
Sustainable IT Playbook for Technology Leaders
Beschreibung
While the climate crisis poses a threat to planetary health, digital transformation continues to reshape our societies. The challenge for technology leaders is no longer understanding why sustainability matters but knowing how to take decisive, responsible action. This book gives you the clarity, confidence, and tools to drive meaningful change. Updated with the latest trends, case studies, and insights, including responsible and sustainable AI lifecycle governance, it walks you through every stage of developing and implementing a sustainable IT strategy. The book is structured in three parts. Part 1 explores the "why," grounding you in the reality of the urgent climate crisis we face today, how we arrived here, the planetary boundaries we must restore, and the broader impact of IT on society. Part 2 covers the "what," outlining the practical actions you can take to drive meaningful returns on sustainable investments and build a greener future. Part 3 focuses on the "how," establishing baselines, setting direction, and applying real-world case studies to help you translate intent to impactful global outcomes. Whether you're building a sustainability strategy from the ground up or enhancing existing initiatives, this book prepares you to lead the way with confidence and deliver outcomes that matter.
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Inhalt
- Cover
- Title Page
- Copyright Page
- Business Foreword
- Technology Foreword
- Contributors
- Table of Contents
- Preface
- Free Benefits with Your Book
- Part 1: Why Is Sustainable IT Important?
- Chapter 1: Our Most Significant Challenge Ahead
- Climate change - our most significant challenge ahead
- What are GHG emissions?
- How did we get here?
- Bending the curve
- The history of climate action
- Environmental sustainability
- Social sustainability
- Economic sustainability
- Triple bottom line - people, planet, and profit
- The Paris Agreement
- EU regulatory leadership
- GHG Protocol Corporate Standard
- Science-based targets
- Emerging biodiversity frameworks
- Sustainability trends
- Transitioning to a circular economy
- The climate impact of the IT industry
- Polarization and the need for courageous leadership
- Courageous leadership rooted in equity: building a sustainable digital future
- Summary
- Further reading
- Bibliography
- Chapter 2: Rise of Sustainable IT
- What is sustainable IT?
- Sustainability in IT, sustainability by IT, and IT for society
- Sustainable IT Greenhouse Gas Emission Taxonomy
- Corporate sustainability and sustainable IT
- Drivers for a Sustainability IT agenda
- IT sustainability impact
- ESG considerations for IT
- Financial value
- Circularity
- Return on Sustainability Investment (ROSI)
- IT cost and value optimization
- Hardware longevity
- Energy reduction
- Lean operations
- Non-financial value
- Improved brand perception
- Attracting like-minded customers
- Attracting and retaining talent
- Positive impact on society
- Reducing IT complexity
- Risks
- Employee engagement
- Readiness
- What does a sustainable IT organization look like?
- Summary
- Bibliography
- Part 2: What Are Sustainable IT Practices?
- Chapter 3: The Fundamental Building Blocks of a Sustainable IT Practice
- The unprecedented growth of IT
- Sustainable IT reference model
- IT sustainability teams and skills
- Standard metrics for IT ESG
- Responsible and sustainable AI Governance
- IT social sustainability
- IT infrastructure sustainability
- Data centers and the cloud
- Applications and architecture
- Data
- IT hardware management
- Energy resource management
- Leveraging buying power
- Sustainability by IT
- Summary
- Bibliography
- Chapter 4: Responsible and Sustainable AI Governance
- The case for RAI
- Leadership principles for RAI
- Governance models for RAI
- AI lifecycle governance
- Case study: Stanford Health Care's AI lifecycle governance
- Case study: How Rackspace Technology onboards AI
- Extending governance to agentic AI
- AI's environmental imperative
- Operationalizing responsible AI
- Sustainable AI runbook part 1: System design and development
- Step 1: Conduct a fit-for-purpose evaluation
- Step 2: Embed sustainability into AI's architecture
- Step 3: Conduct sustainability impact assessment
- Environmental impacts and metrics
- Sustainable AI runbook part 2: System deployment and monitoring
- Step 1: Mitigate environmental impact
- Step 2: Establish monitoring mechanisms
- Step 3: Define and implement continuous improvement processes
- Step 4: Institutionalize learnings and raise sustainability maturity
- Responsible AI best practices from award-winning implementations
- Best practices in RAI governance
- Summary
- Appendix: Standard IT metrics for RAI performance
- Further reading
- Bibliography
- Chapter 5: Social Sustainability: Accessibility, AI, and the Digital Divide
- Accessibility and inclusiveness by design
- The social promise and peril of AI
- Case study: Socially responsible AI governance at Cognizant
- AI literacy enables social sustainability
- IT and the digital divide
- The role of IT leaders in bridging the digital divide
- Case study: Edifecs digital community centers
- Case study: OTTO supply chain transparency and diversity
- Case study: How National Grid transformed ITAD into a channel for social impact
- Beyond traditional ITAD
- Lessons for sustainable ITAD leadership
- Social sustainability in tech procurement
- Template: Technology vendor social sustainability impact questionnaire
- Vendor social sustainability scorecard
- Summary
- Appendix: Standard metrics for IT social sustainability
- Further reading
- Bibliography
- Chapter 6: Data Centers and the Cloud
- Data centers: The backbone of our connected world
- Location
- Selecting the best location for your cloud-hosted computing
- Energy consumption
- Water management
- Biodiversity impacts
- Case study: Net-positive data centers
- Data center sustainability scorecard and standard metrics
- Sustainability in the cloud
- Measuring cloud-provider emissions
- Maximizing cloud sustainability through lifecycle governance
- Full-service lifecycle approach
- Optimizing cloud operations
- Lifecycle governance, culture, and accountability
- Overcoming the cloud's metric challenges
- Putting cloud emissions data to work
- From data to discipline: Embedding accountability across roles
- Tooling for cloud carbon measurement and action
- Specialist cloud carbon reporting tools
- FinOps platforms with sustainability modules
- Observability and APM tools with carbon insights
- A summary of practitioner guidance
- Summary
- Appendix: standard metrics for data center sustainability
- Further reading
- Bibliography
- Chapter 7: Applications and Architecture
- The world runs on software
- Transforming enterprise architecture to help achieve sustainability targets
- Principles of sustainable EA
- Getting started: An action plan
- Optimizing architecture in the cloud using best practice frameworks
- A pragmatic EA framework for sustainability tracking
- Application portfolio management
- Application rationalization process
- Application assessment criteria
- TIME analysis
- Sustainable software development
- Choosing energy-efficient programming languages
- Sustainable SDLC
- Plan
- Software design and development
- Software operations and maintenance
- Sustainable software engineering summary: the 3Rs principles
- Employee and team engagement
- Get involved with your peers
- Summary
- Appendix: Standard metrics for applications and software development sustainability
- Further reading
- Bibliography
- Chapter 8: Data
- How to minimize the impacts of data proliferation
- Case study: Sustainable dataset management at Choice Hotels
- AI data governance principles, actions, and KPIs
- Principle 1: Validity & Reliability
- Principle 2: Transparency & Explainability
- Principle 3: Fit for Purpose & Scalability
- Principle 4: Environmental Sustainability
- Principle 5: Accountability
- Centralized management of enterprise sustainability data
- Case study: Mastercard's approach to sustainability data management
- Summary
- Appendix: standard metrics for sustainable data governance
- Bibliography
- Chapter 9: IT Hardware Management
- Determining and comparing IT hardware's carbon impact
- The methodologies of carbon assessment
- Why is PCF and LCA reporting difficult?
- End-user hardware lifecycle assessment
- Server lifecycle assessment
- Managing the hardware lifecycle for sustainability
- Product design and manufacturing
- Product lifespan expansion
- Circular IT hardware management
- EU rules for circularity
- DPPs
- Right-to-repair requirements
- Traceable materials and ethical sourcing
- AI-powered circular IT hardware management
- End-of-life management
- Leveraging ITAD services
- Data sanitization
- Social responsibility - a key unlocking circular transition
- Making a business case for change
- Choosing a sustainable IT hardware provider
- Social sustainability of your computer vendors
- IT hardware sustainability scorecard
- Summary
- Appendix: Standard metrics for IT hardware sustainability
- Further reading
- Bibliography
- Chapter 10: Energy Resource Management
- Transitioning to a low-carbon future
- The energy mix
- Energy and foreign policy
- The importance of energy security in ICT
- Energy consumption from IT hardware
- The calculation for the energy consumption and carbon emissions of a laptop
- The calculation for the energy consumption and carbon emissions of a desktop PC
- The calculation for the energy consumption and carbon emissions of a server
- Summary of energy consumption and carbon emissions of ICT devices
- Understanding your energy consumption patterns
- Step-change to energy resource efficiency
- Buy resource-efficient hardware
- Take advantage of device and display settings
- Manage video conferencing
- Go virtual
- Manage remaining printers
- Explore smart tools
- Summary
- Appendix: standard metrics for IT energy sustainability
- Further reading
- Bibliography
- Chapter 11: Leveraging Your Buying Power
- Drivers of sustainable IT vendor procurement and management
- Fundamentals of sustainable IT procurement
- Corporate commitments
- Environmental
- Social
- Product and service
- Circularity
- The process
- Sustainable procurement programs in action
- Case study: Electrolux sustainable tech procurement program
- Challenge
- Solution
- Results
- Lessons learned
- Part 1: Electrolux's IT Sustainability Framework - hardware suppliers
- Part 2: Electrolux's IT Sustainability Framework - cloud and hosting services
- Case study: BNP Paribas' responsible AI tech procurement
- Best practices for influencing and partnering with your vendors
- Case study: From transparency to transformation - AI-assisted training for supplier enablement
- A holistic enablement approach
- Focus on decarbonization, not just data collection
- Training design: Empowerment through clarity
- The ESG chatbot
- Tangible results and lessons learned
- Case study: TUI Group's Green IT vendor award
- More sustainable procurement best practices
- Sustainable IT vendor management
- Step 1 - Establishing and maintaining the program
- Step 2 - Onboarding and divesting vendors
- Step 3 - Sustainable IT value realization
- Step 4 - Vendor lifecycle management
- Vendor management sustainability scorecard
- Summary
- Appendix: standard metrics for sustainable sourcing
- Further reading
- Bibliography
- Chapter 12: Sustainability by IT
- Ten use cases for sustainability by IT
- 1: Carbon emissions reporting
- 2: ESG risk management
- 3: Sustainable sourcing and manufacturing
- 4: Eco-friendly transportation
- 5: Energy-efficient buildings
- 6: Energy resource management
- 7: Hybrid work
- 8: Eco-friendly business travel
- 9: Development of e-services
- 10: PaaS
- Enabling a circular economy
- Case study: Reinventing laundry through Haier's circular subscription model
- Case study: AI and remanufacturing at Nordic truck company
- The need to increase the pace of innovation
- Innovating with hackathons
- Case study: ABN AMRO's sustainability hackathon
- Case study: Harnessing citizen-driven innovation - the Hack for Earth method
- Summary
- Appendix: Standard metrics for sustainability by IT
- Further reading
- Bibliography
- Part 3: How Do You Accelerate Sustainable IT?
- Chapter 13: Get Started Today
- Establishing your starter goals and strategy
- Taking action
- Top 10 most common starting actions for IT sustainability
- Case study: IT sustainability first steps at TUI Group
- First steps: team building and targets
- The Sustainable IT Maturity Model©
- The 11 capabilities of the Sustainable IT Maturity Model©
- The five maturity levels of the Sustainable IT Maturity Model©
- Level 1 - beginning
- Level 2 - unstructured
- Level 3 - defined
- Level 4 - managed
- Level 5 - optimized
- Using the Sustainable IT Maturity Model assessment
- How to work with your chief sustainability officer
- Where the CSO is coming from
- 1: Establish credibility through business value
- 2: Use common ground to bridge the gap
- 3: Build activity-based, decision-ready data
- 4: Drive AI solutions together
- What CSOs need most from IT
- What IT needs most from the CSO
- What about the CFO?
- Quantifying IT's impact
- Data centers and the cloud
- Geography - carbon intensity per region
- Power usage effectiveness
- Percentage of virtual CPUs
- Server utilization rate (CPU usage)
- Hardware-specific energy consumption
- IT hardware
- Energy management
- IT asset disposition
- Network traffic
- Establishing your sustainable IT emissions baseline
- Introduction
- Parameters and assumptions
- Setting up the emissions table
- IT asset registry
- Emissions baseline single year
- Simulating your target state
- Multi-year simulation
- Summary
- Bibliography
- Chapter 14: Putting a Sustainable IT Strategy in Place
- Introduction to the sustainable IT strategic planning process
- Sustainable IT strategy (input)
- External environment
- Internal environment
- Business environment
- Materiality assessment
- Sustainable IT strategic planning process
- Building the IT sustainability business case
- Sustainable IT strategy (output)
- Real-world sustainable IT strategies and programs
- Case study: Sustainability at Siemens
- Insights from green IT programs
- Sustainability strategy success factors and recommendations
- Factoring AI into your sustainability strategy
- AI and sustainability's strategic transformation of IT's workforce
- Creating your own sustainable IT strategy
- Materiality assessment
- Enterprise sustainability goals and priorities
- Enterprise sustainability strategy
- Sustainable IT strategy
- GHG IT baseline and forecast
- Setting your direction of travel toward a sustainable future
- Summary
- Bibliography
- Chapter 15: From Strategy to Execution - Lead with Purpose and Deliver Progress Quickly
- Purposeful leadership
- Preparing for external scrutiny
- Case study: IKEA's sustainability progress and the realities of leading at scale
- Breakthrough outcomes
- IT's contributions
- Ambition meets reality
- Setbacks and scrutiny
- Lessons in leadership
- The road ahead
- Bridging strategy to execution: your IT sustainability operating framework
- Scaling your impact
- Recommendations recap: bringing everything together
- Summary
- Bibliography
- Afterword
- Chapter 16: Unlock Your Exclusive Benefits
- Packt Page
- Other Books You May Enjoy
- Index
Preface
It's hard to believe that only a few years have passed since I wrote the first edition of this book. In that time, the world has changed in ways both inspiring and unsettling. The impacts of climate change are unmistakable: the years 2023 and 2024 were the hottest ever recorded, with unprecedented wildfires across Canada, Europe, and the Mediterranean; severe droughts in the Horn of Africa; and historic floods displacing millions in Brazil and Southeast Asia. Despite record solar and wind deployment, CO²e levels reached a record 57.7 gigatonnes in 2024, still climbing when they must fall by half this decade to preserve a livable planet. Global e-waste is the fastest-growing waste stream, surpassing 60 million metric tonnes annually, even as new policies such as the EU Digital Product Passport and Right-to-Repair Directive aim to reverse the tide.
Yet, amid the anxiety, we've also witnessed remarkable courage, ingenuity, and purpose. In the span of three years, the global renewable electricity capacity has increased by 49%, and solar energy production has more than doubled. Over 77% of global GDP now falls under a national net-zero commitment. Sustainability has moved from the edge of corporate strategy to its core-driven not only by regulators and investors, but by employees, customers, and communities demanding integrity and action.
Yet for IT, progress remains uneven. Hundreds of companies have established sustainable IT programs, GreenOps practices, and responsible AI principles. But many organizations still lack accurate baselines for IT emissions, and most AI deployments overlook lifecycle energy and water impacts or fail to consider whether large language model AI is even necessary at all for the application.
Indeed, the explosion of AI is rapidly transforming how organizations operate, make decisions, and create value. As a lifelong technologist, I have been inspired by AI's potential to accelerate progress on some of the world's hardest problems-from decarbonizing supply chains and optimizing grids to designing sustainable materials and medicines. But I've also seen how quickly innovation can outpace our ability to govern it responsibly.
The corporate AI boom has fueled unprecedented investment in digital infrastructure, but also unprecedented energy demand. The International Energy Agency now projects that global data center electricity consumption could exceed 1,000 TWh annually by 2026, roughly equivalent to Japan's total power use. The same algorithms that help us discover cleaner fuels or monitor deforestation are also driving a surge in emissions from massive AI training clusters and water-cooled data centers. The lesson is clear: technology itself must become sustainable, or its promise will be undermined by its own footprint.
In my previous role as chief information officer at ASSA ABLOY, a manufacturer of physical and digital access products, I established a sustainable IT emissions baseline and our sustainable IT strategy. That's when the idea for this book was born, with the goal of guiding other technology leaders on similar journeys. I hoped to provide a practical framework explaining not just "why," but "what" and "how," with IT sustainability "plays" that readers may choose and adapt to their context.
Since publication of the first edition, I have taken a new role as chief technology officer at Kuehne+Nagel, the world's largest air and sea freight forwarder and one of the largest global third-party logistics companies. My motivation was the greater opportunity for sustainability transformation impact that such a large logistics company represented. There, I am privileged to lead a passionate group of IT professionals committed to sustainable digital transformation.
Over this same period, I have interacted with sustainability leaders across the world and seen the rise of a growing ecosystem of professionals who view IT not only as a driver of digital progress but as a catalyst for planetary stewardship. What strikes me most about these collaborations is the spirit of shared purpose. Chief technology officers, enterprise architects, and engineers who once competed on features or costs are now comparing carbon intensities, renewable power contracts, AI life cycle governance models, and e-waste recovery rates. These are conversations that would have been rare-or even uncomfortable-a few years ago. Now, they are becoming the language of modern IT leadership.
Part of this ecosystem development has been led by SustainableIT.org, a global nonprofit founded in 2022 by sustainability-focused IT executives. SustainableIT has been a tireless engine of awareness and education, peer advisory research, and real-world best practices. That is the reason I asked their research principal, Richard (Rick) Pastore, to co-author the second edition of the book. Rick brings decades of research, communications, and guidance on IT strategy and leadership, and has eagerly embraced our tech sustainability challenges. I'm grateful for all the work he has put into revising the book and leveraging his organization's latest assets to bring it up to date. This edition integrates new insights on AI governance and energy intensity; digital product lifecycle planning; sustainable enterprise architecture; and the ethical, social, and economic dimensions of sustainable IT.
It draws on the collective intelligence of a growing movement-leaders and practitioners across industries and continents who are proving that IT can be high-performing, cost-responsible, and planet-positive.
My own motivation has deepened as well over this period. I no longer think about sustainability only in terms of professional responsibility, but as an intergenerational one. My children, now in school and growing up in a world of climate anxiety and digital wonder, remind me daily that technology is both our inheritance and our legacy. The systems we build today will either burden or empower their generation. That realization keeps me grounded in both urgency and optimism.
As we move into the second half of this decade and close in on our urgent 2030 targets, the IT community is forming a shared understanding: sustainability is no longer a constraint-it is the next frontier of innovation. Today's CIOs, CTOs, and CDOs are not just enablers of business efficiency-they are architects of sustainable transformation. Technology is how humanity solves problems at scale-and sustainability is the defining problem of our time. Our challenge is to bring these forces together, with humility, discipline, and imagination.
Let this book's second edition serve as both a guide and a call to action-for every IT leader who chooses to lead with purpose, accountability, and hope.
Niklas Sundberg
Who this book is for
This book is for executive IT leaders such as CIOs, CDOs, and CTOs dedicated to influencing, inspiring, and engaging businesses, organizations, and individuals to reduce their carbon footprint through Sustainable IT practices. It is also a practical guide for IT leaders of any level with responsibility for IT sustainability transformation.
What this book covers
The second edition of Sustainable IT Playbook for Technology Leaders distills insights from more than 60 contributing IT practitioners and sustainability experts, explores 20 new case studies, and presents the perspectives of CTOs/CIOs, chief architects, chief sustainability officers, and CEOs from industries including finance, manufacturing, healthcare, high tech, transportation, utilities, and hospitality. Each chapter includes resources such as benchmarks, frameworks, and principles; vendor score sheets and a master services agreement; a business case template; award-winning use cases, and standardized metrics relevant to every IT impact area. An IT Sustainability Reference Model helps to frame topics chapter by chapter.
Part 1: Why Is Sustainable IT Important?
Chapter 1, Our Most Significant Challenge Ahead, addresses the basics of climate change and the breadth and depth that digitalization and hyperconnectivity have on our planet and society.
Chapter 2, Rise of Sustainable IT, defines sustainable IT and summarizes the main drivers for a sustainable IT agenda. It probes the three aspects of sustainability in IT, sustainability by IT, and IT for society. Finally, it lays out IT's environmental, social, and governance (ESG) considerations.
Part 2: What Are Sustainable IT Practices?
Chapter 3, The Fundamental Building Blocks of a Sustainable IT Practice, is an introduction to the topics explored in depth in Part 2 of the book, which focuses on the main ingredients of a sustainable IT agenda. These include energy, emissions, AI, social impact, talent, metrics, and tech procurement.
Chapter 4, Responsible and Sustainable AI Governance, explores AI's ESG impacts, positive and negative, and provides AI lifecycle governance principles and frameworks for responsible and sustainable scaling.
Chapter 5, Social Sustainability: Accessibility, AI, and the Digital Divide, considers IT system inclusivity and accessibility, how to mitigate the social risks of AI systems, and ways that IT can directly shrink the digital divide.
Chapter 6, Data Centers and the Cloud, tackles the sustainability challenges of...
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