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<div style="display: none; max-height: 0px; overflow: hidden;">Microsoft 365 E7 is Microsoft's first new enterprise tier in over a decade. It bundles Copilot, Agent 365 governance, and Copilot Cowork </div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fwhitepapers%2Fstate-of-ai/1/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/ed0FPx4J0mMZXjNHxNt5cGAw8ibTFJOswXJ5znaiptE=448"><img src="https://images.tldr.tech/atlassian.png" valign="middle" style="vertical-align: middle !important; height: 100%;" alt="Atlassian"></a></td></tr></tbody></table>
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<h1><strong>TLDR IT <span id="date">2026-03-10</span></strong></h1>
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<strong>Almost Every Service Team Uses AI Now. Most Can't Prove It Works (Sponsor)</strong>
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In Atlassian's <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fwhitepapers%2Fstate-of-ai/3/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/eWoEeD_3W8SUgAS1HHubImDod-A5kwYLFvGb-NtjPAw=448" rel="noopener noreferrer nofollow" target="_blank"><span>2025 State of AI in Service Management Report</span></a>, 98% of organizations say they're using AI in their service workflows — up 10 points from last year. But here's the problem: teams still can't measure ROI, and the bills are getting bigger.
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<p>The report <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fwhitepapers%2Fstate-of-ai/4/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/D0M6yc5dxfgc1rrjY85M9FlxVQMhsixr2jPAL5I8xps=448" rel="noopener noreferrer nofollow" target="_blank"><span>surveyed 500+ senior pros </span></a>across IT Ops, HR, R&D, Customer Service, and Business teams to benchmark where organizations actually stand. It covers:</p>
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<li>AI adoption maturity stages</li>
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<li>What's holding teams back from scaling further</li>
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<p>Worth a read if you're trying to figure out where your org fits. <a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.atlassian.com%2Fwhitepapers%2Fstate-of-ai/5/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/BcJsY6-9Oq6YlvGfko_iUw0PeH77Lky5FrnAH5oX1H8=448" rel="noopener noreferrer nofollow" target="_blank"><span>Get your free copy</span></a>
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<strong>Microsoft Unveils M365 E7: The "AI-Native" License is Here (4 minute read)</strong>
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Microsoft 365 E7 is Microsoft's first new enterprise tier in over a decade. The $99/user/month license bundles Copilot, Agent 365 governance, and Copilot Cowork — a multi-agent orchestration layer powered in part by Anthropic technology. The move signals Microsoft's push toward agentic workflows becoming the default operating model for knowledge workers, forcing SaaS and AI teams to prepare for an agent-first workplace ecosystem.
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<strong>Datadog Launches MCP Server to Connect AI Agents to Live Observability Data (3 minute read)</strong>
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Datadog announced a new MCP Server that allows AI agents to securely access real-time observability data such as logs, metrics, and traces. The move reflects a growing enterprise need to give AI systems controlled access to operational telemetry so they can troubleshoot systems, automate remediation, and operate infrastructure workflows autonomously. For IT and platform teams, it signals the next evolution of observability: from dashboards for humans to data pipelines for AI agents.
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<h1><strong>Analysis & Opinions</strong></h1>
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<strong>The CIO as "Energy Strategist": Why Power is the New Cloud (5 minute read)</strong>
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With high-density AI clusters pushing rack cooling to its limits, the most successful CIOs in 2026 are those taking control of their own power via on-site microgrids. It's a wake-up call for IT Infrastructure teams to look past the virtual layer and start partnering with facilities and energy providers to guarantee AI-ready uptime.
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<strong>Enterprises are writing much larger checks for AI infrastructure, but ROI is still fuzzy (3 minute read)</strong>
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Enterprise AI spend is getting very large very quickly, even as many companies still struggle to focus on where value will actually come from. That tension - huge infra budgets, uncertain returns - is probably the single most important strategic issue in IT right now.
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<h1><strong>Launches & Partnerships</strong></h1>
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<table align="center" border="0" cellpadding="0" cellspacing="0" width="100%"><tbody><tr><td class="container" style="padding: 15px 15px;"> <div class="text-block"><span><a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fdanni763618.typeform.com%2Fto%2FCm8yodB5/1/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/_u6YalbvNl7PeCMITmHMgIjSg67rZRO_Erg5bgwhhEk=448"><span><strong>TLDR IT Reader Survey (TLDR Survey)</strong></span></a><br><br><span style="font-family: ;">How can we improve TLDR IT? We'd really appreciate it if you could fill out this three question survey to give us a bit of feedback!</span></span></div> </td></tr></tbody></table>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Ftechcrunch.com%2F2026%2F03%2F09%2Fanthropic-launches-code-review-tool-to-check-flood-of-ai-generated-code%2F%3Futm_source=tldrit/1/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/wy63CKgpMqzIAVjGAdWxTfSLJZHApjcDhMKlghlu5tk=448">
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<strong>Anthropic Adds AI Code Review to Claude Code (3 minute read)</strong>
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Anthropic is bringing automated code review into Claude Code with a multi-agent system that scans pull requests for logic bugs and leaves feedback directly on GitHub. The launch shows where AI coding tools are heading next: not just generating more code, but helping teams control the quality and risk that comes with it.
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<strong>OpenAI Acquires Promptfoo to Strengthen Enterprise AI Security (4 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
OpenAI is acquiring Promptfoo, a startup focused on testing and securing large language models against vulnerabilities like prompt injection and data leakage. The technology will be integrated into OpenAI's enterprise platform to provide automated red-teaming, security testing, and compliance monitoring for AI agents, signaling that AI security tooling is becoming a core part of enterprise AI deployments.
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.cvshealth.com%2Fnews%2Fcompany-news%2Fcvs-health-and-google-cloud-announce-new-strategic-partnership.html%3Futm_source=tldrit/1/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/RJpwlmQGIJbfwe1UMcl_48AYX-ZBKZWdQmQszsbf4lk=448">
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<strong>CVS Health and Google Cloud announce a new strategic partnership (5 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
CVS Health is partnering with Google Cloud to improve consumer engagement and experiences. Even though the announcement is healthcare-specific, it fits a wider enterprise pattern: big companies are moving cloud and AI projects closer to customer-facing operations rather than keeping them as internal experiments.
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<div style="text-align: center;"><strong><h1>Miscellaneous</h1></strong></div>
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<a href="https://tracking.tldrnewsletter.com/CL0/https:%2F%2Fwww.forrester.com%2Fblogs%2Fwhen-code-is-free-whats-left-to-sell%2F%3Futm_source=tldrit/1/0100019cd7beb92d-43bf5f8c-9945-4e1c-9e95-672626d2b082-000000/0L_SGY9QWftCef7Cv-vgFYNWxl5nDrVZSGI1WsL2AFc=448">
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<strong>When Code Is Free, What's Left to Sell? (6 minute read)</strong>
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<span style="font-family: "Helvetica Neue", Helvetica, Arial, Verdana, sans-serif;">
AI is collapsing the cost of building software, which means the harder problem now is process clarity, judgment, and control, not code generation itself. For IT leaders, the message is clear: the apps most at risk are lightweight workflow tools, while the winners will be platforms that embed real domain expertise and governance.
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<strong>Only 7% of Enterprises Say their Data is Fully Ready for AI (3 minute read)</strong>
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Just 7% of enterprises believe their data is completely ready for AI, while 73% struggle with data preparation. That is basically the whole enterprise AI story in one stat: the bottleneck is still messy, fragmented, weakly governed data.
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<strong>NVIDIA says enterprise AI is moving from pilots to scaled deployment (8 minute read)</strong>
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NVIDIA's new state-of-AI writeup says organizations are shifting out of the assessment phase and into broader production use. That matters for IT because scaling AI usually means more spend on infrastructure, governance, observability, and security, not just more model access.
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<h1><strong>Quick Links</strong></h1>
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<strong>CIOs say AI adoption is moving faster than they can manage (3 minute read)</strong>
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Senior tech leaders told researchers that AI rollout pressure is outrunning risk management and continuity planning.
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<strong>CIOs cut IT corners to manufacture budget for AI (13 minute read)</strong>
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CIOs are reallocating budgets by delaying infrastructure refreshes and consolidating vendors to fund AI.
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<strong>How AI Assistants are Moving the Security Goalposts (7 minute read)</strong>
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Autonomous AI agents like OpenClaw introduce severe security risks through misconfigured interfaces and prompt injection.
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