Business of Tech: Daily 10-Minute IT Services Insights Podcast Por MSP Radio arte de portada

Business of Tech: Daily 10-Minute IT Services Insights

Business of Tech: Daily 10-Minute IT Services Insights

De: MSP Radio
Escúchala gratis

In 10 minutes daily, The Business of Tech delivers the latest IT services and MSP-focused news and commentary. Curated to stories that matter with commentary answering 'Why Do We Care?', channel veteran Dave Sobel brings you up to speed and provides resources to go deeper. With insights and analysis, this focused podcast focuses on the knowledge you need to be effective, profitable, and relevant.Copyright 2019-2026 MSP Radio Economía Política y Gobierno
Episodios
  • Tiffani Bova on AI Compressing the MSP Transition: Faster Change, Higher Risk

    Tiffani Bova on AI Compressing the MSP Transition: Faster Change, Higher Risk
    Apr 20 2026
    The structural shift facing MSPs is the rapid movement from the traditional “model era” to the “orchestration era,” driven by accelerated adoption of artificial intelligence (AI) and changing vendor enablement programs. This transition is fueled by companies such as Salesforce and technology directions from hyperscalers, with emerging research from the Futurum Group indicating that AI is not only enabling automation but also redefining service delivery models and expanding the roles required from channel partners. Vendors are continually accelerating product and service updates—cited as multiple releases per year—which is shortening adoption cycles and pressuring MSPs to adapt at a speed not previously required. Primary evidence centers on the introduction of the “Frontier partner” concept, which refers to AI-first, outcome-driven service organizations moving beyond hours-for-dollars into models focused on deep technical co-development with clients. According to research referenced by Tiffani Bova, 85% of MSPs expect AI consulting to be a top growth driver. However, there is a documented gap between expectation and execution, with adoption lagging despite broad anticipation. The episode highlights that small businesses may adopt AI more quickly than large enterprises due to operational flexibility, but both MSPs and clients face substantial risk if internal skills, governance, and data practices do not keep pace. Supporting developments include ongoing commoditization of standardized IT support, as self-healing technologies and direct vendor intervention decrease the margins associated with legacy break-fix and support models. The episode also points to the increasing importance of data quality, governance, and sovereignty as core requirements for realizing value from AI tools. New operational hazards arise around energy consumption for compute, increased complexity from multi-vendor agent orchestration, and persistent risks linked to security governance as clients independently adopt AI solutions—sometimes beyond the reach of MSP controls. Operationally, these shifts increase vendor dependency and drive up the need for continual skills renewal within MSP organizations. Pricing for traditional services faces compression, placing more emphasis on adding value layers such as data orchestration, AI-driven workflow optimization, and governance consulting. Service providers are exposed to heightened contract risk when AI outcomes diverge from human oversight, and are required to implement new governance practices to manage data quality and security concerns. The key risk is that lagging adaptation could convert opportunity into obsolescence, particularly as both vendors and clients accelerate their pace of change. Supported by: ScalePadZero Networks 💼 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.
    Más Menos
    32 m
  • Network and Infrastructure Limits Force New Guardrails as AI Expands in MSP Operations

    Network and Infrastructure Limits Force New Guardrails as AI Expands in MSP Operations
    Apr 17 2026
    A structural shift is occurring as artificial intelligence transitions from being a tool for generating output to one that executes tasks across IT environments, significantly increasing the demand for robust governance and infrastructure controls. This mechanism is illustrated by the rapid integration of agentic automation into operational platforms, with vendors such as Kyndryl (Agentic Service Management) and SolarWinds (SW1) positioning their AI systems as operational teammates capable of autonomous action. Analysts from firms like Omnia and AvePoint highlight that the product focus is no longer the agent or AI capability itself, but the enforcement layer—encompassing identity management, permissions, logging, quota enforcement, tenant boundaries, and approval workflows. A consequential development is the increased operational burden on networks, as agentic automation increases background and automated traffic. According to Imperial's Bad Bot report, automated traffic now exceeds 51% of all internet activity. Analyst firm Omnia and Lumen CEO Kate Johnson stress that the capacity of underlying networks, and not just compute resources, is becoming a hard constraint for scaling AI-driven operations. For MSPs, this manifests as tangible increases in bandwidth contention, authentication events, and noise in security tooling, leading to resource constraints and increased pressure on triage and incident response. Complementary developments reinforce this shift. Enable is rolling out direct AI operational integration in N-Central and Insight through a custom context protocol, while OpenAI is updating its agents' SDK to include sandboxing and distribution harnesses for stricter boundaries. The New Stack underscores NIST’s recommendation for layered controls, least privilege, network segmentation, and tamper-resistant, replayable logging to contain the risks associated with agentic automation. Research cited by the AI Journal finds that governance and compliance, rather than technical skills, are currently the top barriers to reliable AI adoption among MSPs, driven by the complexity of multi-tenant environments and the requirement to prove control and recoverability. For MSPs and IT providers, these shifts introduce direct operational and contractual risks. Relying on default vendor models without explicit policy ownership or proof-of-execution effectively transfers liability without control. Practical considerations now require MSPs to define approval models, enforce least privilege, audit agent actions, establish recovery playbooks, forecast network and compute demand, and clarify quotas and overage terms in service contracts. Unbounded and unaudited automation is becoming a commercially unacceptable risk, comparable to operating critical systems without proper backups. 00:00 AI Tax: Networks 04:35 Scaffolding Over Models 07:45 Agents Eat Margins 10:05 Why Do We Care? Supported by: ScalePadTimezest 💼 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.
    Más Menos
    13 m
  • Rich Freeman on How VC-Backed AI MSPs Like Treeline Reshape Operator Labor Needs

    Rich Freeman on How VC-Backed AI MSPs Like Treeline Reshape Operator Labor Needs
    Apr 16 2026
    A structural shift is underway in the managed services sector as venture capital firms move beyond traditional software and vendor investments to fund MSPs directly. This change is exemplified by investments from firms like Andreessen Horowitz, General Catalyst, and Thrive Capital into MSP-specific companies such as Treeline, Titan, and SHIELD. The driving mechanism is the perceived profit potential at the intersection of advanced AI technology and service delivery, with investors targeting AI-native operational models rather than standard rollups or inorganic growth strategies. The episode’s primary evidence centers on Andreessen Horowitz’s $25 million investment in Treeline, marking its entry alongside previously funded firms Titan (with $74 million from General Catalyst) and SHIELD (over $200 million from Thrive and ZBS Partners). According to Speaker A, Treeline employs proprietary AI-driven service desk automation and reports resolving 98% of help desk requests with AI, altering the economics and labor requirements for traditional MSPs. Unlike rollups, Treeline is focused on organic growth, leveraging targeted acquisitions primarily for talent rather than client base expansion. Supporting developments include the parallel strategies of Titan and SHIELD, which also integrate Silicon Valley AI expertise and homegrown tooling to drive operational efficiency. While these companies currently deploy AI internally for service automation, Treeline distinguishes itself by offering customer-facing AI-powered MDR and compliance services immediately. All three firms reflect the shift towards vertically integrated models where software, service automation, and client-facing solutions are developed and deployed in-house, creating potential competitive pressure for both traditional MSPs and larger private equity-backed consolidators. Operationally, these developments introduce risks around increased pricing pressure, labor model disruption, and a potential skills gap for MSPs reliant on off-the-shelf tooling. The focus on organic growth and deliberate scaling by new entrants like Treeline signals that the transition for incumbents is not immediate, but the need for MSPs to evaluate their AI adoption strategy is acute. Relationships alone are unlikely to differentiate providers in the long term; practical safeguards must include closing operational efficiency gaps, building internal AI capability, and considering cooperative models to maintain autonomy while reducing risk of margin erosion or client loss. Supported by: Zero NetworksCometBackup 💼 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.
    Más Menos
    34 m
Todavía no hay opiniones