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Kaseya's latest 2026 MSP industry report indicates that managed service providers (MSPs) are facing multiple pressures, including difficulties in customer acquisition, shrinking contract sizes, and talent shortages. Nearly three-quarters of respondents believe winning new customers is the biggest obstacle, while AI and automation have surpassed security and backup to become the most demanded services by customers. The report emphasizes that in a mature market, success depends on simplifying technology stacks, intelligent automation, and converting high-demand needs into profitable service models.
Salesforce on Tuesday launched its integrated AgentExchange marketplace, merging AppExchange and Slack marketplace with the AI agent marketplace, and announced a $50 million investment for partner incentives and technical support. This move aims to drive enterprise adoption of AI agents and address investor concerns about the software industry's outlook.
The latest report indicates that investment in agentic AI within software development is surging, yet cost and integration challenges are significant. Half of the teams list it as a top annual investment priority, and 84% expect it to become the dominant investment within three years, but the actual widespread adoption rate is only 12%.
AWS announced on Thursday the preview release of Agent Registry, a centralized platform for hosting, building, and governing AI agents across frameworks and designs. The service, available through the AWS Bedrock AgentCore console and in five compute regions, is designed to solve problems of insufficient visibility, weak governance, and tool duplication that enterprises face when scaling AI agent deployments.
Enterprise AI adoption is accelerating, and risks are rising accordingly. Gartner data shows that generative AI spending will increase by nearly 40% this year. Traditional governance models struggle to cope with non-deterministic AI architectures. CIOs need to adopt an architecture-first strategy, treating governance as a foundational technical requirement, and integrate six types of technical controls including guardrails, observability, traceability, centralized gateways, AI catalogs, and wrappers, while combining frameworks such as the NIST AI RMF, EU AI Act, and ISO/IEC 42001 to achieve responsible AI.
Ahold Delhaize USA confirmed on Thursday the launch of the employee app ADUSA Connect, which provides curated news, organizational links, and internal social features to enhance communication and collaboration. The app is currently limited to Ahold Delhaize USA Services employees.
As the telecom and AI markets become increasingly complex, traditional distributor models face challenges. Companies such as World Wide Technology and Technologent are establishing agent businesses, partnering with technical service distributors on a commission basis to serve customers more flexibly and expand their market reach.
At the RSA Conference 2026 held last week, mainstream cybersecurity vendors launched a dense array of new products, but channel partners responded coolly. Affected by tool proliferation, rising costs, and reduced vendor support, some MSPs and MSSPs are reassessing their vendor portfolios, and some are even attempting to use AI coding tools to develop their own MDR, EDR, and XDR capabilities. Meanwhile, the boundary between MSPs and MSSPs is increasingly blurred due to changing customer demands.
SAP announced it will acquire master data management vendor Reltio to integrate SAP and non-SAP data, enhancing data quality and usability for AI applications. The transaction is expected to close in the second or third quarter of this year, with Reltio's products offered as standalone tools or bundled with SAP products.
As enterprise agentic AI reaches a tipping point, more than half of technology leaders expect to remove humans from decision loops within a year. However, ungoverned AI can lead to issues such as hallucinations and inappropriate outputs. Anisha Vaswani, Chief Information and Customer Officer at Extreme Networks, writes that CIOs need to place AI guardrails on par with the technology itself, using strategies such as observability, security governance, and human-in-the-loop to ensure system safety while pursuing rapid ROI. The article emphasizes that cross-departmental collaboration and employee AI literacy are two pillars for the effective implementation of guardrails.