Goldman Sachs anticipates a significant effect on the supply side.
SEATTLE (Oil Monster): In a paper published recently, Golman Sachs looked at how artificial intelligence (AI) would affect crude oil prices over the course of the next ten years. AI is predicted to have a favorable impact on supply.
AI technologies are being observed to have an impact on a number of industries, including the oil business. AI is becoming more and more discussed at conferences for the oil business, according to Goldman Sachs. It predicts a modest demand impact from AI. Over the next five to ten years, a rise in demand of up to 700,000 barrels per day is anticipated. This is in contrast to the daily demand of about 100,000 barrels worldwide.
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Goldman Sachs anticipates a significant effect on the supply side. It expects that AI will boost automation and lower drilling and logistics costs. AI has the potential to cut a new shale's cost by over 30%. Over the course of the ten years, it might also lead to a 7% reduction in operating expenses.
Furthermore, the AI-related methods should provide better predictive maintenance, which could reduce production downtime. As a result, according to Goldman Sachs, oil production efficiency might rise by 8% to 20%.
Over a ten-year timeframe, the total impact of AI is estimated to be about $5 per barrel. The analysis also stated that, overall, AI will have a slight negative net effect on oil prices over the medium and long terms.
United States Crude Oil Prices | |||
---|---|---|---|
COMMODITY | PRICE | CHANGE | |
Alabama Heavy Asphaltic Sour | 52.56 | -3.38 | |
Alabama Light Sour | 58.40 | -3.75 | |
Alabama Light Sour Womack Hill Type | 55.28 | +5.30 | |
Alabama Light Sweet | 63.40 | -3.75 | |
Alabama/ Florida Panhandle | 66.92 | +3.60 |
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