The Milken-Motsepe Prize in AI for Manufacturing is now accepting applications, offering a total of US$2 million in prizes to African innovators using artificial intelligence and emerging technologies to transform manufacturing value chains across the continent.
This prestigious competition is designed to support Africa-based companies that are developing scalable, tech-powered solutions aimed at improving manufacturing efficiency, reducing waste, and driving sustainable economic growth in emerging markets.
What’s on Offer
- US$2 million in total prize money, including a US$1 million Grand Prize
- Access to exclusive networking opportunities
- The chance to pitch directly to global industry leaders, investors, and decision-makers
“If your company is using AI and advanced data analytics to boost efficiency, reduce waste, and deliver scalable impact – this is your moment,” the organizers stated. “We’re looking for tech-powered solutions ready to drive job creation, unlock commercial growth, and ignite breakthroughs across the globe.”
Who Should Apply
The prize is open to startups and companies operating in Africa that are leveraging AI to:
- Improve manufacturing processes
- Enhance supply chain efficiency
- Minimize material waste
- Create scalable, commercially viable solutions
Evaluation Criteria
Submissions will be judged based on:
- Technological integration: Effective use of AI and data analytics
- Operational efficiency: Demonstrated improvements in productivity and waste reduction
- Commercial viability: Clear path to market and revenue generation
- Scalability: Potential for regional or global expansion, especially within African markets
Recent Focus and Impact
The Milken-Motsepe Prize is part of a broader initiative to accelerate innovation in Africa by supporting entrepreneurs who are solving real-world problems through technology. This year’s focus on manufacturing reflects the sector’s critical role in job creation, industrial development, and economic resilience.
Applications are open here until July 31.
