leader

Rising geopolitical tensions, globalization of third-party partnerships, and rapid advances in AI and technology all present intersecting challenges.

Are you ready for the next wave of AI?

Discover how organizations can navigate AI transformation through executive engagement, strategic governance and overcoming challenges for optimal ROI.

Cyber study: How the C-suite disconnect is leaving organizations exposed

A 2025 EY study shows a consensus on the importance of cybersecurity among executives and a correlation between share price declines and cyber breaches.

Leveraging GenAI helps an agency secure critical federal funding

Discover how the Oklahoma mental health and substance abuse agency utilized AI to streamline its research and writing for federal grant applications.

Amy Jones + 1

Understanding the role of ISO 42001 in achieving responsible AI

Learn how ISO/IEC 42001 is shaping the future of ethical artificial intelligence (AI), and how to align AI practices with your goals and mitigate risks.

How AI agents will take GenAI from answers to actions.

AI agents know when to start a series of actions and complete them. Here are three ways to prepare today as the technology matures. Learn more.

Addressing AI risks: Preventing bias and achieving ethical AI use

Adopt AI responsibly by addressing job displacement, skill gaps, and biases. Learn how to ensure ethical use with transparency and governance.

The big leap: Getting data AI-ready

Generative AI's rise demands robust data strategies for full benefits. Tackle data quality, governance, and ethics to unlock AI's potential.

Boost brand loyalty and grow with new GenAI marketing capabilities

GenAI is creating competitive advantages with personalized, compelling engagement and innovative strategies.

Six pillars for AI success: how the C-suite can drive results

Competitive advantage rests on these capabilities and functions. But overlooking just one creates an unstable foundation. Learn how to evolve quickly.

Four actions to pioneer responsible AI in any industry

Leaders in tech must adopt ethical AI frameworks to ensure responsible innovation. Learn more.

Why AI fuels cybersecurity anxiety, particularly for younger employees

Workers say they are worried that they are putting their organizations — and careers — at risk, new EY survey says. Here’s what to do about it.

Responsible AI means finding the balance between risk and reward

Understand the key challenges, potential risks, and strategies for adopting AI responsibly with these practical guidelines

Four ways boards can support the effective use of AI

Find out four ways boards can enhance their oversight of AI to create operating efficiencies and support strategy and growth.

How global business leaders can harness the power of GenAI

Learn about five strategic lessons for business leaders seeking to successfully utilize the power of GenAI.

GenAI risks and challenges for the economy

Learn about the expected impact of GenAI on the labor market by exploring our four key findings regarding GenAI use.

How evolution of AI in testing can become a revolution

Use of AI in testing will move from enabler to transformer over the next five years. Learn more.

How to build a strong foundation for federal AI adoption

Discover the EY federal AI report findings on how to build a strong foundation for federal AI adoption.

AI-driven constituent engagement in government contact centers

Explore how AI can transform state and local government contact centers to improve constituent experiences and engagement.

How pharma can benefit from using GenAI in drug discovery

Using GenAI in drug discovery is a hot topic in the pharmaceutical industry, with speed and cost savings seen as potential benefits. Learn more.

How to navigate global trends in Artificial Intelligence regulation

Learn why the AI regulatory approach of eight global jurisdictions have a vital role to play in the development of rules for the use of AI.

Four steps to implement a large language model successfully

Organizations are eager to adopt LLMs, but navigating potential pitfalls can be challenging. Learn more.

The transformation imperative: generative AI in wealth and asset management

Wealth and asset management must focus on foundational areas as they embed generative AI into core business operations and drive transformative change.

    Beyond cost cutting: AI as the ultimate growth engine

    Companies can reframe their AI strategy to harness its capacity for unprecedented business expansion and innovation.

    Evolving data management: 3 ways to scale AI for the future

    Discover three ways to evolve your data management strategy to scale AI for the future. Build trust, agility and value with future-ready data.

    Building the business case for responsible AI: 10 steps to success

    Responsible AI is a business imperative for organizations to capitalize on billion-dollar opportunities safely. Learn more.

    How ModelOps frameworks bridge AI governance and operational value

    ModelOps capabilities enable responsible AI governance, regulatory compliance and scalable model deployment. Learn how.

    The GenAI platform guide: five principles for a secure, scalable and responsible GenAI platform

    Explore five guiding principles and the reference architecture for building a secure, scalable GenAI platform. Download the full guide.

    Does today’s disruption provide the blueprint for tomorrow’s growth?

    EY-Parthenon CEO Survey September 2025 reveals how leaders build confidence, resilience, and growth strategies amid disruption and transformation.

    Navigating the evolution of generative AI: what’s next for organizations

    Explore how the evolution of generative AI is reshaping innovation, ethics and sustainability for organizations.

    When and how to use GenAI in late-stage clinical development

    Discover the impact of GenAI in clinical trials, including potentially improved trial design and streamlined regulatory processes for drug development.

    Prepare your data for success

    CDO roadmap: Is your data AI-ready? Leverage your business data for AI success. | Find out more.

    5 ways consumer data can work harder for your business and customers

    Boost customer loyalty with AI-driven personalization. Balance data privacy and personalization through cross-functional collaboration for optimal results.

    7 steps to leveraging your data effectively in the AI era

    Unlock the potential value of AI in your business by prioritizing data quality, investing in talent, and thinking big.

    How to maximize your AI investments now and in the future

    Enhance AI capabilities with data infrastructure, ethical governance, and strategic talent management to drive enterprise success.

    How AI can drive an advantage in transport and infrastructure

    Read more on how national governments and large organizations can leverage AI to find solutions for shortfalls in infrastructure investment.

    How GenAI could simplify rate filings amid energy transition movement

    Unlock growth and equity in utility rate case filings with strategic financial and customer engagement tactics.

    Why autonomous AI “agents” will be so important to your business

    AI agents are reshaping business as usual. Discover AI's transformation from mere tools to autonomous, strategic partners.

    How Bayer is unearthing agronomy's future with generative AI

    Read this case study to learn how Bayer Crop Science is using large language models to plant the seeds of the future.

    How AI in customer service can turn pain points into wow moments

    AI in customer service can provide data-driven customization, speed and innovation that helps sales and marketing. Read more.

    How to choose GenAI for business: efficiency over complexity

    Use minimum intelligence necessary to deploy efficient AI solutions. Ditch the one-size-fits-all mindset of always using the largest foundational model.

    How pursuing GenAI can transform mortgage lending

    By applying GenAI innovations across the lifecycle, mortgage lenders can gain a strategic advantage. Learn more.

    How to revolutionize the insurance value chain with generative AI 

    Prioritizing the right use cases and establishing key capabilities will promote innovation and efficiency across the value chain. Learn more.

    How can cybersecurity transform to accelerate value from AI?

    With AI adoption across business functions booming, CISOs can reposition cybersecurity from the “department of no” to accelerators of AI value. Learn more.

    Nuvalence joins EY, expanding digital engineering and generative AI capabilities

    Ernst & Young LLP (EY US) today announced Nuvalence, a technology consultancy, has joined EY US to accelerate the delivery of platform engineering, product development and generative AI (GenAI) platform-enabled services to organizations across industries and sectors.

    How GenAI changes the way CPG and retail operate — and consumers too

    As generative AI for business takes-off so do generative AI business use cases for retail and CPG. But GenAI will change consumer behavior too. Learn more.

    Five priorities for winning with GenAI in wealth and asset management

    Wealth and asset managers have the opportunity to reimagine their business models and transform their operations with GenAI.

    Mike Lee + 2

    Financial services CIOs – building GenAI at scale while managing risk

    Financial services CIOs have a unique opportunity to lead the GenAI conversation and transform the enterprise.

    How entrepreneurs can think differently about AI

    To drive business value, entrepreneurs should think strategically about how and where to deploy artificial intelligence. Learn more.

    How to build a foundation in AI to accelerate health transformation

    Using AI to speed health care transformation and add value will require executives to strategize current work and architect for the future. Learn more.

    How GenAI transforms the B2B customer experience with first-party data

    Digital technology is providing more direct ways for businesses to engage customers and gain greater insight into their wants and needs. Learn more.

    Future Consumer Index: Fading allure of AI, experiences & store brands

    Consumer preference for AI, experiences and store brands is declining. Have they lost interest, or are retailers and brands not living up to expectations?

    5 modernizations transforming government for a lasting legacy

    Transforming government service through technology, data and analytics, infrastructure, grants and HR to keep humans at the center. Learn more.

    Finding value in the next evolution of media and entertainment

    M&E executives mix old and novel approaches to keep cash flowing today while charting new paths to a future of profitable growth in the market.

    How generative AI can optimize health care supply chains

    Technology lets organizations capture efficiencies and improve patient care. Find out more.

    Five “no regret” actions for TMT companies to unlock generative AI’s potential

    Learn how Technology, Media & Entertainment, and Telecom companies can create value with generative AI.

    Five priorities for harnessing the power of GenAI in banking

    For banks with the right strategy, talent and technology, GenAI can transform operations and help reimagine future business models. Learn more.

    Economic impact of AI: Article series for business leaders

    Read our article series on the economic impact of AI, which shares developments and actionable insights to arm companies’ decision-makers.

    Natural language processing turns search speed into light speed

    A managed care company saves hundreds of hours in compliance verification with a new, AI-enabled database. Learn more in this case study.

      The four-collar workforce: leading blended human + AI teams

      As AI agents join human teams, traditional white- and blue-collar distinctions are evolving into a four-collar framework: white, blue, green and gray.

      Evolving the workforce to keep pace with rapid AI advancements

      Discover how a combining awareness, training and hiring can help organizations evolve their workforce to fully leverage AI and create lasting value.

      The AI moment is now: how businesses can ready their workforce

      EY teams have learned a lot from advancing AI capabilities across the 150 countries in which the organization operates. Learn more.

      How generative AI might help tax functions tackle challenges

      GenAI can automate tasks, summarize information and provide insights, but it needs a person’s input to optimize the technology. Learn more.

      How artificial intelligence can augment a people-centered workforce

      AI is disrupting approaches to talent strategy, risk and resilience. Learn why it’s crucial to blend operational gains with a people-first mindset.

      How can a rebalance of power help re-energize your workforce?

      AI success needs tech and talent to turn adoption into transformational impact, the EY 2025 Work Reimagined survey shows. Learn more.

      How finance is important in the age of social media and AI

      In this episode of The Better Finance podcast, Myles Corson and Tom Hood discuss the evolving finance profession. Learn more.

      35m 19s

      EY survey reveals artificial intelligence is creating new hiring needs, while also making it more challenging to source the right talent  

      Ernst & Young LLP (EY US) today announced the release of its latest technology pulse poll, which examines the impact of artificial intelligence (AI) on the future of work — from integration to talent and culture. The poll, which was conducted in March 2024 and surveyed more than 250 leaders in the technology industry, highlights the ongoing push and pull around AI in the workplace.




        Old Hill Police Station, Singapore
        Young Chinese colleagues working together in a busy co-working space from above

        AI in recruitment: Lessons learned

        20 Feb 2024 | Featuring Dan Black
        Read more on HR World
        Man working at industrial robot in modern factory

        Robotics needs its ChatGPT moment

        19 Jan 2024 | Featuring EY Global
        Read more on Fast Company
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        Photo taken in Gulong Soy Sauce cultural park in Xiamen, which is a free park in Tong'an District
        How CIOs can foster a top-down approach to AI

        01 Nov 2023 | Featuring Dan Diasio

        Read more on CIO

        Man Walking Down Corridor

        AI can help you ask better questions — and solve bigger problems

        26 May 2023 | Featuring EY Global
        Read more on HBR (paywall)
        UK, Essex, Harlow, elevated view of a woman working from home in her garden using a laptop computer, Woman working from home in her garden

        How Generative AI could disrupt creative work

        13 Apr 2023 | Featuring EY Global
        Read more on HBR (paywall)
        Studio. Empty studio without people. Studio for podcasts or interviews. Stylish studio. Two comfortable chairs with cameras, lights and microphones. Generative AI

        Confident and responsible use of AI depends on sound public policy. EY engages with our global stakeholders to inform the development of AI policies that promote transparency, serve the public interest, foster trust in markets and build a better working world.

        How AI assessments can enhance confidence in AI

        Well-designed AI assessments can help evaluate whether investments in the technology meet business and society’s expectations. Read more.

        Why companies must prepare now for the new EU AI Act

        Following the enactment of the landmark EU AI Act, organizations that operate in the EU need to act now to ensure they comply or risk heavy fines. Learn more.

        How to navigate global trends in Artificial Intelligence regulation

        Learn why the AI regulatory approach of eight global jurisdictions have a vital role to play in the development of rules for the use of AI.


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