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To create lasting change in government, innovators must operate with extreme speed to "rip out old roots and plant new seeds." The goal is to replace entrenched systems and prove the value of new ones so quickly that they become resilient and difficult for a subsequent administration to undo.
The failure of government systems isn't a 'set it and forget it' problem. Rather, it's a 'set it and accrete' problem. New rules, processes, and technologies are continuously layered on top of old ones for decades without ever subtracting anything, resulting in unmanageable, brittle systems.
The Under Secretary of War, a former Uber executive, likens his government role to his startup experience. The key parallel is being a "political disruptor" who examines a massive, entrenched bureaucracy like the Department of War with a "clean sheet of paper," questioning existing processes and empowering change from first principles.
Selling to government is counterintuitive for impatient founders. Government can't fail or be disrupted in the same way. The winning strategy is to first solve an urgent, existing problem within their constraints, build trust, and then gradually introduce broader innovation.
Treat government programs as experiments. Define success metrics upfront and set a firm deadline. If the program fails to achieve its stated goals by that date, it should be automatically disbanded rather than being given more funding. This enforces accountability.
In the AI era, the pace of change is so fast that by the time academic studies on "what works" are published, the underlying technology is already outdated. Leaders must therefore rely on conviction and rapid experimentation rather than waiting for validated evidence to act.
In siloed government environments, pushing for change fails. The effective strategy is to involve agency leaders directly in the process. By presenting data, establishing a common goal (serving the citizen), and giving them a voice in what gets built, they transition from roadblocks to champions.
Unlike typical consensus-driven politicians, Donald Trump is described as acting with the urgency of a startup founder, making decisions and taking action in real-time to solve problems, which accelerates policy execution.
In government, digital services are often viewed as IT projects delivered by contractors. A CPO's primary challenge is instilling a culture of product thinking: focusing on customer value, business outcomes, user research, and KPIs, often starting from a point of zero.
To ensure effectiveness, new government tech talent shouldn't be scattered individually across agencies. Instead, they must be deployed as self-contained teams focused on specific projects. This strategy prevents them from being absorbed and neutralized by existing bureaucracy, allowing them to maintain momentum and achieve their objectives.
Incremental change is insufficient for the AI transition. To find the true extent of what needs to change, leaders must be willing to go 'too far.' This means dismantling established teams, processes, and roadmaps entirely, rather than iterating, to rebuild them from scratch for the new reality.