Human worker wages vs robot cost vs product prices dynamics via chat gpt
Input:
What could be the estimated time when these type of factors reach an equilibrium for the manufacturing industry. 1. robotic automation 2. Humans willing to work at lower wages 3. Robotic Companies willing to lower price of robots 4. Price of products manufactured in these plants reduces due to low earning power of masses.
Output:
The equilibrium point for these factors in the manufacturing industry depends on multiple dynamic interactions. Here’s how they might evolve:
1. **Robotic Automation:** Adoption is increasing due to cost reductions and AI improvements. However, full automation across industries may take **10–20 years**, with developed economies leading the way.
2. **Humans Willing to Work at Lower Wages:** Wage suppression can persist in developing economies, but factors like inflation, living costs, and government policies (like minimum wages or social security) will limit how low wages can go. A plateau may be reached in **5–15 years**, depending on the country.
3. **Robot Companies Lowering Prices:** As technology matures and competition increases, prices will drop. Economies of scale and open-source robotics could significantly reduce costs in **10–15 years**, making robots more accessible.
4. **Product Prices Falling Due to Low Purchasing Power:** If wages stagnate or fall, demand for premium products will shrink, forcing manufacturers to cut costs or offer cheaper alternatives. This trend could become more visible in **5–10 years**, depending on economic conditions.
### Estimated Equilibrium Timeline:
A partial equilibrium where these factors balance each other out could emerge within **15–25 years**, but this will vary by region. Developed economies will see a shift sooner due to automation adoption, while developing economies may see a delayed impact due to labor cost advantages.
However, technological breakthroughs (e.g., AI-driven factories, decentralized production) or major economic shifts (e.g., UBI, labor rights movements) could accelerate or disrupt this timeline.
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