By 2030, nearly 100 gigawatts of new data centers will be added globally, doubling current capacity. This expansion demands up to $3 trillion in investment to power the artificial intelligence boom. The global data center sector is projected to grow at a 14% CAGR through 2030, according to JLL.
The artificial intelligence market projects significant growth, but its critical data center infrastructure faces a supercycle of escalating costs. This demands massive, concentrated investment from key players.
Companies will likely face increasing competition and costs for essential AI infrastructure. This could slow broader AI adoption, as many entities are unprepared for the scale of investment required.
How Much Are Digital Foundations Costing?
Data center construction costs are soaring. The average global cost per megawatt was $10.7 million in 2025, a 7% Compound Annual Growth Rate (CAGR) from 2020, according to JLL. General inflation exacerbates this; Consumer Price Index (CPI) inflation rose from 2.4% in early 2026 to 3.8% in April, according to Deloitte. This relentless cost curve, combined with the projected $3 trillion investment needed by 2030, means companies building AI infrastructure face significant financial pressure. These costs will inevitably pass to AI developers and end-users, potentially slowing innovation or making advanced AI prohibitively expensive.
What Do M&A Trends Suggest for Data Centers?
M&A trends suggest a cautious market, yet data centers are booming. Mega deals made up over 40% of US M&A value in Q1 2026, while overall volume stayed flat, according to Deloitte. Mega deals made up over 40% of US M&A value in Q1 2026, while overall volume stayed flat, according to Deloitte, indicates consolidation. Further, only 20% of survey respondents showed significant interest in cross-border transactions, suggesting hesitant broader investment. Yet, JLL describes a 'supercycle' in the data center sector, projecting a $3 trillion investment to double global capacity by 2030. This stark contrast implies the data center market's hyper-growth is isolated, likely driven by a few dominant players rather than broad market participation.
Where are New Data Center Frontiers Emerging?
New data center frontiers are critical, especially in developing regions. The African Development Bank Group's East Africa Economic Outlook and Kenya Country Focus Report offer insights into potential new markets. These regional outlooks are crucial for identifying viable sites for data center development and AI adoption. However, they also reveal regions likely to struggle with global infrastructure demands, creating a growing disparity in access to advanced AI capabilities.
How Can AI Overcome Infrastructure Challenges?
Overcoming AI's infrastructure challenges demands strategic partnerships and innovative financing. Yet, the sheer scale of investment required points to market consolidation. The 'supercycle' demands up to $3 trillion to double global data center capacity by 2030, according to JLL. The 'supercycle' demanding up to $3 trillion to double global data center capacity by 2030, according to JLL, implies an average capital expenditure of $30 billion per gigawatt. Such immense scale means the future of AI will be dictated by the few entities capable of deploying this capital. Such immense scale, meaning the future of AI will be dictated by the few entities capable of deploying this capital, will inevitably consolidate control of AI infrastructure into the hands of a few mega-players. By 2030, major cloud providers like Amazon Web Services and Microsoft Azure will likely control an even larger share of global data center capacity.
