Holisticrm BLOG

We might finally know what will burst the AI bubble – BBC Science Focus Magazine

The recent article "We might finally know what will burst the AI bubble" by BBC Science Focus Magazine raises critical concerns about the AI industry’s sustainability. As excitement around generative AI reaches new heights, economists and technologists are beginning to question whether the pace of hype matches real-world value creation. One of the article’s key assertions is that AI’s performance improvements may begin to stagnate in areas such as large language models, while their costs – especially around training and compute – continue to rise.

The piece highlights how early promises of revolutionary change have not always translated into measurable productivity gains across industries. Much of AI’s perceived value today stems from investor enthusiasm rather than demonstrated operational efficiency. This growing disconnect calls for a more holistic approach. Businesses must move beyond general-purpose tools and begin exploring the real performance benefits of deploying targeted, custom AI models aligned with specific customer and workflow needs.

At HolistiCrm, this underlines a critical opportunity for martech teams. Many CRM platforms boast generic AI capabilities, but these often fail to account for the subtle nuances in customer behavior, segmented campaigns, or regional market preferences. A use-case that searches for patterns in customer churn using a machine learning model—trained on a company’s own CRM data—can outperform generalized models. When refined through AI consultancy that understands both data science and customer experience, such solutions boost customer satisfaction, optimize marketing spend, and increase lifetime value.

With growing scrutiny over AI ROI, businesses now need the guidance of an AI agency to cut through the noise and focus on applications with definable outcomes. Tailored solutions built with domain context—rather than one-size-fits-all approaches—will be the key to remaining competitive as the bubble of AI expectations meets practical business needs.

Read the original article: https://news.google.com/rss/articles/CBMiekFVX3lxTE9WaG1WX2RMbENjTldZeU1MRE5RWlBGZEtleFoxdDFYM09NSTFfa1VidWR3X01lZ3pvaXl2STJDbWdPaFNpYlpLdXQ2RmlDdURsTjc2RXRaTktaQ2c4TjZNSjZ0aVg4M0YwUE9VbGpzY1VqZ0ZxN3hPTFZn?oc=5 (original article)