Abstract
By a News Reporter-Staff News Editor at Robotics & Machine Learning Daily News Daily News-Current study results on artificial in telligence have been published. According to news originating from the Universit y of Tasmania by NewsRx correspondents, research stated, "This paper employs ins ights from earth science on the financial risk of project developments to presen t an economic theory of critical minerals." Our news journalists obtained a quote from the research from University of Tasma nia: "Our theory posits that back-ended critical mineral projects that have unad dressed technical and non-technical barriers, such as those involving lithium an d cobalt, exhibit an additional risk for investors which we term the ‘back-ended risk premium'. We show that the back-ended risk premium increases the cost of c apital and, therefore, has the potential to reduce investment in the sector. We posit that the back-ended risk premium may also reduce the gains in productivity expected from artificial intelligence (AI) technologies in the mining sector. P rogress in AI may, however, lessen the back-ended risk premium itself by shorten ing the duration of mining projects and the required rate of investment by reduc ing the associated risk."
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