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Podcast

AI Economics™ Experts React to What Enterprise Tech Isn’t Saying Out Loud

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Overview

Challenges

Enterprise tech leaders are facing collapsing SaaS pricing models, rising AI delivery costs, and organizational structures that no longer support value creation. The challenge is figuring out how to profitably price AI, redesign sales and customer success, and reinvest productivity gains before faster, AI-native competitors take their market.

Summary

The podcast delves into the evolving landscape of AI economics, highlighting the significant impact of AI on traditional business models within the B2B tech industry. It emphasizes that companies must adapt to stay competitive, focusing on new pricing strategies and organizational structures to extract value from AI while addressing emerging challenges like workforce reductions and the need for consultative approaches to customer success.

Key takeaways

Shift in Business Models:

Traditional per-user pricing is becoming a liability; companies need to rethink how they create and capture value in the AI era.

Redefining Workforce Needs:

AI is leading to job reductions in support roles, but new roles in sales and consulting will emerge, necessitating a focus on value creation.

Evolving Pricing Models:

Outcome-based pricing is essential for profitability; firms should shift from cost-plus to value-based pricing strategies to align with AI capabilities.

Organizational Restructuring:

Tech companies must break down traditional silos and unify sales and customer success functions to better understand and deliver customer value.

Integration of Services and Technology:

Successful models blend service-led approaches with technology to provide holistic solutions that prioritize customer outcomes over product offering.

Publication date:
January 9, 2026

Podcast speakers

Thomas Lah

Executive Director and Executive VP, TSIA

J.B. Wood

President & CEO, TSIA

George Humphrey

Senior Vice President of Research, TSIA

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