Software-driven innovation is critical to driving the transformation needed to create a climate-secure future. Here are five predictions about how progress on this front will accelerate sustainability across industries in the next five years.

1. Organizations will adopt circular economy business models.

To build a competitive global circular economy that produces no waste, companies must adapt their business models to maximize resource efficiency, develop recyclable products and repurpose waste as new offerings. A crucial part of this is creating digital business ecosystems to enable effective decision making and action.

Vodafone in the UK, for example, refurbishes or resells 97% of returned phones, the remaining 3% being recycled. Though the resource being recycled is hardware, at the heart of this approach is a software-defined supply chain powered by automation and machine learning.

One of the biggest challenges of moving to a circular economy is collecting and sharing data about a product throughout its entire lifecycle. Digital product passports (DPPs) offer that capability and promise to act as a transparent record of a product’s sustainability, environmental and recyclability attributes. Enabling traceability through software, DPPs can help businesses improve product management across the supply chain, which can also drive cost savings. Some companies are already using these processes, but DPPs aren’t expected to become a requirement in most regions of the world for a couple of years. The European Union is positioning itself as a first mover in the space and expects most products in the region to be covered by DPP regulation by 2030. 

2. AI will help manage natural resources.

According to a Sustainable Futures report, AI has become important for tackling most environmental sustainability issues including biodiversity, energy, transportation and the management of agroecosystems. In the agriculture sector, AI can produce insight and increase automation to improve environmental stewardship and detect diseases and potential infestations before crops or livestock are threatened. Technology not only impacts individual farms’ output, but data generates valuable insights that can positively influence policy decisions at the local or national level.

For example, DXC is partnering with the Ministry of Agriculture, Fisheries and Food (MAPA) in Spain to transform the Spanish agricultural sector through data analytics and AI. One project uses AI algorithms to accurately predict forest fires by evaluating environmental data sources collected by MAPA and its partners. Elsewhere, AI helps farmers makes more informed decisions about what crops to plant and where.

AI is also at the center of efforts to reduce waste and improve cost-effectiveness and sustainability of water operations in the agriculture industry, which accounts for 70% of freshwater use globally. AI systems can monitor groundwater levels while assessing crop needs to strategically guide sprinkler systems to optimal locations. 

AI is at the center of efforts to reduce waste and improve cost-effectiveness and sustainability of water operations in the agriculture industry.

3. AI will increase the viability of renewable energy.

McKinsey estimates that by 2026, global renewable-electricity capacity will rise more than 80 percent from 2020 levels. For example, Europe will add approximately 36 million renewable-class assets, such as solar panels, electric vehicles (EVs), and energy storage, to the grid in 2025, and 89 million by 2030. Millions of individual devices uploading and downloading electricity rewrites the fundamentals of how electric grids perform. Automation and data analytics can help manage decentralized energy sources, direct excess electricity and flag potential grid weak points before they become significant issues, and help utilities redirect power to where it’s needed in real time.

To enable this, legacy utility giants will need to reassess their operating models and invest in modern cloud-based IT infrastructures which enable data to be managed effectively and analyzed across the whole organization.

4. There will be a major shift to software-defined EVs in the next decade.

As countries work to achieve net-zero emissions by 2050, the decarbonization of transport has taken on greater importance. U.S. and European regulators are reviewing policy and implementing laws to limit the sale of new gas and diesel cars. As a result, eighteen of the world’s largest automakers have switched or pledged to switch, either completely or significantly, to EV manufacturing in the coming years.

EVs will be software-defined vehicles (SDVs), with automated capabilities to manage the car more efficiently with particular attention to environmental sensitivities. SDVs feature smart routing and energy optimization that can mitigate issues related to charging capacity and range. (For greater insight on this topic, see Five Automotive Trends That will Reshape our Relationship with Cars in the Next Five Years.)

Beyond the traditional financial sector, new approaches are helping to increase the sustainability of the cryptocurrency-mining process. 

5. Finance systems will be re-engineered to consume less energy.

Transitioning to more environmentally sustainable operations is a top priority for banks and financial services organizations. More sustainable software, more efficient algorithms and better data processing are key to these efforts. The global green finance market has thus grown from $5.2 billion in 2012 to more than $540 billion in 2021.

More than 120 banks already have joined the industry-led and UN-convened Net-Zero Banking Alliance and are committed to aligning their investment and lending portfolios with net-zero emissions by 2050. In addition to growing environmentally conscious portfolios, the financial services sector is significantly reducing its energy consumption by enabling efficiencies in data centers. Upgrades include data deduplications and compression which can improve data storage layout and storage efficiency while slashing energy usage.   

Beyond the traditional financial sector, new approaches are helping to increase the sustainability of the cryptocurrency-mining process. Leading cryptocurrencies are transitioning from the Proof of Work (PoW) system, which is slow and requires a significant amount of computing power, to the Proof of Stake (PoS) system. PoS enables faster transactions, provides more scalability and has a much smaller environmental impact. For example, one of the most popular cryptocurrencies, Ethereum, transitioned to PoS in 2022, a move which it claims will reduce its global energy usage by 99.95%.

Sustainability is becoming the new standard

Organizations must build sustainability into their system architectures and templates; make sustainability a non-functional requirement in bids; and require sustainability targets in service level agreements.

As architects, engineers, project managers and software delivery staff herald this change, teams will seamlessly transition to using code to support sustainability while maintaining and even improving competitiveness and profitability. We can all look forward to the day when sustainability is the new standard, and software will be at the heart of helping us create a climate-secure competitive future.   

About the author

Henrik Hvid Jensen is chief technology strategist at DXC Technology. He is the head of the Circular Economy Digital Backbone initiative to develop an open software platform to support circular economy business models, ensuring seamless business ecosystem connectivity.