As information sources have become abundant and attention spans have shortened in the age of AI, we take on the lost art of reading. Join us to explore why reading rates are falling, how that shift affects judgment and opportunity, and how interdisciplinary books help us see patterns across history, economics, and technology.
To help us, Alisa Rusanoff, CEO of Eltech AI, joins us to share her perspective on reading, debate volume versus depth, and offer practical ways to reclaim attention and read with intention.
Artificial intelligence is rapidly reshaping the global insurance industry. From underwriting and pricing to claims processing and fraud detection, AI systems are enabling insurers to analyse risk with unprecedented precision. Organizations exploring how advanced analytics is transforming underwriting and claims decision-making across the insurance value chain can observe how data-driven risk assessment is already reshaping industry practices. In emerging digital economies such as India, where data infrastructure, digital identity systems, and technology adoption are expanding rapidly, AI is becoming central to how insurers scale access, improve operational efficiency, and design more responsive products.
Health insurers are rapidly turning to artificial intelligence to evaluate requests for coverage of medical procedures, drugs, and other services. While AI has many potential benefits, concerns have been raised about the lack of human review in those decisions.
As artificial intelligence (AI) reshapes the insurance landscape, insurers face a growing tension between automation and accountability. While AI offers unprecedented speed and efficiency in claims processing, it also introduces new risks, ranging from litigation over biased algorithms to regulatory scrutiny of exaggerated AI capabilities.
Something notable happened in Johannesburg late last month, although it drew limited attention in Washington: Many of the world’s major economies signaled a growing alignment around how artificial intelligence (AI) and data should be approached—not primarily as instruments of geopolitical competition, but as vehicles for inclusive and sustainable development. The Group of Twenty (G20) leaders’ declaration, adopted despite uneven participation among several countries, reflects an important shift in how states are positioning themselves on AI governance. It offers a snapshot of an emerging global conversation that increasingly links AI to development goals and digital equity.
Artificial intelligence is growing fast and will play a bigger role in the years ahead. It can handle repetitive tasks, organize large amounts of information, and help people make better decisions. These changes are already making businesses more efficient and will continue to affect how work is done, services are provided, and everyday tasks are managed. In this article, we will explore the future of artificial intelligence and the key trends expected in the coming years. We will also discuss how it is being used across industries, highlight ethical considerations, and share what AI might look like in five to ten years.
AI can’t be seen as just another technological innovation. By establishing itself as a major driver of productivity, automation and decision-making, it’s fundamentally disrupting the economic and social balance of our society. Whilst the productivity gains brought by AI are already transforming office jobs and creating a chasm between employees who’ve embraced it and those who haven’t, a fundamental question emerges: how do we integrate these synthetic entities into our collective organisations? Between appropriate taxation, legal personality and psychological resistance, there are numerous questions to debate before we can draft a new social contract.
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