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    Home > Finance > Firms must invest in real people to gain from AI, EY's Teigland says
    Finance

    Firms must invest in real people to gain from AI, EY's Teigland says

    Published by Global Banking & Finance Review®

    Posted on January 22, 2026

    2 min read

    Last updated: January 22, 2026

    Firms must invest in real people to gain from AI, EY's Teigland says - Finance news and analysis from Global Banking & Finance Review
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    Tags:innovationtraining centerhuman capitalfinancial sectorEmployee engagement

    Quick Summary

    Julie Teigland of EY stresses the importance of investing in people and redesigning work processes to achieve AI productivity gains.

    Table of Contents

    • The Importance of Human Investment in AI
    • Shifting Job Roles with AI
    • Challenges in AI Implementation
    • Training for Productivity Gains

    Investing in People Essential for AI Success, Says EY's Teigland

    The Importance of Human Investment in AI

    By Divya Chowdhury and Maria Martinez

    Shifting Job Roles with AI

    DAVOS, Jan 22 (Reuters) - Companies will not get productivity gains from artificial intelligence unless they invest in real people and redesign how work is done, Julie Teigland, EY's global vice chair, told Reuters on Thursday.

    Challenges in AI Implementation

    "There is no ROI if you're not willing to change the job descriptions," Teigland said on the sidelines of the World Economic Forum, adding that companies need to adapt processes to capture AI's benefits.

    Training for Productivity Gains

    Teigland cited EY work indicating that intensive training can be linked to productivity improvements, saying that around 81 hours of training per employee could translate into roughly 14% weekly productivity gains, if paired with role redesign.

    She said AI's labour impact will be "multi-generational," changing entry-level positions and routine white-collar tasks, with employees needing to shift from "doing the task to supervising the task," becoming "above the loop."

    FROM HYPE TO SCALE

    Business leaders in Davos are striking a more practical tone on AI than a year ago, Teigland said.

    "I felt the conversations were definitely more real as AI moved from hype to scale," Teigland said.

    Companies are learning AI is not plug-and-play, and ROI requires organisational redesign and training, not just deploying tools.

    She said companies have broadly moved past an initial phase of deploying Copilot and familiarising staff with new tools, and are now grappling with how to move on from pilots and proofs of concept.

    Getting stuck running too many pilots can become a "death trap," Teigland said.

    (Join GMF on LSEG Messenger for live interviews: https://lseg.group/3KFHrhe)

    (Reporting by Divya Chowdhury and Maria Martinez; Editing by Andrew Heavens)

    Key Takeaways

    • •Investing in people is crucial for AI productivity.
    • •Redesigning job roles is necessary for AI success.
    • •81 hours of training can boost productivity by 14%.
    • •AI's impact on labor is multi-generational.
    • •Organizational redesign is key to AI ROI.

    Frequently Asked Questions about Firms must invest in real people to gain from AI, EY's Teigland says

    1What is artificial intelligence (AI)?

    Artificial intelligence (AI) refers to the simulation of human intelligence in machines that are programmed to think and learn like humans.

    2What is productivity?

    Productivity is the measure of how efficiently resources are used to produce goods or services, often expressed as the ratio of outputs to inputs.

    3What is employee training?

    Employee training is the process of enhancing the skills, knowledge, and competencies of employees to improve their performance and productivity.

    4What is organizational redesign?

    Organizational redesign involves changing the structure and processes of an organization to improve efficiency, effectiveness, and adaptability.

    5What is return on investment (ROI)?

    Return on investment (ROI) is a financial metric used to evaluate the profitability of an investment, calculated as the net profit divided by the initial investment cost.

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