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AI Economics: TSIA’s Perspective on Profitable AI Business Models

This executive session turns TSIA’s AI Economics into a practical system for profitable growth. It maps the landscape—incumbents vs. AI natives—and equips leaders to choose business models that capture value instead of chasing “fantasy tracks” that assume effortless simplicity or services engineered away.

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December 3, 2025

11:00 AM

Pacific Time

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December 3, 2025

11:00 AM

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December 3, 2025
|
11:00 AM
Pacific Time

Overview

Challenges

Most teams are stuck with legacy pricing, unproven AI pilots, and siloed service motions that don’t translate to outcomes. The hurdle is aligning pricing to value and running an operating flywheel that proves ROI quarter after quarter.

Summary

A fast, executive-level walkthrough of TSIA’s AI Economics. See where incumbents win, how to turn services into an outcome engine, and how to price, package, and operate AI for real, repeatable profit,

Key takeaways

The race to profitability

Why AI disruption isn’t going away, how the stack is shifting value, and why services make AI business models profitable.

Pricing the AI era

A pragmatic pricing ladder—from cost-based consumption to value and outcome-based pricing—and how to climb it.

Service Portfolio 2.0

Three new AI service categories: Readiness & Governance, Value Optimization, Outcome-Oriented AI—and how they become a value engine.

Webinar speakers

J.B. Wood

President & CEO, TSIA

Thomas Lah

Executive Director and Executive VP, TSIA

George Humphrey

Senior Vice President of TSIA's Research Organization, TSIA

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