Growing Without Destroying:A Model of Growth in the Era of Climate Capital
Opinion Article: SENIORS INTERNATIONAL CONSULTING | SICs™ | 2026
MSc Victor Piriz Correa MD, MPH & One Health Team led by Dr. Adeline Allegre
The Price of the Unmeasured
For decades, carbon emissions represented the perfect externality — a cost that the global financial system systematically subsidised, funding growth at the expense of planetary stability.
That model is collapsing. Not gradually, but structurally. In 2015, the Paris Agreement committed nearly 200 governments to limiting global warming to well below 2°C, with efforts towards 1.5°C [1].
In June 2026, the Science Based Targets initiative (SBTi) published its Corporate Net-Zero Standard V2.0, the most ambitious standard in its history [2]. More than 11,000 companies and financial institutions worldwide now operate with scientifically validated emissions reduction targets. The setting of corporate climate targets grew by 40% in 2025 alone [3]. Asia is emerging as the new centre of gravity of this movement.
For specialised consultancies such as SICs, this is not an abstract environmental debate: can Latin American organisations grow while systematically reducing the environmental footprint of each and every one of them?
The Scientific Mandate
The SBTi was established in 2015 as a direct response to the Paris Agreement, co-founded by CDP, the United Nations Global Compact, the World Resources Institute (WRI), and the World Wide Fund for Nature (WWF). Its purpose is to transform corporate climate commitments from declarations of intent into verifiable, science-aligned targets.
The Call to Action (C2A) Guidelines define a structured four-step process: formally commit, develop reduction targets for Scopes 1, 2, and 3 under GHG Protocol standards [4,5], submit those targets for independent validation, and publicly announce them once approved. The standard timeframe to complete this process is 24 months [4].
The new Corporate Net-Zero Standard V2.0, published in June 2026, significantly raised the bar [2]. Companies can no longer rely on strategies based predominantly on carbon offsets to declare themselves 'net-zero'. The new framework demands genuine absolute reductions, transparency throughout value chains, and sector-specific pathways validated against the most recent climate science.
The data supports the investment: 91% of companies that have set science-based targets report a positive business impact, with measurable benefits in reputation, access to capital, regulatory risk management, and long-term financial performance [6]. This is not a corporate philanthropy framework; it is an architecture of competitive advantage in a market redefined by the climate crisis.
For multilateral banks — the World Bank Group, the IDB, Chinese development banks, the Green Climate Fund, the AFD, the French Green Fund, and green financing platforms across LAC — alignment with SBTi is rapidly shifting from a differentiator to a prerequisite for capital deployment. Consultants who advise on sustainability without aligning their own operations to the same standards they recommend face credibility gaps that the most sophisticated clients will detect immediately.
Rigorous SBTi target validation demands data that is precise, auditable, and fully traceable. Companies such as AI Data Innovations demonstrate that high-quality data infrastructure — human-annotated and certified under ISO 27001, SOC 2, and GDPR — constitutes the climate equivalent of the GHG Protocol: without reliable data, there is no verifiable reduction.
The Circular Economy: The Engine That Makes the Journey Possible
Understanding SBTi targets without integrating circular economy principles is akin to knowing one's destination without understanding the vehicle. The circular economy begins from a transformative premise: economic value and the consumption of material resources can be decoupled. The linear model — extract, produce, consume, discard — generates emissions at every phase of the cycle. The circular model — design to eliminate waste, keep materials in use, regenerate natural systems — reduces Scope 3 emissions (the most difficult to address under SBTi), extends asset lifespans, and creates value flows where previously only costs existed.
From my experience in carbon offset markets and project financing, I have repeatedly observed a pattern: projects that simply purchase carbon credits to offset operations without systemic change are increasingly scrutinised by investors and validation teams. Projects that redesign their productive systems to minimise material waste, recycle inputs, and close biological cycles generate genuine, measurable, and durable reductions. The WEF's Report on Intelligent Transport for a Greener Future [7] underscores that the transformation of urban transport and logistics is one of the most cost-effective levers for reducing emissions.
This convergence is especially potent in priority sectors for Latin America and the Caribbean: food systems and agriculture (guided by SBTi's FLAG sector guidance), urban infrastructure, health sector supply chains, and mining operations transitioning towards green employment models [8]. SICs' analysis of the water and energy paradox of Artificial Intelligence demonstrates that even seemingly immaterial sectors carry a critical circular footprint: data centres can be redesigned to operate with closed-loop cooling circuits using recovered wastewater, eliminating competition with human drinking water consumption [9,10].
The Patagonia Project exemplifies this convergence in action. The project explores how productive systems in the region can be redesigned under circular principles — regenerative land use, zero-waste processing, biodiversity co-benefits — that translate directly into measurable GHG reductions. What begins as an environmental commitment becomes a financial instrument: eligibility for green bonds, generation of high-quality carbon credits, access to international climate financing mechanisms. This is the architecture of the new economy: environmental performance as financial performance.
The circular model extends beyond physical materials. The data economy has its own cycle: data collected → models trained → decisions optimised → less operational waste. AI Data Innovations operates with more than one million collaborators across over 500 languages, generating datasets that train the AI models which in turn optimise supply chains, logistics, and energy consumption — Scope 3 emissions included.
Growing by Helping to Reduce
Herein lies the most compelling paradox. SICs — Seniors International Consulting — is a specialised consultancy of 24 people. By SBTi's own criteria, it qualifies as a Small and Medium-sized Enterprise (SME) [4]. This means that SICs navigates the same transition it advises others to undertake, through the SME Fast-Track: short-term targets, Scope 1 and 2 commitments, Scope 3 measurement, and annual public reporting. The cost of validation: USD 1,250. The timeframe: weeks, not months. SICs practises what it preaches — it does not design abstract climate strategies; it executes with a measurable and auditable scientific basis from within its own corporate structure.
The paradox of SICs' growth is as follows: SICs grows precisely because the world needs to reduce certain types of growth. As governments commit to net-zero targets, as banks integrate climate risk into their financing criteria, as pharmaceutical companies face decarbonisation requirements in their supply chains, and as health systems confront their Scope 3 emissions in procurement and logistics [14] — the demand for expert guidance amid this complexity expands.
SICs' growth does not depend on operational scale or staff volume. It depends on the sophistication of its guidance, the credibility of its frameworks (ISO 14001, SBTi alignment, One Health methodology), the depth of its territorial intelligence across Latin America, Europe, Africa, and China, and the capacity to transform complex problems into actionable, financeable, and auditable proposals. The geopolitics of resources — land, water, energy — has become the substrate upon which health, development, and environmental governance organisations operate [11]. SICs understands that substrate because it works within it.
In a world where trust and technical credibility are the scarcest resources, SICs' model — senior experts, proprietary methodologies such as OMG-SIC™ and MATÍAS™, a South-led perspective — is precisely what institutions operating at the intersection of global health, climate governance, development finance, and institutional transformation require. The digital determinants of health [12] and territorial information systems [14] are two of the conceptual frameworks that SICs has integrated into its services in response to this environment.
This paradox is, in reality, a coherent strategy: growing by enabling others to grow sustainably. Scaling by helping others to reduce unnecessary scale. Generating value by helping others to account for what they previously ignored.
This paradox finds a direct parallel in AI Data Innovations, which grows precisely because the world needs AI that is more precise, more ethical, and more efficient. Its R&D is oriented towards reducing the cost and training time of models — translating directly into lower energy consumption per inference, a critical factor in the circular footprint of data centres.
The Direction of Capital in the Next Decade
The transition towards a science-based economy grounded in circular principles is not a cost centre for the institutions that navigate it with intelligence. It is an asset revaluation: those who hold validated climate commitments, circular supply chains, and robust environmental governance frameworks will find preferential access to capital, strategic partnerships, and the institutional legitimacy that the complex projects of the next decade will require.
The SBTi framework — with its rigorous validation process, sector-specific pathways, and new Corporate Net-Zero Standard V2.0 [2] — offers the most credible publicly available architecture of commitment. More than 11,000 companies and financial institutions have already made that commitment. The Trend Tracker 2025 [3] shows 40% annual growth in target-setting. The direction of capital is unequivocal.
For development banks, bilateral institutions, green funds, health platforms, pharmaceutical companies, universities, and local, regional, and global governments, the question is no longer whether to align with these standards. The question is how to do so efficiently, credibly, and with measurable impact on their core operations and value chains.
For consultancies — large or specialised — the question is whether their own governance frameworks are commensurate with the advice they offer their clients. Credibility in this domain cannot be purchased. It must be demonstrated.
For multilateral banks and green funds, responsible AI has already become an eligibility criterion. The data feeding climate risk models, green bond scoring systems, and Scope 3 analyses must meet standards of quality, privacy, and traceability equivalent to those SBTi demands for emissions. AI Data Innovations' compliance with GDPR, Microsoft's SSPA, and SOC 2 represents precisely the kind of data governance that international financial institutions will increasingly require as a prerequisite for capital deployment.
"The climate transition and the digital transition share the same foundation: quality data. Without precise data, there is no reliable AI model. Without reliable AI, there is no genuine emissions optimisation. Without verifiable reduction, there is no access to climate capital. The chain is indivisible."
Would you like to learn more about how the SBTi validation process works, or about the specific requirements for the sector to which your organisation belongs?
Each institution — bank, multilateral entity, green fund, consultancy, university, government — has a different starting point, and the path towards a science-based target must be designed with the technical precision and contextual intelligence that its environment demands.
References
1. United Nations Framework Convention on Climate Change. The Paris Agreement [Internet]. UNFCCC; 2015 [cited 27 Jun 2026]. Available at: https://unfccc.int/es/acuerdo-de-paris
2. Science Based Targets initiative. The Corporate Net-Zero Standard Version 2.0 [Internet]. SBTi; 2026 [cited 27 Jun 2026]. Available at: https://sciencebasedtargets.org/corporate-net-zero-standard-v2
3. Science Based Targets initiative. Corporate climate target-setting up 40% in 2025, with Asia emerging as a centre of gravity [Internet]. SBTi; 2026 [cited 27 Jun 2026]. Available at: https://sciencebasedtargets.org/news/corporate-climate-target-setting-up-40-in-2025-with-asia-emerging-as-a-centre-of-gravity
4. Science Based Targets initiative. SBTi Corporate Call to Action (C2A) Guidelines. TWG-INF-004 Version 1.6 [Internet]. SBTi; 2020 [cited 27 Jun 2026]. Available at: https://files.sciencebasedtargets.org/production/legacy/2020/10/C2A-guidelines_SPANISH.pdf
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7. World Economic Forum. Intelligent Transport for a Greener Future [Internet]. WEF; 2025 [cited 27 Jun 2026]. Available at: https://www.weforum.org
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9. Solomon S. Sustainable by Design: Next-Generation Data Centres Require No Water for Cooling [Internet]. Microsoft Source Latin America; 2024 [cited 26 May 2026]. Available at: https://news.microsoft.com/source/latam/noticias-de-microsoft/sostenible-por-diseno-los-centros-de-datos-de-proxima-generacion-no-consumen-agua-para-la-refrigeracion/
10. Khan T, Goodwin M. What is a Green Data Centre? [Internet]. IBM Think; 2024 [cited 26 May 2026]. Available at: https://www.ibm.com/mx-es/think/topics/green-data-center
11. Abis S, Portier A, Pouch T. Russia–Ukraine: Hybrid War. Paris: Éditions La Découverte; 2024. pp. 45–52.
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