The 95% Trap: Why the Last 5% of AI Adoption Is the Most Important
If your team is at 95% AI usage, the question is not whether to finish — it is what the cost of not finishing actually is.
Engineering Manager leading the Applications Operations squad at Thanx, owning the full lifecycle of 100+ branded mobile apps. I drive operational excellence through automation and AI-native workflows, leading a distributed team across LATAM. Previously: full-stack development across fintech, logistics, and enterprise SaaS.





If your team is at 95% AI usage, the question is not whether to finish — it is what the cost of not finishing actually is.
If AI can automate 50% of your current role, the question is not whether your job is safe — it is whether you are building the skills that AI cannot replace.
The difference between using AI and being AI-native is the difference between prompting and building reusable primitives that compound over time.
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