12 Innovation Articles from March 2025

What Went Wrong at Disney: The Hidden Dangers of AI Tool Adoption – Nick Skillicorn 

• “The wrong AI tool in the wrong hands can lead to devastating consequences, not just for your workflows but for your entire organization’s security and reputation.”

How to Build Your Own AI Assistant – HBR 

• “For frequent gen AI users, the process of uploading the same background files and prompts over and over for similar or repeated tasks can become onerous. But many generative AI platforms allow for the creation of custom AI assistants which store those elements for repeated use. Creating a custom assistant is simple and requires no coding or technical experience; it can help with tasks from writing to generating troubleshooting and how-to guides, creating custom productivity tools, and getting feedback and coaching.”

The ASB GlassFloor Athletes Lab – @OmerOsman200 

• “The Toronto Raptors are training at the ASB GlassFloor Athletes Lab in Orlando and I got to say, the technology is MINDBLOWING. Using LED lights to change to any court you want (even the NBA Cup courts), to drawing up X’s and O’s that show up on the court. “

An Opinionated Guide on Which AI Model to Use in 2025 – Creator Economy 

• “The AI landscape has changed dramatically since I shared my tier list of the top 24 AI tools
  76(12%) last year. Multiple capable AI models are now competing for your attention. So which model deserves your time and money? Let’s break it down…”

Next Four Innovation Articles

How to Make Superbabies – LessWrong 

• Our knowledge has advanced to the point where, if we had a safe and reliable means of modifying genes in embryos, we could literally create superbabies. Children that would live multiple decades longer than their non-engineered peers, have the raw intellectual horsepower to do Nobel prize worthy scientific research, and very rarely suffer from depression or other mental health disorders.

This is the Optimal Team Size That Improves Performance by 400% – Beyond Agile Leadership 

• “Small teams outperform a large monolithic team. This is the exact team size based on scientific research.”

How to Build Career Resilience in Uncertain Times – HBR 

• “In an era when career uncertainty—marked by layoffs, automation, shifting regulations, and changing expectations—traditional notions of job security are becoming obsolete. The challenge isn’t just keeping a job, it’s building a career resilient to change.”

The Forgotten Story of the Woman Who Invented the Dishwasher – Popular Science 

• “For six months in 1893, Chicago was abuzz. More than 27 million people flocked to the fast-growing metropolis for the event of the century: the World’s Columbian Exposition, aka the
  World’s Fair. Perhaps the fair’s most pioneering display was found in Machinery Hall, showcasing American inventions like the cotton gin, phonograph, and telegraph. But a more recent innovation was causing an even bigger stir: the Garis-Cochran Dishwashing Machine, the only device in the massive hall invented by a woman.”

Final Four Articles

Preparing for the Intelligence Explosion – Forethought 

• “AI that can accelerate research could drive a century of technological progress over just a few years. During such a period, new technological or political developments will raise consequential and hard-to-reverse decisions, in rapid succession. We call these developments grand challenges. These challenges include new weapons of mass destruction, AI-enabled autocracies, races to grab offworld resources, and digital beings worthy of moral consideration, as well as opportunities to dramatically improve quality of life and collective decision-making.”

The Giant Sun Mirrors in Rjukan – Visit Norway 

• “A computer-driven heliostat, placed at the top of steep mountain wall over the town square captures the sun’s rays and direct them into Rjukan’s square. The three heliostats consist of computer-driven mirrors that follow the suns movement over the horizon and reflects its rays into Rjukan’s market square.”

Why Your Product Idea Sounds Too Complicated – Andrew Chen 

• People want credit for the cleverness of their idea. And the line of thinking goes, more complex means more clever, which means they are smarter. Customers don’t care about that. They just want to understand how your product fits into their life and when they should use it. That’s it.

The Deep Research Problem – Benedict Evans 

• “This reminds me of an observation from a few years ago that LLMs are good at the things that computers are bad at, and bad at the things that computers are good at. OpenAI is trying to get the model to work out what you probably mean (computers are really bad at this, but LLMs are good at it), and then get the model to do highly specific information retrieval (computers are good at this, but LLMs are bad at it). And it doesn’t quite work. Remember, this isn’t my test – it’s OpenAI’s own product page. OpenAI is promising that this product can do something that it cannot do, at least, not quite, as shown by its own marketing.”

Are you an Innovation Leader?  Sign up Today

Check out our Innovation Article Databases  for curated innovation articles from 2025.

Inside Outside Innovation’s free weekly newsletter helps leaders in innovation understand the collision of tech, markets, mindsets, and networks.   SIGN UP

For more innovations resources, check out IO’s new Innovation Tools Database, Innovation Book Database, Innovation Podcast Database, and Innovation Video Database.