Ingram Micro Unplugged: Practical tales from the AI infrastructure front lines

· Source: Constellation Research · Field: Business & Management — Corporate Strategy & Leadership, Operations & Process Management, Sales & Commercial Development · Depth: Intermediate, medium

Summary

Ingram Micro's Trust X Alliance (TXA) Unplugged event, held on July 23, 2026, gathered VARs, MSPs, and IT business advisors to discuss AI adoption and infrastructure. Victor Baez emphasized preserving partner-customer relationships and using AI to boost sales productivity and operational efficiency, noting the strategic balance between cloud and on-premises hybrid deployments. Bill Brandel highlighted continuous transformation as a new job requirement, stressing the need to move from "AI Dreams" to execution. Cheryl Rang addressed demand shocks and supply constraints impacting partners due to AI's resource demands. The event underscored the power of community for collective buying power and resilience, with practical advice on applying AI to sales, focusing on business outcomes over features, and treating AI as a trainable "intern" rather than a CEO.

Key takeaway

For IT business advisors and MSPs navigating AI integration, prioritize moving beyond conceptual "AI Dreams" to concrete execution. Focus on applying AI to your customers' most significant pain points, such as sales productivity or operational efficiency, to demonstrate clear business outcomes like increased revenue per employee. Treat AI as a powerful intern requiring training and guardrails, ensuring your experience and judgment remain central. This approach helps manage costs across hybrid deployments and builds resilience through community collaboration.

Key insights

AI adoption for SMBs and partners prioritizes sales productivity and operational efficiency through hybrid deployments and community support.

Principles

Method

Apply AI to the biggest pain points first, such as sales, marketing, or lead management, then expand, avoiding numerous small experiments.

In practice

Topics

Best for: CTO, VP of Engineering/Data, Entrepreneur, Consultant, Director of AI/ML, Executive

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Editorial summary, takeaway, and curation by AIssential. Original article published by Constellation Research.