Short Timelines Favor Control, Long Timelines Favor Infrastructure Security

TL:DR, A common assumption is that extending AGI timelines reduces risk straightforwardly by giving alignment researchers more time. I suspect the relationship is more complicated. Longer timelines may reduce accidental misalignment risk while simultaneously increasing risks from deliberate misuse and sabotage[1]. If so, extending timelines changes which interventions have the highest expected value rather than uniformly reducing risk.--My background is in vulnerability research and critical infrastructure security, including work on anti-tampering and attestation systems. This post reflects my current thinking on how AI verification and AI security relate, and how the highest-EV focus shifts under different timeline assumptions. Epistemically I am cautious and on the side of intuition rather than a formalised prediction model. My key argument is that instead of just decreasing risk, advances in alignment might redistribute it which renders AI Security more important over time.I believe that AI Safety is an iterative domain where new failure modes arrive and are discovered as models gain capabilities with scale. Our ability to tackle them depends on both the rate at which capability produces new failure modes and our ability to keep up with fixes:If the failure rate outpaces the fix rate, accidental misalignment is highly plausible leading to uncontrolled accumulation of unaddressed failure modes.If the fix rate can outpace the failure rate, accidental misalignment risk may become contained enough that the same extended time horizon enables adversaries to deliberately upskill, rendering them the dominant threat.A particular challenge I see is that the demand to join AI Safety is bottlenecked and outrunning capacity (e.g. MATS acceptance rate dropped by ~11pp from 2023 to 2025).As a threat-modelling exercise we could look at the following illustrative takeoff scenarios and observe how the dominant threat might shift depending on our ability to keep up with emergent f