2024’s AI Lessons You Need to Learn to Succeed in 2025

Arham: What’s one key AI moment that stuck with you from 2024?

Ambika: 2024 was a fascinating year. I think it laid the foundation for where we are today. A lot of discussions revolved around large language model training, and chatbots seemed to take center stage. Today, we’re talking about agentic AI—tasks that once required hours of manual labor now automated in seconds using agents. And this is just the start.

I think the future holds an AI-enabled workforce versus a non-AI-enabled workforce, and that will significantly impact our productivity. Google’s launching many new products, and Agentspace, if you haven’t heard of it, is an agent orchestration platform that will become the new norm for organizing your team. That has me very excited about 2025. 2024 was a foundational year, but the future is truly exciting.

Bharat: Looking back on 2024, I’d say it was probably the year when many of my competitors and colleagues finally realized that AI isn’t going anywhere. It just gets better, and we might as well embrace it instead of fearing it. So, business adoption became much more of a priority than just focusing on the risks. A lot of companies started adopting, and the realization was that you have to be an early mover in the AI space to capture the market.

Yann: Yeah, I think what you saw in 2024 was the arrival of a lot of players on the market. AI is present everywhere, available, and very accessible to everybody now. So you don’t need to be an ML engineer to have AI in your application or in your company. I think that was the moment I realized this is another leap in productivity, similar to what the computer was in the ’90s. And there’s no going back. The early adopters, as you say, will win.