The confident belief that AI's impact on jobs will "just work out" is dangerously naive. A more responsible approach, advocated by groups like Windfall Trust, is to use scenario planning. Just as governments plan for pandemics or cyber attacks despite their uncertainty, we must plan for worst-case economic outcomes from AI.

Instead of predicting the exact arrival of AGI, focus your career planning on the period where your contributions will be most valuable. This shifts the focus from an abstract date to a practical, personal time horizon for action and skill-building, as advised by 80,000 Hours founder Ben Todd.

AI will be a substitute for routine tasks but a complement for strategic work. Professionals will see rote work automated, forcing them to move "upstream" to higher-value advisory roles. The career imperative is to find where AI enhances, rather than replaces, your skills.

Large companies will increasingly use AI to automate rote tasks and shrink payrolls. The safest career path is no longer a stable corporate job but rather becoming an "n of 1" expert who is irreplaceable or pursuing a high-risk entrepreneurial venture before the window of opportunity closes.

You don't need to be an AI engineer today to contribute later. Strategic career paths include founding any tech company to learn entrepreneurial skills, gaining expertise in fields like diplomacy or forecasting, or joining key government institutions to be ready to integrate these tools when they arrive.

While the prospect of AGI shortens career planning horizons, it doesn't eliminate the value of building skills ('career capital'). A simple calculation shows that if you can spend one year to become 20% more effective, that investment pays for itself within five years, making it a rational choice even under moderately accelerated timelines.

To prepare for AI's career impact, Vanguard's chief economist advises using it as much as possible now. This not only increases your immediate productivity and value but also acts as an early warning system, revealing if your role is truly vulnerable to automation and giving you time to adapt.

Given the possibility of a rapid AI revolution, traditional long-term investments in human capital (e.g., a 40-year career path) may not pay off. Focusing on shorter payback periods and enjoying the present is a more rational strategy.

For investors and builders, the key variable isn't the final market penetration of AI. It's the timeline. A 3-year adoption curve requires a vastly different strategy, team, and funding model than a 30-year one, making speed the most critical metric for strategic planning.