MORGAN STANLEY: 'AI adoption could drive up to $16T in long-term market value for the S&P 500, but the economic impact may not show until late in the decade. Winners may come from consumer, real estate, transport, heavy industry, and healthcare, not just Big Tech'
A $400 billion bonanza? As AI spending estimates move higher, so do the stakes for investors. https://t.co/f99ev3nLMW
Morgan Stanley: AI Adoption Rate To Outpace Past Tech Cycles, But Measurable Economic Impact May Not Arrive Until Late Decade https://t.co/SIvmC4lDpm
US Treasury Secretary Jocelyn Bessent said the rapid adoption of artificial intelligence could begin to register in official US productivity statistics as early as the first quarter of 2026. Speaking on 27 August, Bessent argued that investment in AI-enabled tools and systems is reaching a scale that should soon translate into measurable efficiency gains across the economy. Private-sector analysts offered a more measured outlook. A same-day research note from Morgan Stanley projected that AI adoption is likely to outpace previous technology cycles but that its impact on macroeconomic data may not become evident until the latter half of the decade. The bank nonetheless estimated the longer-term uplift to S&P 500 market value at as much as $16 trillion, with beneficiaries extending beyond the technology sector to industries such as transportation, real estate and healthcare. Market projections for AI-related capital expenditures have climbed in recent months, with some estimates approaching $400 billion. While the timing of broad economic benefits remains debated, both policymakers and investors appear to be positioning for a significant AI-driven expansion.