Only 16% of largest companies on track for net zero goals with nearly half seeing increased emissions, Accenture analysis finds
Only one in six (16%) of the world’s largest companies are currently on track to reach net zero emissions in their operations by 2050, while close to half (45%) continued to increase carbon emissions, according to new analysis from Accenture. The analysis also showed a need to expand how AI is used to reduce emissions within and across companies, as only 14% of companies display evidence of using the fast-advancing technology for carbon emissions reduction today.
In its fourth year, Accenture’s “Destination Net Zero” report is an analysis of net zero commitments, carbon reduction activities and emissions data for the 2,000 biggest companies worldwide. The report found that while full net zero target-setting has stalled at 37%, more than half (52%) of companies have cut both carbon emissions and emissions intensity since the Paris Agreement was adopted in 2016.
“A majority of the world’s largest companies are now cutting their emissions even as the size of their operations and revenues grow. While this is a significant milestone, to get to net zero by 2050 all of us need to move faster, together, to reinvent sustainable value chains using deep collaboration and transformative technologies,” said Stephanie Jamison, global resources industry practice lead and global sustainability services lead at Accenture. “AI can help but can only go so far when only 22% of AI-employing companies are currently using it for decarbonisation, the most realistic scenario is probably one in which AI initially emits more than it abates, until a critical crossover point. Responsible and sustainable scaling of AI means ensuring that crossover point is reached as early as possible.”
Accenture modelled the expected incremental use of AI-focused hardware in data centres around the world and forecast that AI-related emissions will rise more than 10-fold, from 68 to 718 million tons CO2e by 2030, in the absence of major innovation in energy systems, computing technology and algorithms. However, most leaders are optimistic about AI’s potential in decarbonisation. When asked about their expectations of how AI will affect emissions globally, more leaders expect it to reduce emissions (42%) rather than increase emissions (27%) in the short-term (1 to 3 years), and a clear majority (65%) expect AI to reduce emissions over the long term (10+ years).
In a sign of positive change that businesses are starting to rewire for net zero and focus on operationalising their decarbonisation strategies, many of the levers’ companies can pull to decarbonise their operations and value chains have started to become standard business practice: five key levers—energy efficiency, waste reduction, renewables adoption, circular principles and decarbonisation of buildings—are each adopted by at least 80% of companies, and 30% are adopting 15 or more levers.
Regionally, that percentage increases to nearly half (48%) of European companies adopting 15 or more levers–a share that is more than 20 percentage points higher than that of their Asia Pacific and North American counterparts. In addition to far outpacing their peers in having more than double the proportion of businesses with net zero targets (64%), European companies also lead the way on AI adoption. For example, one in five European businesses (20%) are using AI for decarbonisation purposes, compared to 14% in the Asia Pacific and 10% in North America.
Accenture continues to place an ever-greater emphasis on creating financial value and sustainability impact for clients by expanding capabilities and investing in expertise across sustainability strategy, supply-chain transformations, green IT and data-driven management of decarbonisation. Its Sustainability Services portfolio helps clients improve their environmental, social, and governance (ESG) and carbon intelligence. This set of capabilities helps organisations control, improve, and create value and reduce impact by using carbon—and broader sustainability—data and intelligence in decision-making across the core business.
As an example, Accenture built a custom large language model for ESG reporting using Meta Llama 3.1. It helps sustainability teams prepare their data collection and reporting requirements at a time of increased regulation. The tool has more than 16,000 hours of GPU training on over 15,000 ESG reports and can improve productivity by upwards of 70% by structuring ESG data and assisting in drafting ESG disclosures based on regulatory standards.
