Podcast

Moving Beyond AI Experiments to Real Business Value

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March 21, 2025

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Overview

Challenges

Organizations struggle to turn AI experimentation into real business value due to unclear ownership, internal politics, and fear-driven governance that slows adoption. At the same time, many companies are chasing generative AI hype instead of focusing on high-impact operational problems where AI can deliver measurable ROI.

Summary

The podcast explores the transformative potential of AI in business, focusing on its practical applications and the cultural shifts needed for successful deployment. The conversation highlights the importance of aligning technology adoption with business goals, addressing change management, and navigating organizational politics, especially within government sectors where innovation can be slow due to concerns over governance.

Key takeaways

Emphasizing Practical ROI:

The need for tangible returns on AI investments, suggesting that AI should solve specific, traditionally neglected problems, such as document management and quality control.

Cultural Resistance to Automation:

A recurring theme is the fear of job displacement among employees, reminiscent of past technological disruptions, which hinders companies from fully embracing automation.

Need for Change Management:

Successful AI implementation is contingent upon effective change management strategies, ensuring staff are trained and can adapt to new technologies from day one.

Navigating Organizational Politics:

Internal resistance and politics greatly influence AI project success, particularly when ownership of initiatives does not involve business users.

Hype vs. Substance in AI Solutions:

The podcast warns against overinvestment in generic AI solutions that fail to address real business needs, advocating for focused, vertical-specific applications instead.

Publication date:
March 6, 2026

Podcast speakers

Thomas Lah

Executive Director and EVP, TSIA

Sofi Elfving Hallberg

CEO & Co-founder, Substorm

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