Kyndryl and Microsoft Study Reveals Gap Between Sustainability Goals and Technology Adoption

Global Sustainability Efforts Lag in Technology Adoption

A recent study conducted by Ecosystm and commissioned by Kyndryl and Microsoft has revealed a significant gap between organizations' sustainability goals and their use of technology to achieve them. The Global Sustainability Barometer study, now in its second edition, surveyed 1,355 sustainability leaders across 20 countries and 9 industry groups 1

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Key Findings

The study found that while 84% of organizations place high strategic importance on achieving sustainability goals, only 21% are effectively using technology to reduce their environmental footprint and shape their overall sustainability strategy 1

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. This disconnect highlights a significant opportunity for businesses to leverage technological solutions in their sustainability efforts.

Since the previous year's study, 38% of organizations have increased their sustainability goals and program execution, indicating progress towards a greener future 2

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. However, the adoption of technology to support these initiatives remains low.

Motivators and Challenges

Interestingly, the study revealed that investor expectations and shareholder demands are the primary motivators for sustainability initiatives, with 38% of respondents citing this as a key factor, up from 29% last year 3

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. This shift in motivation suggests that pressure from the top and external sources is driving sustainability efforts, rather than internal recognition of its importance.

The Role of AI and Data Analytics

Artificial Intelligence (AI) is emerging as a crucial tool in sustainability efforts:

• 62% of organizations use AI to monitor energy use and emissions
• Only 37% use predictive AI to forecast needs based on trends and patterns
• A mere 19% fully utilize data for strategic planning and decision-making 3

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These statistics indicate significant room for improvement in leveraging AI and data analytics for sustainability initiatives.

Energy Implications of AI Solutions

While AI offers substantial benefits for sustainability, its environmental impact is a growing concern. Only 35% of organizations are currently considering the energy implications of their AI solutions 1

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. This highlights the need for responsible AI implementation that balances technological advancement with environmental considerations.

Recommendations for Organizations

To bridge the gap between sustainability goals and technology adoption, the study suggests several guiding principles:

1. Integrate sustainability into overall business strategy, processes, and systems
2. Utilize data analytics and AI tools to reshape operational efficiencies
3. Foster sustainable innovations through technology
4. Measure infrastructure baseline emissions and optimize AI architectures
5. Implement AI and machine learning models to minimize energy use and reduce waste 1

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Expert Insights

Faith Taylor, Chief Corporate Citizenship and Sustainability Officer at Kyndryl, emphasized the need for collective action: "Organizations must move from intent to collective action to drive change. By integrating sustainability into a company's business strategy, processes and systems, organizations can maximize the value of their people and technology to achieve internal goals and deliver positive impact" 1

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Matthew Sekol, a Sustainability Global Black Belt at Microsoft, highlighted the importance of data integration: "Companies can gain the insights needed to deliver on their commitments and drive resilience by integrating sustainability data with operational and financial data, and using traditional data analytics and robust AI tooling to reshape operational efficiencies and foster sustainable innovations" 2

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As organizations increasingly recognize sustainability as a strategic imperative, the integration of technology, particularly AI, in sustainability efforts presents a significant opportunity for driving positive environmental impact and creating a more sustainable future.