Finance
Inside the data center financing boom — and the teams Wall Street is building to win it
Wall Street banks are racing to finance AI data centers, as deals swell into the tens of billions, forcing a rethink of how these projects are funded.
“If you can’t invest a billion dollars, we don’t even want to talk to you,” said Adam Lewis, a managing director at Citizens, a regional lender that has emerged as a key player in the sector. Just a few years ago, a $100 million financing was a milestone; today, it’s a rounding error.
For Lewis, that billion-dollar floor reflects the rising cost of land and electricity, which has pushed these projects beyond the limits of traditional commercial real estate loans and into the realm of large-scale infrastructure finance.
As deal values surge, banks are focused on seizing what could be Wall Street’s largest-ever financing opportunity. Over the past two years, lenders including Morgan Stanley, Goldman Sachs, and JPMorgan have formed integrated teams across disciplines to become fluent in the mechanics of how data centers are actually constructed.
Citigroup estimates the buildout could require $3 trillion by 2030, according to an internal memo sent in late February by leaders of the firm’s investment banking unit. In the memo, senior bankers from across investment banking, corporate banking, and financing said that Citi would establish a dedicated AI infrastructure group to break through internal silos and evaluate “all pockets of capital” as deals grow larger and more complex.
The sheer scale of the AI buildout is beginning to exhaust the cash reserves of the world’s largest tech giants. While hyperscalers cannot afford to fall behind in the infrastructure race, the costs have become too great to carry on their own balance sheets. To Fred Turpin, the global chair of investment banking at JPMorgan, this represents the “largest investment cycle in the history of capitalism.”
To bridge that gap, Turpin helped organize a firmwide working group that pairs technology and energy experts with bankers versed in private capital markets. The approach allows the bank to jump-start projects using its own balance sheet before connecting them to “long-term” capital from sovereign wealth funds, pension funds, and dedicated infrastructure investors looking for stable, generational returns.
Integrated teams
To put together the unprecedented amount of money to build AI infrastructure, bankers are drawing on multiple sources of capital, from bank loans and bonds to private credit and institutional investors, often assembled into a single structure from the outset.
At Goldman Sachs, the shift has taken shape inside its Capital Solutions Group, a unit formed last year to bring together origination, structuring, and capital distribution as deal sizes and complexity have grown. The group pulls in bankers from across investment-grade and high-yield debt, infrastructure and real estate financing, and equity capital markets, allowing the firm to consider multiple financing options at once.
“We’re elbow to elbow with the bankers that cover sponsors so that we can ensure a direct line between our origination efforts and distribution efforts to financial sponsors,” said John Greenwood, a partner who serves as global head of the infrastructure and real asset finance group within Capital Solutions.
Goldman Sachs
At Morgan Stanley, Richard Myers and William Graham, two top investment bankers, are members of a data-center-focused task force launched in 2024. Last year, Myers and his team arranged a $2.6 billion financing for CoreWeave that used Nvidia chips as collateral. They later pioneered a first-of-its-kind $27 billion bond deal for a joint venture between Meta and Blue Owl. That work increasingly requires bringing together specialists from across the bank — from power and project finance to real estate — to arrange multiple sources of capital.
And Graham, the firm’s global cohead of leveraged finance, has led a $3.2 billion senior secured note offering for TeraWulf and a $2.35 billion raise for Applied Digital — two specialized infrastructure firms that have pivoted from crypto mining to hosting the high-density power loads required for AI.
New vocabulary
Unlike traditional corporate financings, data centers sit at the intersection of real estate, energy, and technology, which means bankers have to weigh not just financial risk — but whether a project can actually be built, powered, and brought online as planned. Bankers said they’ve had to become fluent in a new language — the lexicon behind how these massive projects are built.
“We can read electrical diagrams and mechanical diagrams and understand land use permits and power configurations,” said Lewis, the managing director at Citizens, whose team of more than 30 bankers focuses on advising, structuring, and financing data center projects. Bankers are now required to understand what could delay or derail a project, and to give investors confidence that it will actually come online as planned.
“Most of us just assume it happens magically in some ephemeral thing called the cloud,” said Scott Wilcoxen, who leads digital infrastructure investment banking at JPMorgan. “But physically, what that actually means is there is effectively an unbroken physical connection between individual users and the data sources.”
This technical knowledge is ever more important as bankers say projects are increasingly constrained by limits on power, equipment, and labor. But those constraints don’t appear to be cooling demand, raising questions about how far the buildout can stretch — and what it will take to sustain it.
Goldman’s Greenwood noted that in a recent meeting with a client, someone in the room used a surprising adjective: “terrestrial.”
“I was in a meeting last week, and they were talking about terrestrial data centers,” he said, suggesting the next frontier could be “on the bottom of the sea, or in space.”
Finance
Houghton students put lessons to the test at Financial Reality Fair
HOUGHTON, Mich. (WLUC) – As students prepare to graduate in the coming weeks, the cost of living continues to grow around them.
One Houghton County school hopes to prepare them to financially face those obstacles.
“It’s all really mundane things that you wouldn’t usually think that you would need a class to learn,” Senior Katie Manchester said. “But then you’re in the class, and you’re like ‘Oh, this is actually really helpful’”.
Manchester is among the juniors and seniors at Houghton High School who participated in its third annual Financial Reality Fair on Tuesday. Each year, students in the school’s Personal Finance class get a glimpse into what independent life could be like after graduation.
Personal finance teacher Jennifer Rubin says that students learning personal finance skills is more important than ever.
“Everyone’s pocketbooks have been stretched,” Rubin said. “I think people see it in their own households. They see it with their parents struggling with finances, and they see gas prices. They’re seeing all of these things having much more of an impact than maybe it used to be a few years ago.”
Rubin says students got hands-on training during the fair, making financial decisions and budgeting. Senior Elli Sommerville found this particularly useful.
“I knew about budgeting beforehand, but actually getting to do it was really helpful,” Sommerville said. “We worked on it for about a month.”
Student Kylie Hatman said the fair helped her better understand her habits.
“Budgeting is a main thing for me,” Hatman. “I figured out that I don’t spend as much as I think I do. I liked the ‘Budget Down to Zero’ method. Figuring out how to format that really helped me.”
Rubin notes that these students will soon take these skills and teach them to a younger generation at Houghton-Portage Elementary School.
“Tomorrow, all seniors in personal finance are partnering with an elementary classroom, and they’re going to be teaching the elementary kids,” Rubin added. “They’re going to be the teacher.”
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Finance
Landscape of Climate Finance in Ethiopia – CPI
Macroeconomic reforms and escalating climate shocks are placing climate finance at the center of Ethiopia’s development trajectory. The country contributes 0.4% of global emissions but faces high climate risks, particularly due to its reliance on rain-fed agriculture and hydropower. At the same time, high inflation, foreign-exchange shortages, rising debt service obligations, and a recent sovereign default have constrained fiscal space and raised the cost of capital. Ethiopia must therefore rapidly scale up climate investment in line with its Nationally Determined Contribution (NDC 3.0), while navigating macroeconomic constraints and the declining predictability of international concessional and donor finance.
Ethiopia’s climate policy framework is increasingly investment-oriented, moving from ambition to action. Building on the Climate Resilient Green Economy (CRGE) Strategy (2011) and earlier NDCs, the country’s NDC 3.0 (2025–2035) shifts from high-level ambition toward defined sectoral pathways and financing needs. Parallel reforms signaling growing institutional readiness include greening the financial sector under the National Bank of Ethiopia, developing a national green taxonomy, capital market reforms linked to the Ethiopian Securities Exchange, and emerging carbon market frameworks. However, coordination challenges, fragmented mandates, and limited project preparation capacity continue to constrain delivery.
Tracking how climate finance is mobilized and deployed is critical to inform policy decisions, guiding development partner strategies, and identify opportunities to crowd in domestic and private capital. This second iteration of the Landscape of Climate Finance in Ethiopia provides an updated baseline of project-level climate finance commitments for 2019 to 2023, with a focus on the biennial average for 2022 and 2023. It tracks flows across mitigation, adaptation, and dual-benefit activities, mapping finance from domestic and international sources, through public and private actors, to instruments and end-use sectors.
This assessment draws on publicly available and proprietary datasets compiled on a best-effort basis. Data gaps remain material, especially for domestic public spending, given the absence of systematized climate budget tagging, and for certain private sector investments that are not consistently disclosed. As a result, some flows, particularly domestic public spending and difficult-to-track private investments, are likely underestimated.
Key findings
- Ethiopia’s climate finance has gradually increased but must rise by at least fourfold to meet identified needs. Tracked flows averaged USD 2.3 billion annually in 2022/23, equivalent to approximately 1.7% of GDP. This is an 11% increase from the annual average of USD 2.1 billion in 2020/21 but still well below the estimated USD 10.6 billion annual requirement under the NDC 3.0 (2025–2035).
- Ethiopia’s heavy reliance on international public sources exposes its climate agenda to the constraints of external concessional finance. In 2022/23, 93% of tracked flows originated from international public sources. Public actors committed approximately USD 2.2 billion annually, primarily through grants (80%) and concessional debt (14%). Multilateral development finance institutions and donor governments were the largest providers. This concentration underscores the urgency of mobilizing broader and more sustainable domestic and private funding sources.
- Ethiopia’s shallow capital markets and regulatory uncertainty have limited private climate finance. Private actors contributed USD 113 million annually in 2022/23, representing less than 5% of total flows. This is insufficient to signal a functioning market or provide any buffer against public finance volatility. Private flows were concentrated in agriculture, forestry, and other land use (AFOLU) and small-scale energy activities. Investments were influenced by guarantee-backed transactions and philanthropic grants. Macroeconomic risk, currency constraints, shallow capital markets, and regulatory uncertainty continue to deter private participation at scale.
- Adaptation finance accounts for the majority of Ethiopia’s climate flows, reflecting the country’s high vulnerability to drought, hydrological variability, and disaster risk. Adaptation represented 59% of tracked climate finance in 2022/23 (USD 1.4 billion annually), a slight rise from 56% in 2019/20. This finance was overwhelmingly grant-based (92%) and internationally sourced. While they exceed mitigation in volume, adaptation flows remain far below the estimated USD 4 billion annual need.
- Mitigation finance remains insufficient relative to emissions structure and targets and costed needs. These flows averaged approximately USD 500 million annually, compared to the estimated USD 6.6 billion requirement under NDC 3.0. Finance was concentrated in the energy sector and largely concessional in nature. Mitigation flows declined relative to 2020/21 due to project cycle effects. The AFOLU sector, a large source of emissions, received a small share of mitigation finance, highlighting a structural imbalance between emissions sources and investment patterns.
- Cross-sectoral and resilience-oriented programs feature prominently across both mitigation and adaptation. In 2022/23, adaptation investment averaged USD 644 million, mitigation investment USD 77 million, and dual-benefit projects received USD 306 million. These flows targeted initiatives such as disaster-risk management, food security, institutional capacity building, and policy support. This reflects Ethiopia’s integrated CRGE vision and climate–development nexus and requires strong coordination, monitoring, and financial management systems.
- Institutional reform momentum is building, but delivery constraints persist. Ethiopia has implemented several climate-related reforms, including fuel subsidy reform, electric mobility incentives, financial sector greening initiatives, carbon market readiness efforts, and capital market development. These reforms can help to mobilize domestic and private capital. Yet fragmented governance structures, limited project preparation capacity, incomplete climate finance tracking systems, and constrained fiscal space continue to limit the scale and predictability of flows.
Recommendations
Strengthening governance, institutional capacity, and monitoring systems can help align climate finance mandates, build investable pipelines, and improve investor confidence. Strategic use of concessional finance, supportive regulation, and appropriate financial instruments can help mobilize private capital over time. This report highlights six priority actions for scaling Ethiopia’s climate finance:
- Strengthen climate finance governance to accelerate implementation. Enhance the role of the Climate Resilient Green Economy (CRGE) strategy as an inter-ministerial coordination mechanism with clear mandates and decision rights. This should link NDC planning to budget allocation, including climate budget tagging, and be aligned with public financial management processes. TCRGE efforts can serve as a central platform for screening and prioritizing NDC-aligned projects, coordinating technical assistance, and structuring blended finance/PPP transactions.
- Build capacity for project preparation as well as institutional and subnational delivery to convert policy ambition into implementable pipelines. Improve technical capacity for feasibility studies, financial structuring, safeguards, risk allocation, and results-based planning across line ministries and subnational institutions, and establish standardized project preparation tools and targeted support for high-priority sectors, particularly AFOLU.
- Strengthen climate finance tracking, transparency, and data credibility. Climate budget tagging could be extended to regional and local levels, as well as to climate-aligned sectors such as energy, AFOLU, transport, water and wastewater, buildings and infrastructure and industry. Embedding tagging in budget execution and reporting can reconcile climate-relevant expenditures with actual spending and outputs.
- Optimize scarce public resources through catalytic de-risking and innovative fiscal instruments. Ethiopia must meet its NDC3.0 USD 2.4 billion annual domestic public finance target amid fiscal constraints, including rising debt servicing (13% of revenue), declining tax-to-GDP ratio (7.5%), and volatile donor finance. The country can strategically use its CRGE Facility and national funds to provide guarantees or first-loss capital to crowd in private flows. Aggregation mechanisms (SPVs, Platform-based structures, financial intermediary aggregation) can also help accelerate a shift from small, planning-oriented grants to scalable investments. Debt-for-climate swaps may be another viable source.
- Unlock international and institutional capital through stronger enabling frameworks and domestic markets. High country risk, regulatory gaps, and weak monitoring limit private investment. Momentum is building through initiatives such as Ethiopia’s National Carbon Market Strategy, the establishment of the Ethiopian Securities Exchange, and the NBE’s Greening Financial Systems program. Next steps could include frameworks and regulations for carbon markets, green bonds, and other climate-aligned instruments to reduce uncertainty, enable transactions, and scale local-currency finance. Carbon markets offer a near-term opportunity to mobilize private capital, given the country’s land restoration and reforestation programs.
- Scale finance for sectors that are hard to abate or prioritized under the NDC 3.0. The limited climate finance flowing to industry represents a missed opportunity, given the sector’s importance in shaping Ethiopia’s long-term emissions trajectory and development ambition. Costed pipelines for carbon-intensive sectors, blended finance, and technical assistance for project preparation, standards, and technology deployment can help direct more capital to NDC 3.0 mitigation priorities, including industrial energy efficiency, fuel switching, and low-carbon technologies.
Finance
Sezzle Financial Literacy Tools Help Consumers Develop Better Habits | PYMNTS.com
Sezzle found in a March consumer survey that engagement with its financial literacy tool MoneyIQ correlates with improved consumer habits.
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