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Global channel sales in IT are projected to exceed $4 trillion this year, with two-thirds of total spending driven by partner-led deals, according to Omdia research. However, managed service providers (MSPs) continue to encounter significant integration failures following mergers and acquisitions, leading to operational inefficiencies and diminished client trust. The Business of Tech analysis highlights that stacking acquisitions without comprehensive integration amplifies risks, particularly affecting margins, service consistency, and accountability.
Supporting survey data from POPX indicates that 60% of UK MSPs report platform and data integration as critical hurdles post-acquisition, while 44% identify poor morale and lack of team alignment as sources of inefficiency. Notably, 38% experienced client disruption during transitional periods, signaling that rapid growth without sufficient operational coherence creates drag rather than leverage. These issues are compounded by rising technology budgets—nearly 75% of organizations expect increased IT spending—and intensifying reliance on AI and cloud services in MSP environments.
Additional stories addressed include the widespread adoption of unsanctioned "Shadow AI" tools in healthcare settings, with over 40% of workers aware of unapproved usage, and the increasing tendency for AI platforms to reference general sources like YouTube over traditional medical authorities. The episode further examines new AI-driven arbitration tools, platform consolidations within managed security, and the centralization of authority across purchasing and service delivery ecosystems. Vendor integrations, such as Synchro’s marketplace partnership with Ironscales and LevelBlue’s acquisition of AlertLogic’s unit, illustrate a shift away from component choices towards streamlined, but potentially opaque, accountability structures.
For MSPs and IT service leaders, the central takeaway is not the urgency to adopt new tools, but the necessity to clarify ownership, governance, and liability as technology platforms accelerate efficiency and centralize control. Failure to address integration fundamentals, define formal oversight for AI-driven decisions, and maintain transparency amid automation will expose service providers to unpriced risks and erode client trust. Sustained growth is contingent upon operational discipline, not just expanding portfolios.
Four things to know today
00:00 Channel Growth Accelerates While MSP Integration Failures Threaten Margins and Trust
03:58 New Research Shows Agentic AI Adoption Outpacing Governance and Workforce Readiness
07:25 AI Interfaces, Security Consolidation, and MSP Marketplaces Point to a Shift in Where Authority Lives
10:27 AAA’s AI Arbitrator Shows How Automation Changes Who Owns Decisions, Not Just How Fast They’re Made
This is the Business of Tech.
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AI adoption within organizations is increasingly polarized, with Gallup data cited showing that while 77% of technology professionals use AI at work, overall workplace adoption rose only marginally from 45% to 46% in late 2025. This stagnation is attributed not to employee reluctance, but to aggressive uptake by leadership without corresponding redesign of roles and workflows at lower organizational levels. In the UK, research presented notes an 8% net job loss tied to AI alongside a 11.5% productivity increase, with younger workers expressing heightened concern over future employment security.
Supporting analysis emphasizes that AI utilized only in decision-making circles can compress organizations, trading resilience for short-term efficiency. Dave Sobel cautions that celebrating productivity gains without acknowledging operational fragility introduces organizational brittleness, as headcount reductions outpace tangible capability improvements across all layers. The discussion underscores the risk in pitching AI as a leadership tool without regard for its broader impact.
Additional topics include the risks of encryption practices—specifically Microsoft’s BitLocker—and the limits of user control over recovery keys when stored in the cloud. Dave Sobel highlights governance failures when MSPs assume encryption equates to privacy without explicit decisions regarding key custody and authority, noting that silent trade-offs can expose organizations to privacy vulnerabilities. Furthermore, coverage of CISA’s absence from RSA conference outlines how diminished federal engagement increases liability and ambiguity for MSPs tasked with interpreting security policy. New video authentication features from Ring are examined as evidence of a broader shift where provenance and chain of custody outweigh convenience, directly affecting the evidentiary value of managed data.
The overarching implication for MSPs and IT providers is clear: risk, authority, and liability are being systematically reallocated within the supply chain and between vendors, government, and service providers. Operational preparedness now depends on explicit documentation, governance choices, and advance recognition of liability transfer. Failing to adapt—by leaving deployment decisions, key management, and evidentiary workflows unexamined—may result in organizational fragility, legal exposure, and loss of client trust.
Four things to know today
00:00 Stalled AI Adoption and UK Job Losses Show Productivity Gains Are Not Broadly Shared
04:06 BitLocker Encryption Allows Microsoft Access to Recovery Keys Stored in the Cloud
06:21 CISA Breaks From Past Practice, Declines RSA Conference Appearance
08:36 Ring Uses Cryptographic Seals to Verify Video Authenticity as Evidence Trust Becomes a Governance Issue
This is the Business of Tech.
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Global managed services contracts are experiencing reduced momentum as buyers display notable hesitation to commit to long-term agreements during a period defined by organizational pivots toward artificial intelligence. The Information Services Group reported only a 1.2% quarter-over-quarter increase in large managed services contracts in late 2025, totaling $10.9 billion, with full-year growth barely above 1%. While U.S. activity partially offsets contractions in EMEA and APAC, the prevailing environment is one of caution, shaped less by CIOs and more by business and finance leaders redirecting budgets to support internal AI initiatives and flexible operating arrangements.
The growth in technology distributor activity in North America highlights increased market fragmentation rather than expanded service levels. Omdia Tech Services data indicates distributor billings grew almost 15% in 2024, reaching $16.6 billion, with over 72% of transactions concentrated among six distributors. Most billings originated with technology advisors, and both value-added resellers and MSPs contributed smaller shares. This shift points to a market emphasizing flexible sourcing—with more intermediaries and shorter deals—but raises questions about MSP control, as authority and accountability can become diluted.
Intel’s latest financial disclosures reveal persistent supply and execution challenges in delivering AI infrastructure solutions. Despite exceeding earnings expectations, weak revenue forecasts and admission of supply constraints resulted in a 13% decrease in company stock. The vendor attributed its underperformance to capacity shortages and forecasting issues, underscoring the risks MSPs now face in hardware planning for AI deployments. Additionally, the commoditization of key offerings such as Microsoft 365 backup and the automation of technology review processes further compress execution margins, reducing traditional revenue sources for service providers.
For MSPs and IT leaders, these developments reinforce the need to reassess risk allocation, authority, and pricing models in client engagements. With execution becoming both cheaper and less differentiated, value must shift toward governance, outcome accountability, and explicit decision ownership. Delays or misjudgments related to hardware supply and service fulfillment present direct threats to project continuity and client satisfaction, emphasizing the importance of operational flexibility, active vendor management, and strategic repositioning of service offerings.
Three things to know today
00:00 As Managed Services Stall Globally, Distributor-Led IT Buying Gains Momentum
04:58 Intel Beats on Earnings but Misses on Confidence as AI Demand Outpaces Capacity
07:27 As Backup and Reviews Are Automated, MSP Differentiation Shifts from Execution to Decision Ownership
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This Business of Tech episode delves into the critical alignment of technology with how people work, emphasizing the strategic advantage for businesses, particularly those leveraging Apple ecosystems and remote teams. Rob Calvert, President of Second Son Consulting, highlights common misconceptions in IT, where decisions are often made in a vacuum without considering company culture or workflows. This disconnect leads to daily friction and hinders growth. Calvert shares an example of implementing zero-touch MDM, where the technological aspect is straightforward, but the real challenge lies in adapting workflows and company culture to accommodate remote hiring and device deployment timelines, ultimately enabling faster growth with less operational friction.
The discussion underscores the importance of integrating IT decisions with broader business objectives. Calvert explains that for small to mid-sized businesses, understanding and defining existing workflows is a crucial first step. His firm's process involves auditing technology platforms, establishing role-based standards for new hires, and documenting procedures for onboarding and offboarding. This systematic approach, exemplified by streamlining onboarding from hours to minutes, ensures that technology serves as an asset rather than an obstacle, optimizing efficiency and security.
Further insights are provided on security and compliance within Apple-centric environments, contrasting them with Microsoft-centric approaches. Key differences include procurement styles, the utilization of Apple Business Manager, and the implementation of non-removable MDM for enhanced security and control. The episode also touches on the growing impact of AI, with a focus on enabling local, on-device AI to address privacy concerns and accelerate business processes like proposal writing and research, while emphasizing the need for leadership to guide AI adoption and manage associated security implications.
For MSPs and IT service leaders, the episode offers actionable strategies for improving client IT infrastructure. It stresses the value of aligning technology with specific business workflows and company culture to reduce friction and boost productivity. The discussion on Apple-centric IT and AI adoption provides practical guidance on managing devices, implementing robust security measures, and leveraging new technologies responsibly. The emphasis on creating standardized, documented processes for onboarding and offboarding, while remaining flexible to client needs and potential risks, is a key takeaway for enhancing service delivery and client satisfaction.
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The episode centers on structural changes in the Managed Service Provider (MSP) mergers and acquisitions (M&A) landscape, with a focus on the increased influence of private equity (PE), platform strategies, and disciplined deal execution. Dave Sobel and Abraham Garver highlight that the primary driver for buyers has shifted from merely acquiring revenue to seeking operating models that support scale, standardization, and automation. Size of institutional funds directly shapes acquisition targets: funds with $500 million or more increasingly pursue MSPs with minimum EBITDA thresholds, commonly $3–5 million, with larger funds only able to transact at the $10–15 million EBITDA level or above. This signals a market separation, where smaller MSPs face heightened risk of being excluded from future platform opportunities.
Supporting these structural shifts, Abraham Garver explains that the buyers’ value assessment increasingly prioritizes new customer acquisition over one-off gains from cross-sales like cybersecurity add-ons. Organic growth, shown through the consistent addition of new client logos, outweighs temporary revenue boosts in determining valuation. The episode also outlines that AI investment and automation stories are not materially lifting valuations for smaller MSPs, unless directly reflected in improved financials. Larger providers may have the resources to invest meaningfully in AI, but for the majority—especially those below $10 million in revenue—outsourcing or leveraging third-party solutions is more practical than bespoke, high-cost internal development.
A further operational risk discussed is the prevalence of "retrading"—buyers renegotiating valuations post–Letter of Intent (LOI) based on due diligence findings. Abraham Garver reveals that 60% of transactions see price reductions after the LOI, often for factors such as recent customer losses or missed forecasts, diverging from initial headline multiples. This reality highlights the importance of diligent contract negotiation, clear documentation, and the value of experienced advisors to navigate buyer tactics. Rob Calvert contributes additional insight on workflow and technology alignment, emphasizing the role of standardized onboarding and offboarding processes in reducing both operational friction and security gaps.
For MSPs and IT service providers, the discussion clarifies several critical implications. First, with platform buyers seeking scale, only MSPs meeting explicit EBITDA and growth metrics will attract competitive offers; others should realistically assess the cost and likelihood of reinvention versus sale. Second, buyers’ focus on execution and organic growth, not headline multiples or claims of technological advancement, makes robust financial performance and client acquisition strategies essential to preserving value. Third, the commonality of post-LOI repricing underlines the need for rigorous pre-sale diligence, explicit contractual terms, and experienced representation to preserve deal value and protect against downside risk. Lastly, operational standardization—especially in device and data management—remains central to both platform attractiveness and risk mitigation.
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Anthropic’s disclosure of model drift within its Claude AI system highlights growing risks surrounding governance and ongoing alignment of artificial intelligence. The company has revised its guidelines using a “Constitutional AI” approach, aiming to instill reason-based behavior and ethical boundaries, and has openly acknowledged that an AI’s internal controls may shift unpredictably over time—a concern when models are deeply embedded in business workflows. This admission places attention on governance and accountability rather than just model safety, making clear that the AI a company tests may become materially different after extended deployment, especially as personalization increases.
Supporting these concerns, Anthropic’s research demonstrated that large language models—including those from Google and Meta—can experience personality drift, with unintended shifts in behavior due to instability of internal control mechanisms. Google’s updated AI offerings, tying personal data from Gmail and Photos to generative model responses, intensify challenges around data governance and organizational control. As vendors expand AI personalization and memory features, oversight gaps can emerge, raising questions about who retains authority over information, inference, and decision-making within automated systems.
Adjacent findings indicate that the anticipated productivity gains from AI have yet to reach most enterprises. According to surveys cited by Dave Sobel, over half of CEOs report failing to realize ROI from AI investments, while frontline employees describe AI integrations as sources of friction and additional workload rather than relief. In the MSP sector, widespread adoption of “agentic” AI and digital labor is delivering financial upside for some providers, but it is also shifting operational liabilities—especially as contracts and security architectures lag behind new workflow realities.
The core takeaway for MSPs and IT service providers is the necessity of reexamining control, authority, and contractual obligations in AI-enabled environments. Delegating tasks to automated agents increases exposure to unpriced and unmitigated risks if governance, liability, and monitoring mechanisms do not adapt accordingly. Effective harm reduction in this landscape requires treating workflows—not just models—as security perimeters, clarifying accountability for AI-driven actions, and ensuring that contractual and operational frameworks reflect these new sources of risk.
00:00 AI Governance Moves Center Stage as Models Drift and Personalization Deepen
05:08 AI Boosts Executive Productivity While Frontline ROI and Employee Experience Lag
07:51 AI Exposes the Real Divide: Governance Failures vs. Effective Oversight in Government Systems
10:39 MSPs Chase AI-Driven Margins, but Workflow Security and Liability Define the Real Risk
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Escalating distrust in identity systems and misuse of AI are forcing a shift in security accountability for small and midsize businesses. Recent analysis highlights that the prevalence of deepfake-driven business email compromise and non-human digital identities is eroding confidence in traditional protective solutions. According to Techyle and supporting reports referenced by Dave Sobel, the ratio of non-human to human identities in organizations is now 144:1, further complicating authority and responsibility for managed service providers (MSPs). As trust in exclusive third-party control disintegrates, co-managed security models are becoming standard, repositioning decision-making and liability.
The rise of AI-generated data—described as “AI slop”—has prompted increased adoption of zero trust models, with 84% of CIOs reportedly increasing funding for generative AI initiatives. However, as rogue AI agents are recognized as a significant insider threat, current security services are often ill-equipped to manage these new vulnerabilities. Regulatory bodies, including CISA, have issued guidance noting that the integration of AI into critical infrastructure introduces greater risk of outages and security breaches, particularly when governance remains ambiguous. High-profile vulnerabilities in open-source AI platforms used within cloud environments further highlight the persistence of operational risks.
Adjacent technology updates include new releases from vendors such as 1Password, WatchGuard, JumpCloud, and ControlUp. These offerings focus on enhancing phishing prevention, expanding managed detection and response, and automating endpoint management for MSPs. However, Dave Sobel emphasizes that these tools introduce additional layers of automation and integration without adequately clarifying who ultimately holds authority and accountability when failures or breaches occur. There is a consistent warning that stacking solutions or outsourcing core functions without redefining operational control creates gaps between action and oversight.
For MSPs and IT leaders, the key takeaway is that security risk is no longer defined by missing technology but by unclear governance, undefined authority, and misaligned incentives. Without explicit contractual and operational delineation of responsibility when deploying AI and automation, service providers are increasingly exposed to liability by default. The advice is to move beyond tool-centric strategies and focus on process clarity: define who authorizes, audits, and terminates non-human identities; establish which parties approve automation actions; and ensure clients understand shared responsibilities to mitigate silent risk accumulation.
Four things to know today
00:00 TechAisle Warns SMB Security Will Shift in 2026 as Identity Attacks and AI Agents Redefine Risk
05:44 AI Moves Deeper Into Critical Infrastructure as Open-Source and Human Weaknesses Expand the Attack Surface
09:35 MSP Security Platforms Automate Phishing Prevention and MDR—Outpacing Governance and Control Models
12:12 AI-Powered MSP Tools Promise Control and Efficiency, But Shift Responsibility by Default
This is the Business of Tech.
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PC spending has seen a significant rebound, with Gartner reporting a 9.3% rise in worldwide PC shipments in late 2025, primarily driven by corporate IT upgrades to meet Windows 11 requirements. This recovery, which saw 10.1% growth in Q4 2025 according to Omnia data, highlights a shift from consumer-led demand to necessity-driven upgrades. Despite supply chain challenges in memory and storage, leading to cost increases, 57% of B2B partners anticipate growth in their PC business, underscoring a sustained demand for hardware management and support among MSPs.
Concurrently, worldwide spending on artificial intelligence is projected to reach approximately $2.5 trillion by 2026, a 44% increase from the previous year, according to Gartner. This surge is fueled by substantial investments in AI infrastructure, which is expected to account for $1.37 trillion of the total spending. John David Lovelock of Gartner emphasizes that AI adoption success hinges not only on financial investment but also on organizational maturity and self-awareness, suggesting that the value derived from this investment is not yet as certain as the spending itself. For MSPs, this indicates a growing need to navigate the complexities of AI infrastructure deployment and demonstrate tangible value to clients.
In the realm of managed services, recent strategic moves by several companies signal an evolving MSP landscape. Corsica Technologies announced 105% year-over-year growth in managed services bookings for 2025 and expanded its portfolio through acquisition, aiming for consolidation and integrated offerings. Net at Work nearly doubled its managed services division size by acquiring a regional competitor, prioritizing scale. Rhubarb IT, spun out from Mac Center, is focusing on a niche Apple-focused IT managed services model, aiming for differentiation. These expansions highlight varying strategies—consolidation, scale, and specialization—that MSPs must consider when evaluating market opportunities and competitive positioning.
The implications for MSPs are multi-faceted. The PC market's recovery emphasizes the continued importance of hardware lifecycle management and support services. The explosive growth in AI spending necessitates careful evaluation of infrastructure versus value, with potential risks for organizations rushing capacity purchases without clear demand justification. Furthermore, the diverse expansion strategies among MSPs underscore the need for clear operational, contractual, and financial planning to manage integration, delivery consistency, and customer expectations. The appointment of Rob Rae as a strategic advisor to Guards highlights the critical need for transparency in vendor relationships, particularly concerning incentives, as undisclosed financial arrangements can introduce bias and risk for MSPs who rely on objective evaluation of technologies and partners.
Four things to know today
00:00 PC Spending Reflects Operational Necessity While AI Spending Bets on Unproven Demand
03:57 OpenAI Promises to Offset Energy and Water Impact as AI Infrastructure Outpaces Regulation
05:45 MSP Growth Paths Diverge as Corsica, Net at Work, and Rhubarb IT Make Different Strategic Bets
09:09 Guardz’s Rob Rae Advisory Appointment Raises Transparency and Governance Questions for MSPs
This is the Business of Tech.
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OpenAI is introducing advertisements into ChatGPT for free and ChatGPT Go users, aiming to fund artificial general intelligence development. These ads will be clearly labeled and separate from AI responses, with OpenAI stating user conversations will remain private and data will not be sold. Ads will be excluded from sensitive topics. Users can avoid ads by upgrading to a paid subscription, such as the new $8/month ChatGPT Go tier, which offers increased limits and access to the latest model but also features advertisements. This move signifies a monetization strategy, with OpenAI reporting significant revenue growth for ChatGPT.
The broader impact of AI on jobs is also discussed, with data suggesting job losses attributed to AI may be overstated. While some roles are affected, particularly entry-level positions, the overall employment impact appears limited. Reports indicate that AI is often used as a justification for layoffs driven by economic factors or overhiring, rather than being the sole cause. The analysis highlights that AI's productivity gains are currently modest, requiring substantial increases to drive large-scale job replacement. However, the International Monetary Fund estimates nearly 40% of global jobs are at risk due to AI, with a growing demand for new skills that offer a wage premium.
Automation and platform integrations are accelerating, with ConnectWise acquiring ZofIQ to automate service desk operations within its PSA workflow. D&H is expanding its logistics capabilities by acquiring fulfillment.com, enhancing its supply chain services. Microsoft MVPs are collaborating to showcase free Intune management tools to help organizations manage their Intune environments more effectively. These developments indicate a trend towards deeper platform integration and automation within IT service delivery and logistics.
For MSPs and IT service providers, these developments highlight several critical considerations. The introduction of ads in AI tools like ChatGPT raises questions about trust and governance, particularly when these tools are integrated into client-facing workflows. The slowdown in hiring, especially for junior roles, underscores the need for strategic talent development to avoid future capacity gaps. Furthermore, the increasing automation within platforms and services, while offering efficiency, necessitates careful management of counterparty risk, clear contractual definitions of authority, and redefined pricing models to account for shifting liability and decision-making. Vendors retreating from emerging technologies like Meta's VR business also underscore the importance of diligent vendor selection and managing the credibility cost associated with adopted technologies.
Four things to know today
00:00 Jobless Claims Fall as Small Businesses Pull Back on Hiring, Especially Entry-Level Roles
05:45 OpenAI Adds Ads to ChatGPT as It Scales Revenue, Expands Go Tier, and Deepens Enterprise and SMB Adoption
09:17 Automation Moves From Tools to Authority as ConnectWise, D&H, and Intune Ecosystems Shift Control—and Risk
13:05 Meta’s Retreat from Business VR Leaves MSPs Managing Cleanup, Data Deletion, and Client Expectations
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The discussion highlights the limitations of traditional cybersecurity training methods, emphasizing that a psychology-informed approach with positive reinforcement is crucial for developing genuine cyber literacy within organizations. Traditional "gotcha" tactics, such as fake phishing tests, are shown to be ineffective and can even lead to increased clicks, according to research from the University of Zurich and Black Hat. This approach risks creating a false sense of security without genuinely improving user behavior.
Craig Taylor, CEO of Cyberhoot, advocates for a positive reinforcement model rooted in operant conditioning principles, where rewarded behaviors are repeated and internalized. This strategy is implemented through gamified modules, such as interactive "Hootfish" exercises that guide users in identifying threats with in-moment assistance. Progress is tracked via avatars that mature with learning, and an anonymous company leaderboard encourages engagement, particularly motivating management to complete assignments. These elements aim to foster intrinsic motivation for security best practices rather than relying on external pressure or punishment.
The conversation also delves into the challenges of measuring security progress, noting that traditional phishing tests often fail to capture a complete picture of an organization's security posture, particularly with C-suite employees who may not engage with such tests. The episode touches upon the complexities of evolving cybersecurity threats, including AI-powered personalized attacks, and the inherent difficulties in relying solely on human training against sophisticated adversaries. Furthermore, the discussion addresses the lack of accountability for cybersecurity vendors with faulty software, contrasting it with product liability in other industries, and the debate around the absence of consistent federal regulations for AI and data privacy in the US compared to Europe's GDPR.
For MSPs and IT service leaders, this episode underscores the need to adopt more effective, psychology-driven security awareness programs that focus on positive reinforcement and intrinsic motivation. It highlights the limitations of purely technical or punitive cybersecurity measures and emphasizes the importance of a comprehensive strategy that combines user education with robust technical defenses. The discussion also serves as a reminder for MSPs to critically evaluate vendor security practices and to advocate for stronger accountability and clearer regulatory frameworks to protect client data and services.
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