AI Spending Estimates Exceed $7 Trillion as McKinsey Sets Profits Needed to Justify It

S&P Global expects six major US companies to spend more than $7 trillion on data centers, while McKinsey estimates that AI infrastructure investment will reach $7 trillion by 2030. McKinsey says justifying this requires annual profits of about $760 billion.

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• McKinsey estimates that AI infrastructure investment, which will reach $7 trillion by 2030, will need annual profits of about $760 billion.

  «AI needs $760 billion in annual profit to justify $7 trillion infra investment by 2030: McKinsey»

  LatestLY • The Economic Times
• The coverage said a large share of the return will come from companies redesigning their operations and improving productivity, alongside new businesses and products.

  «a significant share of the value will need to come from companies redesigning their work processes and improving productivity»

  The Economic Times
• The companies S&P Global expects to spend include Amazon, Microsoft, Alphabet, Oracle, Meta, and SpaceX.

  «Amazon, Microsoft, Alphabet, Oracle, Meta Platforms and SpaceX, to spend more than $7 trillion on data»

  24/7 Wall St.
• The International Energy Agency expects global electricity consumption by data centers to rise from about 415 terawatt-hours in 2024 to about 945 by 2030.

  «ارتفاع استهلاك مراكز البيانات للكهرباء عالميا من نحو 415 تيراواط/ساعة عام 2024 إلى نحو 945 تيراواط/ساعة بحلول 2030»

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