• MSP Risk: Continuing to Sell Predictable Execution as AI Removes Price Floor
    2026/06/30
    The dominant structural shift underlined in this episode is the removal of the pricing floor for undifferentiated, repeatable IT work due to agentic AI adoption, especially in IT services and MSP operations. As described by Dave Sobel, this shift is not about wholesale job elimination but about AI absorbing routine, predictable execution, leaving human operators responsible for judgment and oversight. This change is illustrated by organizations such as OpenAI, where 97.9% of employees use AI agents, and by sector-wide hiring data tracked by SignalFire, revealing that software engineers—previously considered vulnerable—remain the largest share of new hires. The most consequential development is the clear division between executional work and judgment-based roles. Data from SignalFire shows that software engineers make up 55% of new tech hires, contrary to predictions of their displacement by AI. Similarly, ISC2's Cybersecurity Workforce Survey, reported by Dark Reading, finds entry-level cybersecurity roles are evolving rather than disappearing, with AI taking over routine triage and increasing demand for higher-level judgment skills. OpenAI's near-universal internal AI adoption supports the notion that employees are adapting their roles rather than being replaced outright. Further supporting developments include evidence from SplashTop, which measured that 53% of IT team capacity is spent on endpoint maintenance and repetitive tasks, areas highly susceptible to automation. The effect is heightened by macro trends—cited from Axios Macro and the NFIB—showing small businesses are actively reducing hiring plans and seeking solutions that remove the need for headcount growth. New MSP offerings, such as managed support teams available within 30 days, are scrutinized for repackaging traditional labor models vulnerable to rapid automation. For MSPs and IT service providers, the operational implication is the urgent need to reevaluate service lines, staffing, and pricing models. Services based on predictable, repeatable execution now face competition from AI-driven agentic work that operates with negligible marginal cost, eroding the business case for labor arbitrage and body-shopping models. The path to defensibility shifts toward services that require human judgment, oversight, and outcome-based delivery, with increased risk for firms reliant on commoditized execution. Sorting offerings by their exposure to automation and focusing investment in non-automatable, judgment-driven roles becomes a practical risk mitigation approach. 00:00 The Most-Hired Casualty 04:19 Which Half It Eats 07:06 The Rent-a-Team Trap 09:47 Why Do We Care? Supported by: Pax8 Sign up for the SMB Online Conference: www.smbonlineconference.com 💼 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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    14 分
  • Hybrid Endpoint Management Is the New Normal: Jake Mosey on Visibility and Control
    2026/06/29
    The dominant structural shift addressed is the increasing operational dependency on Microsoft Intune for endpoint management across organizations of all sizes, which is exposing gaps between Microsoft’s native capabilities and the practical needs of managed environments. This shift is creating new pressure points for service margins, as IT service providers find themselves compensating for visibility limitations and inconsistencies in Intune’s deployment mechanisms. Vendors such as Recast Software have positioned themselves as companions that address these shortfalls, acknowledging that Microsoft routinely incorporates previously “companion” features into its own ecosystem. The primary evidence cited is the identified lack of comprehensive fleet visibility and inconsistent application deployment within Microsoft Intune environments. According to Recast Software’s Chief Product Officer, Jake Mosey, customer feedback repeatedly points to insufficient information about device states—especially during hybrid or co-managed transitions from Microsoft Configuration Manager to Intune—and challenges with application deployment timing, patching, and third-party app management. These operational gaps create environments in which service providers must employ supplemental tools to maintain efficiency and consistency across client environments. Supporting developments include lessons learned from similar dynamics in the Apple-Jamf ecosystem, where continual vendor evolution (“Sherlocking”) forced channel vendors to focus on speed, specialization, and building direct community relationships. Jake Mosey emphasized that effective community-driven product development relies on discerning the needs of the wider user base, not just the loudest voices, and maintaining a focused strategy. The discussion also highlighted persistent fragmentation in multi-platform environments, meaning MSPs must often manage diverse device fleets with varying visibility and control requirements—a complexity heightened during prolonged hybrid migration states. Operationally, MSPs and IT leaders face practical implications including increased vendor dependency, the need for multifaceted visibility tools, and a requirement to plan for ongoing hybrid environments rather than clean migration end-states. Service providers are urged to prioritize automation where possible but must also recognize that full migration to a single endpoint platform remains impractical for many. Failure to address these gaps increases risk to client productivity and end-user satisfaction, particularly when patching, application deployment, or security controls are inconsistently applied. The expectation is that meaningful improvements will depend more on inventory and visibility capabilities than solely on automation or AI. 💼 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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    23 分
  • Navigating Shrinking Seat Counts: How AI Pressures MSP Revenue Streams and Security Operations
    2026/06/25
    The dominant structural shift highlighted is margin pressure and business model viability for MSPs due to workforce reduction driven by AI automation. This is exemplified by Microsoft’s introduction of Agent365—an enterprise product licensing AI agents rather than human users—and industry reports forecasting that 30–50% of white-collar jobs may be replaced by AI technologies, according to publication summaries referenced during discussion. The shift fundamentally threatens the per-seat managed services pricing model that has anchored MSP revenue. Evidence of mounting financial risk is provided by the scenario where clients may halve their seat counts within a two-to-three-year window. As stated, this adjustment would immediately cut monthly recurring revenue (MMR) for MSPs. The discussion connects this trend to Microsoft’s evolving licensing model and notes an industry-wide consensus reflected in a Capterra survey, which found all surveyed MSPs in 2024 facing significant increases in local competition. The implication is that margin pressure from both automation and intensifying competition is occurring simultaneously. Additional developments reinforce the risks to stability. Security complexity and associated liability are increasing, as non-specialist teams—originally tasked with legacy IT functions—are now expected to take responsibility for security operations without adequate expertise. This burden is heightened by the emergence of unmanaged AI adoption at client organizations, creating new avenues for data exposure and regulatory risk. Surveyed business owners are considering exit or consolidation, citing inability or unwillingness to restructure business models to accommodate these changes. Peer group participation is recognized as widespread but not a direct countermeasure to these structural challenges. For MSPs and IT service providers, the practical implications are clear: reliance on the per-seat model is a growing contract risk, with revenue volatility linked to workforce automation outpacing both the speed of traditional service adaptation and client technology adoption. Accountabilities around AI risk, security governance, and compliance are expanding—often without a corresponding increase in compensable scope or staff capability. Operators must assess vendor dependency (especially in rapidly shifting software licensing models), realign service portfolios towards advisory, compliance, and security, and prepare for sustained market turbulence marked by shrinking margins and rising operational complexity. Supported by: Small Biz Thoughts Community Sign up for the SMB Online Conference: www.smbonlineconference.com 💼 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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    24 分
  • Memory Inflation: Why All-Inclusive MSP Hardware Pricing Is No Longer Sustainable
    2026/06/24
    A structural repricing of memory and silicon components is forcing a shift in the economics of hardware resale for managed service providers (MSPs) and IT service providers. This shift is driven by concentrated demand for memory components from AI infrastructure build-outs, as evidenced by data from IDC and remarks from companies including Apple, Micron, SK Hynix, and Samsung. The episode highlights that memory costs have quadrupled in a year, and that both endpoint devices and servers are experiencing durable price inflation due to component scarcity and intensified competition for supply. The most consequential development cited is Apple’s acknowledgment—confirmed by Tim Cook to the Wall Street Journal—that device price increases are now “unavoidable” because the cost of memory can no longer be absorbed. Memory manufacturers’ share prices rallied on this signal, reinforcing an investor consensus that higher component costs will persist. IDC data showed AI-focused, non-x86 servers using Nvidia’s ARM chips generated $58.7 billion—or nearly 48% of all server revenue—up 107% year over year, while x86 server revenue declined due to DRAM and NAND shortages. This dynamic indicates that AI infrastructure is bidding up component costs at the expense of standard business hardware. Secondary developments further reinforce this mechanism. The market’s response to U.S. government announcements regarding Intel chip capacity expansion demonstrates that relief from the silicon crunch remains years away, not months. Channel partners—according to industry reporting—were already pivoting from hardware resale to services prior to these price shocks, with thinning hardware margins preceding the current pressure. The combination of fixed-fee hardware contracts and rising component costs now places providers in a position where they are “short silicon,” having unknowingly absorbed inflation risk they cannot pass on under existing contractual terms. For MSPs and IT leaders, the principal operational implications center on contract structure, exposure to component price volatility, and diminished hardware margins. Providers with fixed monthly agreements or hardware-as-a-service contracts based on last year’s component costs are at an increasing risk of margin erosion, as their ability to reprice is contractually limited. Practical mitigation steps include auditing all fixed-fee agreements for exposure, amending contracts to include component index or price adjustment clauses, and separating hardware as a transparent, pass-through line item. Failing to adapt contract terms or refresh timing may compound both financial risk and the security profile of client endpoints. 00:00 Not the Tokens 03:31 An Auction for the Parts 05:46 Short Silicon 07:44 Why Do We Care? Supported by: Pax8 ScalePad Sign up for the SMB Online Conference: www.smbonlineconference.com 💼 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 分
  • MSPs Face New Risk: Customer Loyalty Drops When AI Replaces Human Interactio
    2026/06/23
    The episode reveals a structural shift where “AI powered” has moved from a selling point to a source of liability and customer distrust. Surveys from WordPress VIP, the Pew Research Center, and Carnegie Mellon University indicate that both consumers and professionals increasingly see visible AI in products and services as a negative attribute, eroding trust rather than adding perceived value. This trend impacts MSPs directly, as their role in advising clients on technology adoption now brings increased accountability for customer experience outcomes tied to AI-driven automation. According to a WordPress VIP survey, 60% of US consumers are deterred by the term “AI” in brand marketing, and 86% do not fully trust AI-delivered information, preferring original sources. The Pew Research Center found that, while 49% of US adults now use AI chatbots, 40% believe AI will worsen society and 67% distrust regulatory oversight. A Carnegie Mellon study of working visual artists reported 99% disapproving of generative AI and 85% refusing to use it. These quantified findings underscore a broad disconnect between AI adoption and public trust. Additional research reinforces this skepticism and clarifies operational risks. AnswerConnect’s survey of 6,000 consumers across the US, UK, and Canada found that 85% prefer human service over bot interactions, 57% lose trust in brands using AI for support, and 73% exhibit greater loyalty to businesses maintaining human involvement. Data from Fractal and Search Engine Land shows that the share of consumers who say heavy AI use would decrease their trust in a brand nearly doubled in a year, rising from 20% to 39%. Furthermore, 84% desire businesses to disclose AI use, yet only 20% of businesses consistently do so. These patterns suggest tangible declines in customer loyalty and increased expectation for transparency surrounding AI deployment. For MSPs and IT service providers, visible AI in customer-facing areas introduces pricing risk and trust liabilities. Delegating key customer interactions to AI without clear disclosure can erode brand equity and disrupt client retention metrics. The operational recommendation is to segment human-in-the-loop service as the standard premium offering, with fully automated AI positioned as a disclosed, lower-tier alternative. Writing these distinctions explicitly into contracts and statements of work—pairing them with actual client retention data—enables more defensible pricing and clarifies accountability, helping avoid unintended consequences tied to silent automation. 00:00 The Turn-Off 03:39 Reading the Motive 05:25 The Loyalty Account 08:35 Why Do We Care? Supported by: Pax8 ScalePad Sign up for the SMB Online Conference: www.smbonlineconference.com 💼 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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    12 分
  • Operational Maturity vs. Service Uniformity: Insights from Joshua Liberman’s Transition
    2026/06/22
    Vendor channel consolidation, specifically through peer and family-owned acquisitions, is driving a fundamental shift in the operational landscape for MSPs. This episode analyzes the case of NetSciences, an MSP based in New Mexico, which was acquired by Qual IT—a family-owned operator with over two decades in the space. The MSP market now includes multiple buyer categories: peer acquisitions, roll-ups, and private equity (PE) players, each with distinct approaches to valuation, integration, and operational continuity. The transition of NetSciences to Qual IT illustrates that smaller MSPs increasingly face decisions about optimal sale pathways. According to Joshua Liberman, roll-up buyers and PE investors often introduce rapid shifts in deal terms and operational models, with PE offers described as subject to abrupt valuation changes (drops up to 67% noted by Liberman), creating a higher risk profile for sellers seeking stability and legacy preservation. By contrast, the peer acquisition model (as executed through platforms such as ASCII’s peer-to-peer review process) is allowing some MSPs to complete sales with greater continuity and cultural alignment, though post-sale integration often defaults to the acquirer’s systems and standards rather than blending best practices. Secondary developments reinforcing this shift include persistent market focus on monthly recurring revenue (MRR) metrics and the operational tradeoffs of pursuing high MRR percentages. Liberman maintained a 50–60% MRR intentionally, arguing that chasing 80%+ MRR metrics can distort business health and does not universally suit all MSP models. Discussion of cybersecurity underscores the need to reposition technical services as business outcomes—security is described as foundational, permeating every operational and client decision, yet is often misunderstood or negotiated away to the detriment of risk posture. Operationally, these trends imply that MSPs must be highly selective about both client and acquirer fit, balancing growth trajectories against risk aggregation and cultural alignment. Attempts to homogenize client environments and enforce consistent security baselines are necessary but limit scale and acquisition appeal. Failure to assess how integration will shift toolsets, processes, and staff autonomy can result in loss of operational maturity and control post-sale. Additionally, the unchecked adoption of tools such as AI—without oversight or documented process—exemplifies emerging areas of governance risk that technology leaders cannot overlook. Supported by: ScalePadTimeZest Sign up for the SMB Online Conference: www.smbonlineconference.com 💼 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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    26 分
  • AI Agents Outnumber IT Admins: Credential Sprawl and Network Risks with Chris Boehm
    2026/06/19
    The episode highlights a structural shift in IT and security governance driven by the proliferation of autonomous AI agents inside enterprise environments. This shift is characterized by a mismatch between the visibility and control frameworks that organizations possess versus the scale and autonomy of AI deployments. Microsoft’s introduction of Agent365—a control plane designed for agent governance—and policy statements from its security leadership illustrate the growing gap between the number of AI agents and the traditional IT administrators tasked with managing them, raising questions about the effectiveness and scalability of legacy governance mechanisms. A consequential development described is the growing risk stemming from AI agents operating with inherited credentials and unrestricted lateral access, often without comprehensive oversight or tracking. Both Microsoft and Zero Networks are referenced as addressing this problem but propose different architectural solutions. Microsoft’s model emphasizes governance at the identity and endpoint layers, exemplified by Agent365, while Zero Networks promotes network-layer enforcement. The latter approach seeks to restrict lateral movement before it leads to a breach. Data points referenced include insider reports of numerous agents running undetected in enterprise workflows, and observations that most organizations lack accurate inventories or controls corresponding to their AI agent exposure. Supporting stories reinforce the structural shift and associated risk, with Chris Boehm emphasizing the speed and scope of AI agent deployment compared to previous technology waves such as mobile and cloud. The emergence of agents capable of rapidly scanning and connecting across systems further complicates standard prevention and detection postures. Credential governance is described as insufficient on its own, since privileges and exceptions tend to accumulate and enable unaudited access, particularly as agent proliferation accelerates. The episode also references the challenge of building reliable behavioral baselines due to the dynamic, ephemeral nature of modern agents, making static or manual approaches impractical. For MSPs and IT service providers, the operational implications include increased risk associated with governance gaps, margin pressure from the need to adopt new security layers, and greater complexity in maintaining policy enforcement. Existing security stacks are often fragmented, with consolidation complicated by the addition of new solutions that promise automation and scalability but also require integration into varying infrastructure maturity levels. Effective containment of breaches is increasingly tied to minimizing lateral movement rather than relying solely on detection speed. As agent-driven access becomes ubiquitous, the ability to dynamically segment and restrict access based on observed behavior, rather than static credentials alone, is highlighted as a practical safeguard in limiting breach impact and maintaining service continuity. Supported by:Zero Networks https://zeronetworks.com/ 💼 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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    23 分
  • AI Adoption Widens Operational Divide: Peter Kujawa on Service Leadership Index Data
    2026/06/18
    The episode centers on persistent margin pressure and operational discipline as the dominant structural mechanisms in the managed services sector. Data from the Service Leadership Index (SLI), managed by ConnectWise under Peter Kujawa, reveals that best-in-class MSPs continue to target aggressive profit growth—specifically, a 34% increase in profit dollars on only 10.6% revenue growth—despite already sustaining a six-year average of 19% adjusted EBITDA. The discussion highlights that achieving these targets relies less on rapid revenue growth and more on cost control, particularly around SG&A (Selling, General and Administrative Expenses), and highlights the influence of financial discipline often seen in private equity-backed firms. The analysis is grounded in quantitative benchmarking. According to the SLI’s 2026 profitability report, while best-in-class EBITDA performance has been sustained, recent years show a widening gap between budget targets and attainment. Specifically, in 2023, MSPs overshot their profit budget by 31%, but in 2024 and 2025, performance dropped to 81.9% and 89.4% of budget respectively. The report explicitly calls current profit targets “ambitious,” given recent misses. Scale thresholds were also referenced, notably the operational risks between $6M and $10M in annual revenue, with Peter Kujawa citing stalls in growth and compressed margins as common in that band. The episode further introduces the first iteration of an Automation Index intended to quantify financial and operational impact of AI adoption on MSPs. Metrics such as service multiple of wages, revenue per employee, and service gross margin are emphasized, but findings show that automation is not delivering uniform benefit. Top-tier MSPs increase efficiency and retain pricing discipline, while bottom quartile firms see little or no improvement in core metrics. The report also notes that private equity-backed providers are investing significantly in AI, though organic growth and acquisition costs remain similar across provider types. Operational implications for MSPs include heightened accountability for realistic forecasting and disciplined budgeting. Failure to match projections with operational realities risks unnecessary cost expansion, especially around headcount and tool adoption. For firms in key scale thresholds, owner delegation and leadership investment are essential to avoid stagnation and margin erosion. Additionally, automation and AI adoption provide efficiency opportunities but deliver benefit only to those with strong management practices; undisciplined adoption or margin givebacks through pricing discounts negate potential gains. MSPs must therefore focus on data-driven decision-making, careful cost control, and ongoing evaluation of both financial and operational KPIs to navigate increasing complexity, vendor dependency, and persistent margin pressures. 💼 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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    38 分