{"id":16806,"date":"2026-10-05T12:36:55","date_gmt":"2026-10-05T09:36:55","guid":{"rendered":""},"modified":"2026-10-05T12:36:55","modified_gmt":"2026-10-05T09:36:55","slug":"us-ai-spending-needs-9-of-gdp-by-2032-to-justify-capital-boom","status":"publish","type":"post","link":"https:\/\/harici.com.tr\/en\/us-ai-spending-needs-9-of-gdp-by-2032-to-justify-capital-boom\/","title":{"rendered":"US AI spending needs 9% of GDP by 2032 to justify capital boom"},"content":{"rendered":"<p>For the ongoing wave of artificial intelligence investment in the US to yield a financial return, businesses and consumers would need to spend approximately 9% of national income on the technology, according to calculations.<\/p>\n<p>This proportion is equivalent to the entire budget the American public allocates to food, double all energy expenditures, or roughly seven times the total amount paid for telephone, internet, and digital streaming services.<\/p>\n<p>A study prepared by Columbia University finance professor Stijn Van Nieuwerburgh and presented at the Brookings Institution, <span style=\"color: #0000ff;\"><a style=\"color: #0000ff;\" href=\"https:\/\/www.wsj.com\/tech\/ai\/will-america-spend-9-of-its-gdp-on-ai-the-industry-is-counting-on-it-3501bb4f\">reported<\/a><\/span> by The Wall Street Journal (WSJ), revealed that artificial intelligence infrastructure construction has become the largest investment drive in US history.<\/p>\n<p>Based on current data centre construction plans, average costs, potential project cancellations, and an expected 10% unleveraged return on capital, calculations show that the sector must generate $3.5 trillion in revenue by 2032.<\/p>\n<p>Under the assumption of 4% annual nominal growth, this figure corresponds to 8.8% of US gross domestic product (GDP).<\/p>\n<p><strong>Capacity expansion may lower prices<\/strong><\/p>\n<p>The foundation of current revenue projections rests on the assumption that artificial intelligence companies such as OpenAI and Anthropic will be able to sustain existing processing power prices into the future.<\/p>\n<p>Stating that the current deficit in processing capacity is keeping profit margins high, Van Nieuwerburgh noted that companies will not be able to sustain today&#8217;s scarcity pricing in an intense competitive environment by 2032, when capacity is projected to quadruple.<\/p>\n<p>Sharp price declines seen in past technology investments show that comparable crises have occurred before.<\/p>\n<p>As a result of laying new lines and expanding capacity, bandwidth prices on transatlantic fibre-optic links between London and New York plunged by 96% between 1997 and 2001, a process that triggered the bankruptcy of numerous telecommunications companies.<\/p>\n<p><strong>Could falling prices boost demand?<\/strong><\/p>\n<p>While the processing capabilities of artificial intelligence models double every four to five months, data from Epoch AI show that the cost for a given capability level has been falling by 47% per quarter since 2023.<\/p>\n<p>Optimists, drawing on the concept known in economic literature as Jevons&#8217; Paradox, argue that expanding capacity and lower costs will multiply demand, thereby driving corporate revenues higher.<\/p>\n<p>The $300 billion combined annual revenue estimate set for 2030 for OpenAI and Anthropic by an expert panel led by Ezra Karger of the Federal Reserve Bank of Chicago has already been surpassed.<\/p>\n<p>The annualised combined revenue run rate of the two companies has reached approximately $180 billion and continues to post double-digit growth each quarter.<\/p>\n<p>Against advocates who view the technology as a third factor of production alongside capital and labour, forecasts indicate that the growth rate will decelerate and the law of diminishing returns will take effect as the system becomes widespread.<\/p>\n<p><strong>Productivity gains do not translate directly into revenue<\/strong><\/p>\n<p>Following the price drops and productivity surge seen from 1966 onwards during the personal computer revolution, corporate computer expenditures flattened out at around 0.8% of GDP by approximately 1984.<\/p>\n<p>A recent study conducted by Harvard University doctoral students Fiona Chen and James Stratton, examining software projects on the Jellyfish platform, pointed to a similar structural ceiling.<\/p>\n<p>The researchers determined that artificial intelligence assistants increased the number of lines of code written by 12%, while autonomous software agents increased it by 30%.<\/p>\n<p>Conversely, because users spent more time reviewing, interpreting, and modifying code, the ultimate contribution to completed projects remained low and was found to be &#8220;statistically insignificant&#8221;.<\/p>\n<p>Experts emphasise that even if artificial intelligence boosts productivity, this outcome may not translate directly into the massive profit and revenue figures anticipated by investors.<\/p>\n<p><!-- notionvc: cafb7d9e-e53f-4ec1-bc31-14387bc2e68b --><\/p>\n","protected":false},"excerpt":{"rendered":"<p>For the ongoing wave of artificial intelligence investment in the US to yield a financial return, businesses and consumers would need to spend approximately 9% of national income on the technology, according to calculations. This proportion is equivalent to the entire budget the American public allocates to food, double all energy expenditures, or roughly seven [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":16807,"comment_status":"closed","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"ep_exclude_from_search":false,"footnotes":""},"categories":[176],"tags":[6189,9970,2122,21446,6185,2262,19033,22299,22297,22298,1850,10167,503,22301,22300,4371,1855,21991,22296,22302,821],"class_list":["post-16806","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-america","tag-ai-bubble","tag-anthropic","tag-artificial-intelligence","tag-brookings-institution","tag-capital-expenditure","tag-columbia-university","tag-data-centres","tag-epoch-ai","tag-ezra-karger","tag-federal-reserve-bank-of-chicago","tag-gdp","tag-harvard-university","tag-headline","tag-jellyfish-platform","tag-jevons-paradox","tag-openai","tag-productivity","tag-software-engineering","tag-stijn-van-nieuwerburgh","tag-telecom-crash","tag-us"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.7 - 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