I got a faster treadmill. Last Friday I hit a wall mid-afternoon: generating output, skimming AI responses, missing errors I'd have caught an hour earlier. My RAM was full. I closed the laptop and we…

8045910 viral

Workplace AI16 days ago

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"97% adoption rates mean almost nothing,” That's what Zapier's chief people officer Brandon Sammut said about hitting the high water mark in AI adoption. They're not alone: it was a recurring theme…

951556 viral

AI Adoption15 days ago

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HR has needed to be a strategic partner for decades. AI will force the conversion, one way or another. My new column in MIT Sloan Management Review has a simple but uncomfortable argument: the window…

841756 viral

AI in HR9 days ago

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AI transformation is a team sport. Most organizations are playing singles. In an hour I'm on the Transform stage with 4,000 HR and tech leaders making that case, and I wrote it up in a new Charter co…

752636 viral

AI Transformation10 days ago

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Let's talk about people, not just about AI. This year's Transform theme is "the Human + AI Equation" If we want that equation to come out positive, we need to invest in learning and experimentation.…

133905 viral

Future of Work16 days ago

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10 lessons on leadership in AI transformation. The most essential? Trust. Jon Levy and Van Jones made the case plainly during the Transform kickoff: increased pressure, decreased connection, and mass…

951535 viral

AI Transformation7 days ago

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Topics & Content Focus

Primary Topics

AI transformation in HR/People Ops as an operating-model shift (from programs to performance)Team-level AI adoption playbooks (champions, working agreements, workflow integration)Trust-centered leadership and change management under uncertainty in AI rolloutsMeasuring “real AI progress” (performance/ROI/quality vs adoption vanity metrics)Cognitive load, oversight risk, and manager-as-coach patterns (the human cost of AI acceleration)

Secondary Themes

HR strategic maturity and capability building (strategic thinking, data discipline, experience design)Data readiness as a prerequisite for AI (knowledge base consistency, governance)Manager enablement as the leverage point (coaching, role modeling breaks, oversight design)Hiring and talent signals (AI fluency as a bar, goal-setting mandates)Conference-to-column synthesis (Transform as a narrative engine)

Industry Focus

Enterprise HR leadership (CHRO/People teams) navigating workplace AI adoptionHR technology and future-of-work strategy at large companies and high-growth SaaSB2B management/leadership media and practitioner communities (forums, conferences, newsletters)

Content Categories

Practitioner frameworks and implementation playbooksResearch-backed thought leadership (stats + citations + named experts)Event-driven field reporting (conference panels, forums, backstage insights)Executive advisory content (what to do Monday morning for leaders/managers)Personal signal stories used to humanize a systems-level point

Performance Insights

100.3%

Avg Engagement Rate

STABLE

Performance Trend

Best Performing Topics

Cognitive overload/‘AI brain fry’ and retention-risk implicationsVanity-metric takedowns (adoption ≠ impact) with alternative measurement guidanceTeam-based adoption mechanisms (champions, working agreements, manager involvement)

Virality Signals

Coining/spotlighting a sticky term (“AI brain fry”) that readers can self-diagnose and shareContrarian one-liners that travel well (“adoption is a proxy, not a destination”)Credibility stacking (BCG/SHRM/Microsoft + practitioner quotes) that reduces perceived risk of sharingActionable managerial prescriptions (caps, coaching, working agreements) that invite ‘we tried X’ repliesEvent timeliness and social proof (Transform stage, forum synthesis, recognizable company logos)

Structure & Quality

280

Avg Length (Words)

HIGH

Depth Level

ADVANCED

Expertise Level

0.82/10

Uniqueness Score

Common Hooks

Contrarian/deflation hook that attacks a common metric or belief (e.g., adoption rates, program obsession)Punchy thesis line framed as a redefinition (e.g., the ‘real unit’ of change is the team)Provocative quote or stat upfront to create authority and tensionPersonal micro-story as an entry point into a broader organizational patternTime-bounded urgency framing (a closing window / forced conversion)

Common Endings

Direct question to elicit experiences and benchmarks from practitioners“Link in comments” to move readers to the long-form column/newsletterInvitation to share metrics, moments, or what’s working inside the org

Value Delivery Methods

Operational frameworks (what to measure, where to intervene, how to structure adoption)Translation layer between research findings and day-to-day leadership decisionsField-tested case snippets from recognizable operators (CPO/CHRO-level voices)Clear diagnostic reframes (team vs individual, performance vs adoption, experience vs programs)

Formatting Style

Long-form LinkedIn essay with short paragraphs for scanabilityBullet-led frameworks (🔸/🔹) with crisp imperativesDense attribution: named leaders, companies, and research sourcesEmbedded quotable lines designed for re-sharingHashtag anchoring to event/theme (#Transform2026 #AI #HR)

Audience & Tone

YES

Question Usage

0.2%

Response Rate

Detected Tone

Operator-journalist hybrid (reported insight + prescriptive guidance)Evidence-forward and executive-addressed (CHRO/CPO/manager audience)Smart-casual authority (human anecdotes + rigorous citations)Constructively urgent (window closing, risks rising, practical moves available)semi-formalfirst-person

Interaction Style

Practitioner benchmarking (asking for metrics, what’s working, what’s failing)Debate prompts framed around identity and urgency (HR’s strategic moment)Collective sensemaking around new norms (manager role, AI fluency bar, oversight load)Community signaling through event participation and named-peer validation

Community Building Signals

Repeated anchoring to a shared tentpole event/community (Transform + Charter Forum)Public gratitude and naming to reinforce network cohesion and reciprocityConsistent cross-channel loop (LinkedIn post → column/newsletter → comments discussion)

Writing Style Patterns

Content Strategy

Hook: Contrarian/deflation hook that attacks a common metric or beTone: semi-formalCTA: Discussion CTA (diagnostic question: what are you

Writing style breakdown

AI transformation is failing because we're treating it like a software update. It's actually a biology project.

I spent the last week talking to leaders at the Charter Forum, and the consensus was clear: you can't just 'install' AI and expect productivity to bloom. You have to prepare the soil.

As Eric Severson put it: "The tech is ready. The humans aren't."

Here is what the leaders who are actually seeing ROI are doing differently

🔸 Stop measuring 'usage' and start measuring 'integration.' High adoption rates are a vanity metric if people are just using AI to write more emails. The goal is changing the workflow, not increasing the volume.

🔸 Build 'AI Working Agreements' at the team level. Atlassian found that when teams explicitly decide *how* they will use AI together, alignment jumps by 82%. Don't leave it to individual chance.

🔸 Focus on 'AI Fluency' as a leadership requirement. It's not about knowing how to code; it's about knowing how to direct. As one CIO told me: "The manager of the future is an editor, not a creator."

The companies winning aren't the ones with the biggest compute budget. They're the ones with the highest trust.

👉 I've broken down the full framework in my latest column, linked in comments! 📎

What's the biggest 'human' barrier to AI you're seeing in your org right now?

#AI #Leadership #FutureOfWork #Transformation

Brian Elliott

Warm Analysis

Performance Overview

Top Posts by Engagement

Posting Patterns & Frequency

Best Performing Days

Best Performing Times To Post

Topics & Content Focus

Primary Topics

Secondary Themes

Industry Focus

Content Categories

Performance Insights

Best Performing Topics

Virality Signals

Structure & Quality

Common Hooks

Common Endings

Value Delivery Methods

Formatting Style

Audience & Tone

Detected Tone

Interaction Style

Community Building Signals

Writing Style Patterns

Content Strategy

Here is what the leaders who are actually seeing ROI are doing differently