Intelligence on Tap, Org Charts in Flux, and the Real Future of Work
The report outlines how we're moving beyond the early adopter phase toward a new organizational structure built around "intelligence on tap" and human-agent teams.
Op-ed
A collection of 18 posts
Google's Search Evolution: Why AI Challengers Have Yet to Dethrone the King
Google Search remains the undisputed gateway to the internet despite predictions of its imminent disruption by AI-first challengers.
7 Key Takeaways from OpenAI’s New Model Spec Update
It's refreshing to see OpenAI treating users/developers as partners who can handle difficult conversations, rather than risks that need to be managed.
6 Key AI Conversations from Davos 2025
From discussions about AI infrastructure to bold predictions about AGI, the conversations in the Swiss Alps offered a fascinating glimpse into where the industry's top minds believe we're headed.
Why AI Literacy Is the Key to Unlocking ROI in the AI Era
Without baseline AI literacy, organizations are putting their AI investments and at risk, undermining talent retention, and stifling innovation.
The Business Case For Love: How AI and Tech are Reshaping Relationships—and Threatening Prosperity & Safety
While we marvel at the speed of progress, there’s a quieter crisis brewing beneath AI’s eye watering rise: the breakdown of human relationships.
The Age of Distributed Energy: Power to the People (and the AI)
The dawn of a world where power is democratized, resilience is the rule, and energy isn’t something you’re given, but something you make. Is this a smart, savvy, power-to-the-people world?
Potential Over-Specialized AI Models: A Look at the Balance Between Specialization and General Intelligence
Might we design a model that knows more and more about a certain domain that we eventually create a model that knows everything about nothing?
Conviction and the Path to The Intelligence Age
In a post on his personal blog, OpenAI CEO Sam Altman painted a very optimistic picture of humanity's future with AI and a road toward unprecedented human capability and prosperity. Here is a link to his post in it's entirety, I highly encourage you to read
The AI Dilemma: Boosting Team Productivity or Sowing Fear and Concern?
Digging into how leading companies are creating high-performance teams while adopting AI efficiencies and automated workflows.
Do AI Product Teams Need to Sell? Absolutely. And Here's Why.
There’s this persistent idea that product teams are meant to quietly sit at their desks, tweaking models and designing features, while the sales team wrangles the customers. Let the salespeople deal with the chaos outside, right? Wrong.
The Best Way To Learn A New Technology Is To Teach It
Putting yourself in teacher mode forces you outside of your internal 'imposter syndrome' monolog and into the realm of understanding.
SaaS Reckoning: The Inevitable AI-Driven Transformation in Enterprises
AI Tech Investments Are Through The Roof, But Enterprises Aren't Seeing The Upside Yet. What Can AI Tech Buyers and Sellers Do to Close The Gap?
The Future of Product Leadership in the Age of AI: Beyond the Roadmaps and Features
AI is rapidly transforming industries, but the role of product leadership has never been more crucial—or more misunderstood.
What if AI isn't coming for your job—but for your busywork?
AI may or may not turn into a sentient overlord but it’ll definitely expose the endless parade of meetings, spreadsheet shuffling, and inbox maintenance.
10 Prompt Writing Tips to Better Collaborate with AI
Stop treating AI like a glorified search engine and start working with it like a partner. These simple tactics will help you get more done and come up with better ideas.
The Illusion of Open Source AI: A Rebuttal to Mark Zuckerberg
While Zuckerberg champions open source AI as the path forward, this vision overlooks critical security and innovation concerns. A closer examination reveals why unrestricted access to frontier AI models may pose more risks than rewards.
LAUSD's $6 Million AllHere Fiasco: A Cautionary Tale of AI Hype Over Literacy
Maybe it was a failure to understand the fundamental limitations of current AI technology. Or perhaps it was sheer hubris. Whatever the reason, LAUSD's AI illiteracy led to a cascade of spectacularly poor decisions.