Business of Tech: Daily 10-Minute IT Services Insights

The structural shift explored centers on the reconfiguration of labor dynamics within the MSP sector, driven by slowing wage inflation, increased automation, and the early adoption of AI. This mechanism is documented in the Service Leadership Annual IT Solution Provider Compensation Report, which highlights how top-performing MSPs are leveraging automation and AI for productivity improvements rather than aggressive hiring strategies. The report, as referenced by Service Leadership (a ConnectWise company), provides direct benchmarking on compensation and operational models, underscoring a pivot from pure labor-intensive growth to efficiency and automation as profit drivers. According to the report, wage inflation in the MSP space peaked in 2021–2022, with MSPs facing cost increases as high as 10–14%, but pressures have since gradually eased. Despite this moderation, labor represents 75–80% of cost of goods sold, and wages continue to rise at nearly twice the rate of the consumer price index, the report finds. Best-in-class MSPs have achieved higher margins per employee by both slowing headcount growth and integrating automation and AI, rather than through blanket budget cuts or wage freezes. Notably, these more productive MSPs employ a higher proportion of junior (level 1) technicians, maintain lower average compensation per employee, and tie greater proportions of total pay to performance-based incentives, unlike the bottom quartile. The episode also references broader MSP market forces including security concerns amplified by AI adoption, persistent vendor support gaps such as those with Microsoft, and instability illustrated by OpenAI’s controversial government contracts and resulting user boycotts. These developments demonstrate how increasing automation and agent-based AI can pose new governance requirements, business continuity risks, and ethical dilemmas. Commentary from the SMB Community Podcast reinforces that industry consolidation, vendor reliability, and the balance between productivity and customer satisfaction will remain ongoing concerns for operators. For MSPs and IT service leaders, the implication is not a simple outsourcing of operational burden to technology, but an increase in vendor dependency, requirement for ongoing process redesign, and heightened need for accountability in compensation, automation, and security policy. Adopting automation and AI is likely to shift job mixes and compensation frameworks, reducing reliance on senior technical labor but requiring rigorous performance-based structures and clear governance for emerging technologies. The trend also signals a need for careful vendor selection and data management, as operational resiliency becomes increasingly tied to the stability and support capacity of automation and AI infrastructure providers. Supported by: RythmzABC Solutions, LLC  💼 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.

A significant shift addressed in this episode is the reconfiguration of business dispute resolution away from traditional litigation toward digital arbitration infrastructure. New Era ADR exemplifies this mechanism by providing a cloud-based, tech-enabled platform designed to compress legal dispute timelines and costs, fundamentally altering the risk structure for businesses that face contract enforcement issues and litigation exposure. The most consequential development is New Era ADR's assertion that its system resolves typical business disputes in approximately 100 days—up to 90% faster than court litigation—using digital workflows, AI-assisted processes, and a flat-fee pricing model. According to New Era ADR’s leadership, the core platform includes end-to-end case management, digital document exchange, and process automation. The platform is positioned as enforceable under the Federal Arbitration Act, enabling mutual agreement for digital arbitration in contractual clauses and establishing predictable resolution timelines versus the uncertainty and duration common in court proceedings. Additional details reinforce this structural shift: the adoption mechanism leverages standard contract language, enabling businesses to designate New Era ADR as their default dispute forum with minimal operational friction. Safeguards are designed around deliberate limits on automation and AI deployment, with a focus on maintaining user trust and compliance with legal standards. Rules and procedures are engineered to prevent process abuse and to align the incentives of mediators and arbitrators, with both service providers and neutral parties subject to flat fees. Early customer adoption, including organizations in regulated sectors and high-profile enterprises, provides social proof for the model. Operational implications for MSPs and IT leaders include reduced contract risk exposure from protracted litigation and improved cost predictability. Shifting dispute resolution to digital arbitration platforms requires careful consideration of contract language, arbitration enforceability, and process transparency. Flat-fee models transfer focus from hourly billing to procedure-driven controls, which may impact how MSPs structure their own agreements, vendor relationships, and liability management. Dependence on third-party arbitration platforms adds a new governance dimension, mandating ongoing evaluation of compliance, automation boundaries, and audit trails to mitigate bias and unintended outcomes.  💼 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.

The deployment of artificial intelligence across the business sector is introducing structural margin pressure rather than delivering the promised productivity dividend. Rather than self-funding through measurable efficiency gains, AI investments are currently being financed through compensation cuts, organizational tightening, and heightened performance expectations, as evidenced by data from ActivTrak, Gallup, Novoresume, and ResumeBuilder. This shift positions AI less as a driver of output and more as a cost-cutting measure embedded in software spending. Concrete developments show that, according to ActivTrak analysis, time spent on email and messaging has increased after AI adoption, while uninterrupted focus time has declined. Gallup data confirms that about 40% of employees use AI tools, though only a fraction leverage them effectively. Novoresume’s survey reveals that although half of AI users report completing tasks more quickly, much of the saved time is not reinvested in productive output, and over half of respondents believe they could perform their roles at a similar level without AI involvement. Supporting evidence from Jobs for the Future identifies significant worker skepticism and low readiness, with only 36% of employees feeling equipped to use AI effectively and 44% viewing AI as a net negative for jobs and quality of life. Further, Snowflake’s findings indicate that organizations are adjusting headcount to fill new skill gaps while eliminating overlapping functions. Inside the channel, ConnectWise observes that larger MSPs and VARs are curtailing compensation increases and relying on AI as a headcount management lever, exacerbating delivery expectations as evidenced in the Resume Builder findings. The operational consequences for MSPs and IT service providers are clear: organizations can no longer treat AI as a simple add-on. Providers face heightened expectations to deliver measurable outcomes—such as enhanced ticket resolution or lower escalation rates—despite constrained labor resources and ongoing workflow disruption. Without system-level productivity proof, procurement may preemptively reduce service spend. Effective risk management now requires auditing AI deployments for verifiable workflow changes, embedding measurable AI outcomes in QBRs, and treating workflow redesign and user training not as optional extras but as necessary, billable services. 00:00 Busier With AI 03:05 AI Outpaces Workers 05:33 MSP Squeeze 07:46 Why Do We Care?  Supported by:  Nerdio , 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.

The episode highlights a structural shift in the cyber insurance market, marked by increasing reliance on risk analytics and automation for underwriting and claims management. Companies like CyberWrite and its CyGPT platform exemplify this move, leveraging artificial intelligence and large language models (LLMs) to support decisions around risk evaluation, policy underwriting, and post-incident analysis. The discussion points to a broader trend where insurers, seeking profitability and efficiency amidst rising cyber threats, increasingly depend on technical risk scoring and automated assessment rather than deep operational understanding of client environments. A key development is the heightened use of pre-breach and post-breach data collection by insurers for client evaluation. According to Nir Perry, insurance companies deploy platforms that scan client attack surfaces, dark web exposure, and implemented security measures, supplemented by questionnaires often completed by MSPs or IT managers. For larger clients or more significant coverage, insurers require more detailed controls and evidence, but the overall business remains highly profitable, with loss ratios generally favorable except in brief harder-market phases. The industry’s underwriting models, as outlined by Nir Perry, prioritize statistical risk reduction based on historical breach data, not bespoke knowledge of each MSP’s operational reality. Secondary factors reinforcing this shift include tension between checklist-based compliance approaches and practical security management, as well as the growing expectation that AI-enabled tools will speed up risk assessments and ROI modeling for security investments. Nir Perry notes that modern LLM-driven systems can rapidly extract and interpret risk information from technical documentation, enabling faster, data-driven recommendations for both insurers and MSPs. However, the episode also covers gaps in accountability when large software vendors shift the risk of vulnerabilities onto customers—a contrast to physical world liability frameworks—indicating persistent governance gaps in cyber risk assignment. For MSPs and IT leaders, increased dependency on insurer-driven checklists and risk models means that decision-making must closely track evolving carrier requirements, not merely technical best practices. Contractual and evidentiary risk arises if controls asserted during underwriting are not maintained, with some carriers declining coverage where documentation is inaccurate or solutions are misrepresented. Providers must account for operational delays during incidents, as insurer processes may prioritize forensics and evidence over immediate restoration. The proliferation of AI tools for risk analysis can help justify investments to business stakeholders but also increases the need for transparent and auditable decision records.  💼 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.

The dominant structural mechanism identified is the consolidation of security operations from individual point tools to integrated control planes that automate enforcement and provide continuous assurance. This shift, highlighted through developments at companies such as Huntress, NinjaOne, CrowdStrike, and NVIDIA, is driven by increased complexity in client environments and the acceleration of AI adoption outpacing internal governance frameworks. The trend forces MSPs away from tool management and toward delivering evidence-based assurance within unified operational models. A core evidence point is the visibility and skills gap in AI deployment across enterprises. The Pentera Benchmark study cited in the episode found that two-thirds of CISOs report limited visibility into AI use within their organizations, with none claiming complete oversight. Most respondents named lack of internal expertise as the main barrier, and many are extending legacy security controls to cover AI systems despite unclear ownership and governance. The market response—such as Check Point’s introduction of an AI advisory service—indexes on closing this governance deficit created by rapid, unregulated AI adoption. Supporting developments reinforce this consolidation trend. Huntress now offers managed endpoint and identity posture services that automate security enforcement, while NinjaOne integrates vulnerability identification, patching, and remediation workflows to minimize operator error and reduce tool sprawl. CrowdStrike and NVIDIA are embedding security controls directly into the AI runtime environment, tying governance and observability into the stack rather than layering it on later. These actions illustrate and accelerate the power shift to platform vendors capable of centralized, automated control. For MSPs and IT service leaders, the operational impact includes increased vendor dependency, pressure to clearly define and prove enforceable outcomes in contracts, and greater risk exposure if platforms control key client data or proof artifacts. The move toward orchestration layers raises switching costs and pushes MSPs to build their own proof and reporting layers to maintain client value. Failure to adapt risks relegating providers to low-margin, commoditized contracts dependent on external vendors for both delivery and accountability. Three things to know today 00:00 Attackers Adapt 03:11 Platform Takeover 05:34 MSP Reckoning 09:01 Why Do We Care?  Supported by:  ScalePad  Nerdio   💼 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.

The episode reveals a structural shift in the managed services market, where the value proposition for MSPs and IT service providers is moving away from “running the tools” to delivering governance, risk management, and outcome-driven services. This shift is catalyzed by the increasing commoditization of tool-centric operations, as platforms and vendors such as Microsoft (Autopatch), Atera (autonomous agents), Summit Holdings (MSP as a service), and Ruest (RoboRoosty AI Workflow Builder) push standardized automation, workflow tools, and backend service packaging into the market. Cisco’s Global State of Security report underscores this trend, identifying tool maintenance and fragmentation as primary sources of inefficiency. Evidence from Cisco shows 59% of security leaders pointing to tool maintenance as the chief inefficiency, with 78% citing tool dispersion and lack of integration. For MSPs, this results in growing unbillable labor spent on connecting systems, onboarding, retraining, and managing exceptions. The report indicates that the cost to deliver services is escalating faster than the value captured in contracts, exposing a margin squeeze and highlighting the risk that unmanaged operational complexity poses to profitability. Secondary developments reinforce the structural shift. Atera’s no-ticket operational model and Microsoft’s implementation of security updates through Intune and Autopatch transfer control and cadence of IT operations upstream, leaving MSPs responsible for policy exceptions and business risk translation rather than day-to-day execution. Summit Holdings’ “MSP as a service” and D&H’s expansion into enablement and training further commoditize backend functions, reducing differentiation for providers who fail to retain independent client intelligence and risk management. Operationally, the implications for MSPs and IT leaders are clear: dependency on vendor platforms and wholesale backend solutions increases, making risk ownership and client-specific intelligence the remaining sources of defensible value. Providers unable to price or document governance and exception management risk seeing margins erode as they absorb unbillable labor and liability. Future operational strategy will require clear mapping of tools to billable outcomes, explicit governance layers, and careful evaluation of which client insights remain uniquely held versus replicated across standardized platforms. Three things to know today 00:00 Tools vs Outcomes 02:50 Delivery Gets Packaged 05:17 Defaults Have Costs 07:42 Why Do We Care?  Supported by:  TimeZest Small Biz Thoughts Community  💼 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.

The episode details a structural shift in the technology landscape: AI models are increasingly being treated as commodity components, with operational control and procurement decisions moving to the orchestration layer. This change is illustrated by government procurement actions, specifically the Pentagon’s designation of Anthropic’s Claude model as a supply chain risk and the subsequent shift in model eligibility requirements. Policymaking authorities are now directly dictating which models can be used within national security supply chains, reconfiguring where power, liability, and decision-making sit. The primary development is the Department of Defense’s recent disqualification of Anthropic’s Claude from eligible contracts, leading to both contract cancellations and legal disputes. Anthropic has responded with lawsuits contesting its supply chain risk designation, while Microsoft has sought court intervention to block the Pentagon’s ban, asserting this would prevent disruption to military AI workflows. The State Department has also moved its internal chatbot infrastructure from Claude Sonic 4.5 to OpenAI’s GPT-4.1, aligning with the President’s compliance directive. Supporting developments include Google’s deployment of Gemini-powered AI agents within the Department of Defense, and the emergence of tools such as Perplexity’s APIs, which aim to simplify workflow construction across multiple models. The episode emphasizes that model swaps by agencies are not merely technical updates, but policy-driven control decisions. These actions underscore a climate in which model eligibility and operational portability are shaped by compliance and procurement authorities rather than technical teams or vendors. Operational implications for MSPs and IT providers are profound. Single-model dependencies now present measurable contract risk, especially for clients in defense, healthcare, or finance sectors. Swapping models requires revalidation of prompts, outputs, and integrations, rather than simple API repointing. Providers are advised to audit workflows for reliance on any one model, prioritize abstraction layers that enable smooth transitions, and position model-agnostic architectures as proactive risk management. In a landscape defined by commodity models and policy-driven eligibility, model diversification now represents continuity planning rather than an engineering preference. Three things to know today: 00:00 Pentagon vs. Anthropic 02:19 Beyond the Model 05:07 Why Do We Care?  Supported by:  ScalePad, Small Biz Thoughts Community  💼 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.

The episode centers on sustained component shortages in the IT channel, specifically RAM, which are expected to last for approximately two years. Dave Sobel and the CEO of Contextworld review the immediate and projected impacts, citing that shortages are driving manufacturers to allocate available components to higher-priced machines, hollowing out mid-range offerings. The result is a decline in unit sales, particularly in the consumer segment, offset by increases in average selling prices. Vendors may see overall revenue growth despite fewer units sold, but questions remain about whether increased margins will benefit distributors and resellers or be absorbed by vendors. Supporting data includes projections for the European market: unit sales are anticipated to decline by around 7%, while average selling prices may rise by approximately 14%, yielding a potential 6% net increase in vendor revenues. There is a distinction between business and consumer purchasing behaviors; business buyers are expected to maintain higher levels of spending due to operational requirements and perceived advantages from new hardware, especially AI-enabled devices, while consumer demand is forecast to soften due to price sensitivity. Adjacent topics include shifts in purchasing habits and technology adoption. Contextworld's sales data indicate increased demand for in-person retail, particularly in Europe and the UK, attributed to consumer interest in hands-on evaluation of new technologies, such as AI-capable PCs. While AI as a concept seldom drives purchasing decisions directly, named features like Copilot PCs are recognized as influencing consumer choices. The conversation also highlights Apple's expanding focus on business markets, with optimism for its forthcoming AI capabilities, and the emergence of vendors like Anthropic targeting enterprises with security and social responsibility as differentiators. For MSPs and IT leaders, the primary operational implications include the need to adapt to a competitive landscape marked by supply constraints, price volatility, and evolving buyer behavior. The channel may be strengthened by integrating new value-added services, such as cybersecurity and managed services, yet risk remains regarding margin capture and vendor strategies. Providers are advised to monitor shifts toward ecosystem-driven AI solutions and evolving market programs, as well as opportunities in "declining" market segments that may still offer profitability for those able to meet residual demand efficiently.  💼 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.

The episode identifies a fundamental structural shift in the MSP and IT services landscape: vendor channel consolidation and ecosystem dependency are increasingly determining who controls customer relationships, margins, and access to recurring revenue streams. Companies such as Microsoft, Anthropic, and Huntress are actively reshaping the ecosystem by investing significant resources in partner programs and platform strategies that dictate operational baselines and restrict neutrality. This realignment is driving MSPs to deliberately choose platform alignments, as attempting to remain neutral increasingly results in a loss of relevance and market access. Central to this shift is Anthropic’s $100 million investment in launching the Claude Partner Network for 2026, which creates certification and co-sell incentives for firms capable of implementing Claude within enterprise environments. According to Dave Sobel, this is not long-range product development but a concentrated customer acquisition cost to rapidly build channel coverage. In parallel, Microsoft is embedding Anthropic models within Copilot, shifting to a multi-model approach that retains flexibility at the AI model layer while keeping Azure as the entrenched operational platform. Supporting developments reinforce these channel and ecosystem pressures. Huntress’s move to expand its partner program to value-added resellers (VARs) dilutes its previously MSP-exclusive channel, removing some of the distribution advantages MSPs may have relied upon. Sonomi’s positioning of third-party risk management as an MSP revenue opportunity comes amid rising supply chain risk, as supported by ConnectWise’s 2026 MSP Threat Report highlighting increased identity abuse and supply chain attacks. Simultaneously, declining PC shipments—especially for budget devices—are shifting the economic emphasis from hardware projects to operational service engagements such as identity governance and lifecycle management. The operational implications for MSPs are clear: partner program frameworks have become the gatekeepers of pricing, leads, and ongoing service annuities, reducing the room for independent strategy or procurement-driven decisions. Ecosystem alignment must be intentional and based on a realistic assessment of program timelines, certification windows, and revenue structure. As hardware refresh cycles slow and vendors consolidate services and identity requirements, MSPs face increased dependency risk, potential margin erosion, and diminished negotiating leverage. Those failing to anticipate or adapt to these shifts risk being relegated to subcontractor roles without control over customer relationships or recurring revenues. Three things to know today 00:00 AI Channel War 02:27 Identity Baseline Shift 03:43 Refresh Revenue Shift 04:46 Why Do We Care?  Supported by:  Small Biz Thoughts Community     💼 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.

AI deployment is compressing margins and altering the economic structure of the IT services market, with digital platforms and private equity–backed consulting now determining who controls distribution, interfaces, and downstream value capture. As referenced by Dave Sobel, developments such as large language models reshaping search, IT distributors repositioning as digital marketplaces, and private equity standardizing AI consulting are reducing the role of traditional MSPs to commoditized implementation labor. Concrete market evidence includes the Global Technology Distribution Council’s report citing that 80% of vendors see partner ecosystem growth as key, while 86% are using or testing digital platforms to drive cloud and AI services. Examples such as Anthropic’s discussions to create AI consulting joint ventures with Blackstone and Hellman Friedman, as well as OpenAI’s partnerships with Thrive Holdings and Shield Technology Partners, show that operational models are being standardized and consolidated. Meanwhile, AI-powered search is reducing clicks to original content by up to 89%, transferring value to whoever controls the user interface. Supporting data from surveys conducted by the SMB Group, Pega Systems, and Atlassian highlight that 53% of SMBs are using AI, but only 3% of organizations report measurable business transformation despite a 33% productivity boost. Consumers show distrust in AI-driven customer service, and employee burnout and reduced confidence indicate that MSPs are absorbing increased operational complexity and support burdens even as margins compress. These developments reinforce the channel consolidation and margin repricing mechanisms described above. For MSPs and IT leaders, the practical risks include growing dependency on distributor and vendor digital marketplaces, narrowing ability to influence platform economics, and the transfer of governance obligations without matching margin. Priority areas are building defensible, repeatable governance frameworks around AI, owning escalation and validation paths, and repositioning services toward process redesign engagements—not commoditized tool deployment. Failing to establish an IP or governance wedge may result in MSPs being locked into subcontractor roles with little leverage over pricing or client outcomes. Three things to know today: 00:00 Channel Bypassed 02:26 Delivery Commoditized 04:15 MSPs Left Holding 07:12 Why Do We Care?  Supported by:  ScalePadSmall biz Thought Community      💼 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.