The emergence of DeepSeek revealed a profound shift in artificial intelligence. This book uses that moment as a lens to show what happens when efficiency begins to matter more than raw scale, and how that change reshapes business, software, and global competition.
As intelligence becomes cheaper and more reliable, ideas turn into systems, including continuously adapting enterprise workflows. AI agents move from demos to real work. Software stops waiting for humans to navigate screens and starts to act on intent. The traditional Software-as-a-Service model will begin to strain as cheaper, more autonomous intelligence may shift work toward continuously adapting software systems.
Based on real enterprise deployments and global industry trends, The DeepSeek Moment connects efficiency to consequence. It explains why open-source and open-weight models matter as much as benchmark scores, why cloud economics change when AI works, and why control, governance, and sovereignty now shape every serious AI decision. If you’re a leader who must decide what to build, what to buy, what to keep, and what to walk away from, this is the book for you.
