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The Business of Tech Podcast
My Daily Podcast, The Business of Tech. 5 minutes of news and comments, asking “Why Do We Care?” for IT services companies
Vendors are rewriting the rules on MSPs faster than anyone can track — pricing, partner programs, liability, and now AI. Business of Tech is the daily MSP news briefing that tells you what changed and what it means for your business.
Every weekday, channel veteran Dave Sobel picks the MSP and IT services news that actually moves your margins, contracts, and risk, and answers the one question that matters: Why do we care? No vendor cheerleading and no press-release rewrites — independent analysis for managed service providers, IT services leaders, and the vendors who sell to them.
Short daily episodes keep you current in about 15 minutes. Longer interviews go deep with MSP owners, investors, analysts, and channel executives on where the managed services market is heading.
What this MSP podcast covers:
• AI for MSPs — AI pricing and consumption billing, AI liability and governance, and AI agents in the service desk
• MSP pricing and profitability — per-user vs. usage-based pricing, margins, service agreements, and vendor rebates
• MSP M&A and private equity — acquisitions, roll-ups, valuations, and what consolidation means for independent MSPs
• MSP vendors and partner programs — Microsoft, Kaseya, ConnectWise, N-able, Pax8, and how channel programs shift risk onto providers
• MSP cybersecurity and liability — cyber insurance, compliance, regulation, and the security-stack decisions that expose a managed service provider
• MSP operations — automation, PSA and RMM, hiring, and the operational maturity that separates growing MSPs from stalled ones
Questions we answer:
• How should an MSP price AI services when vendors move to consumption billing?
• Who carries the liability when AI acts inside a client environment?
• What does private equity consolidation mean for MSP valuations?
• Which vendor partner program changes quietly cut MSP margins?
• What do insurers and regulators now expect from managed service providers?
Business of Tech is produced by MSP Radio, the independent media company for the managed services and IT channel community. Hosted by Dave Sobel, MSP industry analyst and longtime channel veteran. Written versions of every episode, with full source links, at businessof.tech.
The episode centers on a structural shift in technology risk management: liability for AI decisions is increasingly transferring downstream from technology vendors to MSPs and their clients. Insurers are moving to exclude generative AI from standard liability policies, while California regulators have mandated new automated decision-making rules with specific risk assessment and audit requirements for certain businesses operating above defined thresholds. Product licensing from major AI manufacturers such as OpenAI and Anthropic continues to disclaim liability, relying instead on “as is” terms that put post-deployment legal exposure on service providers and end users.
The most consequential development discussed is the combination of insurance market adaptation and new regulatory mandates. Insurers are segmenting their approach: some explicitly exclude AI coverage via policy riders, others remain silent (neither excluding nor affirming coverage), and a minority price for AI-related risks. According to Bernhard Kirchner, silent coverage offers limited protection and will not shield MSPs from liability unless operators can demonstrate robust risk assessment and control activities. Simultaneously, under California regulations effective January 1, MSPs supporting clients above $26.25 million in California sales or with over 100,000 California clients are obligated to generate and retain evidence-based AI risk assessments, updating these every three years or upon substantive change.
Several supporting developments reinforce this liability transfer and governance gap. ISO has released optional generative AI exclusions for general liability, and specific carriers, such as Berkley, have implemented absolute exclusions across multiple product lines. Kirchner notes that the lack of clarity in many insurance contracts creates further exposure, as legal precedents—including the Air Canada chatbot case—suggest that courts treat AI as an agent of the business deploying it, not a standalone legal entity. Evidence and documentation requirements, including technical evaluations and governance records, are beginning to emerge as practical minimums for qualifying for any future AI coverage.
The implications for MSPs and IT service providers are a marked increase in contractual, regulatory, and operational responsibility related to managing AI risk. MSPs working with affected clients must closely audit their customer footprint, update risk documentation, and explicitly clarify risk allocation in contracts and master service agreements. Lacking proactive compliance or documented controls, both MSPs and clients risk significant uninsured exposure, with limited recourse to recover from AI failures. Operational safeguards—such as periodic self-assessment, updated evidence retention, and clear assignment of liability—are emerging as necessary components for both competitive differentiation and risk management.
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About Business of Tech: The daily MSP news and analysis podcast for managed service providers and IT services leaders. Host Dave Sobel covers AI for MSPs, MSP pricing and profitability, MSP M&A and private equity, vendor partner programs, MSP cybersecurity and liability, and MSP operations — and answers the question every story raises: Why do we care? Produced by MSP Radio.
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