During my keynote at CES (January 8), I spoke about DeepSeekV3 and how it was trained. We had been testing it for a week or so, and it seemed extraordinary. Then, on January 20, DeepSeek-R1 launched, and it only took a couple of days to realize the game had changed. I explained what was going to happen in my Sunday essay, then simply reported on what some are calling our “AI Sputnik Moment” yesterday.
Why the history lesson? Because everyone should have known this was coming. To be very clear, it’s going to keep happening. We are living on the exponential. The cost ratio of OpenAI to DeepSeek is a pretty clear example of what an exponential shift in cost looks like.
Here are some questions to consider. Beyond reacting to Wall Street’s “DeepSeek moment,” how will you take proactive steps to ensure your organization is prepared for the next exponential leap? Have you reached out to your AI vendors to discuss their roadmap for integrating models like DeepSeek-R1 or to explore cost-saving opportunities with localized deployments? Are you evaluating which of your workflows could benefit most from lightweight, on-premise AI models or even lighter-weight mobile-friendly models? Have you convened your leadership team to assess whether your organization’s infrastructure and processes are agile enough to keep pace with rapid advancements? Are you actively fostering a culture of continuous adaptability? What specific actions will you take today to position your organization for what comes next? Food for thought.
Author’s note: This is not a sponsored post. I am the author of this article and it expresses my own opinions. I am not, nor is my company, receiving compensation for it. This work was created with the assistance of various generative AI models.