-
Summary
S&P 500 companies are entering a reinvestment regime that is both unusually intense and concentrated. As capital spending reaches historic levels, increasingly driven by data centers and AI infrastructure, understanding how this investment translates into capacity growth has become critical.
Join S&P Global Market Intelligence for a briefing on how to interpret corporate investment signals and why the underlying data matters. We’ll share a practical framework for assessing where reinvestment is expanding capacity and where it may signal a capital-cycle overhang. We’ll also discuss the regulatory and operational constraints that determine where new capacity can be built, how quickly it can come online, and what this means for resilience, competition, and risk monitoring.
What you will gain:
- Deeper investment insights: determine whether capital spending represents expansion, maintenance, modernization or potential overcapacity
- Improved capacity forecasting: assess how announced investment may translate into operational capacity over time
- A stronger view of constraints: account for regulation, permitting, energy availability, supply chains and execution timelines
- Competitive context: understand why certain companies and locations may be better positioned to add capacity than others
- Enhanced risk monitoring: identify signs of delay, concentration, infrastructure pressure and capital-cycle overhang
Speakers
S&P Global Market Intelligence
Daniel Sandberg
Global Head of Quantitative Research & Solutions
Daniel J. Sandberg, PhD, CFA is a thought-leader at the intersection of data science, finance, and mathematics. After 9 years studying the physical sciences, Dan decided to apply his quantitative skill set to the field of equity research. In his current role, Dan leads original research projects, validates new alternative data sets, and builds better technology for Investment Management professionals.
S&P Global Market Intelligence
Liam Hynes
Head of New Product Development – Public Markets
Liam Hynes serves as the Global Head of New Product Development. In this role, he leads strategic product innovation, driving the development of cutting-edge research & solutions across the firm’s extensive data and analytics platforms. His work spans the entire solution life cycle from proof-of-concept development, business assessment, beta client engagement, blueprint creation, product development, go-to-market strategies and commercialisation. Under Liam’s leadership, the team has delivered impactful research such as Questioning the Answers, blueprint solutions such as QTA & Ripple Effect and product launches with CCDE.
Before assuming his current role, Liam served as Head of ESG & Quant Specialists, EMEA, advising S&P clients on quantitative modelling, climate risk assessments, and alternative data integration. Prior to S&P Global, he was Founding Partner & Portfolio Manager at Monreith Capital LLP, managing a Global Financials Hedge Fund. He also held senior investment roles at Liontrust Asset Management and Occam Assest Management, focusing on emerging markets and commodities.
Liam is currently pursuing a PhD in AI & Finance from Kemmy Business School, where his research covers natural language processing, network theory, and AI-driven executive sentiment & behavioural analysis. He has also earned a BSc (Hons) in Mathematics from the University of Limerick and holds a Machine Learning certification from Stanford University.
Questions?
Please contact us if you need more information or have trouble accessing the webinar.