Model providers (API businesses) are incentivized to maximize token usage, while independent application layers align with enterprise cost/quality/speed optimization. Value accrual is time-…

Token budgets will scale to same order of magnitude as salaries for high-leverage engineers (100x engineers delegating to agent fleets), while low-leverage roles spend near zero. Average ac…

Open models are a critical counterbalance for cost/quality/speed tradeoffs. Enterprises will route most tasks to cheap open models, reserving expensive frontier models for high-leverage pla…

Short-term consumption corrections (Uber-style) will occur, but structural demand for compute, energy, and data centers is massive and sustainable. US federalism allows state-level experime…

AI-generated code volume grows exponentially outpaces security review capacity. Adversarial use of AI tools and potential model backdoors (trigger words) create structural security lag. Sec…

Data exfiltration risk exists only if sending data externally. Model-level backdoors (trigger words) are unlikely because adversaries would deploy them late to avoid detection. US should pr…

Democratic processes slow data center and energy infrastructure deployment vs authoritarian systems. Nuclear energy investment decades ago would have positioned Europe well for AI energy de…

Forward-deployed engineers are valid only to accelerate time-to-value for customers who would succeed anyway. Using FTEs to close deals signals product failure. Pure software companies shou…