Every company is building an AI strategy by asking, "What can we add?" The better question: "What can we delete?" The Inversion AI strategy defaults to addition. Smarter recommendations. Better predictions. Automated tasks. But the biggest opportunities are in subtraction. Not "what gets better?"
Pharma marketing has spent two decades optimizing the wrong bottleneck. The standard story: ideas move fast, execution moves slow. MLR review takes weeks. Compliance cycles multiply. By the time materials clear, the moment has passed. Everyone agrees this is the problem. Everyone agrees AI is the solution. Speed up the
ChatGPT hit one billion users in three years. The internet took thirty-six. And now nobody can stop investing. Meta is spending $600 billion through 2028. OpenAI and Oracle announced $500 billion for Project Stargate. Amazon is investing over $25 billion per quarter. More than a trillion dollars in motion. The
Your context engineering isn't an implementation detail. It's the whole product. Most AI products feel like wrappers because their prompts, retrieval, and evals deliver basic capability. The ones that don't feel like wrappers are maximizing what the model can do. Compare these prompts: Basic: