Frame AI independence like self-driving car levels: 'Human-in-the-loop' (AI as advisor), 'Human-on-the-loop' (AI acts with supervision), and 'Human-out-of-the-loop' (full autonomy). This tiered model allows organizations to match the level of AI independence to the specific risk of the task.

As AI evolves from single-task tools to autonomous agents, the human role transforms. Instead of simply using AI, professionals will need to manage and oversee multiple AI agents, ensuring their actions are safe, ethical, and aligned with business goals, acting as a critical control layer.

Leading AI companies, facing high operational costs and a lack of profitability, are turning to lucrative government and military contracts. This provides a stable revenue stream and de-risks their portfolios with government subsidies, despite previous ethical stances against military use.

While first-wave defense tech leaders like Anduril pursue a vertically integrated "Apple" model (hardware and software), a new approach is emerging. Companies like Auterion are building a common, open operating system for drones from various manufacturers. This "Android for drones" strategy focuses on creating a wide, interoperable ecosystem rather than a closed, proprietary one.

Avoid deploying AI directly into a fully autonomous role for critical applications. Instead, begin with a human-in-the-loop, advisory function. Only after the system has proven its reliability in a real-world environment should its autonomy be gradually increased, moving from supervised to unsupervised operation.

The most effective use of AI isn't full automation, but "hybrid intelligence." This framework ensures humans always remain central to the decision-making process, with AI serving in a complementary, supporting role to augment human intuition and strategy.

To ensure wartime scalability, Anduril designs systems like fighter jets to be manufacturable on existing industrial lines (e.g., Ford plants). This avoids building specialized factories and leverages the country's current industrial base, a key lesson from WWII for enabling rapid, massive production.

Countering the common narrative, Anduril views AI in defense as the next step in Just War Theory. The goal is to enhance accuracy, reduce collateral damage, and take soldiers out of harm's way. This continues a historical military trend away from indiscriminate lethality towards surgical precision.

As autonomous weapon systems become increasingly lethal, the battlefield will be too dangerous for human soldiers. The founder of Allen Control Systems argues that conflict will transform into 'robot on robot action,' where victory is determined not by soldiers, but by which nation can produce the most effective systems at the lowest cost.