One remarkable characteristic of the current wave of Generative AI innovation is its ease of adoption. Tools like ChatGPT, GitHub Copilot, and Midjourney are accessible to virtually anyone in exchange for an email signup or a few bucks monthly subscription.
The democratization of such a powerful, world-changing technology means that grassroots experimentation with Generative AI is both practical and a highly productive first step in the AI adoption journey for most companies.
Unlike traditional software, which typically requires procurement, implementation, and enablement before it can be used, Generative AI is more akin to hiring an intern or a junior team member.
An individual can ask the AI for help with various tasks, as you might with an intern, and work iteratively to explore where the AI can offer the most value.
This simple approach can lead to substantial productivity gains for the individual. Furthermore, learnings from this experimentation can be shared and employed across the organization.
Although we are still relatively early in the AI adoption cycle, things are moving incredibly fast. The period of grassroots experimentation will be short-lived. Companies will quickly need to shift their attention to AI strategic planning, roadmap, and governance.
In light of this, the call to action for companies is clear: seize the moment and delve into AI experimentation. The insights and advantages gained during this period could provide both an immediate and longer-term competitive edge.
