Hong Kong startup targets lithium battery waste with AI-powered recycling system
Lithium battery waste is piling up, and a Hong Kong-based startup is showing the world how to clean it up smartly.
Achelous Pure Metals has developed a portable, eco-friendly recycling system designed to process used lithium-ion batteries right in urban centers, according to a report on SCMP.
The five-year-old company has built a robot-assisted pilot line that can sort, shred, and filter materials from non-electric vehicle (EV) batteries.
The process includes vacuum and heat treatment to safely extract hazardous substances like epoxy adhesives and fluorine gases.
Another pilot system, which uses nanoparticle-based separation, helps isolate and refine critical metals like lithium, cobalt, and nickel from the so-called 'black mass'—a powdery residue left after crushing batteries.
The firm's goal is to bring scalable and movable recycling to cities, starting with Hong Kong and eventually expanding across Southeast Asia.
'Our goal is to tackle the growing problem of discarded lithium-ion batteries by bringing scalable, movable, eco-friendly recycling to urban centres starting in Hong Kong, with plans to expand to [Southeast] Asia,' Alan Wong Yuk-chun, co-founder and technical director of the startup told SCMP.
While the startup has deployed its technology at a client facility in Jiangsu province that can process up to 10,000 tonnes of battery waste annually, it's facing hurd+6les. A surge in China's recycling capacity has led to a scramble for black mass, while the prices of end products have been falling rapidly.
'Our client's factory has to compete for black mass at higher and higher prices, while the prices of end-products like lithium carbonate keep falling amid oversupply,' said Shawn Cheng, the company's co-founder and R&D director.
Battery-grade lithium carbonate, once dubbed 'white gold,' dropped nearly 90 percent in price—from 568,000 yuan in November 2022 to just 60,600 yuan per tonne in May 2024, according to Daiwa Capital Markets. Global lithium oversupply is expected to peak by 2027 before swinging into a deficit early next decade, forecasts UK-based consultancy Wood Mackenzie.
In response, the Hong Kong Science and Technology Park-based startup is pivoting. It's building out its Hong Kong operation and helping companies across Southeast Asia establish 'micro-factories' that can turn discarded batteries into black mass for export to China.
The company is also in talks with local firms to recycle lithium batteries from security transceivers, and exploring opportunities in Malaysia and Singapore for e-waste recovery.
'We want to help [our] partners meet their future recycled content obligations and set up a system to keep track of the materials' footprint for compliance,' Cheng said.
The world is staring at a mounting e-waste crisis. In 2022 alone, about 62 million tonnes of electronic waste were generated globally—enough to circle the planet in bumper-to-bumper tractor-trailers, according to a 2024 UN report.
That figure is projected to hit 82 million tonnes by 2030, with metals such as copper, gold, and iron making up nearly half the total, valued at an estimated $91 billion.
Yet just 22 percent of this waste was properly collected and recycled in 2022, and that figure is expected to drop even further by the decade's end.
The UN attributes this to ballooning consumption, limited repair options, shorter product lifespans, and inadequate recycling infrastructure.
In response, governments are tightening the screws. New EU regulations mandate lithium recovery rates of 50 percent by 2027 and 80 percent by 2031, with recovery targets for metals like cobalt, copper, and nickel climbing as high as 95 percent.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Forbes
21 minutes ago
- Forbes
Multimodal AI: A Powerful Leap With Complex Trade-Offs
Artificial intelligence is evolving into a new phase that more closely resembles human perception and interaction with the world. Multimodal AI enables systems to process and generate information across various formats such as text, images, audio, and video. This advancement promises to revolutionize how businesses operate, innovate, and compete. Unlike earlier AI models, which were limited to a single data type, multimodal models are designed to integrate multiple streams of information, much like humans do. We rarely make decisions based on a single input; we listen, read, observe, and intuit. Now, machines are beginning to emulate this process. Many experts advocate for training models in a multimodal manner rather than focusing on individual media types. This leap in capability offers strategic advantages, such as more intuitive customer interactions, smarter automation, and holistic decision-making. Multimodal has already become a necessity in many simple use cases today. One example of this is the ability to comprehend presentations which have images, text and more. However, responsibility will be critical, as multimodal AI raises new questions about data integration, bias, security, and the true cost of implementation. Multimodal AI allows businesses to unify previously isolated data sources. Imagine a customer support platform that simultaneously processes a transcript, a screenshot, and a tone of voice to resolve an issue. Or consider a factory system that combines visual feeds, sensor data, and technician logs to predict equipment failures before they occur. These are not just efficiency gains; they represent new modes of value creation. In sectors like healthcare, logistics, and retail, multimodal systems can enable more accurate diagnoses, better inventory forecasting, and deeply personalized experiences. In addition, and perhaps more importantly, the ability of AI to engage with us in a multimodal way is the future. Talking to an LLM is easier than writing and then reading through responses. Imagine systems that can engage with us leveraging a combination of voice, videos, and infographics to explain concepts. This will fundamentally change how we engage with the digital ecosystem today and perhaps a big reason why many are starting to think that the AI of tomorrow will need something different than just laptops and screens. This is why leading tech firms like Google, Meta, Apple, and Microsoft are heavily investing in building native multimodal models rather than piecing together unimodal components. Despite its potential, implementing multimodal AI is complex. One of the biggest challenges is data integration, which involves more than just technical plumbing. Organizations need to feed integrated data flows into models, which is not an easy task. Consider a large organization with a wealth of enterprise data: documents, meetings, images, chats, and code. Is this information connected in a way that enables multimodal reasoning? Or think about a manufacturing plant: how can visual inspections, temperature sensors, and work orders be meaningfully fused in real time? That's not to mention the computing power multimodal AI require, which Sam Altman referenced in a viral tweet earlier this year. But success requires more than engineering; it requires clarity about which data combinations unlock real business outcomes. Without this clarity, integration efforts risk becoming costly experiments with unclear returns on investment. Multimodal systems can also amplify biases inherent in each data type. Visual datasets, such as those used in computer vision, may not equally represent all demographic groups. For example, a dataset might contain more images of people from certain ethnicities, age groups, or genders, leading to a skewed representation. Asking a LLM to generate an image of a person drawing with their left hand remains challenging – leading hypothesis is that most pictures available to train are right-handed individuals. Language data, such as text from books, articles, social media, and other sources, is created by humans who are influenced by their own social and cultural backgrounds. As a result, the language used can reflect the biases, stereotypes, and norms prevalent in those societies. When these inputs interact, the effects can compound unpredictably. A system trained on images from a narrow population may behave differently when paired with demographic metadata intended to broaden its utility. The result could be a system that appears more intelligent but is actually more brittle or biased. Business leaders must evolve their auditing and governance of AI systems to account for cross-modal risks, not just isolated flaws in training data. Additionally, multimodal systems raise the stakes for data security and privacy. Combining more data types creates a more specific and personal profile. Text alone may reveal what someone said, audio adds how they said it, and visuals show who they are. Adding biometric or behavioral data creates a detailed, persistent fingerprint. This has significant implications for customer trust, regulatory exposure, and cybersecurity strategy. Multimodal systems must be designed for resilience and accountability from the ground up, not just performance. Multimodal AI is not just a technical innovation; it represents a strategic shift that aligns artificial intelligence more closely with human cognition and real business contexts. It offers powerful new capabilities but demands a higher standard of data integration, fairness, and security. For executives, the key question is not just, "Can we build this?" but "Should we, and how?" What use case justifies the complexity? What risks are compounded when data types converge? How will success be measured, not just in performance but in trust? The promise is real, but like any frontier, it demands responsible exploration.
Yahoo
31 minutes ago
- Yahoo
BAIC Group Showcases Eight International Models at the 2025 International Automotive & Supply Chain Expo (Hong Kong)
Hong Kong, China--(Newsfile Corp. - June 15, 2025) - On June 12, 2025, the International Automotive & Supply Chain Expo officially opened at AsiaWorld-Expo, Hong Kong. As the largest auto exhibition in Hong Kong's history and a key automotive platform in the Asia-Pacific region, BAIC Group, together with BAIC International and BAIC Foton, showcased eight international models from four independent passenger vehicle brands alongside advanced technological achievements, demonstrating the strength of China's intelligent manufacturing. At the "Intelligence in motion· Future in vision" BAIC Group booth, the group's passenger and commercial vehicle brands made their joint debut at the international Expo. In response to global trends in green mobility and infrastructure diversity, the brands showcased diverse powertrain options and application-specific models to address the varied mobility needs of users worldwide. Featured models included the BJ40 PLUS RHD, renowned for its robust off-road capability, and the new X55 RHD, which blends sleek design with dynamic performance. Other key passenger vehicles showcased included the ARCFOX αS5, delivering ultra-fast charging and high performance, and the ARCFOX αT5, designed for intelligent and comfortable driving experiences. The STELATO S9 REEV, a premium electric sedan under the STELATO brand, features a dual powertrain layout combining range-extender and pure electric technologies. In the commercial vehicle segment, BAIC Foton presented the eView, an electric school bus, and the Auman Galaxy 9. Notably, the BJ40 PLUS RHD and X55 RHD models have launched in markets such as Indonesia and Malaysia, earning positive market reception and customer praise. The booth also displayed BAIC's proprietary technologies, including highly integrated battery cells, coaxial electric drives, dedicated hybrid transmissions, the "Polaris" high-end electric vehicle platform, and the world's first AI-integrated cockpit platform, highlighting BAIC's intelligent innovation capabilities. In recent years, BAIC Group has accelerated its global expansion, with six R&D/design centers worldwide, 41 overseas factories, and products covering over 130 countries and regions. Cumulative overseas sales have exceeded 1.2 million units. BAIC International offers over 30 product series, while BAIC Foton has led China's commercial vehicle exports for 14 consecutive years. Leveraging the platform provided by this auto expo, BAIC Group will strengthen regional cooperation, advance brand internationalization, and support the sustainable global development of China's automotive industry. Company Name: BAIC Zheng JiexiE-Mail: zhengjiexi@ +86 15711041168Website: To view the source version of this press release, please visit


Forbes
40 minutes ago
- Forbes
How To Use AI To Stand Out And Show You Are A Leader
Photo credit getty AI is entering the workforce at lightning speed, and it's here to stay. Its influence on how we work will only continue to grow in ways we have yet to imagine. Many professionals worry that AI will replace them. In fact, 42% of employees foresee AI replacing some of their existing functions, and 51% of 18-to 24-year-olds think AI will take on some or most of their tasks. The speed at which AI is being integrated into the workplace, along with the concern it's sparking with many professionals, presents you with an opportunity. Instead of fearing, resisting, or ignoring AI, use it to build your personal brand, elevate your value, and demonstrate that you're ready to take on bigger challenges. Here are four ways to use this powerful technological advancement to highlight your leadership potential. Leaders don't wait for change—they lead it. Showcase your ability to embrace change by rethinking what you do and how you do it. Ask yourself: How can AI help me work faster, smarter, or more strategically? Then, actively apply AI to all relevant tasks. Whether you're drafting content, analyzing data, preparing presentations, or exploring new ideas, experiment with how AI can support you. Don't wait for your boss to suggest or demand it. Be the team member who brings ideas and solutions. When you do, you're showing initiative, curiosity, and an innovative mindset. Every team needs someone who sees what's possible. Be the team member who's excited about AI. This will make you visible to those around you. Talk openly about AI's potential to help support the team's mission and help your colleagues succeed. Learn how it's being used in other departments, companies, and industries. When you become a source of knowledge and optimism, others look to you as a trusted resource—and a natural leader. As the team's AI ambassador, you position yourself as a change agent and a source of value that extends beyond your role. Nothing says leader like helping others grow. As you experiment with AI and refine the ways you use it, document your process. Build your own AI best practices. Then, share what you learn with your colleagues. Offer to mentor others who are just getting started. Write a quick how-to guide. Host a live demo. When you help others build their AI curiosity and expertise, you're not just showcasing knowledge, you're demonstrating that you're a leader who cares about the team's growth and success. Perhaps the most important thing you can do to use AI to showcase your leadership doesn't involve AI at all. The most impactful style of leadership today is authentic leadership. Authentic leadership highlights the human side of business. Let AI take on mundane, time-consuming, burnout tasks like generating reports, making sense of data, and even writing emails so you can spend your time demonstrating the leadership activities AI can't do. Take advantage of that freed-up time to hone and showcase these truly human leadership traits. The most admired and effective leaders today build their personal brands around their human capabilities, not their technical expertise. As AI takes on more work tasks, what makes you valuable is your ability to connect, engage, and inspire those around you. When you emphasize these human skills, you position yourself as an emerging leader, standing out from your peers. AI doesn't replace leadership, but it does change what leadership looks like. The future belongs to those who are tech-enabled while leading with humanity. When you embrace AI and commit to leading with authenticity, you won't just survive the AI era—you'll lead it. William Arruda is a keynote speaker, author, and personal branding pioneer. Join him as he discusses clever strategies for using AI to express and expand your brand in Maven's free Lightning Lesson. If you can't attend live, register to receive the replay.