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Business of Tech: Daily 10-Minute IT Services Insights

Business of Tech: Daily 10-Minute IT Services Insights

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In 10 minutes daily, The Business of Tech delivers the latest IT services and MSP-focused news and commentary. Curated to stories that matter with commentary answering 'Why Do We Care?', channel veteran Dave Sobel brings you up to speed and provides resources to go deeper. With insights and analysis, this focused podcast focuses on the knowledge you need to be effective, profitable, and relevant.Copyright 2019-2026 MSP Radio Economía Política y Gobierno
Episodios
  • AI Deployment Exposes Workflow Gaps—MSPs Face Increased Liability and Coordination Demands

    AI Deployment Exposes Workflow Gaps—MSPs Face Increased Liability and Coordination Demands
    Apr 7 2026
    Automation and AI are shifting the pricing and accountability models for managed service providers, with risk increasingly centered on governance, workflow coherence, and outcome measurement rather than tool deployment. Evidence from studies like Fixify, reports from ChannelLive, and real-world cases such as the City of Seattle’s pause on Microsoft Copilot rollout highlight that technology adoption is now gated less by access to solutions and more by readiness to govern, coordinate, and prove outcomes across fragmented processes. Automation exposes underlying coordination debt, moving the client focus from paying for labor time to demanding measurable outcomes and managed exceptions. Fixify’s analysis of more than 50,000 support tickets from 30+ organizations showed tickets with at least 75% automation saw average resolution in 4.4 hours versus roughly three days for non-automated tickets. Data cited from OpenAI found that 93% of London SMBs use AI tools, but readiness and uptake are highly uneven within the UK. In Seattle, more than 450 labor hours per week were reported saved during the Copilot pilot, yet adoption was paused due to concerns over data governance and accountability for errors, not tool capability. According to coverage in GeekWire and IT Pro, these dynamics are shifting buyer expectations and vendor liabilities. Supporting developments include security concerns outlined by Kaseya’s INKY report, which highlights the normalization of AI-generated phishing and changes in attack formats, forcing defenders to rethink detection and response. The operational surface of automation—where AI reshapes data, not just moves it—means standard controls and classic alerts are increasingly bypassed. Reports from Information Week and experts such as Dan Lorman emphasize that accountability for exceptions, shadow AI usage, and data exposure is shifting by default onto providers, whether or not contracts address these risks. These trends mean MSPs face direct operational and contract exposure: clients and auditors are demanding proof of how AI touches data, how exceptions are handled, and where logs and controls exist. Pricing based on seats or tickets is becoming harder to defend as automation compresses labor and raises expectations for accountability. Providers must reconsider SLAs, explicitly define automation boundaries, charge for governance activities, and move toward outcome-based pricing models if they want to avoid absorbing unpriced liability and operational complexity. 00:00 Automation Divide 04:27 Coordination Debt 06:01 Automation Liability 09:18 Why Do We Care? Supported by: JumpCloud HaloPSA 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    13 m
  • Richard Luna: MSPs Risk Margin Erosion by Relying on Rented Stacks and App Reselling

    Richard Luna: MSPs Risk Margin Erosion by Relying on Rented Stacks and App Reselling
    Apr 6 2026

    The episode exposes a structural shift in the MSP sector toward increased commoditization and infrastructure dependence, with an industry trend favoring outsourced, app-focused service delivery over internal technical depth. Protected Harbor, led by Richard Luna, is presented as a counterpoint—running its own infrastructure and software, and prioritizing ownership of the technical stack rather than relying extensively on third-party platforms. Luna argues this industry-wide movement has created a market where low entry barriers and rented, commoditized solutions undermine differentiation and inflate operational risk.

    Central to the discussion is the declining emphasis on technical generalists within MSP organizations, replaced by hyper-specialization and a proliferation of app resale as a service model. Luna attributes industry-wide declines in service quality and net promoter scores (typically ranging from 30–38 for MSPs) to these trends, suggesting the loss of generalist skills erodes problem-solving capacity and increases reliance on external vendors for core functions. He states that running owned infrastructure and open-source tools allows for tighter cost controls, standardization, and faster response to operational events—a contrast to MSP models that outsource most functions.

    Supporting developments include a detailed critique of the risk dynamics associated with using hyperscale vendors for client-facing services. Luna distinguishes between utility-grade services like power, which can be outsourced without significantly affecting the customer relationship, and services closer to the client experience (e.g., remote access, help desk, data workflows) that, if outsourced, reduce both control and differentiation. Additional risk surfaces are highlighted with the integration of AI and automation, especially when MSPs use large public models that may ingest sensitive client data and create potential information leakage or competitive exposure.

    The operational implications for MSPs and IT leaders include heightened vendor dependency, expanding contract risk, and declining service quality when organizations prioritize app resale and specialization over in-house competency and direct infrastructure management. To mitigate these risks, the episode suggests MSPs should reassess which functions to control internally versus outsource, invest in developing technical generalists, and scrutinize the downstream effects of workflow automation and AI adoption—especially regarding client data privacy, model training, and real-time operational accountability.

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    27 m
  • AI Moves MSPs From Tool Support to Operational Liability as Hybrid Platforms Expand

    AI Moves MSPs From Tool Support to Operational Liability as Hybrid Platforms Expand
    Apr 3 2026
    The episode highlights the increased operational complexity and governance burden resulting from the fragmented adoption of AI and hybrid, multi-platform environments in IT service delivery. Companies such as Proton (with Proton Workspace) and governance platforms like KiloClaw represent the expanding landscape of tools requiring oversight, while core productivity platforms continue to diversify. Research from Westcon-Comstor, Forrester, and Gartner, as reported by Dave Sobel, demonstrates that AI is not a turnkey solution but introduces a new operational surface area that must be actively managed. Channel Dive’s Westcon-Comstor survey of 500 MSP and cloud decision-makers found that almost a quarter see cloud migration and management as their main revenue opportunity, but over 30% identify cross-platform data management as the top challenge. Security and governance pressures follow closely. Forrester data shows only a marginal increase in prompt engineering proficiency, while most employees report that AI increases workloads rather than reducing them, indicating persistent process fragmentation and unclear roles. VentureBeat cited Intuit's observation that successful AI adoption is characterized not by autonomy, but by controlled execution where humans maintain accountability for judgment and exception handling. Supporting this, products like Proton Workspace are fragmenting the core productivity stack, and the emergence of “shadow AI” (where personal AI agents operate outside formal governance) is driving organizations to deploy governance tools such as KiloClaw. According to research cited from Front, 93% of companies are using AI in customer operations, yet 71% report significant AI-related issues in the past three months, indicating that poorly governed automation increases handoffs, exceptions, and escalations which often default to MSPs to resolve. For MSPs and IT service providers, these trends translate into an expanded responsibility for governing the automation and AI layers within client environments. When MSP contracts and service definitions fail to specify the scope of coordination, exception handling, and governance for AI and automation tools, the provider risks absorbing significant unmetered labor and liability. The episode emphasizes that governance tooling should be viewed as temporary infrastructure and not a core component of an MSP practice. Providers should audit client environments for AI exposure, review contract terms, and prepare to offer explicit, separately priced control layers as customer demand for governance outcomes increases. 00:00 Stack Fragmentation 02:56 Human-Bounded AI 04:25 Coordination Tax 07:18 Why Do We Care? Supported by: CometBackup HaloPSA 💼 All Our SponsorsSupport the vendors who support the show:👉 https://businessof.tech/sponsors/ 🚀 Join Business of Tech PlusGet exclusive access to investigative reports, vendor analysis, leadership briefings, and more.👉 https://businessof.tech/plus 🎧 Subscribe to the Business of TechWant the show on your favorite podcast app or prefer the written versions of each story?📲 https://www.businessof.tech/subscribe 📰 Story Links & SourcesLooking for the links from today’s stories?Every episode script — with full source links — is posted at:🌐 https://www.businessof.tech 🎙 Want to Be a Guest?Pitch your story or appear on Business of Tech: Daily 10-Minute IT Services Insights:💬 https://www.podmatch.com/hostdetailpreview/businessoftech 🔗 Follow Business of Tech LinkedIn: https://www.linkedin.com/company/28908079YouTube: https://youtube.com/mspradioBluesky: https://bsky.app/profile/businessof.techInstagram: https://www.instagram.com/mspradioTikTok: https://www.tiktok.com/@businessoftechFacebook: https://www.facebook.com/mspradionews Hosted by Simplecast, an AdsWizz company. See pcm.adswizz.com for information about our collection and use of personal data for advertising.
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    11 m
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