A large, multinational company may buy parts, materials or services from thousands of suppliers around the world. One of the largest such companies, Procter Gamble, which owns brands like Tide, Crest and Pampers, has nearly 50,000 direct suppliers. Each of those suppliers may, in turn, rely on hundreds of other companies for the parts used to make its product — and so on, for many levels up the supply chain.
A brave new world. A new crop of chatbots powered by artificial intelligence has ignited a scramble to determine whether the technology could upend the economics of the internet, turning today’s powerhouses into has-beens and creating the industry’s next giants. Here are the bots to know:
Ernie. The search giant Baidu unveiled China’s first major rival to ChatGPT in March. The debut of Ernie, short for Enhanced Representation through Knowledge Integration, turned out to be a flop after a promised “live” demonstration of the bot was revealed to have been recorded.
To make a pair of jeans, for example, various companies must farm and clean cotton, spin it into thread, dye it, weave it into fabric, cut the fabric into patterns and stitch the jeans together. Other webs of companies mine, smelt or process the brass, nickel or aluminum that is crafted into the zipper, or make the chemicals that are used to manufacture synthetic indigo dye.
“Supply chains are like a bowl of spaghetti,” said James McGregor, the chairman of the greater China region for APCO Worldwide, an advisory firm. “They get mixed all over. You don’t know where that stuff comes from.”
Article source: https://www.nytimes.com/2023/04/07/business/economy/ai-tech-dna-supply-chain.html