(Blog 4 of 4 in our series CR/RI at a Crossroads)
This is my final blog before our upcoming Symposium on Corporate Responsibility & Responsible Investment: Past, Present, and Future at Columbia University. The symposium will bring together leaders and pioneers from both the corporate responsibility (CR) and responsible investment (RI) fields to reflect on their evolution and to explore how these fields can achieve greater impact and alignment going forward.
It will also mark the launch of the SIRI Legacy Archive, a flagship program of Columbia University’s Sustainable Investing Research Initiative (SIRI). As part of this program, SIRI plans to establish a global repository documenting the evolution of sustainable investment and business practices. The envisioned living SIRI Legacy Archive—to be housed at Butler Library—will capture, preserve, and share the history of the development of the fields of corporate responsibility and sustainable investment. For more information on the symposium and the SIRI Legacy Archive program, please visit: https://siri.sipa.columbia.edu/content/siri-legacy-archive-and-symposium.
Donella Meadows, in Thinking in Systems, described how meaningful systems change occurs when interventions move from adjusting parameters to reshaping goals, incentives, and governing paradigms.
The evolution of corporate responsibility (CR) and responsible investment (RI) over the past five decades can be understood through this same lens. What the fields have achieved—and where they have fallen short—maps closely to three distinct phases of development in HMI’s framework for the transition to a sustainable low-carbon economy (SLCE):
- SLCE 1.0 — Awareness and Principles
- SLCE 2.0 — Disclosure and Integration
- SLCE 3.0 — Accountability and System Design
CR and RI have successfully progressed through the first two stages. Operating within the constraints of the capital market system, they have moved sustainability from the margins to the mainstream. They have set the normative foundation for the field, establishing sustainability as a legitimate concern for business and investors, and built an operational framework for setting sustainability goals, encouraging disclosure, and reporting on progress. As global emissions and social inequality continue to rise, however, it is clear that a theory of change built on the core assumption that voluntary commitments, reporting, and disclosure alone can move markets is insufficient to drive the scale of change now needed.
The challenge for the fields now is to advance to a level where they can meaningfully influence the future design of markets and the incentives that drive them. This must occur within an operating environment in which the relatively stable geopolitical and market system in which SLCE 1.0 and 2.0 were developed is being challenged and reshaped by structural forces that include:
- Ecological constraints (climate, biodiversity, resource limits)
- Demographic transition (aging populations, declining growth)
- Technological disruption (AI, data concentration, new forms of power)
- Declining institutional trust and rising political fragmentation (deglobalization)
These forces are redefining how markets function and how legitimacy is constructed. Among the key challenges that the CR and RI fields must now address as they take on an expanded role in the design of the new operating environment are the following.
Six challenges in moving to SLCE 3.0
1. From Voluntary Alignment to Embedded Accountability
Voluntary frameworks and coalitions will not deliver change at the scale or speed now required.
The focus must shift toward shaping the institutional and regulatory architecture within which markets operate: carbon pricing regimes, mandatory disclosure, fiduciary duty, and the mandates governing large asset owners.
This is a move from influence to enforceability—from soft coordination to embedded accountability.
2. From Disclosure to Capital Allocation
Disclosure remains necessary. It is no longer sufficient.
In a system defined by concentrated ownership and passive capital flows, the critical question is not what is reported, it is how capital is allocated. Net-zero commitments without credible, asset-level capital allocation strategies will not move markets. The center of gravity must shift toward investment decision-making itself: where capital flows, at what cost, and on what terms.
Ambition must be translated into costed, executable roadmaps.
3. From Influence to Agency—Engage Where Power Resides
CR and RI were built around public markets and listed companies. That is no longer where decisive power exclusively sits. Influence has shifted toward:
- Private equity and private credit
- Large passive asset managers
- State-directed capital and industrial policy
Operating effectively in this environment requires a different posture, one grounded in agency, not just influence. The task is not only to shape corporate behavior, but to engage directly with the institutions that determine how markets function and how capital is deployed.
4. From ESG Integration to System-Level Risk Management
Traditional ESG integration optimizes at the level of individual assets or portfolios.
But the defining risks of the transition—climate instability, demographic change, social fragmentation, and technological disruption—are systemic. They cannot be managed asset by asset or diversified away.
This requires a shift toward systems-level investing, including:
- Cross-portfolio risk assessment
- Understanding feedback loops across sectors and societies
- Coordinated, market-wide responses to systemic threats
The objective is not incremental portfolio improvement. It is the stability and resilience of the system on which all portfolios depend.
5. From Greenhouse Gases to the Political Economy
The current backlash against sustainability is not simply a communications failure. It reflects real economic and political tensions. The costs and benefits of the transition are unevenly distributed. Frameworks designed by and for large institutional actors are increasingly being questioned.
Three questions have moved to the center of the agenda:
- Who bears the costs?
- Who benefits?
- Who decides?
Credible climate transition strategies must answer these questions and how they will support social concerns such as workforce transition, community resilience, and energy affordability.
The “just transition” is not just an adjunct to climate strategy. It is the condition under which the transition becomes politically and socially viable. At the highest level of leverage, this is about reconnecting sustainability to broadly shared economic benefit—and restoring legitimacy in the process.
6. AI Democratization or Concentration
Artificial intelligence has the potential to significantly strengthen CR and RI:
- More granular measurement of outcomes
- Real-time supply chain transparency
- Improved modeling of transition pathways
But the distribution of that capability matters. If analytical power and data control concentrate in a small number of platforms and institutions, existing asymmetries will deepen rather than diminish. This places a premium on governance and the role of CR and RI in ensuring open data standards, interoperable reporting systems, and transparency in AI-driven decision-making.
The structure of information flows will increasingly shape the structure of economic and political power.
Conclusion
Meadows observed: “Before you disturb the system in any way, watch how it behaves.” CR and RI have spent decades doing precisely that—observing, measuring, and documenting system behavior. That accumulated insight is invaluable, but it must now be applied at a different level. It must not only consider risks in systems design but also where opportunities lie to enhance economic and social wellbeing.
The transition to a sustainable low-carbon economy is not primarily a technical challenge. It is a systems design and political challenge—requiring changes in incentives, governance, and the distribution of power across the economy. The question is no longer whether the CR and RI fields can influence outcomes at the margin. It is whether they can evolve to help shape the architecture of the market system itself.