Five takeaways for differentiated AI thought leadership

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Insights from our future of work, strategic leadership and climate desks
In today’s rapidly evolving AI landscape, brands must navigate a complex environment to create impactful thought leadership. This article captures insights from specialist editors at FT Longitude, discussing how emerging AI themes are shaping thought leadership across workforce diversity, strategic decision-making, and climate-related innovations. By examining these intersections, we offer advice on leveraging AI for compelling narratives and practical solutions.

Piers Tomlinson: We’ve seen AI content evolving quickly, and it’s essential to find a distinctive angle. How can brands stand out in the AI thought leadership space?

Chanice Henry: This year is pivotal as many companies move from planning list of el-salvador cell phone numbers to implementing AI and they’re looking to companies with deep insight and expertise to help. The high-level, fluffy content won’t cut it anymore. Brands need to support their audience with detailed, practical guidance. Successful implementation requires a carefully calibrated approach, like crowdsourcing ideas and experimenting in controlled environments. Responsible AI, especially explainability, is crucial. We need to support the global community on implementing AI at a granular level while ensuring our content remains engaging and not overly technical.

Hannah Freegard: Often, the audience doesn’t care about the finer technical details as much as businesses think. It’s more about linking AI to specific challenges and providing tangible action points. Good thought leadership should address how organisations can deliver new value and achieve their goals. Instead of abstract ideas, focus on use cases that can be acted on now to implement AI effectively.

Five takeaways for differentiated AI thought leadership
1. Strive for practical, precise content that is integrated with your broader messaging
Piers Tomlinson: We’ve seen some businesses shoehorn AI into content where it doesn’t belong, resulting in outdated and bland material. Integrating AI properly into a larger story, such as AI and diversity or AI and climate, can create a more robust and relevant narrative. How can brands ensure they’re presenting a fresh perspective on AI?