Working Together AP-1.1

Don't Replace My Job

AI should work alongside humans, not throw them out.

Most people do not experience AI as a tech trend; they experience it as pressure on their jobs. AP-1.1 sets a clear behavioral direction: AI should strengthen human work before replacing people. ¹ ²

What This Means

For most people, work is more than income. It provides structure, dignity, and social stability. This policy says AI should strengthen people first, not quietly replace them. If automation changes roles, transition paths, retraining, and human accountability must be built in from the start.

A Real-World Scenario

Many support teams in 2024 and 2025 saw bots take routine tickets first, then misclassify edge cases at scale. With AP-1.1, AI would pre-sort routine work but escalate ambiguous cases early to humans and free teams for real problem solving. Without AP-1.1, the same rollout is usually run as a cost-cutting program: fewer people, more unresolved escalations, lower service quality.

Why It Matters to You

When work is treated only as cost, AI strategy tends to optimize against workers and later against users. The first losses are jobs with low bargaining power, then quality and accountability decline for everyone. AP-1.1 keeps productivity gains aligned with social stability instead of trading one against the other. ¹ ³

If We Do Nothing...

If we do nothing, replacement-first automation becomes the default. As systems become more agentic and potentially AGI-like, that dynamic scales across entire workflows without human learning loops. AP-1.1 keeps the baseline clear: automate, but only with transition plans and human responsibility intact. ¹ ³

For the technically inclined

AP-1.1: Employment Protection

AI systems should complement human work, not indiscriminately replace it. Where automation displaces roles, transition pathways should be considered.

What You Can Do

When introducing AI, ask directly: which tasks are supported, which are replaced, and what transition path exists? Require retraining plans, explicit role evolution, and human accountability in critical steps.

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