Lessons learned from 6 overhyped tech trends
Bill Doerrfeld | January 5, 2026
My
latest on InfoWorld explores major tech trends that failed to deliver.
I don't know about you, but no fully immersive, transhumanistic reality ever arrived in my workplace.
My friends and I never ended up storing all our data in a globally distributed immutable ledger, either.
And no — I'm not spending my hard-earned money on non-fungible images of bored apes.
I have a lot of data, but I wouldn't call it "big." It's mostly sinking in various lakes that no one can access.
The hype cycles go on and on... so today I poke fun at six overhyped trends on InfoWorld.
Read the article to commiserate on past failures, and pull out the lessons that actually matter going forward.
More than bubble-bursting hot takes, the piece explores the psychology underlying tech's insatiable lust for the next big thing.
My latest on InfoWorld reviews MCP servers from 5 major cloud providers
How are organizations actually using agentic knowledge bases in practice? My article for The New Stack looks at six emerging patterns.
My report for the eBPF Foundation explores enterprise eBPF case studies, production deployments, and real business outcomes across cloud-native environments.
Longtime Bottomless user sharing why I love automated coffee delivery triggered by a smart scale, plus a referral link for a free first bag.
MCP servers can quickly drain context windows without guardrails. Thankfully, there are ways around this, say the experts.
It may seem like AI agents are suddenly doing everything across industries. But in reality, the pace of agentic AI is moving carefully, and very deliberately, in highly regulated environments like finance and banking.
My latest feature for InfoWorld explores when it makes sense to scrape public web sources, and when official API integrations are the better choice for external data.
What does it mean to go nano with your software updates — to "carve with a scalpel" instead of swinging a hammer? For my latest DirectorPlus piece, I caught up with Chainguard VP Dustin Kirkland to dig into that idea.
I recently moderated a webinar that brought together three luminaries in the API community to discuss the importance of API standards in agentic AI development.
The more folks use MCP servers in development, the more they’re realizing it can lead to runaway token usage, unpredictable response sizes, and flooded context windows.
