AI has a voracious hunger for data and is willing to do anything (absolutely everything) to appease the greed.

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Data to train artificial intelligence (AI) models is the new oil of the internet, and such data is paradoxically becoming increasingly scarce (because it is exploited beyond the resources currently available). In fact, tech giants such as Meta, Google and OpenAI are currently desperate to obtain copyright-free data to train their AI systems. The desperation is such that Meta would even be willing to face lawsuits and the fines arising from such lawsuits in order to (illegally) feed on copyrighted data.

According to a recent study by AI qatar mobile phone numbers database specialist Epoch , the demand for quality data to train artificial intelligence models is so absolutely enormous that such data could run out by 2026. All the more reason for major technology companies to have absolutely desperate measures in their pipeline to deal with the data shortage.

Goal
At Facebook and Instagram's parent company, the hunger for data is so insatiable that some of its most prominent leaders are said to be holding daily meetings in 2023 to address the data deficit, according to Business Insider .

One of the ideas that Meta is said to have put on the table to calm its data obsession is the purchase of the American publishing house Simon & Schuster , which the investment firm KKR acquired in October 2023 for 1.62 billion dollars. If the acquisition had been formalized, Meta would have had legal access to the texts of the books published by Simon & Schuster (assuming that the corresponding agreements had been previously reached with the authors).

Meta has also reportedly considered paying $10 for each Simon & Schuster book used to train its AI systems.

Currently, the company led by Mark Zuckerberg is said to have several poorly paid employees in Africa working hard to write summaries of fiction and non-fiction books to train Meta's AI models.