Investor, Portfolio Manager & Research Analyst

Shanu Mathew

Where capital markets meet energy & infrastructure

Research and commentary on energy abundance and resilience, AI and power demand, data centers, transmission, grid reliability, public markets and industrials.

Shanu Mathew
Energy · Power · Infrastructure
Selected institutions & media
NYSECouncil on Foreign RelationsCSISNorthwestern KelloggColumbiaIR MagazineCrain’s Chicago BusinessWood MackenzieBloomberg IntelligenceDepartment of Energy Technology Transitions OfficeSightline ClimateCFA Society New YorkRocky Mountain InstituteRothschildDuke EnergyUniversity of Chicago BoothPacesLatitude MediaExponential ViewNYSECouncil on Foreign RelationsCSISNorthwestern KelloggColumbiaIR MagazineCrain’s Chicago BusinessWood MackenzieBloomberg IntelligenceDepartment of Energy Technology Transitions OfficeSightline ClimateCFA Society New YorkRocky Mountain InstituteRothschildDuke EnergyUniversity of Chicago BoothPacesLatitude MediaExponential View
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Research, market context, and the conversations shaping energy and infrastructure.

Shanu Mathew
Background

Investor, Portfolio Manager & Research Analyst

Shanu has worked across public equities, credit, strategic finance, and investment banking since 2015. His research focuses on energy, power, infrastructure, and the companies shaping those markets.

Previous experiences include Strategic Finance at Expanse (acquired by PANW for ~$1B) and Tech/Healthcare M&A banking at Evercore (~$40B of transaction experience).

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Years in Investing & Finance
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Speaking Events
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Published Articles
Expertise

Signature Topics

01

AI & Power Infrastructure

How the AI compute buildout is reshaping electricity demand and grid investment.

02

Energy Abundance & Resilience

Translating energy and power-system dynamics into actionable investment frameworks and risk analysis.

03

Data Centers & Power Demand

Where hyperscale data centers get sited, powered, and procured — and how that demand reshapes power markets.

04

Transmission & Grid Reliability

Transmission, generation, and the buildout of reliable, large-scale power capacity.

05

Public Markets & Industrials

Integrating energy, power, and industrial factors into equity and credit analysis for long-term alpha generation.

Public Appearances

Recent Speaking

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Oxford Sustainable Finance Summit
June 29, 2026

Oxford Sustainable Finance Summit

Spoke on the Oxford Sustainable Finance Summit's “Societal Resilience and Silicon Boundaries” panel at Rhodes House, examining how different AI adoption pathways could affect capital allocation, which sectors and infrastructure categories face the greatest exposure, and what could trigger a repricing of AI infrastructure.

Atlantic Council - Powering Data Centers in Emerging Markets
May 4, 2026

Atlantic Council - Powering Data Centers in Emerging Markets

Joined the Atlantic Council in London for the launch of Powering Data Centers in Emerging Markets. Discussed why power is now the gating factor for AI infrastructure as data center demand pushes into emerging markets, and why hybrid systems and aligned power/permits/equipment timelines are what determine project bankability.

Hannam & Partners Data Center Investment Webinar
February 3, 2026

Hannam & Partners Data Center Investment Webinar

Hosted 200 power & energy investors, execs, and management teams last week for a discussion on data center infrastructure and power markets. The big takeaway: the demand debate is over — signed DC leases hit 16.4 GW in 2025 vs 3.3 GW the year before. The conversation has moved to "who can actually deliver."

Writing

Latest Posts

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Latest Research · June 2026

Chips to Gigawatts to Dollars

A facility-load framework for the AI buildout — one unit, one vintage load, one supply flow, one stock. Put on the same basis, named 2026 programs point to roughly ~10 / 15 / 20 GW of US design load against the ~8–12 GW the grid can realistically energize.

~10 / 15 / 20
GW · vintage design load
~8–12
GW · AI-suitable energization
~0–12
GW · central-supply backlog
$45–60
B/GW · frontier all-in cost
US power constraint2026–28
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@ShanuMathew93

The long-form lives here. The daily conversation happens on X.

Real-time takes on markets, energy & power — plus curated reads worth your time. Over the past year those posts compounded into more than 46 million impressions.

46M+
Impressions · trailing 1Y
110K+
Bookmarks · trailing 1Y
34K+
Followers · current
Trailing 1 yearCumulative
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Awards & Press

Recognition

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Elected to the Council on Foreign Relations Term Membership

The Council on Foreign Relations elected Shanu to a five-year term membership through its Stephen M. Kellen Term Member Program — its selective cohort cultivating the next generation of leaders in foreign policy across government, business, finance, law, media, and academia.

Each year a new class between the ages of thirty and thirty-six is elected to the program; fewer than 4,000 have been named term members since its inception.

Otto Analytics: How Much AI Capacity Has Big Tech Actually Backstopped?

Otto Analytics credited an exchange with Shanu as the catalyst for its July 2026 audit of hyperscaler-backed AI capacity and called him “one of the better follows for the power-market mechanics behind AI infrastructure.” The note highlights his work on data-center load, transmission, grid reliability, and the gap between announced and energized capacity.

DealFlow Power 100: #15 in Week 27, 2026

DealFlow.energy ranked Shanu #15 in Week 27 of its 2026 Power 100, an algorithmic list of the 100 most influential digital voices in U.S. clean energy. Its Weighted LeaderRank methodology analyzes public social engagement, podcast appearances, and conference invitations; DealFlow notes that the ranking measures digital influence rather than institutional power, deal size, or policy impact.

Early Reviewer — Exponential View's State of the AI Economy

Exponential View tapped Shanu as an early, pre-publish reviewer of its inaugural State of the AI Economy report — Azeem Azhar's landmark study built on AI-spending data from 1,000+ companies — whose finding that AI revenue is beginning to justify the data-center buildout was covered by Bloomberg and seen more than a million times.

The report pegged generative-AI revenue (ex-China) at $110B over twelve months — scaling three times faster than the internet, mobile, or cloud — and showed Q1 2026 AI sales clearing data-center depreciation costs for the first time.

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