Mark Runyon

Microsoft is overhauling its certification landscape. Six exams retiring in 2026, nine new ones launching. AI-102, AI-900, AZ-204, AZ-500, DP-100 all going away by July 31. Replacements are already in beta or coming soon. #Microsoft #Azure techcommunity.microsoft.com/blog/skills-hu…

97% of tech execs say autonomous AI is essential, but 45% had a data breach last year from unauthorized AI tools. We're building fast and governing slow. The gap between adoption and oversight is now a real business risk. #AIGovernance #AIAdoption ey.com/en_us/newsroom…

Copilot Cowork drops later this month. We're moving from AI that answers questions to AI that executes work across your emails, files, and calendar, with checkpoints. Built on Anthropic's Claude. Inside your M365. #Copilot #AIAgents #Microsoft365 microsoft.com/en-us/microsof…

Execs think employees are excited about AI. Data says otherwise. 96% of execs feel positive about AI. For individual contributors, that drops to 63%. The gap isn’t technical. It’s emotional. Solve it with transparency, co-design, and real upskilling. hbr.org/2025/11/leader…

AI adoption is exploding (93%), but real AI governance? Just 7%. If you’re scaling AI without clear guardrails, you’re not innovating; you’re gambling. Responsible AI needs to be a business capability, not an afterthought. #AIGovernance #ResponsibleAI #DigitalTransformation

Huang telling employees to use AI for every possible task is a masterclass in culture change: Normalize AI. Expect it. Practice with it. Adoption doesn’t scale from pilots. It scales from daily habits. finance.yahoo.com/news/nvidia-ce… #AIAdoption #AIEnablement #DigitalTransformation

Microsoft reports 71% of employees use unsanctioned AI at work. That’s not a threat. It’s a signal. Employees want AI. The enterprise hasn't met them there yet. Govern it, or Shadow AI will govern itself. #AI #Cybersecurity ukstories.microsoft.com/features/rise-…

Most AI rollouts fail because nobody defines what “good usage” looks like at the role level. Without clarity, employees default to doing nothing. #AIAdoption #FutureOfWork

Too many orgs assume AI equals efficiency and leap in, but if you ignore what people actually add, you risk losing value instead of gaining it. That’s the doorman fallacy in action. theconversation.com/the-doorman-fa… #AI #Leadership #DigitalTransformation #AIAdoption #FutureOfWork

GenAI isn’t magic. It’s just extremely good at a few things: Summarizing & synthesizing information Drafting & structuring content Explaining complex ideas in plain language Automating repetitive thinking work Start here before you chase exotic use cases. #GenAI #AIUseCases

“AI gives us speed. Talent gives us empathy.” Executives aren’t blaming failed AI pilots on the tech. They’re blaming slow execution, bad data, and weak strategy. AI works when people + process do. technologyreview.com/2025/10/28/112… #AI #Leadership #AIDriven

Want to level up your prompt engineering skills? Vanderbilt’s Prompt Engineering for ChatGPT course on Coursera can be audited for free. No paywall to access this quality content. Great way to sharpen your GenAI fundamentals coursera.org/learn/prompt-e…

Don’t treat AI’s first answer as “the answer.” Treat it as draft 0. Iterate: – “Rewrite more concisely.” – “Make the tone friendlier.” – “Show your sources or say ‘I don’t know.’” Iteration + healthy skepticism = your best defense against hallucinations. #ResponsibleAI

Two power moves when prompting AI: Give it a role. “Act as a communication specialist for a non-technical audience.” Ask it to ask you questions “Before answering, ask any questions necessary to clarify my goal.” You’ll get fewer generic answers and more on-target ones.

One of the easiest AI upgrades: be picky about the output. Try prompts like: – “Summarize as 5 bullet points with bolded action items.” – “Give me a 1-paragraph summary + 3 risks + 3 next steps.” Format ≈ free structure #GenerativeAI #PromptDesign #WorkSmarter

AI “power users” aren’t lucky, they’re disciplined. They treat AI as a second brain: refining prompts, giving feedback, and using it to think better, not just faster. That’s what sets them apart. #AI #Productivity #ChatGPT #FutureOfWork wsj.com/tech/ai/these-…

Level up your #Data & #AI career with Microsoft Fabric Data Days! Free learning series Live + on-demand sessions Free certification exam vouchers for DP-600 & DP-700 Join the 50-day journey: aka.ms/fabricdatadays #MicrosoftFabric #Certification #PowerBI

Most AI fails are really prompting fails. Before you ask for help, set the scene: – Who are you? (role) – What are you doing? (task) – Who is it for? (audience) Example: You’re a project manager. Help me summarize these meeting notes for execs. #PromptEngineering #Productivity

AI as Thought Partner, Not Replacement Bad framing: “Will AI replace me?” Better framing: “What parts of my workflow should AI augment?” AI should: Expand your thinking Speed up drafts Automate repetitive mental work You still own the decisions. #AIAdoption #WorkSmarter

With AI, your role doesn’t shrink. It sharpens. You are the thought leader AI is the thought partner Let AI do the heavy lifting so you can focus on judgment, nuance, and strategy. Ask yourself: “How can AI help me do this?” #AILeadership #KnowledgeWork #FutureOfWork