Skip to main content

The Rate of Change vs. The Reality of Adoption

The accessibility of AI has fundamentally changed how quickly new technology can be created. A teenager with access to ChatGPT or Claude can write network configurations or develop new IT features – but this rapid development introduces interesting challenges around adoption and understanding.

Just because something can be created quickly doesn't mean it can be quickly consumed or understood. Think about it like this: having a developer write user documentation is often problematic because they're too close to the code. Similarly, AI-assisted rapid development can create capabilities faster than organizations can effectively adopt them.

This is where process becomes our superpower. The ability to demystify new technology – to break it down into consumable pieces that teams can understand and implement – is more critical now than ever. We need structured approaches to bridge the gap between creation and adoption. Without clear processes, we risk creating a landscape of disconnected technologies that teams struggle to maintain and support.

The challenge isn't just about the technology itself. It's about making that technology approachable and understandable within our organizations. A 14-year-old might write perfectly functional router code, but without proper documentation and knowledge transfer, that code becomes another piece of technical debt.

In my experience working with teams across various organizations, this rapid pace of innovation often leads to what I call the "capability gap" – where what's possible outpaces what's practical. Teams end up with powerful tools they can't fully utilize because they haven't had time to properly understand and integrate them into their workflows.

The solution isn't to slow down innovation – that's neither possible nor desirable. Instead, we need to focus on building robust processes for knowledge sharing and adoption. This includes:

  • Clear documentation practices
  • Structured learning paths for teams
  • Regular knowledge transfer sessions
  • Practical hands-on experience opportunities

The key is finding balance: embracing the rapid pace of innovation while ensuring we have robust processes for demystification and learning in the flow of work. This approach helps teams stay agile without sacrificing understanding and proper adoption.

Comments

Popular posts from this blog

Bridging the Knowledge Gap: How Our AI-Powered Concept Explainer Transforms Learning

At UnleashU, we've always believed in meeting people where they are. This core value has driven us to continuously innovate our empowerment and demystification processes. Today, I want to share how we've revolutionized our approach to learning with an AI bot we call the "Concept Explainer" – a tool that's fundamentally changed how our team tackles new and complex technologies. The Challenge: Complex Concepts in a Changing Landscape The technology landscape moves fast. Really fast. What worked yesterday might be obsolete tomorrow, and the concepts our team needs to master are becoming increasingly complex. We found ourselves facing a familiar pattern: team members would encounter new technologies or methodologies and struggle to connect them to their existing knowledge base. The traditional approach meant months of learning curves, extensive documentation reviews, and often, knowledge bottlenecks where only a few team members could handle specific tasks. This cr...

The Ugly Truth that is Destroying the IT Industry

The IT industry is facing an existential crisis, and we're doing it to ourselves. While we debate the latest frameworks and argue about cloud strategies, a fundamental rot is spreading through our organizations. The ugly truth? Our approach to learning and knowledge management is systematically destroying our ability to sustain a viable workforce. The Crisis is Real Let's examine the facts: Knowledge Hoarding : Senior engineers guard their expertise like trade secrets, creating dangerous single points of failure Learning Theater : Organizations spend millions on training programs that deliver zero practical application Skill Decay : Teams rely on outdated knowledge while new technologies accelerate past their capabilities Resource Burnout : Experts become bottlenecks, overwhelmed by constant interruptions from colleagues who lack basic skills This isn't just inefficiency—it's organizational suicide. When that senior engineer takes vacation or leaves the company, entire ...

How AI and 3D Printers are Changing How We Think About Work

 We're experiencing a fundamental shift in how problems get solved in the workplace. Technologies like AI and 3D printing are putting solution-creation directly into the hands of front-line workers - the people who understand the problems best. Let's explore how these tools are empowering teams to solve their own challenges rather than waiting for solutions from others. The Power of Context Here's something I've learned over the years working with organizations at UnleashU: the person closest to the problem often has the best understanding of what's needed to solve it. Think about it - a front-line worker who deals with a specific challenge every day understands the nuances and context far better than an external consultant or even upper management. AI as Your Problem-Solving Partner AI tools like ChatGPT are fundamentally changing how we approach problem-solving. Instead of waiting for an expert to provide answers, workers can now: Explore potential solutions...