Manufacturing and AI

Manufacturing and AI


Our current manufacturing economy is reactive. An AI-driven economy would be proactive.

For example:

→ Predictive maintenance: AI would be able to reliably predict when machines would need maintenance, ordering it before your car breaks down on the side of the road.

→ Wear and tear analysis: Things break down and some are beyond repair. AI can remove the risk of buying expensive products on the market with a true analysis of their condition.

→ Smart recalls: When a defective product goes out, it can be halted almost instantly, rather than forcing tons of waste into the market.

→ Market gap analysis: Current manufacturing is “spray and pray.” AI can do market gap analysis that finds the supply and demand all over the world.

→ Billionaire’s assistant: Only billionaires have the luxury of having full-time gophers. AI allows everyone the same luxury. It knows your weight, height, size, likes, dislikes, and desires. And it’s constantly in communication with a world of products that fit those criteria.

→ Minimal middleman fees: With AI, middleman fees are ground to near-zero. AI is the middleman. (With a decentralized AI, which is ideal, the fees are effectively zero.)

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