# Palantir CTO Shyam Sankar on AI Diffusion and Industrial Strategy Sankar argues that prioritizing workflow integration over model development is essential for economic impact. - **Source:** [Stratechery by Ben Thompson](https://brifing.si/source/13414bcf-3bb2-4506-8e27-62ce8e5f7537) - **Published:** 2026-10-29 - **Topic:** [Business](https://brifing.si/c/business) - **Original article:** - **On Brifing:** https://brifing.si/s/dfbb2d00-951e-4a4b-b692-a8d5572d4909 ## The AI Diffusion Challenge Shyam Sankar argues that the technology industry is currently over-investing in the supply of intelligence while neglecting the diffusion of AI into the real economy. He compares AI to electricity, noting that true economic revolution requires redesigning industrial workflows rather than just producing more powerful models for general consumption. ## Atomic Unit of Enterprise Sankar challenges the prevailing industry assumption that the knowledge worker is the primary atomic unit of the enterprise. He asserts that the workflow is the actual unit of value. Improving a single analyst's productivity often yields zero ROI unless the entire supply chain process is optimized to capture meaningful gains. ## Limits of Model Innovation While acknowledging the importance of smarter models, Sankar warns against the industry's reinforcement-learning loop that prioritizes valuation growth over practical application. He highlights that despite the brilliance of tools like AlphaFold, the lack of drugs on the market demonstrates a critical failure in translating technological potential into tangible societal outcomes. ## Globalization and Productivity Sankar critiques the globalization model that separated innovation from production. He argues that innovation is a direct consequence of productivity. By ceding manufacturing capabilities, nations lose the essential stimulus required to drive further technological research, effectively hollowing out the industrial base necessary for long-term economic growth and national security. ## The Meritocracy Precondition Reflecting on his upbringing in Lagos and Orlando, Sankar views meritocracy as a fundamental precondition for the American Dream. He believes that being judged by the fruits of one's labor, rather than uncontrollable factors, is essential for maintaining societal agency and avoiding the cynicism that leads to historical decline. ## Systems Engineering for Safety Sankar expresses frustration with AI labs that refuse to adopt a rigorous systems engineering approach to AI safety. He advocates for a more structured methodology to ensure that AI systems are reliable and safe when deployed in complex, real-world environments, rather than relying solely on theoretical safety research models. ## Preserving Economic Alpha The interview explores how companies can preserve alpha rather than settling for median performance. Sankar emphasizes that ambitious customers who focus on top-line growth are more successful at adopting AI. These institutions treat AI as a tool for fundamental operational transformation rather than just a convenient assistant for workers. ## The Religious War Context Sankar characterizes the current state of the tech industry as a religious war. This tension stems from conflicting philosophies regarding the role of technology in society. He contrasts the cynical view of technology as a threat to nature with the optimistic belief in human agency and the potential for progress. ## Forward-Deployed Engineering Defined Forward-deployed engineering remains a core component of Palantir's operational strategy. This approach involves engineers working directly within the client's environment to understand specific workflow bottlenecks. By embedding technical expertise into the operational context, the company ensures that AI solutions are not just theoretically sound but practically effective for the user. ## GDP and Wage Growth Sankar notes that the relationship between GDP growth and wage growth broke in 1971. He believes that current societal instability is downstream of this reality. For AI to be considered a success, it must contribute to a thriving middle class where future generations believe their lives will improve. ## Lessons from Anthropic The discussion includes a retrospective on the interactions between AI labs like Anthropic and the U.S. government. Sankar uses these examples to illustrate the broader friction between rapid technological development and regulatory oversight, emphasizing the need for a more collaborative approach to integrating AI into critical national infrastructure. ## Strategic Imperative for AI Ultimately, Sankar argues that AI must move beyond being a cool technology to become a driver of societal improvement. The industry must shift its focus from model-centric metrics to diffusion-centric outcomes. Failure to do so risks losing public support and missing the opportunity to solve the most pressing industrial challenges. ## Sources covering this story - https://stratechery.com/2026/an-interview-with-palantir-cto-shyam-sankar-about-the-ai-religious-war/ — --- _Summary written by Brifing from the original reporting. Copyright in the original article belongs to its publisher; read the full piece at the link above._