$Lumentum(LITE)$ Estimates for global AI infrastructure spending in 2027 range between $1 trillion and $1.45 trillion, driven by massive data center construction, semiconductor procurement, and specialized hardware demands.
Major institutions and financial experts project the following benchmarks for 2027:
JPMorgan Chase: CEO Jamie Dimon stated that investment across the artificial intelligence infrastructure ecosystem could reach $1 trillion next year.
Morgan Stanley & UBS: Wall Street estimates from firms like Morgan Stanley project a $1.2 trillion to $1.4 trillion boom in AI infrastructure spending, with UBS specifically modeling that global AI capex will hit $1.447 trillion by 2027, driven overwhelmingly by surging memory component costs.
S&P Global Ratings: A comprehensive analysis indicates that combined capital expenditure for the top hyperscalers—including Alphabet, Amazon, Microsoft, Meta, Oracle, and SpaceX—will exceed $1.3 trillion by 2027.
Gartner: Long-term market intelligence forecasts place global spending on building the foundational backbone of AI infrastructure at roughly $1.75 trillion for the year. SP is going much higher.
Disclaimer: Investing carries risk. This is not financial advice. The above content should not be regarded as an offer, recommendation, or solicitation on acquiring or disposing of any financial products, any associated discussions, comments, or posts by author or other users should not be considered as such either. It is solely for general information purpose only, which does not consider your own investment objectives, financial situations or needs. TTM assumes no responsibility or warranty for the accuracy and completeness of the information, investors should do their own research and may seek professional advice before investing.

