Why Your AI Project Will Fail (And How to Make Sure It Doesn't) I've been involved in nine AI projects over the past three years. Some were side experiments. Others were serious products with funding and timelines. Exactly two of them are still running. The other seven are buried in a graveyard of abandoned GitHub repos and forgotten Slack channels. I'm not uniquely bad at this. Industry-wide, something like 80% of AI projects never make it to production. That's a staggering failure rate — higher than traditional software, higher than most people realize. After watching seven of my own projects fail and talking to dozens of others who've been through the same, I've noticed a pattern. The reasons most AI projects fail are surprisingly consistent, and they're almost never about the technology. Here are the five most common killers and how to avoid each one. Killer #1: Starting With the Solution Instead of the Problem This is the biggest one, and I...
The AI Art Debate: I Asked 100 Artists What They Really Think I want to start with something I've been hesitant to admit: I've been avoiding the AI art conversation. Not because I don't have an opinion — but because every time I brought it up online, the discussion turned into a screaming match. Artists angry that their work was scraped without consent. Tech people insisting that "art has always evolved." Nobody listening to each other. So instead of reading more Twitter arguments, I did something different. I reached out to 100 working artists across 15 countries and asked them five simple questions. No debate. No confrontation. Just listening. I talked to illustrators in Tokyo, concept artists in Montreal, calligraphers in Cairo, watercolor painters in Barcelona, digital sculptors in Seoul, and a woman in rural Colombia who makes textiles using patterns her grandmother taught her. Their answers were far more nuanced than any hot take I've seen online...