Mark Runyon
@aspprogrammer
AI Strategist & Enablement Architect | Helping teams turn AI into everyday impact. Culture change, productivity, and responsible adoption.
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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…
hbr.org
Leaders Assume Employees Are Excited About AI. They’re Wrong.
A new survey reveals a striking perception gap: Executives believe their workforce is informed and enthusiastic about AI, while most employees report confusion, anxiety, and limited involvement in...
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-…
ukstories.microsoft.com
Rise in ‘Shadow AI’ tools raising security concerns for UK
New Microsoft research reveals that 71% of UK employees have used unapproved consumer AI tools at work, and 51% continue to do so every week, raising concerns of a growing risk to the privacy and...
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
Stop treating AI like a crystal ball. Start treating it like an eager, smart junior associate. Vague asks = vague results Set context, define goals, share examples. That’s where the magic happens. #GenerativeAI #AIProductivity #PromptEngineering
"Almost all of the AI models showed a preference to escalate aggressively, use firepower indiscriminately and turn crises into shooting wars even to the point of launching nuclear weapons." #AIWarGames #LLM #NuclearWar #AIArmsRace #SafeAI politico.com/news/magazine/…
AI IDEs can’t code in a vacuum. Oversight, clear requirements, and real code understanding are essential—clean code means nothing if the logic is broken. #AI #Coding #CodeReview #CleanCode #DevHumor #SoftwareEngineering
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