
The Human Resources Leadership Role in AI Transformation
Human resources (HR) is positioned as the lead function for AI transformation because the shift is fundamentally about workforce architecture, not just technology deployment. HR’s unique access to role data and authority enables it to audit job descriptions, redefine tasks, and align accountability when AI handles execution. The piece outlines three AI‑driven scenarios—speed, output, and capability expansion—and stresses that compensation, talent acquisition, and performance standards must evolve alongside AI‑augmented work. Ignoring these changes creates equity gaps and talent mismatches that erode competitive advantage.

You May Never Be an AI-Native Company. Do These Five Things Anyway.
Most firms won’t become fully AI‑native, but they can still capture AI’s upside by taking five practical steps. The author urges companies to launch a citizen‑coding program, roll out an enterprise‑wide large language model, train staff to think like CEOs,...

The Mythical Solo CEO Company — And the Thought Experiment Every Leader Should Run Right Now
The post debunks the “solo‑CEO” fantasy that a single leader with AI agents can run an entire firm without staff. It introduces the “Zero Employee Audit,” a two‑hour leadership exercise that categorizes every function into three buckets: fully automatable, AI‑augmented,...

The Skills Gap AI Just Created in AEC
The AEC industry faces a new skills gap as AI tools like Claude Opus 4.6/4.7 and Claude Cowork can now ingest entire project archives and autonomously handle documentation, coordination and preliminary analysis. While these models can delegate 30‑50% of a...

They Said the Same Thing About Websites
The blog draws a parallel between the early dismissal of websites and today’s AI skepticism, arguing that the technology is being ignored by the very sectors it will disrupt. It stresses that AI adoption fails when firms buy tools without...

Join My Hackathon on May 5th in Atlanta
The Q2 KPR Quarterly is hosting a day‑long hackathon on May 5 in Atlanta, bringing together general contractors, engineers, owners, and developers. Participants will form cross‑disciplinary teams to tackle tough AEC challenges and build AI‑driven construction tools in a single day....

Why Your Internal Hackathon Is an Executive Leadership Activity
The article reframes internal hackathons from a gimmick to a high‑impact leadership exercise. Executives are urged to run hackathons themselves, using them to surface strategic blind spots rather than delegating to IT or innovation teams. By flipping the traditional planning...

Did Your IT Department Tell You About What Happened in AI This Week?
Anthropic unveiled Mythos, an AI model that identified tens of thousands of hidden vulnerabilities across banks, hospitals, operating systems and browsers, prompting a coordinated warning to twelve leading tech firms through Project Glasswing. Simultaneously, the company launched Claude Managed Agents,...

The Scorecard: Did “Creating the Intangible Enterprise” Get It Right?
Two years after publishing *Creating the Intangible Enterprise*, the author grades ten AI‑driven predictions against fresh data. Macro labor reports confirm AI is augmenting rather than eliminating jobs, while early adopters enjoy dramatically higher revenue‑per‑employee growth. Operational efficiency is beginning...

We Already Ran This Experiment
A16z argues that construction software, still built on 1997 code, is holding back industry efficiency, while the author counters that the sector already experimented with BIM at scale without reducing waste. From 2007 onward, billions were spent on BIM tools,...
