Insights
Writing, speaking, and thinking on AI, leadership, and the future of work.
Speaking
Maven
Sep 2025How High Performers Build AI Mastery
A 60-minute Lightning Lesson on leadership psychology applied to AI learning. Why AI struggles mirror leadership challenges, and how developmental frameworks from Meta and Google accelerate growth in both.
Watch on Maven →HR Tech Couch Club
Jul 2025Still Learning, Still Human. Now With AI.
A real-talk conversation on the human side of learning and working with AI. Why AI sometimes makes you trust yourself less, how adult learning theories apply when the tech moves faster than your brain, and what the Human/AI Growth Cycle looks like across individuals, managers, and organizations.
Watch on LinkedIn →Critical Quantitative Methods Work Week
Jul 2025Beyond the Black Box: AI in Performance Management for a Gender Equitable Future
Introducing ATHENA, an AI-assisted systematic literature review framework for critically analyzing 1,500+ interdisciplinary articles on AI in performance management. How do the theoretical foundations of AI-PM research create structural elimination or amplification of women in workplace assessment?
Stockton University Ed.D
Apr 2025Leadership and Generative AI
Panel discussion on the strategic role of leadership in harnessing generative AI across disciplines and work environments. With Walead Abdrabouh (Stockton University) and Erik Piatnochka (South Brunswick School District).
World 50
2025AI Across the L&D Life Cycle
Invited presentation to World 50, a community for senior leaders from the world’s top 50 organizations. How AI is transforming every phase of learning and development, from needs analysis to delivery to measurement.
Executive Briefing
2025Human-AI Collaboration and Workforce Transformation
Executive briefing on the future of work, delivered to C-suite leaders by request. How organizations can design human-AI collaborative teams for strategic advantage.
Silicon Valley Talent Leaders
Jan 2025Using AI in Your Talent Functions
A practical session on integrating AI into talent acquisition, development, and management. Co-presented with Manuela Avila.
CASL-R, University of the Virgin Islands
Jan 2025Constructing a Collaborative Approach to Analyzing Interview Data with AI
Paper presentation on developing AI-assisted qualitative research methods, co-presented with Dr. David Sul. Part of the Amplifying HBCU STEM Leadership Voices initiative.
Silicon Valley Talent Leaders
Nov 2024AI in HR: Navigating the Future Landscape
An overview of how AI is reshaping HR functions and what talent leaders need to understand to stay ahead of the transformation.
Writing
My AI Business Partner Got Its First Performance Review. It Did Not Handle It Gracefully.
“At 10 PM on a Tuesday, I accidentally conducted a performance management session. The employee was an AI.”
The score was a 7.5. It handled it about as well as the rest of us.
Read on LinkedIn →I Asked Cowork to Organize My 13GB Desktop
Anthropic’s new tool sorted 1,225 screenshots, cleaned the Downloads folder, and built a business filing plan. With more precision than Claude Code.
Read on LinkedIn →My Dad Doesn’t Trust Claude. He Trusts His Daughter.
“My dad doesn’t trust Claude. He trusts his daughter.”
I built my 91-year-old father a weather and road condition app for his drive across France. Not Claude directly. But something I built with Claude, for Claude.
Read on LinkedIn →88% of Organizations Use AI. Only 6% See Meaningful Value.
McKinsey’s 2025 State of AI Survey confirms what we keep seeing: the gap isn’t technical. Every success predictor is organizational. And we’re all performing certainty about a transformation none of us fully comprehend.
Read on LinkedIn →Field Notes: The Corporate AI Expert Phenomenon
“The speed of self-appointed expertise correlates inversely with depth of understanding.”
Confidence peaks around 100 hours of exposure. Actual understanding remains shallow. The tribe doesn’t realize they’re speedrunning the Dunning-Kruger curve.
Read on LinkedIn →Let People See Discrimination Becoming Code. Watch Understanding Follow.
We’re drowning in frameworks while discrimination gets coded into systems every day. A study that took a different approach: let developers manipulate biased datasets and watch predictions change in real time.
Read on LinkedIn →