Andy Busam
Weekly insights for leaders implementing technology that people actually want to use

Latest

10
Oct
Apple's Health Pivot: From Feature to Business Model

Apple's Health Pivot: From Feature to Business Model

Apple's reorganization of health and fitness under its services isn't just an internal shuffling—it's a declaration that the company has spent a decade building its next multi-billion-dollar business.
5 min read
09
Oct
The AI Strategy Mistake Most Companies Are Making

The AI Strategy Mistake Most Companies Are Making

Companies optimizing AI purely for cost reduction are building commodity capabilities that their competitors will match within months.
10 min read
03
Oct
Google Makes $460 From Your Data. You Get $2.

Google Makes $460 From Your Data. You Get $2.

Technology platforms extract enormous value from user data while compensating the sources minimally or not at all.
7 min read
12
Sep
Will the FTC Actually Protect Kids from AI Companions?

Will the FTC Actually Protect Kids from AI Companions?

The FTC is investigating AI chatbots that target children, but when regulators and tech executives are this cozy, will we get real protection or just regulatory theater?
4 min read
01
Aug
Why Creative Work Can't Be Measured Like Business Outcomes

Why Creative Work Can't Be Measured Like Business Outcomes

The tension between creative craft and business outcomes isn't a problem to solve—it's a productive collision that forces better solutions than either pure artistry or pure commerce can achieve alone.
5 min read
07
Jul
The Work We're Losing

The Work We're Losing

The companies effectively using AI aren't automating everything—they're strategically preserving the expertise-building work that creates competitive advantage when technology inevitably fails.
8 min read
03
Jul
Why AI Projects Fail: The Human Factors Analysis

Why AI Projects Fail: The Human Factors Analysis

Most AI implementations fail not because the technology doesn't work, but because organizations treat them as technology projects instead of people projects. This analysis reveals the four human factors that destroy 80% of AI initiatives.
11 min read
26
Jun
The Design Problem We Call User Resistance

The Design Problem We Call User Resistance

Recent research analyzing 63 studies reveals that what we call "user resistance" to technology isn't about fear of change—it's valuable feedback about design failures that make work harder, strip away meaningful judgment, ignore human workflows, and break essential collaboration.
5 min read
30
May
Beyond ChatGPT: How Specialized AI Models Change the Economics of Business Automation

Beyond ChatGPT: How Specialized AI Models Change the Economics of Business Automation

Successful AI implementation isn't about choosing the most advanced technology—it's about matching tools to actual business needs through systematic experimentation and optimization.
3 min read
21
May
The False Promise of AI Deregulation

The False Promise of AI Deregulation

The House's proposed decade-long ban on state AI regulation creates a dangerous oversight vacuum just when we need thoughtful rules to ensure AI systems serve human needs rather than exploit our vulnerabilities.
3 min read