Unleash the AI-Circular Economy "Flywheel": 17 trailblazing companies (without harming the environment) (3-Minutes Read)

Hey Circular Economy Enthusiasts! 👋

This week, let's dive into a hot topic:

Can AI really help us build a circular economy, or is it just adding to the problem with its huge energy demands?🤔.

The current AI Sustainability Paradox is:

"AI can be used to address environmental issues and improve sustainability efforts - but its creation and operation come with substantial environmental costs"

The Bad (in short, only looking at environment):

The negative consequences for the environment are becoming clearer by the day.

❌ Massive energy demand.

❌ Water Consumption: AI data centres require vast amounts of water for cooling.

❌ Carbon emissions: Training one AI model can create as much carbon as five cars!

❌ E-Waste Generation: The hardware used contributes significantly to electronic waste.

❌ Unsustainable mining: The hardware relies on rare earth elements and critical minerals.

The Good: How AI can power circularity♻️

On the other hand, AI can analyse mountains of data to slash waste, boost efficiency, predict equipment failures, extend lifespans and reducing the need for new material through better designs.

5 use cases how AI drives more circularity are:

1. 🗑️ Smarter Waste Sorting
2. 📐 Circular Design
3. 🔮 Predictive Analytics for Waste
4. 🧪 New Sustainable Materials
5. Everything as a Service (XaaS) - Models

1. 🗑️ Smarter Waste Sorting: AI-powered systems dramatically improve recycling accuracy. Examples:

• ​Recycleye Vision: advanced AI-powered computer vision system designed to boosting output in waste sorting and recycling processes.
• ​Amp Robotics: deploys AI-powered robots to sort materials faster and more accurately than manual sorting.
• ​ZenRobotics: uses AI and robots to sort construction and demolition waste, recovering valuable materials.
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2. 📐 Circular Design: AI helps designers pick the right materials and structures to maximise product life. Examples:

• ​Granta MI by Ansys: provides material intelligence, helping engineers select sustainable materials for product design.
• ​Autodesk Fusion 360 Generative Design:uUses AI to generate multiple design options based on specified criteria, including sustainability.
• ​Circularise: traces materials throughout the supply chain, promoting transparency and enabling circular design decisions.
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3. 🔮 Predictive Analytics: AI optimises waste collection routes, saving fuel and reducing emissions. Examples:
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• ​Compology: uses sensors and AI to optimise waste collection routes, reducing fuel consumption.
• ​Enevo: provides smart waste management solutions using sensor data and AI to optimise waste collection and recycling.
• ​SmartBin: offers remote waste monitoring solutions, using sensors and data analytics to improve waste collection efficiency.
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4. 🧪 New Sustainable Materials: AI is accelerating the discovery of eco-friendly alternatives to traditional materials. Examples:
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• ​Citrine Informatics: uses AI to accelerate the development of new (bio-based) materials.
• ​Kebotix: uses AI to discover new molecules and materials, with a focus on sustainable solutions.
• ​Exabyte.io: offers a cloud-based platform for materials modelling, accelerating the discovery of new materials with desired properties.
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5. "Everything as a Service" (XaaS) Business Models: AI can optimise asset use and maintenance. Examples:

• ​ServiceMax: ofers field service management software that optimizes asset maintenance and extends equipment lifecycles.
• ​Uptake: helps optimise asset utilisation and reduce downtime.
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Plus: There are some less known use cases.🤔

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6. Greener server solutions (ex: https://www.swissvault.global/ )

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7. Have you heard of Sustainable Agriculture with AI 🌾? (exhttps://ecorobotix.com/en/)
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or

8. AI in Carbon Sequestration 🌍? develop AI-driven materials for CO2 capture by https://www.cusp.ai/.

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​What's needed: An AI-Circular Economy "Flywheel"

To fully unleash AI's potential - we need the right data at the right time - in the right hands.

1. AI-Powered Data Collection & Analysis: Sensors, image recognition gather real-time data on waste streams, material composition, and product lifecycles.
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2. Insights & Optimisation: AI algorithms analyze data to identify inefficiencies, predict equipment failures, and optimize material choices for recyclability and longevity.
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3. Circular Actions: AI drives smarter waste sorting, predictive maintenance, design for circularity, and enables "Everything as a Service" (XaaS) models.
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4. Improved Outcomes: Results in reduced waste, extended product lifecycles, increased resource efficiency, and the development of new sustainable materials.
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5. Smart Supply Chain Optimisation: AI-driven platforms analyze route efficiency, vendor performance, and demand forecasting to reduce material wastage across multiple tiers.

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The Bottom Line (for now)

AI isn't a magic bullet, but it's a powerful tool.
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To make sure it helps, not hurts, the planet, we need to:

• Trusted, relevant and high quality data is accessible.
• ⚡ Power AI with green energy.
• 💡 Develop more energy-efficient AI algorithms.
• 🌱 Support policies that encourage sustainable AI for circularity
• And a proper AI Governance!

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What do you think: Will AI bring more good or bad?

I will make it a big priority 2025 - DM me if you want to collaborate, have resources, know how or projects.

Next events where we can find each other:

6-9 March 2025: Ski-tour Weekend "AI, sustainability & circularity": Innsbruck/Austria). Sign up link.​

11 March 2025: Circular Design Summit:Stuttgart/Germany.

​Get -20% off your ticket with this discount code: HaraldPromo0625!
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12/13 March 2025: Circular Valley Convention: Düsseldorf/Germany.

​Get your ticket with my discount code: „HFCEIACVC25“: -100€ for 2-day ticket und -50€ für a 1-day-ticket.

13 March 2025: Dutch Circular Economy Week, Delft/Netherlands (Collaboration with Hogeschool Inholland).

2 April 2025: Circulator - Circular Start up Event, Amsterdam/Netherlands

8 April 2025: Plant Fwd, Amsterdam/Netherlands

15 Mai 2025: Smart City Summit 2025, Vienna/Austria

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