At our inaugural AI Lighthaus Summit, we welcomed Austin Ambrozi as one of our keynote speakers. Austin, Co-Founder & COO of AI startup Doxci, a member the Forbes Business Council and thought-leader at the World Economic Forum, shared his vision about how anyone can win with AI. We’ve converted his presentation into this blog so you can learn how to win with AI, starting today.
Where AI Adds Value Now + What’s Next
Right now, AI is creating a lot of positive change. Austin gave plenty of examples. He talked about how AI is accelerating disease cure research, providing realtime translation, showing us how dolphins speak to each other, and how AI video is constantly improving. Remember the viral Will Smith eating spaghetti video from a few years ago? If you’re looking for simple proof of AI acceleration, This is it now:
If AI is accelerating breakthrough medical research and helping us talk to dolphins, can you use AI within your work day to do some lifting for you? Absolutely. Just for a second, imagine if you could eliminate the three mundane tasks that you do every week, and spend that time actually doing what you were hired to do. Sounds pretty great, right? Before we can start giving you time back into your day, it helps to get familiar with how these AI systems work at a basic level.
Why ChatGPT (+ Others) Work So Well
Have you ever wondered how the LLMs Work?
The answer is simpler than you may think. Large Language Models like ChatGPT, Claude or Grok work by predicting the next token (a chunk of text) by sampling a probability distribution it learned from massive data. Essentially, a calculator for words. Your prompt narrows that distribution and helps it calculate the words correctly. As these systems improve, they can consider larger context windows. Bigger context windows let you pack the brief, voice guide, and compliance notes into the same request. The more context the AI system has, the “smarter” it becomes. This makes it even easier to hand off tasks to docs, calendars, or design templates.
And this is why human expertise matters. The models are math equations. Complex and smart, but like any tool, made better by human thinking and ingenuity.
The 3-Step Pilot
No matter what your role on your team, this simple approach will help you improve your AI pilots:
1) Define the job. Write a one-line problem: “Turn messy brainstorm notes into a first-draft content brief in under 10 minutes.” Add two success metrics (time saved, revisions cut).
2) Build the habit. Pick an AI tool and start small: inputs, process, and accuracy checks. Save the winning prompt template in a shared library for your team.
3) Prove, then scale. Run the pilot for two weeks. Track the before/after. If it works, promote it to a standard operating play and teach the next team. If it flops, fix the inputs or pick a different task.
Austin’s Challenge
Try to make yourself the person who knows how to get 10x results by combining human insight with AI capability. In Austin’s words, “AI amplifies intent, make sure your intent is worth amplifying.”
