Intangible assets, particularly intellectual property (IP), now constitute a significant portion – around 90% – of the S&P 500’s market value. This is a substantial increase from the 32% seen in 1985. Nevertheless, the importance of these assets is still often underestimated and overlooked by management and market participants.
Demand is growing for the ability to collect and analyse the outputs of Generative AI (GenAI) tools like ChatGPT and Perplexity. These tools, which use Large Language Models (LLMs), are increasingly being used as alternatives to traditional internet search engines. For this reason, professionals working with search engine optimisation (SEO) and its new incarnation, generative engine optimisation (GEO), are keen to understand what sources LLMs draw from and how they present topics relevant to particular brands and industries.
Controversies over data, intellectual property, and licensing go hand in hand with generative AI (GenAI). The machine learning algorithms used by GenAI models require data to identify patterns and interdependencies that enable them to generate suitable responses to prompts. Therefore, volume and data quality are fundamentally important to the effectiveness of AI models.
In the new normal of global trade, policies shift overnight, markets swing unpredictably, and yesterday’s financial reports might as well be ancient history.
The year 2025 started with a shockwave for the AI community. Launched by a relatively obscure Chinese startup, DeepSeek not only challenged the rules of the AI game by sending NVIDIA’s stock plummeting 17% in one day and becoming the most-downloaded app on the App Store and Play Store, but also showed the persisting security problems by accidentally exposing its database and leaking sensitive data including chat histories, API keys, and backend operational details.
If there is one thing everyone hates, it’s the sense of failure. Indeed, the sweetness of victory feels just so much better. As an entrepreneur, though, you may learn much more from setbacks than successes. We must approach failure with a different mindset – seeing it as a chance rather than an obstacle.
