Most people use ChatGPT to write emails, summarize notes, draft posts, brainstorm, solve problems, or look things up. It feels like a private notepad that talks back and validates your ideas.
That works, but if you stop there, you leave most of the value behind.
We’ve always worked from a simple idea: people, presence, and participation drive results. On LinkedIn, that meant your network, your visibility, and your consistent engagement and action.
The same principles apply to generative AI, just in a different framing:
When you use ChatGPT alone, you get one perspective. And it is a perspective you love to hear, your own. You might share results in a meeting or a chat thread, but the real work happens in isolation.
When you use ChatGPT together, no one starts from scratch. Good prompts and workflows become the starting point for everyone. Each conversation builds on the last. You make progress.
This raises the ceiling for the whole team. I love this quote from the CEO of Writer, May Habib “You raise the intelligence of the entire organization.” Quality use enables people who were average at writing, research, or analysis to work at a higher level by building on what already works.
Shared workspaces, projects, and custom GPTs enable teams to work faster, produce more, and dedicate more time to self-improvement and team enhancement.
Every time Jim runs a foundational AI training session, he feels the excitement build. The momentum is real. Teams start experimenting right away. They love the ability to collaborate and immediately begin building on each other's ideas.
Recently, he heard from a department leader where they'd noticed a dramatic change in how one team member was working. This person gained confidence using ChatGPT and was suddenly delivering completed work rather than relying on others to finish it for him. His colleagues recognized the difference immediately.
The impact rippled through their client relationships. By handling part of the process himself and then sharing it for final action, they achieved a faster turnaround with less back-and-forth. The spark from one person's energy and skill was already benefiting the rest of the team. You could feel the shift.
Even a simple shared document of the best and most up-to-date prompts can keep teams from starting over every time and fuel this kind of collaborative momentum.
Someone has to ensure that good ideas spread, sensitive data remains secure, and the team understands what works. This doesn't need to be a full-time job. Without this, collaboration fades and everyone goes back to working alone.
Adoption happens in waves. Early adopters jump in. Others wait to see what works. Skeptics need proof before they try anything.
The teams that make it work create simple feedback loops. They save the prompts that get reused. They share wins. They have clear rules and guidelines about what data can go into AI tools and what can't.
Most importantly, someone needs to push for the investment—shared workspaces, premium accounts, time to experiment. Without that push, teams stick with free individual accounts and miss the collaborative advantage.
It's not about assigning this to one person. It's about everyone taking responsibility for making the collective intelligence stronger.
What matters most is how you set it up:
Most companies are stuck in the “figure it out yourself” phase. That’s where they were with email in the late 1900s, as I like to say, or with LinkedIn in the early 2010s before they built admin and collaboration solutions across the platform. Almost all of your technology that works has a plan, admin controls, and most importantly, collaboration. It’s why we’ve always said LinkedIn is a team effort - the interest, collaboration, and training make a real difference for a business trying to leverage the platform.
You can still get an early mover advantage. But once ChatGPT or any AI becomes an actual “easy button” anyone can press, it will be too late. So, start executing on creating collaboration and leverage today.