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.

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  1. 10h ago

    Accountability Shifts to Deployers as EU Sets Timelines for AI and Security Incidents

    A structural shift in regulatory accountability now places incident notification and liability directly on the operators or deployers of AI-powered and software tools, rather than on technology vendors or model developers. This mechanism is made explicit by the requirements of the EU’s Cyber Resilience Act (CRA), Digital Services Act (DSA), and the upcoming Machinery Regulation. Incidents such as the Cursor AI coding agent breach at a Belgian chemical company underline that compliance timelines and regulatory scrutiny target the entity deploying the technology. CrowdStrike and Okta both reported that increased enterprise security spending is being driven by heightened AI-generated attacks, according to their quarterly results. Gartner forecasts AI security spending will reach $4.8 billion by 2027, up 68.7% from this year, with usage control as the most dynamic segment. A public letter signed by over 100 vendors—including OpenAI, Anthropic, AWS, and Microsoft—warns of urgent defensive needs but does not shift responsibility to software suppliers. Recent breaches and vulnerabilities illustrate how accountability remains with the service provider or end-user implementer. The Cursor breach assigned notification duties to AnySphere (the product vendor) and the breached organization, not to upstream model providers. Likewise, after N-able's Passportal bug, MSPs were accountable for client-facing remediation. In each case, the “accountability line” lands on the party deploying the tool. For MSPs and IT service providers, these trends require updating agreements, operations, and client communications. Service structures must prioritize regulatory response timelines, documentation, and clear reporting obligations. Providers serving EU clients, or those linked to global supply chains, will encounter business risk if they do not proactively address these regulatory demands before mandated deadlines. 00:00 Prevention Got A New Price  03:25 The Half That Doesn't Move 05:50 Where The Call Lands 09:27 Why Do We Care?   Supported by: Proofpoint  GoTo(LogMeIn)  💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    Accountability Shifts to Deployers as EU Sets Timelines for AI and Security Incidents
  2. 1d ago

    Greg Jones: How Vendor Policy Shifts and AI Automation Are Changing MSP Growth Strategy

    The episode highlights a structural shift in the MSP sector characterized by consolidation at the top and fragmentation at the low end, driven by a rise in niche MSPs entering the market and ongoing acquisitions by larger providers. This shift is outlined in discussion of industry data sourced from the Kaseya State of the MSP report, as well as Greg Jones’ observations regarding both market entry trends and the increased prevalence of hyperscale consolidation activity. According to the Kaseya report, there has been a reduction in the proportion of clients spending $25,000 a year or more with MSPs—from three quarters of the market to four in ten within a year—indicating a trend towards smaller client engagements. In parallel, 48% of surveyed MSPs identified AI as their clients' top need, but only 13% reported being able to charge for AI, pointing to a significant value capture gap. These figures were referenced during a discussion on monetization challenges and the changing expectations around AI service delivery. Further supporting this structural change, the episode details Kaseya’s shift towards more transparent contract terms and new commercial offerings such as FLEXSpend and catastrophic loss prevention. These policy changes are described by company leadership as attempts to address longstanding provider grievances and increase flexibility, but the discussion also reinforces the persistence of operational risks related to contract renewals and alignment between vendor strategy and MSP needs. For operators, the implications center on growing exposure to contract risk, complexity in billing and service models, and the challenge of capturing new sources of value such as AI services. The evolving mix of small and consolidated players in the MSP landscape puts further pressure on vendor selection, contract diligence, and process accountability, especially where new technologies are marketed ahead of proven monetization strategies. Supported by:ProofpointGoTo (LogMeIn)   💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    Greg Jones: How Vendor Policy Shifts and AI Automation Are Changing MSP Growth Strategy
  3. 2d ago

    Adoption, Not Hardware: Voya Financial Shows AI Value Comes From Training, Not Tools

    A disconnect between technical capability and end-user adoption is driving current decision-making in AI and infrastructure among managed service providers and IT leaders. While companies like Broadcom, Perplexity, Apple, and NVIDIA are introducing hardware and platforms for on-premises and local AI processing, the primary lever for value remains organizational adoption rather than available technology. Costs and infrastructure investments are being shaped by how—and whether—users engage with these tools. The most significant evidence is from Voya Financial, where a five-hour AI training for 11,000 employees led to 98% adoption and frequent use, despite no change in underlying technology. Industry data cited shows that while generative AI now reaches 80% of occupations, only 2.8% of tasks have more than 50% usage, and none reach 70%. This indicates broad awareness but little real transfer of work to AI, making current spending primarily reflective of shallow adoption rather than deep operational change. Additional developments include a clear industry shift toward privately owned AI infrastructure, as shown by recent product launches and by NVIDIA’s ongoing focus on cloud-rented compute. Gartner projects that consumption-based and inference-specific storage will expand rapidly by 2029, but these estimates are based on limited current adoption, underlining a mismatch between infrastructure readiness and immediate need. For MSPs and IT providers, the risk is overcommitting to AI infrastructure before clients are ready. Real opportunity lies in structured adoption programs for existing AI tools—identifying staff with teaching skills, piloting training internally, and focusing on increasing client usage. Deferring on-premises AI infrastructure projects until client adoption and economic signals align is positioned as a safer, more pragmatic approach. 00:00 Three Companies, One Idea  04:20 Nobody Turned It On 07:53 The Window Opens In 2029 10:46 Why Do We Care?  Supported by:  Proofpoint GoTo(LogMeIn)  💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    Adoption, Not Hardware: Voya Financial Shows AI Value Comes From Training, Not Tools
  4. 3d ago

    AI Results in Service Agreements: Why Providers Hold Uncovered Liability

    A structural transfer of liability and risk is reshaping industry engagement models, with outcome-based contracting increasing across service agreements. This shift is being driven by buyer demands for accountability in technology solutions, notably in artificial intelligence deployments, and is illustrated by recent unpublished but credible reports that OpenAI is quietly allowing select large enterprise customers to pay only when AI tasks are successfully completed. Supporting research from Gartner and CIO Dive highlights a growing disparity: while 19% of service buyers seek outcome-based payment models, only 13% of agreements from sellers currently accommodate them. The core development spotlighted is the disconnect between expectations for measurable AI-driven business outcomes and the lack of empirical evidence that such technologies are delivering on those promises at the organizational level. A large-scale survey by the National Bureau of Economic Research, encompassing nearly 6,000 senior executives across four countries, found that over 89% reported no observable improvement in employment or labor productivity from AI investments during the past three years, despite substantial organizational changes and budget reallocations. Additionally, research by Thomson Reuters found that 91% of 1,800 professionals reported their organizations were not realizing expected AI value, identifying a gap in demonstrable returns even while the technology is being deployed. Supporting data from Techaisle reveals partner capability thins dramatically as customers progress into advanced AI adoption stages. Most channel providers retain capacity only for basic "estate" work, with capability dropping to near zero for the most advanced client needs. Forrester has also identified persistent barriers to reliable measurement, such as fragmented and inconsistent data baselines, as well as dependencies on customer-side decisions. These factors magnify contract risk and reinforce the liability shift toward providers, who become responsible for defining, measuring, and underwriting outcomes without always possessing necessary levers or data. The operational implication for MSPs and IT service providers is heightened exposure to contractual and financial risk when agreeing to outcome-based terms, especially without mechanisms to price or control every relevant input. Providers are often unable to flow contract risk upstream to vendors or technology manufacturers, as their own agreements typically exclude outcomes. The episode concludes that early engagement and proactive definition of acceptable, controllable outcomes is essential, as outcome-based demands are likely to appear pre-baked in future client agreements, shifting bargaining power away from providers unprepared to quantify their exposure. Using data from their own worst-performing months, documenting client dependencies as contract conditions, and piloting outcome-based lines in otherwise standard agreements are outlined as practical tactics to mitigate downside risk before broader market adoption. 00:00 Four Numbers, One Cause  03:45 What You Ask For When You Can't Tell 06:45 Nobody Underneath You 10:20 Why Do We Care?  Supported by:  Guardz ScalePad  💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    AI Results in Service Agreements: Why Providers Hold Uncovered Liability
  5. 4d ago

    When AI Outpaces Humans: Jason Kemsley on What Happens to MSP Roles as Automation Advances

    The episode reveals a structural shift away from indiscriminate adoption of AI tools toward targeted deployment based on business needs within the MSP sector. According to Uptime Global, a channel-only outsourcing provider, premature or hype-driven implementation of AI frequently results in incomplete projects and missed operational gains. The review of AI execution within MSP ticketing environments shows that sustainable value emerges when organizations align AI initiatives with clearly identified business issues, rather than searching for use cases to justify a technology already acquired. Concrete evidence from Uptime Global’s experience indicates that approximately 25% of their MSP partners have deployed notable AI solutions beyond ticket triage functions in the past 18 months, according to Jason Kemsley, Chief Revenue Officer. Outcomes vary: roughly half saw ticket volume reductions of 10–25%, while the remainder experienced limited value or customer dissatisfaction tied to inadequate human involvement in support processes. Uptime’s operational model uses a confidence threshold for AI-driven actions, where only outputs above 98% confidence automatically execute—mirroring human engineer accuracy rates—and anything below triggers human review. Supporting developments further highlight the shift’s operational impact. Uptime Global has eliminated dedicated triage and dispatch roles due to increased AI efficiency, resulting in a role blend where “first responders” now handle both traditional triage and basic technical support tasks within set time limits . The company’s pricing structure is affected by AI efficiency, creating margin pressure as contract models based on per-ticket or per-device pricing are exposed to declining ticket volume and shifting customer expectations around service value and outcomes. For MSPs and IT service providers, the operational implications center on increased pricing pressure, the erosion of certain labor-based roles, and the requirement to redesign governance and accountability models to accommodate both automated and human ticket outcomes. Vendor dependency grows as MSPs rely on AI-driven platforms to triage, allocate, and resolve tickets, increasing exposure to platform-specific risks and necessitating clear thresholds for AI confidence and human intervention. Contract structures that do not account for dynamic efficiency gains may create pricing misalignment and customer dissatisfaction over time, emphasizing the need for providers to actively manage and transparently communicate both the tradeoffs and limits of AI-enabled support. Supported by:ProofpointScalePad 💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    When AI Outpaces Humans: Jason Kemsley on What Happens to MSP Roles as Automation Advances
  6. 6d ago

    Hollie Whittles on Why Incomplete AI Governance Leaves MSPs Vulnerable to Data Liability

    A growing gap between artificial intelligence (AI) adoption and effective data governance is reshaping the operational landscape for managed service providers (MSPs) and IT service providers. Industry data cited by GTIA’s Data and AI Interest Group indicates that while 97% of providers have adopted AI, only 20% have implemented governance frameworks sufficient to extract value or mitigate risk. This structural mismatch is driving increased scrutiny from regulatory authorities and forcing MSPs to revisit internal decision-making, especially regarding data integrity and platform selection. Supporting this trend, a Federation of Small Businesses report found 86% of organizations in the UK are struggling with AI and data governance adoption, often uncertain about where to begin. Hollie Whittles, co-founder of Purple Frog Data, described practical barriers: many businesses believe their data is clean and structured but are routinely confronted with evidence of significant inconsistencies and errors during implementation. The cost of remediation and governance, including board-level buy-in, can climb to tens of thousands of pounds, highlighting the substantial upfront investment required before AI can deliver reliable business value. Operational vulnerability is further magnified by ease-of-use pitfalls and vendor relationships. MSPs lacking in-house data engineering or readiness tools frequently misjudge the scale and complexity of cleaning and securing client data estates. Whittles warned of scenarios where consultants, through careless or uninformed data modelling (such as over-exposing HR data in reporting tools), inadvertently increase both cyber and confidentiality risks. Some firms approach the problem by retaining all data and tooling within clients’ own cloud tenants, shifting data residency and associated risks directly to clients, but raising new questions of contractual clarity and due diligence. For MSPs and IT leaders, these developments reinforce the need for explicit governance structures, clear contractual provisions regarding data handling, and internal upskilling rather than relying solely on third-party expertise. Short-term revenue can be lost to competitors willing to bypass governance, but there’s an increased long-term risk of error, replacement, or regulatory sanction. Effective governance not only requires financial investment, but also consistent participation from leadership to avoid operational blind spots and to ensure client obligations—and liabilities—are clearly defined and managed. Supported by:  ProofpointGoTo (LogMeIn) 💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    Hollie Whittles on Why Incomplete AI Governance Leaves MSPs Vulnerable to Data Liability
  7. Aug 28

    “Pricing Not Disclosed” Becomes a Risk as AI Screens MSPs Out of Deals

    The episode centers on a structural shift driven by the falling cost of AI-assisted insight extraction and its impact on how buyers assess technology providers. Referencing companies such as OpenAI and Google, as well as research from the AI Revenue Institute and Gartner, Dave Sobel highlights how lowered model prices enable automated systems to rapidly analyze vendor documentation and shape procurement decisions, fundamentally changing the basis of competition from persuasion to transparent, retrievable data. A recent AI Revenue Institute study, as cited by Dave Sobel, found that over half of surveyed decision-makers had removed a vendor from consideration after an AI assistant highlighted a documented shortcoming. Simultaneously, OpenAI and Google have reduced their top-tier AI model pricing, with OpenAI dropping costs by more than 20% and Google offering a temporary 50% cut before reverting. Analysis from TD Cowen and Business Insider shows that such price cuts have driven up both usage and revenue, with OpenAI’s low-cost models experiencing a 14-fold usage increase post-reduction. These developments are reinforced by Gartner’s identification of the “inference paradox,” where greater AI capabilities and lower per-query costs actually raise overall spend due to increased volume and complexity of tasks. Supporting data includes Google’s reported 50x annual increase in tokens processed and a Deloitte case of a healthcare provider with unplanned AI costs rising as much as 3x in a year. Alongside this, Pew Research identifies that a third of new web content on commercial sites is machine-generated, leading platforms like LinkedIn to introduce AI-detection and downranking measures. For MSPs and IT leaders, the implications are direct. Automated buyer research now prioritizes concrete, extractable data over marketing language; any absence or non-disclosure—especially around pricing—can result in removal from consideration without notice. Publishing specific, measurable facts (service boundaries, pricing logic, response times with dates) increasingly determines whether a provider is surfaced or omitted by AI agents assembling comparative analyses. Failure to clearly define offerings and exclusions results in unfavorable inferences or comparisons, increasing operational risk and transfer of accountability away from the provider.   00:00 The Buyers Brought a Machine  03:45 Cheaper Made It Bigger 06:49 Your Website Is a Deposition 10:06 Why Do We Care?  Supported by:  Proofpoint HaloPSA    💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    “Pricing Not Disclosed” Becomes a Risk as AI Screens MSPs Out of Deals
  8. Aug 27

    Per-User Pricing Under Strain: Rich Freeman Explains the AI Impact for MSP Operators

    The central structural shift discussed is the repricing and erosion of the MSP business model as artificial intelligence (AI) and automation impact service delivery, pricing models, and margin structures. Analysis referenced recent polling and reporting, including the Omnia poll of 22,000 MSP partners and Service Leadership’s financial benchmarking. The integration of AI is reducing direct labor requirements and shifting traditional cost structures—posing both short-term increases in service margins for top-tier MSPs and complex, longer-term risks to the per-user pricing paradigm. Vendors, such as ConnectWise and RapidScale, are central to these developments, as their platforms, pricing models, and reporting mechanisms increasingly determine downstream MSP economics. Supporting evidence from Service Leadership’s recent profitability report shows top quartile MSPs achieved a service multiple of wages (SMW) of 3.01—a level reached previously only during periods of wage collapse. The report also highlights that this margin growth is isolated: while the best-in-class are realizing sharply higher service margins, the median and bottom quartile remain flat. Reporting and analysis attributed this phenomenon to the earliest and most effective adopters of automation, particularly service desk automation aligned with AI, according to theories discussed with Service Leadership and ConnectWise representatives. However, there is a notable lack of definitive causation, as Service Leadership states the link between AI adoption and observed margin increases remains a working theory pending further data. Additional developments reinforce the risk environment. Nearly 43% of surveyed MSPs are actively considering alternatives to per-user pricing, with another 17% acknowledging a need to change their pricing but lacking a defined direction. Industry analysis notes that consumption-based models—such as token-based or outcome-based pricing—present challenges, including unpredictable vendor cost structures and difficulties in measuring actual results achieved. Meanwhile, the risk of vendor-driven reenactment of break-fix economics and cost volatility increases, with some vendors already raising prices significantly to offset their own AI-related costs, pointing toward future margin compression downstream. For MSPs and IT service providers, the operational implications are immediate and material. Providers face growing exposure to pricing and margin risk, especially as clients begin to recognize and challenge efficiency gains achieved by automation. Structurally, there is rising accountability for justifying service costs and delivering new forms of value outside commoditized support. Continued reliance on legacy pricing models without adaptation to AI-driven changes increases the risk of eroded margins or adverse contract negotiations. The most resilient operators will need to stabilize internal cost structures, reconsider client contracts, monitor vendor behavior closely, and prepare for increased customer scrutiny on both cost and deliverables. Supported by: GuardzScalePad 💼 All Our SponsorsMSP Radio is supported by our partners: ABC Solutions · CometBackup · Guardz · HaloPSA · LogMeIn · OpenText · Pax8 · Proofpoint · Rythmz · ScalePad · TimeZest · Transit AI · USecure Supporting the IT services community through insights, analysis, and transparency. 🚀 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/28908079 YouTube: https://youtube.com/mspradio Bluesky: https://bsky.app/profile/businessof.tech Instagram: https://www.instagram.com/mspradio TikTok: https://www.tiktok.com/@businessoftech Facebook: 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.

    Per-User Pricing Under Strain: Rich Freeman Explains the AI Impact for MSP Operators
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About

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.

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