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The episode highlights a structural weakness in the current cybersecurity product ecosystem, where the process of certification and lab-based product validation often fails to ensure meaningful security. The episode focuses specifically on how regulatory and certification frameworks—such as those linked to device and software security—are largely decoupled from true technical evaluation, enabling both vendors and labs to use certification badges as symbolic rather than substantive assurances of security. According to Adwait Nadkarni, this decoupling allows manufacturers to treat compliance as a liability shield, rather than as a measure of robust risk mitigation. The most consequential finding, as articulated by Adwait Nadkarni, is that many certified security products can deliberately evade both automated and human review processes, with vulnerabilities designed to look secure while quietly exposing risk. The episode references certification structures such as SOC 2 and detailed research into IoT device certification, finding that certification labs often compete on speed and convenience instead of technical rigor. This creates a situation where certified products may still contain basic, decades-old flaws, with operators and MSPs left without practical recourse when technology fails. Other related developments reinforce the risk transfer created by certification mechanisms. Vendors frequently utilize broad liability disclaimers in end-user licensing agreements, explicitly or implicitly excluding themselves from responsibility for product failures—even in scenarios involving harm or downtime. Adwait Nadkarni points to practices where smoke detectors and other security products use ambiguous language about acceptable use and warranty, further reducing vendor accountability. Labs themselves generally disclaim any responsibility for the certified products’ behavior once deployed, emphasizing a system with diffuse or absent accountability. For MSPs and IT leaders, these developments underscore the need to move beyond reliance on certifications and vendor marketing. Operators should critically assess the actual language and protections embedded in contracts, focusing on enforceable liability rather than assuming technical validation from a certification badge. Absent regulatory reform or industry-wide consortia to create and uphold real minimum standards, the practical task for service providers is to minimize exposure to legal and operational risk by scrutinizing the fine print of contracts, seeking clear remedies for technology failures, and tempering trust in vendor assurances that cannot be independently verified. Supported by: GuardzCometBackup 💼 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 structural shift is occurring as employees and customers increasingly bypass sanctioned IT systems in favor of faster, unsanctioned "shadow" tools that offer comparable or "good enough" functionality with less friction. This shift is highlighted through evidence from Gartner, SparkToro, Microsoft, and reports from Altran Digital Business, which collectively show sanctioned internal and customer-facing systems losing relevance as users opt for alternative solutions that optimize convenience and efficiency over formal governance. The most consequential development referenced is Microsoft’s move to replace premium OpenAI and Anthropic models in core applications like Excel and Outlook with lower-cost in-house models, as reported by Bloomberg and Channel Insider. Microsoft claims these new models offer similar accuracy with increased efficiency, reflecting a broader market trend toward solutions that meet minimal functional thresholds at drastically reduced costs. This mirrors broader enterprise behavior, where cost and sufficiency now outweigh premium features, driving a reconsideration of value in AI provisioning. Supporting developments include a Gartner survey showing consumers are about three times more likely to use general AI tools like ChatGPT than corporate chatbots, and a report from Altran Digital Business revealing that over half of employees rely on personal devices or unauthorized tools for work, with nearly a third ceasing to report IT problems entirely. Clickstream data shows that more than two-thirds of Google searches end without a click as users accept AI summary answers, bypassing source links altogether. Vendors such as N-Able and Okta are responding with new products aimed at identifying and gating shadow tool usage, but these approaches often add operational friction without actually closing governance gaps, as Kaseya data indicates most SaaS accounts remain unmanaged despite existing controls. For MSPs and IT leaders, the key implication is that additional controls and "lockdown" measures are likely to increase friction without effectively steering users back to sanctioned processes. Current market tools that focus on visibility and gating of shadow IT may exacerbate the problem by making official workflows less attractive. The practical recommendation is to map where users have already abandoned sanctioned paths and focus on improving those official workflows until they are easily usable and competitive with shadow alternatives. The effectiveness of service delivery should be measured not by control metrics, but by whether users actively choose sanctioned systems for their work. 00:00 The quiet walkout 03:49 Even Microsoft picked good-enough 06:22 Why more control backfires 09:00 Why Do We Care? Supported by: Pax8 💼 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 shift examined is the erosion of channel-driven value creation in AI offerings, marked by the rapid commoditization of resold AI technologies and a pivot toward consumption-based pricing models. Microsoft Copilot is cited as the most commonly resold AI product by MSPs, with market data showing that 84% of productized AI services among “AI forward” firms rely on this single vendor. The resulting model accelerates value capture at the vendor level, narrowing room for differentiated service or margin at the partner level. This consolidation pressures MSPs to shift from traditional product resale to enablement and operational integration or risk disintermediation. The primary development highlighted is the widespread lack of substantive AI go-to-market offerings among MSPs. According to analyzed web positioning data, 61% of MSPs do not mention AI offerings on their sites, and among those that do, the majority use vague or unscoped “AI solutions” language without concrete services behind them. Only a small subset offers named, productized AI services. Of these, the overwhelming reliance on Microsoft Copilot underscores a lack of channel-developed solutions and points to a market structure where vendors, rather than partners, capture much of the economic value. Supporting developments reinforce both the risk and inertia present within the channel. Ryan Morris outlines that true differentiation will require MSPs to develop packaged offerings around governance, financial controls, and vertical-specific business outcomes, yet early market activity shows little movement in these directions. The discussion emphasizes the potential for cost overrun through uncontrolled AI consumption, echoing past cycles from telecommunications to cloud. Efforts by large vendors to staff direct AI engineering resources are framed as a threat only to the top enterprise tier, with the bulk of SMB delivery left to service providers—albeit within a model now driven heavily by consumption volume and efficiency calculations. Operational implications for MSPs and IT leaders include increased pricing pressure and possible margin erosion as customers optimize consumption and as vendors streamline direct monetization of AI. There is a growing need for internal and customer-facing governance structures to manage data use, financial exposure, and compliance. Channel partners that limit themselves to product resale risk commoditization, while those able to package and deliver business-integrated AI services may find more durable value. The episode underscores the urgency for MSPs to clarify and productize their AI engagement—not simply as a differentiator, but as a defensive strategy against margin compression and vendor dependency. 💼 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 core structural shift affecting MSPs and IT service providers is a market bifurcation, where the traditional middle-ground offering—an undifferentiated blend of hardware and support—no longer matches client buying behavior. Dave Sobel referenced research from Techisle, which underscores a split between buyers seeking high-touch, managed outcomes and those opting for low-cost, self-serve technology tools. This division is further exacerbated by increasing component costs and external pressures on hardware pricing, particularly the rapidly escalating prices for memory and storage. Supporting data comes from a recent analysis of approximately 3,000 MSP websites conducted by Business of Tech. The scan found that 68% of MSPs make no mention of AI in their public-facing materials, with only about 1 in 7 offering a defined AI service. Simultaneously, reporting from both Business Insider and E2E reveals that 90% of businesses already have employees using AI tools—primarily adopted independently rather than through formal provider channels. This disconnect highlights a lag in MSP market positioning relative to how technology is actually being acquired and implemented by clients. Additional market stresses are introduced by rising hardware costs linked directly to shortages in memory and storage components. Apple’s price increases for Macs and iPads serve as a tangible example, justified by upstream cost spikes in DRAM, which CNBC reported has increased nearly 9x—from approximately $35 to $300 per module. Further, AI data center buildouts are projected to divert up to 20% of consumer memory manufacturing by 2027, suggesting ongoing and intensifying cost pressures for MSPs still reliant on hardware-centric business models. Most providers, as observed by Dave Sobel, remain silent or default to restating the value of external AI platforms like Microsoft Copilot. The practical implication for MSPs and IT service providers is a pressing need to reassess positioning and operational models. Providers embedded in the undifferentiated middle face rising cost risk, declining differentiation, and potential margin erosion. Viable paths require declaring and operationalizing a clear service model, either by transparently externalizing hardware and component pricing risk, or by committing to outcome-based, managed offerings where the provider takes on measurable accountability. Those who adapt agreements and marketing to clarify their role—particularly by documenting internal AI-driven efficiencies—will be better equipped to sustain margin and client relevance as market forces continue to widen the gap. 00:00 Two-Thirds of MSPs Are Silent 04:37 The Memory Shock Splitting the Market 07:05 No Buyer Left in the Middle 10:41 Why Do We Care? Supported by: CometBackup ScalePad 💼 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 structural decoupling of software value from licensing units, driven by the rise of agentic AI platforms that automate tasks previously executed by human users within applications. This shift is evidenced by vendors realigning away from per-seat software economics toward service and outcome-based models. Companies such as Microsoft, Amazon, and OpenAI are redirecting resources into consulting and certification initiatives, responding to changing customer usage patterns and eroding profitability of traditional license models. According to Gartner, agentic AI could impact 20% of enterprise SaaS spend by 2030, redefining how businesses allocate budgets for software and services. A notable development illustrating this shift is Notion’s decision to discontinue its Notion Mail application, not for lack of adoption, but because automated AI agents had largely replaced the need for a human-operated inbox. Microsoft has committed $2.5 billion and hired 6,000 consultants to embed AI solutions directly within client environments, bypassing traditional software seat sales. OpenAI has announced a global partner program aiming for 300,000 certified consultants within a year, while Amazon is embedding similar models into its offerings. Financial disclosures reveal that OpenAI’s cost structure remains unsustainable under typical software unit economics, spending $1.60 for every $1 earned as of the most recent annual report. These developments reinforce the displacement of the per-seat licensing model. Gartner’s cited mechanism is arbitrage, where agentic AI completes cross-system tasks without users actively working within apps, detaching business value from app usage. Traditional consulting’s move away from hourly billing, as reported by the Wall Street Journal, echoes the software industry’s realignment, emphasizing fixed-fee and outcome-based pricing over labor hours. The combination of end-client optimization efforts, vendor migration to services, and changes in consulting economics demonstrates a market-wide move toward operational accountability over software resale. For MSPs and IT providers, these changes pose direct challenges to legacy revenue assumptions and operational models. Per-user or license-based pricing faces mounting contract risk as agentic agents reduce seat counts. Service providers will be evaluated on their ability to manage this transition—internally and for their clients—by documenting workflow changes, auditing tool stacks, and adapting to new consumption and outcome-based vendor models. Early adoption of these practices within one’s own business is becoming a credibility benchmark, as prospective clients scrutinize whether providers have successfully navigated the same seat retirement and cost reallocation they are expected to deliver. 00:00 Software Giants Go Human 04:26 Agents Don't Buy Seats 06:58 Squeezed From Both Ends 10;12 Why Do We Care? Supported by: Guardz Pax8 💼 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 explored in this episode centers on governance gaps in access management and the resulting liability transfer to MSPs. The discussion highlights how fragmented identity stacks, unmanaged access, and reliance on manual tracking expose MSPs to growing contractual, operational, and legal risk. Companies and technologies referenced include Microsoft 365, Google Workspace, Okta, ConnectWise, and specific access governance solutions targeting the channel. The ConnectWise 2026 Threat Report identifies credential abuse as a core attack vector, underscoring how unaddressed authorization and access drift remain a structural exposure area. The episode cites multiple indicators and supporting data. According to the ConnectWise 2026 Threat Report, credential abuse is now the primary attack vector, with attackers commonly exploiting active and orphaned accounts left unmanaged in client environments. Fragmented identity stacks complicate the onboarding and offboarding process, with onboarding often requiring 45 minutes per client as technicians navigate numerous access portals. The prevalence of shadow IT, orphaned accounts, and missed deprovisioning windows was discussed as persistent drivers of both operational overhead and increased incident risk. Supporting developments include community-documented scenarios where multi-factor authentication (MFA) was present but insufficient to prevent breaches, particularly when privilege escalation or temporary exclusions remain unaddressed. Examples such as the Reddit phishing event and Microsoft’s handling of MFA via VOIP demonstrate how authentication is distinct from governance, and that temporary access or exceptions frequently become permanent, heightening exposure. Regulatory environments—including healthcare, finance, and government—were cited as adding further requirements for explicit governance controls and auditable access policies, while manual spreadsheet tracking often fails to meet these demands. The operational implications for MSPs include the need to move beyond basic practice such as MFA and endpoint protection, toward purpose-built tools and processes that provide continual visibility, auditable controls, and policy enforcement for client access. Without this, MSPs face increased administrative burden, billing discrepancies, contractual liability, and reputational risk. As regulatory audits become more demanding and clients demand clearer evidence of governance, service providers must reconcile the tradeoffs between increased process complexity and the need for automated, enforceable identity governance. This shift challenges existing pricing models, requiring MSPs to justify and potentially repackage their service offerings in the context of risk management and operational maturity. 💼 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 examines the ongoing shift in the IT services market from traditional managed services to “managed intelligence,” as vendors like PAX8 and ConnectWise attempt to reposition their offerings around artificial intelligence (AI). This structural change introduces increased operational complexity for MSPs who are being urged to adopt new AI-driven models, while facing evolving expectations regarding service delivery, pricing, and accountability. The mechanism at play is the transfer of risk and uncertainty from vendors to MSPs, especially as AI and usage-based billing models upend established business practices. One significant development highlighted is PAX8’s call for MSPs to become “managed intelligence providers”; however, according to PAX8’s own head of AI adoption, only 17 out of 600 interviewed partners currently meet that standard, up from 13 a year prior. In response to this slow uptake, PAX8 has introduced bridge services and a Managed Intelligence Program to support partners through the transition, including white-labeled AI services and a platform for tracking usage called the agent gateway. These efforts underscore that the managed intelligence model presents a steep learning curve for most MSPs, with few having yet achieved operational maturity in this area. Related market activity further illustrates these dynamics. ConnectWise has restructured its platform around an AI core, introducing predictive intelligence and shifting to ticket-based billing rather than traditional per-seat models. According to ConnectWise, this shift reduces L1-L2 ticket escalations by 86% and increases technician productivity by 30%. Meanwhile, concerns remain about data ownership and the scope of actionable information, with companies like Lexful and Enable pushing for greater integration across siloed applications. There is also ongoing debate on whether system-of-record vendors or independent AI-native platforms will ultimately control operational workflows and client relationships. For MSPs and IT service providers, these developments translate into practical concerns around vendor dependency, variable cost exposure, and pricing pressure. The move to consumption-driven models and token economics increases unpredictability, forcing providers to absorb or carefully manage AI usage costs or risk compressed margins. There are also governance and accountability questions related to client relationships, especially as more AI service layers are introduced by upstream vendors. The operational implication is a need for heightened financial diligence, risk assessment, and a clear strategy for maintaining client trust and service differentiation in an increasingly intermediated service landscape. Sponsored by: Pax8 ScalePadABC SolutionsRythmz 💼 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 shift outlined is a transfer of liability and accountability for AI-generated errors from vendors to the entities deploying these systems—primarily MSPs and their clients. While vendors aggressively promote scalable AI tools and urge rapid adoption, the legal and operational burden of verifying and standing behind AI output falls on deployers, not on the tool providers. Recent court rulings and shifting buyer expectations are accelerating this transfer, fundamentally altering the MSP business model around AI services. Primary evidence for this shift comes from both industry behavior and legal precedent. Kaseya urged MSPs to quickly embrace AI services while revealing that only about 13% of providers are seeing significant revenue from AI, despite roughly half of clients requesting these solutions. Compounding the structural gap is a low conversion rate from proof-of-concept to production (only 20% success, per Kaseya), and high failure rates in AI-generated code—Forbes reported security and logic errors appear far more frequently in machine-produced output than in human code. Notably, courts in Germany and Canada have ruled that organizations are legally responsible for the statements and errors created by their AI, not the vendors providing the underlying tools. Supporting developments reinforce the risk and accountability mismatch. Research cited from Gartner indicates over 70% of CEOs and 75% of CIOs believe current IT operating models are unfit for the demands of the AI era, highlighting a recognized governance gap. Consumer surveys show that over half hold company leadership personally responsible for AI failures. The recurring vendor emphasis on selling tools, combined with product features that prioritize scale over individualized accountability, deepens the structural challenge for service providers. For MSPs and IT service organizations, the primary practical implication is that competitive differentiation and risk mitigation will depend less on which AI products are resold and more on documented processes for reviewing, annotating, and standing behind AI-generated output. Vendors’ tools are pervasive and quickly commoditized, so market separation arises from the ability to provide tangible accountability standards—proof of human review, defined sign-off authority, and clear records for client audits and legal defense. Pricing strategies that reflect the cost of accountability, rather than simply product markup, are likely to become more sustainable as client focus shifts from features to liability management in AI adoption. 00:00 The 13% Problem 03:29 The Tool vs. The Work 05:43 The Wrong Answer's New Address 08:37 Why Do We Care? Supported by: CometBackup TimeZest 💼 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 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.

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.