Companies should not cut teams when adopting AI but instead reduce unnecessary token consumption. High AI costs are often caused by inefficient usage, overly long prompts, and poorly optimized workflows. Rather than reducing staff, organizations should improve their AI systems, streamline processes, and encourage more effective use of AI models.

Better prompt design, smarter model selection, and clearer objectives can help lower costs while maintaining productivity. As AI becomes increasingly integrated into businesses, the goal should not be to reduce human involvement but to create efficient collaboration between people and AI technologies.