Up to just a few short years ago, the most advanced artificial intelligence available to the general public came in the form of Siri and Amazon Alexa. Now, AI is as accessible as the internet. When this powerful of a tool is made so widely available, it’s not enough to just onboard platforms and plug them into workflows like an equation.
The best way to approach AI development is to consider the ways this artificial intelligence can expand, challenge, and improve the way you think at a fundamental level.
Learn how to overcome obstacles when onboarding a new technology in Impact’s webinar, Why Your Tech Rollouts Fail (and What to Do About It).
Introducing Thought Architecture
Impact’s Chief AI Officer, Jon Evans, discussed his approach to AI development and a concept he calls thought architecture, defined as a foundational shift to the way we think, create, and collaborate with intelligence itself. Watch the video below to get his full thoughts.
By embracing artificial intelligence through the lens of thought architecture, you’re not just onboarding another productivity tool, you’re welcoming in a teammate capable of elevating you and your work to the highest degree.
Think About How You Think
As artificial intelligence becomes increasingly capable of mimicking human reasoning, a curious challenge arises: how often do we actually examine our own thinking? AI systems, for all their complexity, are built on clearly defined rules: networks of logic, pattern recognition, and optimization routines.
In contrast, human thought is a messy, layered interplay of instinct, emotion, memory, and learned behavior. But it's precisely in that mess that insight lives.
Thinking about how we think is a vital human skill. It’s the ability to take a step back and observe the inner workings of our minds: How do I approach this problem? Why did I jump to that conclusion? What assumptions am I making right now?
When we become more aware of our cognitive patterns, we also become better equipped to work with AI, not just as users, but as collaborators. AI systems are powerful at surfacing patterns, testing hypotheses, and offering solutions we might overlook. But without a clear understanding of our own mental frameworks, we risk either over-relying on AI outputs or ignoring their value entirely.
This partnership works both ways: AI can push us to ask better questions, consider overlooked angles, or test assumptions we didn’t even know we held. But that only happens if we approach the interaction with curiosity instead of blind trust or rigid skepticism. The goal isn’t to think like a machine, it’s to think alongside one, using its strengths to bring out our best.
When we analyze how we think, we become more intentional not just about our decisions, but about how we interact with tools that amplify them. In that space between human intuition and machine calculation, we don’t lose control; we gain perspective.
Wrapping Up on AI Development
Artificial intelligence has already changed the world. From art to business to how we socialize, AI is everywhere, and it’s only getting more advanced. Turning this next-generation technology into an advantage comes down to the way you approach AI development, onboarding, and implementation.
If you’re looking at AI as a plug-and-play or “vending machine” solution, as Evans calls it, you’re already a step behind. Instead, start asking yourself how AI can enhance your thought processes, and then in turn, your work.
Learn how to bring new technology into your organization without running into obstacles in Impact’s webinar, Why Your Tech Rollouts Fail (and What to Do About It).
