A Sustainable Future for Megacities?

Jon Wilton


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  • There were only 2 megacities globally in 1950.
  • Currently, there are 34, and this number is projected to reach 43 by 2030.
  • Megacities are expected to house 70% of the world's population by 2050.


According to the World Bank, 56% of the world's population, about 4.4 billion people, currently reside in urban areas. By mid-century, this number is expected to increase to 7 in 10 people.


As a result, cities are responsible for 70% of global energy consumption and 67-72% of carbon dioxide emissions. In addition, this ongoing shift toward urbanisation has led to the creation of megacities, which, due to their size, create both distinct environmental problems and solutions.


Cities and NDCs


Despite the number of climate-related disasters tripling in the last 30 years, causing rising death tolls, mass migrations and billions of dollars in damages, the majority of governments continue to miss the crucial role that cities play in achieving a net-zero future.


Many Nationally Determined Contributions (NDCs) explicitly reference urban strategies for both mitigation (e.g., reducing emissions from energy and transport) and adaptation (e.g., enhancing resilience to climate hazards like flooding).


As the role of cities comes under renewed scrutiny, we have taken the opportunity explore the relationship between megacities and climate change, and the potential for mitigating these impacts through sustainable urban planning and technological innovations.


We also discuss the importance of addressing social inequalities and promoting community participation in addressing urban challenges.


What is a Megacity?


Megacities, defined as urban areas with populations exceeding ten million, are increasingly common, particularly in developing countries. They offer economic opportunities but also pose significant environmental challenges, such as air and water pollution, resource scarcity, and rising temperatures.


The Top Five Megacities


As you can see from the table below, the top five megacities, ranked by population size, differ significantly in terms of GDP per capita and technological maturity (as per the Digital Cities Index):

These varying factors lead to a complicated picture when we assess the role of megacities and climate change. While some of the categories in this table contribute significantly more to climate impact than others—some offer distinct advantages that will help to offset emissions before 2050.


In order to better understand the interplay of these factors, let’s first look at the contributions of Population Size and Density.


Population Size: the Biggest Driver of CO2


Population size is generally considered the primary driver of total CO2 emissions in cities. According to studies, there is a near 1:1 relationship between population size and CO2 emissions, meaning that as population increases, emissions also increase proportionally.


For example, the 50 largest cities globally emit about 2,600 megatons of CO2 annually, which is more than some entire countries, like Russia or Japan.


Additionally, in rapidly growing megacities (particularly in Asia), population growth rates can reach 4% per year, while emissions growth can be as high as 10% per year.


Density: Pros & Cons


Population density offers potential savings in terms of reducing emissions per capita by enabling more efficient infrastructure and shorter transport distances.


Research shows that a 1% increase in population density can lead to a 0.79% reduction in CO2 emissions per capita, primarily due to more efficient transportation networks and energy use.


High density can also lead to increased energy demand for buildings (heating/cooling) and waste management challenges. In urban slums, where a high population density is served by poor infrastructure and a lack of waste management and planning, there is exacerbated pollution and resource strain.


The relationship between population size and density is complex and is perhaps best understood on a case by case basis. While larger populations inherently produce more emissions, higher density can mitigate some of these effects by promoting more efficient urban infrastructure.


A study in Nature Sustainability examining 120 major cities found that improving public transport systems and increasing urban density could reduce transport-related CO2 emissions by up to 31% over 15 years.


Tokyo Case Study


Tokyo is the most populated city in the world, but it has the second lowest density on our list; and it is ranked first for GDP per capital, GMP, and the Digital Cities Index.


Tokyo boasts advanced smart systems like real-time sensor and camera-based traffic management and innovative energy-efficient building codes. Similar to Berlin, Tokyo is committed to reducing greenhouse gas emissions by 80% by 2050.


To achieve this, the city has made ambitious pledges in its comprehensive Zero Emission Tokyo Strategy, which aims to achieve net-zero CO2 emissions by 2050.


Tokyo is focusing heavily on urban infrastructure and green energy to reduce emissions:


  • By 2050, all buildings in Tokyo are expected to be zero-emission buildings, with energy efficiency measures and renewable energy use integrated into their design.

  • In transportation, Tokyo aims to have 50% of new passenger cars as ZEVs by 2030, with a long-term goal of making all vehicles zero-emission by 2050. The city is also investing in ZEV infrastructure, including fast chargers and hydrogen stations.

  • Tokyo is committed to expanding renewable energy use, with a target of 50% renewable electricity by 2030.


Local Impact of Megacities


The current global rallying call for environmental action, following the Paris Agreement, prioritises action to reduce greenhouse gas emissions to avoid catastrophic climate events. But there are many other local environmental effects from megacities that affect biodiversity, deforestation, pollution, and other factors that have a knock-on effect on climate change.


Here are some key environmental impacts:


Air Pollution: Cities like Beijing and Delhi experience air pollution levels that often exceed World Health Organisation (WHO) recommendations.


Water Pollution and Scarcity:  The rapid growth of megacities often leads to water pollution and scarcity. For instance, Mexico City faces significant challenges with water supply due to its location on a lakebed, leading to subsidence and limited access to clean water.


Heat Island Effect:  Urban areas in megacities tend to be warmer than their rural surroundings due to human activities and infrastructure, a phenomenon known as the heat island effect.


Waste Management: The sheer volume of waste generated in megacities poses significant challenges for waste management systems, often leading to environmental contamination if not properly managed.


Impact on Biodiversity:  The expansion of megacities often leads to habitat destruction and fragmentation, impacting local biodiversity. This urban sprawl can encroach on natural areas, reducing habitats for wildlife.


These environmental impacts highlight the urgent need for sustainable urban planning and management strategies in megacities to mitigate adverse effects on both local and global environments.


Future Megacities: Neom


Neom is designed to be a futuristic megacity that spans 26,500 square kilometres, an area roughly 33 times the size of New York City. The project has a budget of $500 billion and aims to house upwards of 10 million people in its various regions. At the heart of this development is ‘The Line’, a 170-kilometre-long linear city that will be entirely car-free and powered by renewable energy sources like solar and wind.


Neom's sustainability vision is unparalleled in its scope and ambition. Here are some key aspects that make it a potential blueprint for future sustainable cities:


  • 100% Renewable Energy: Neom aims to be powered entirely by renewable energy by 2030, leveraging its unique solar and wind resources. The city will also host one of the world's largest green hydrogen plants, which will provide clean energy for both industrial and residential use.

  • Zero Carbon Emissions: ‘The Line’ will operate with zero carbon emissions, eliminating the need for cars and traditional road networks by using autonomous electric vehicles and high-speed transit systems. This focus on clean transportation could drastically reduce pollution and congestion.

  • Circular Waste Management: Neom plans to recycle 100% of its wastewater, using it for agriculture, landscaping, and energy production through biogas. This closed-loop system aims to minimise waste and prevent pollution.

  • Biodiversity Preservation: Over 95% of Neom's land will remain untouched, preserving natural ecosystems while integrating urban development with green spaces. This approach prioritises habitat conservation alongside urban expansion.


Neom’s influence on future urban development could be profoundly influential, as it aims to redefine how cities are built, operated, and lived in.


Bristol Case Study: Successful Public-Private Partnerships


Although far from a megacity, Bristol in the UK offers a prime example of successful public-private partnerships (PPPs) to boost funding for sustainable initiatives in urban planning. The Bristol City Leap initiative focuses on achieving city-scale decarbonisation by installing low carbon energy infrastructure, primarily funded and delivered by the private sector. The goal is for the JV to attract £1bn in investment over the partnership’s duration, with at least £42m committed by 2027. This level of funding would have been difficult for the city to achieve through public sources alone. The private sector involvement allows cities to undertake ambitious projects without overburdening public finances.


Megacities should likewise aim to form similar public-private partnerships to fund city-wide infrastructure projects. PPPs can help cities accelerate their sustainability progress by leveraging private sector expertise in technology and project management. Furthermore, these schemes generate jobs and economic growth, and allow risk to be shared among public and private ventures.


Conclusion


As this article has explored, megacities are complex entities with a significant impact on the global environment. While they present considerable challenges, they also offer an unparalleled opportunity to pioneer innovative solutions for a sustainable future. COP29 represents a pivotal moment to acknowledge the vital role of cities in achieving climate goals and to translate commitments into concrete action.


The lack of comprehensive urban focus in many national climate plans is a concerning trend. Governments must move away from a siloed, sector-specific approach and recognise cities as integrated systems capable of driving transformative change. The success of city-led initiatives in Freetown, Bogotá, and Seoul, alongside ambitious projects like Neom, demonstrates the power of urban innovation to address pressing environmental challenges. These initiatives highlight the potential of cities to reduce emissions, enhance resilience, and create a more sustainable and equitable future for their residents.


However, these examples represent just a fraction of what is possible. The scale of the climate crisis demands a collective, global effort. This is where organisations like Cambridge Management Consulting, with their expertise in sustainability, retail, property, and manufacturing, have a crucial role to play.


By partnering with megacities and governments, Cambridge Management Consulting and edenseven can provide the strategic guidance, innovative solutions, and implementation support needed to accelerate the transition to a low-carbon, climate-resilient future. Our public sector expertise can also be leveraged to create and foster public-private partnerships, to drive funding for large-scale sustainability projects that support a long-term vision.


Select References: [1] https://eventscustom.economist.com/navigating-the-concrete-jungle-insight-hour/ [2] https://www.futuresplatform.com/blog/scenarios-future-megacities-urbanisation [3] https://ui.adsabs.harvard.edu/abs/2012EGUGA..14.8846G/abstract [4] https://www.arabnews.com/node/2495731 [5] https://populationconnection.org/blog/megacities-population-growth-climate-change/ [6] https://www.iberdrola.com/sustainability/megacities-urban-area [7] https://www.oxfordeconomics.com/resource/rise-of-new-megacities-will-drive-global-urban-growth/ [8] https://www.weforum.org/stories/2016/01/what-will-it-be-like-to-live-in-a-megacity-in-2100/


Other Sources:


1. The Economist Impact: "Navigating the Concrete Jungle" – Insight into sustainable urbanization challenges today that can be extrapolated into future trends.

2. Futures Platform: "Four Scenarios on the Future of Megacities" – Detailed scenarios that outline potential futures for megacities based on current trends.

3. Population Connection: "Megacities, Megarisks" – Focuses on how population growth exacerbates climate vulnerabilities in developing-world megacities.

4. Iberdrola: "Megacities' Definition and Characteristics" – Highlights key sustainability challenges faced by future megacities along with innovative solutions.

5. Arab News: "Solving Urban Challenges in the 22nd Century" – Discusses urban planning challenges specific to developing countries with a focus on vertical cities.

6. Oxford Economics: "Rise of New Megacities Will Drive Global Urban Growth" – Provides forecasts on population growth trends across major global cities up until 2050.


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by Darren Sheppard 4 December 2025
What is the Contract Lifecycle Management and Why does it Matter? The future success of your business depends on realising the value that’s captured in its contracts. From vendor agreements to employee documents, everywhere you look are commitments that need to be met for your business to succeed. The type of contract and the nature of goods or services it covers will determine what sort of management activities might be needed at each stage. How your company is organised will also determine which departments or individuals are responsible for what activities at each stage. Contract Lifecycle Management, from a buyer's perspective, is the process of defining and designing the actual activities needed in each stage for any specific contract, allocating ownership of the activities to individuals or groups, and monitoring the performance of those activities as the contract progresses through its lifecycle. The ultimate aim is to minimise surprises, ensure the contracted goods or services are delivered by the vendor in accordance with the contract, and realise the expected business benefits and value for money. The Problem of Redundant Spend in Contracts Despite the built-in imbalance of information favoring suppliers, companies still choose to oversee these vendors internally. However, many adopt a reactive, unstructured approach to supplier management and struggle to bridge the gap between contractual expectations and actual performance. Currently, where governance exists, it is often understaffed, with weak, missing, or poorly enforced processes. The focus is primarily on manual data collection, validation, and basic retrospective reporting of supplier performance, rather than on proactively managing risk, relationships, and overall performance. The amount of redundant spend in contracts can vary widely depending on the industry, the complexity of the contracts, and how rigorously they are managed. For further information on this, Cambridge MC’s case studies provide insights into typical ranges and common sources of redundant spend. As a general estimate, industry analysts often state that redundant spend can account for as much as 20% of total contract value. In some cases, especially in poorly managed contracts, this can be much higher. What is AI-driven Contract Management? Artificial Intelligence (AI) is redefining contract management, transforming a historically time-consuming and manual process into a streamlined, efficient, and intelligent operation. Traditionally, managing contracts required legal teams to navigate through extensive paperwork, drafting, reviewing, and monitoring agreements — a process prone to inefficiencies and human error. With the emergence of artificial intelligence, particularly generative AI and natural language processing (NLP), this area of operations is undergoing a paradigm shift. This step change is not without concerns however, as there are the inevitable risks of AI hallucinations, training data biases and the threat to jobs. AI-driven contract management solutions not only automate repetitive tasks but also uncover valuable insights locked up in contract data, improving compliance and reducing the risks that are often lost in reams paperwork and contract clauses. Put simply, AI can automate, analyse, and optimise every aspect of your contract lifecycle. From drafting and negotiation to approval, storage, and tracking, AI-powered platforms enhance precision and speed across these processes; in some cases reducing work that might take several days to minutes or hours. By discerning patterns and identifying key terms, conditions, and concepts within agreements, AI enables businesses to parse complex contracts with ease and efficiency. In theory, this empowers your legal and contract teams (rather than reducing them), allowing personnel to focus on high-level tasks such as strategy rather than minutiae. However, it is important to recognise that none of the solutions available in the marketplace today offer companies an integrated supplier management solution, combining a comprehensive software platform, capable of advanced analytics, with a managed service. Cambridge Management Consulting is one of only a few consultancies that offers fully integrated Contract Management as a Service (CMaaS). Benefits of Integrating AI into your Contract Lifecycle Management Cambridge MC’s Contract Management as a Service (CMaaS) 360-degree Visibility: Enable your business to gain 360-degree visibility into contracts and streamline the change management process. Real-time Data: Gain real-time performance data and granularly compare it against contractually obligated outcomes. More Control: Take control of your contracts and associated relationships with an integrated, centralised platform. Advanced meta data searches provide specific information on external risk elements, and qualitative and quantitative insights into performance. Reduces Costs: By automating manual processes, businesses can significantly reduce administrative costs associated with contract management. AI-based solutions eliminate inefficiencies in the contract lifecycle while minimising reliance on external legal counsel for routine tasks. Supplier Collaboration: Proactively drive supplier collaboration and take a data-driven approach towards managing relationships and governance process health. Enhanced Compliance: AI tools ensure that contracts adhere to internal policies and external regulations by flagging non-compliant clauses during the drafting or review stage. This proactive approach reduces the risk of costly disputes or penalties. Reduces Human Errors: In traditional contract management processes, human errors can lead to missed deadlines and hidden risks. AI-powered systems use natural language processing to identify inconsistencies or inaccuracies in contracts before they escalate into larger issues. Automates Repetitive Tasks: AI-powered tools automate time-consuming tasks such as drafting contracts, reviewing documents for errors, and extracting key terms. This frees up legal teams to focus on higher-value activities like strategic negotiations and risk assessment. We can accurately model and connect commercial information across end-to-end processes and execution systems. AI capabilities then derive and apply automated commercial intelligence (from thousands of commercial experts using those systems) to error-proof complex tasks such as searching for hidden contract risks, determining SLA calculations and performing invoice matching/approvals directly against best-in-class criteria. Contract management teams using AI tools reported an annual savings rate that is 37% higher than peers. Spending and tracking rebates, delivery terms and volume discounts can ensure that all of the savings negotiated in a sourcing cycle are based on our experience of managing complex contracts for a wide variety of customers. Our Contract Management as a Service, underpinned by AI software tooling, has already delivered tangible benefits and proven success. 8 Steps to Transition Your Organisation to AI Contract Management Implementing AI-driven contract management requires a thoughtful and structured approach to ensure seamless integration and long-term success. By following these key steps your organisation can avoid delays and costly setbacks. Step 1 Digitise Contracts and Centralise in the Cloud: Begin by converting all existing contracts into a digital format and storing them in a secure, centralised, cloud-based repository. This ensures contracts are accessible, organised, and easier to manage. A cloud-based system also facilitates real-time collaboration and allows AI to extract data from various file formats, such as PDFs and OCR-scanned images, with ease. Search for and retrieve contracts using a variety of advanced search features such as full text search, Boolean, regex, fuzzy, and more. Monitor upcoming renewal and expiration events with configurable alerts, notifications, and calendar entries. Streamline contract change management with robust version control and automatically refresh updated metadata and affected obligations. Step 2 Choose the Right AI-Powered Contract Management Software: Selecting the right software is a critical step in setting up your management system. Evaluate platforms based on their ability to meet your organisation’s unique contracting needs. Consider key factors such as data privacy and security, integration with existing systems, ease of implementation, and the accuracy of AI-generated outputs. A well-chosen platform will streamline workflows while ensuring compliance and scalability. Step 3 Understand How AI Analyses Contracts: To make the most of AI, it’s essential to understand how it processes contract data. AI systems use Natural Language Processing (NLP) to interpret and extract meaning from human-readable contract terms, while Machine Learning (ML) enables the system to continuously improve its accuracy through experience. These combined technologies allow AI to identify key clauses, conditions, and obligations, as well as extract critical data like dates, parties, and legal provisions. Training your team on these capabilities will help them to understand the system and diagnose inconsistencies. Step 4 Maintain Oversight and Validate AI Outputs: While AI can automate repetitive tasks and significantly reduce manual effort, human oversight is indispensable. Implement a thorough process for spot-checking AI-generated outputs to ensure accuracy, compliance, and alignment with organisational standards. Legal teams should review contracts processed by AI to verify the integrity of agreements and minimise risks. This collaborative approach between AI and human contract management expertise ensures confidence in the system. Step 5 Refine the Data Pool for Better Results: The quality of AI’s analysis depends heavily on the data it is trained on. Regularly refine and update your data pool by incorporating industry-relevant contract examples and removing errors or inconsistencies. A well-maintained data set enhances the precision of AI outputs, enabling the system to adapt to evolving business needs and legal standards. Step 6 Establish Frameworks for Ongoing AI Management: To ensure long-term success, set clear objectives and measurable goals for your AI contract management system. Define key performance indicators (KPIs) to track progress and prioritise features that align with your organisation’s specific requirements. Establish workflows and governance frameworks to guide the use of AI tools, ensuring consistency and accountability in contract management processes. Step 7 Train and Empower Your Teams: Equip your teams with the skills and knowledge they need to use AI tools effectively. Conduct hands-on training sessions to familiarise users with the platform’s features and functionalities. Create a feedback loop to gather insights from your team, allowing for continuous improvement of the system. Avoid change resistance by using change management methodologies, as this will foster trust in the technology and drive successful adoption. Step 8 Ensure Ethical and Secure Use of AI: Tools Promote transparency and integrity in the use of AI-driven contract management. Legal teams should have the ability to filter sensitive information, secure data within private cloud environments, and trace data back to its source when needed. By prioritising data security and ethical AI practices, organisations can build trust and mitigate potential risks. With the right tools, training, and oversight, AI can become a powerful ally in achieving operational excellence as well as reducing costs and risk. Overcoming the Technical & Human Challenges While the benefits are compelling, implementing AI in contract management comes with some unique challenges which need to be managed by your leadership and contract teams: Data Security Concerns: Uploading sensitive contracts to cloud-based platforms risks data breaches and phishing attacks. Integration Complexities: Incorporating AI tools into existing systems requires careful planning to avoid disruptions and downtime. Change Fatigue & Resistance: Training employees to use new technologies can be time-intensive and costly. There is a natural resistance to change, the dynamics of which are often overlooked and ignored, even though these risks are often a major cause of project failure. Reliance on Generic Models: Off-the-shelf AI models may not fully align with your needs without detailed customisation. To address these challenges, businesses should partner with experienced providers who specialise in delivering tailored AI-driven solutions for contract lifecycle management. Case Study 1: The CRM That Nobody Used A mid-sized company invests £50,000 in a cutting-edge Customer Relationship Management (CRM) system, hoping to streamline customer interactions, automate follow-ups, and boost sales performance. The leadership expects this software to increase efficiency and revenue. However, after six months: Sales teams continue using spreadsheets because they find the CRM complicated. Managers struggle to generate reports because the system wasn’t set up properly. Customer data is inconsistent, leading to missed opportunities. The Result: The software becomes an expensive shelf-ware — a wasted investment that adds no value because the employees never fully adopted it. Case Study 2: Using Contract Management Experts to Set Up, Customise and Provide Training If the previous company had invested in professional services alongside the software, the outcome would have been very different. A team of CMaaS experts would: Train employees to ensure adoption and confidence in using the system. Customise the software to fit business needs, eliminating frustrations. Provide ongoing support, so issues don’t lead to abandonment. Generate workflows and governance for upward communication and visibility of adherence. The Result: A fully customised CRM that significantly improves the Contract Management lifecycle, leading to: more efficient workflows, more time for the contract team to spend on higher value work, automated tasks and event notifications, and real-time analytics. With full utilisation and efficiency, the software delivers real ROI, making it a strategic investment instead of a sunk cost. Summary AI is reshaping the way organisations approach contract lifecycle management by automating processes, enhancing compliance, reducing risks, and improving visibility into contractual obligations. From data extraction to risk analysis, AI-powered tools are empowering legal teams with actionable insights while driving operational efficiency. However, successful implementation requires overcoming challenges such as data security concerns and integration complexities. By choosing the right solutions, tailored to their needs — and partnering with experts like Cambridge Management Consulting — businesses can overcome the challenges and unlock the full potential of AI-based contract management. A Summary of Key Benefits Manage the entire lifecycle of supplier management on a single integrated platform Stop value leakage: as much as 20% of Annual Contract Value (ACV) Reduce on-going governance and application support and maintenance expenses by up to 60% Deliver a higher level of service to your end-user community. Speed without compromise: accomplish more in less time with automation capabilities Smarter contracts allow you to leverage analytics while you negotiate Manage and reduce risk at every step of the contract lifecycle Up to 90% reduction in creating first drafts Reduction in CLM costs and extraction costs How we Can Help Cambridge Management Consulting stands at the forefront of delivering innovative AI-powered solutions for contract lifecycle management. With specialised teams in both AI and Contract Management, we are well-placed to design and manage your transition with minimal disruption to operations. We have already worked with many public and private organisations, during due diligence, deal negotiation, TSAs, and exit phases; rescuing millions in contract management issues. Use the contact form below to send your queries to Darren Sheppard , Senior Partner for Contract Management. Go to our Contract Management Service Page
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