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In this light, they're similar to another favored scheme of internet entrepreneurs: dropshipping. With dropshipping, sellers never stock or ship their product (often, they don't even design it). Instead, they make money by identifying trends then producing flashy adverts to find customers for the latest style of coat or watch. ChatGPT enables a similar dynamic in the creative industries and world of knowledge work: separating production from sales, allowing sellers to deliver goods that seem useful at first glance but fall apart when tested, and offering the scale and speed of production that obscures traditional feedback mechanisms like brand reputation. This is the future many fear for the web: AI-generated junk suffocating online platforms like algal blooms that choke the life out of ponds.

Artificial intelligence (AI) is swiftly moving to the mainstream and emerging as a powerful engine for many organizations, prompting them to jump on the AI bandwagon to accelerate growth, innovate, and disrupt the market. The Indian government and industry bodies are extensively focusing on building an AI ecosystem that could help the country to develop and implement cutting-edge solutions (See: New CII forum formed to help build an AI ecosystem). However, according to a recent study, Indian enterprises need to beef up their risk-management capabilities to leverage AI's potential and dodge threats that may emerge after scaling up AI deployments. The study titled, Can enterprise intelligence be created artificially?, commissioned by global consulting major EY and trade association body Nasscom, says that 60% of Indian executive leaders believe that AI will disrupt their businesses within three years. Yet, only 25% of enterprises have deployed AI solutions.

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The state of AI today reminds us of the old observation about teenagers and sex: there's more curiosity than knowledge, more talk than action, more failed attempts than actual achievement. Also, it's been around a long time, but each generation has to learn it anew. As Forrester Research observes in its new report "Artificial Intelligence Technologies, Q1 2017," AI dates back to the 1950's and has gone through several rebirths over the decades, notably around "expert systems" in the 1980s (at which time an office wag was heard to say, "artificial intelligence is better than none at all"). Today, another AI rebirth is taking place and it seems the availability of low-cost, increasingly powerful compute infrastructures (processors, data storage, networking) will bring it to fruition this time, putting impressive AI capabilities with the grasp of the enterprise. One of his core points is that AI in the enterprise will not so much replace workers but "amplify human intelligence."