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New WEF Report: A Path To Inclusive Economic Growth Through AI

The World Economic Forum (WEF) has released a new report that outlines how artificial intelligence (AI) can be leveraged to foster inclusive economic growth and societal progress. While AI holds immense potential to transform economies and societies, ensuring that its benefits are shared equitably remains a global challenge. The report offers practical strategies for leaders to address equity concerns, tailor AI solutions to local needs, and drive long-term, sustainable growth for all.

Nine Strategic Objectives

The report, titled Blueprint for Intelligent Economies, was developed in collaboration with KPMG. It outlines nine key strategic objectives that support every phase of the AI journey: innovation, development, deployment, and adoption at national, regional, and global levels. As part of the WEF’s AI Competitiveness through Regional Collaboration Initiative, the report tackles disparities in access to AI, infrastructure, advanced computing, and skills. It provides actionable insights and showcases successful case studies to help governments and other stakeholders at all AI maturity levels build more inclusive and resilient AI ecosystems worldwide.

AI Strategy For Inclusive Growth

The report emphasizes the importance of designing national and regional AI strategies that engage all stakeholders, including governments, businesses, entrepreneurs, civil society, and users. These strategies, backed by high-level leadership, should be developed in close collaboration with local communities. This approach is critical to addressing issues such as responsible governance, data privacy, and the local impact of AI policies on innovation and investment.

“The significant potential of AI remains largely untapped in many regions worldwide. Establishing an inclusive and competitive AI ecosystem will become a crucial priority for all nations,” said Solly Malatsi, Minister of Communications and Digital Technologies of South Africa. “Collaboration among multiple stakeholders at the national, regional, and global levels will be essential in fostering growth and prosperity through AI for everyone,” he added.

Tailored Frameworks And Collaboration

The report draws on global expertise and provides frameworks tailored to nations at various stages of AI development. While every region faces its unique challenges, the blueprint stresses the importance of adapting successful solutions from other regions. For example, regional frameworks for sharing AI infrastructure and energy resources can help overcome national resource limitations. Additionally, centralized databanks can create inclusive local datasets that reflect the diverse needs of communities. Public-private subsidies can widen access to affordable AI-ready devices, allowing local innovators to adopt AI technologies and scale their operations.

“All nations have a unique opportunity to advance their economic and societal progress through AI,” said Hatem Dowidar, CEO of E&. “This requires a collaborative approach of intentional leadership from governments, supported by active engagement with all stakeholders at every stage of the AI journey. Regional and global collaborations remain essential to address shared challenges and opportunities, ensuring equitable access to key AI capabilities and responsibly maximizing its transformative potential for lasting value for all,” he concluded.

AI Startup InsureVision Secures $2.7M To Predict Car Crashes Before They Happen

Imagine a world where your car doesn’t just react to accidents—it predicts them before they unfold. That’s the bold vision behind InsureVision, a London-based AI startup that just closed a $2.7 million seed round to turn predictive crash prevention into reality.

Why This Matters

Backing from State Farm Ventures, Rethink Ventures, and Twin Path Ventures signals serious industry confidence. State Farm, one of the world’s largest insurers, rarely bets on early-stage startups, making its participation a major endorsement of InsureVision’s tech.

The Tech: AI That “Sees” Like A Human

Founded in 2023, InsureVision has built an AI system designed to process real-time video from standard car cameras—an approach they call “enviromatics.” Unlike conventional GPS-based trackers that assess risk through raw data points like speed and braking, InsureVision’s AI interprets the full driving environment.

Here’s the difference:

  • Traditional systems might flag sudden braking as reckless.
  • InsureVision’s AI understands that a pile-up ahead is the real risk and recognises defensive driving rather than penalising it.

Who’s Buying In?

The advanced car safety tech market is projected to grow from $21 billion today to $40 billion by 2030, and InsureVision wants a sizable cut. Its AI could reshape risk assessment for:

  • Insurance companies offering personalised pricing based on actual driving behaviour.
  • Fleet operators (think Uber, logistics firms) seeking real-time risk monitoring.
  • Automakers integrating AI-driven safety features to comply with evolving regulations.

Next Steps

Trials with major U.S. insurers are underway, with Japan next in line for expansion. Results from these pilots are expected by mid-2025.

“We’ve built a vision transformer—an AI that learns from what it sees, not just mechanical data like speed or acceleration,” says CEO Mark Miller. “This brings real-world context into risk assessment, making it a fundamentally more human approach.”

For investors and industry insiders, the bet is clear: If InsureVision delivers, it won’t just improve road safety—it could redefine the economics of auto insurance.

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