Businesses are entering a new phase of sustainable growth, where scaling AI infrastructure, circular models, low-carbon operations, carbon drawdown, power sourcing, and innovation is becoming central to competitiveness and resilience. Increasingly, these challenges are interconnected, shaping how quickly organizations can turn sustainability ambition into delivery.

ERM’s white paper, Turning Bottlenecks into Advantage: Future-Proofing the AI Infrastructure Value Chain, explores how organizations can manage these interdependencies and build more adaptable, future-ready infrastructure.  

Insights from the Trellis Impact 26 conference in San Francisco, California reinforced the importance of moving from isolated initiatives to integrated execution. The event brought together nearly 2,000 leaders from a wide array of industries to explore how businesses are scaling solutions and building powerful partnerships to drive the clean economy.
Here, ERM experts share key takeaways from five conference tracks: Close the Loop, Decarbonize Operations, Draw Down Carbon, Power the Future, and Unlock Startup Innovation—alongside broader insight from Trellis’ AI x Sustainability: Infrastructure Forum on building AI infrastructure at scale.

AI Infrastructure at Scale: Integrated planning critical to responsible growth 

Alison Drury, Senior Partner 

What we heard on the ground: AI infrastructure has become one of the defining industrial buildouts of our time. Conversations extended well beyond power availability to the broader complexity of building AI infrastructure responsibly and at unprecedented speed.  

Leaders highlighted the need to secure resilient energy, modernize grid planning, navigate increasingly complex permitting, restore land and biodiversity, strengthen supply chains, and earn community trust through early, local engagement. At the same time, organizations are beginning to view responsible AI and sustainable AI as interconnected priorities, recognizing that the infrastructure enabling AI must be as thoughtfully designed as the technology itself. 

Why it is important: The next generation of AI infrastructure will be shaped by organizations that integrate energy, environmental performance, community outcomes, and business objectives from the outset—not treat them as separate workstreams. Success will depend on accelerating deployment while strengthening grid resilience, restoring natural systems, engaging communities early, and embedding responsible resource management into every stage of development. As AI demand continues to grow, sustainable infrastructure is increasingly becoming a competitive advantage rather than a compliance exercise. 

Close the loop: Collaboration is key to success of circular models  

Ruzual Boparai, Partner

What we heard on the ground: Scaling sustainable products is no longer just a materials challenge. It requires product design, engineering, procurement, manufacturing, and suppliers to work together from the earliest stages of development. Successful introduction of recycled and circular materials depends on rigorous testing, supplier collaboration, traceability, third party certification, and continuous validation to ensure quality and performance are not compromised.  

Organizational change is just as important as technical innovation. The most successful teams build early relationships with product leaders, identify internal champions, and use data to address concerns around cost, quality, and reliability. While some recycled materials have already achieved cost parity, others still require scale and long-term partnerships before they become commercially competitive. The session reinforced that product sustainability is ultimately about building resilient supply chains and creating business value alongside environmental benefits. 

Why it is important: Circular strategies and material innovation are becoming central to business resilience—helping organizations to reduce waste, strengthen supply chains, and manage cost volatility and disruption. Companies that embed circular strategies and material innovation across the value chain, rather than treating it as a standalone initiative, are better positioned to deliver lower environmental impacts, strengthen material security, and generate commercial value. 

Decarbonize operations: Translating goals into operational transformation 

Olaf Schatteman, Senior Partner

What we heard on the ground: As pressure grows to deliver real, economically viable emissions reductions in hardtoabate sectors, companies are increasingly expected to translate net zero commitments into operational transformation. There is a growing challenge posed by the overwhelming power demand, driven in part by the AI surge, which is outpacing clean energy supply. 

In response, organizations are actively seeking alternative energy sources to meet demand and reduce emissions across facilities, fleets, and value chains. This includes accelerating electrification, improving efficiency, and engaging supply chains to advance practical decarbonization pathways. At the same time, participating companies shared that they were exploring ways to expand lowcarbon technologies, and overcome technical, financial, and delivery constraints. Many are also adopting net-neutral approaches over the lifetime (or next 10 years) of the assets, particularly data centers, to manage near term clean power shortages. 

Why it is important: Decarbonization requires measurable, commercially grounded action. As clean energy supply remains constrained, companies must balance immediate operational needs with long term emission goals. Aligning energy sourcing, efficiency, and supply chain strategies helps companies manage cost, reliability, and delivery risks while maintaining momentum toward long-term decarbonization goals.  

Draw down carbon: Addressing emissions through solutions beyond operational changes 

Debora Rustemeyer, Partner

What we heard on the ground: As organizations move past readily attainable opportunities for carbon drawdown, they increasingly need solutions to address residual emissions through credible and repeatable approaches that extend beyond operational changes alone. Carbon drawdown strategies are subsequently evolving to include a broader mix of emerging removal technologies such as regenerative land and forestry solutions, carbon insetting, and evolving market mechanisms.  

The need for integrity with these approaches is crucial to ensure impact and trustworthiness. Methods including robust measurement, reporting, and verification (MRV) frameworks can help deliver needed transparency, durability, and trust by providing structured systems for quantifying, documenting, and verifying carbon emissions reductions  

Why it is important: A strategic, portfolio-based approach to carbon drawdown (i.e., combining technology, nature-based solutions, and value chain interventions) better positions organizations to manage carbon-related risk and ensure long-term reduction impact. At the same time, credibility remains key to delivery, as without high-integrity solutions and strong MRV frameworks, stakeholder trust issues may emerge over perceived shortcomings in approaches, subsequently creating reputational risks.  

Power the future: Energy infrastructure is becoming a strategic growth constraint 

Suleiman Mirzad, Partner

What we heard on the ground: Power is emerging as a major challenge for many companies looking to expand their operations, especially in the technology space. While generation capacity is expanding, grid infrastructure remains a primary bottleneck, with interconnection timelines stretching 5 to 15 years. These delays are accelerating the shift toward behind-the-meter solutions such as microgrids, fuel cells, modular gas, and battery storage from bridge plays to core infrastructure. Real-time load-shifting was also noted as a key corporate procurement lever for managing AI-scale demand. At the same time, communities are now playing a greater role in shaping where and how power is built.  

The next wave of clean, firm power, including advanced nuclear/SMRs, enhanced geothermal, long-duration storage, and 24/7 matching, offers a credible path to scaling AI without locking in fossil generation. Sustainability professionals will need to engage more directly with financial and operational decision-makers, particularly by articulating the business case for clean power investments to business leaders.  

Why it is important: A once-in-a-generation energy infrastructure transformation is happening that will dictate whether companies can constructively manage rising demand, control costs, and ensure reliable, equitable access to clean, resilient energy systems. Across industries, efforts are underway to design more integrated energy transition strategies that link grid modernization, energy storage, and community-focused approaches together. Strengthening the link between sustainability and financial decision-making will be essential to accelerating this transition. 

Unlock startup innovation: Scaling commercial operations through partnerships 

Rayna Stern, Partner

What we heard on the ground: A shift is underway beyond the traditional venture capital playbook, with corporate partnerships increasingly seen as a viable, and in some cases preferable, route to commercialization. Not every climate technology company is built for rapid, “big tech” style growth. Many require longer development timelines, steady scaling, and early validation from customers, supply chains, and market-entry partners.  

This dynamic is especially relevant to AI and data center infrastructure, where corporate partnerships can provide a critical “corporate superpower,” offering credibility, access to channels, operational expertise, supply chain visibility, and pathways to pilot emerging solutions such as modular construction, distributed energy resources, circular materials, and emissions data platforms. 

Why it is important: For companies seeking to expand sustainable solutions, the most effective partnerships require more than technical promise—they require operational fit, business-case language, internal champions, and alignment with corporate budget cycles. Startups need to translate their value proposition to a companies’ pain points, equip program partners to advocate internally, and treat pilots with the same focus and urgency as fundraising.  

As infrastructure constraints intensify, companies need innovation partners that can help solve practical deployment challenges, while startups need corporate partners that can create market access, validation, and real-world test beds. When done well, these partnerships can reduce scale-up risk, unlock market access, and accelerate commercialization of solutions that may not fit a conventional venture capital growth path.