A senior director at Applause has shared predictions for the development of Generative AI (Gen AI) tools in 2025, including increased specialisation and integration challenges.
Adonis Celestine, Senior Director at Applause, expressed the belief that Gen AI tools will become more specialised by the year 2025. "Up until now, generative AI chatbots have catered to a wide audience, who use them for a range of tasks like drafting emails, writing code and conducting research.
"In 2025, we will start to see more hyperspecialised chatbots enter the market that are tailored to industries like healthcare, telecommunications, law, travel, etc. Unlike the generic Gen AI we are familiar with today, hyperspecialised Gen AI chatbots need to be trained on domain-specific data created by experts in each field, who also have the knowledge needed to gauge response accuracy and quality," Celestine stated.
Celestine noted the challenges faced by businesses in seamlessly adopting Gen AI due to their existing IT frameworks. He pointed out, "Over the last couple of years, many companies launched Gen AI products that have not delivered value at best and completely failed at worst.
"In the rush to adopt the new technology, companies simply didn't spend enough time properly thinking their product through. They also didn't consider how difficult it is to get Gen AI's entirely new ecosystem to integrate with their legacy IT infrastructure. Data silos, compatibility issues and change management challenges are causing problems."
The role of agentic AI in enhancing automation was also highlighted by Celestine. He mentioned, "Despite its promise to streamline work, cut costs and free up time, automation has not really delivered the productivity boost people imagined. While Gen AI has already driven automation forward through its code creation ability, it could not execute actions autonomously on the user's behalf. This will all change with agentic AI, which integrates with existing systems to perform actions. The combined power of generative and agentic AI means we can now automate entire processes end-to-end."
Moreover, Celestine discussed the innovative approach of using AI to test other AI systems. "In 2025, AI testing other AIs will become more mainstream. You read it right: 2025, Gen AI will test Gen AI. The reason for this is that Gen AI is very difficult to test using traditional QA methods. Gen AI is nondeterministic, meaning that its responses are always unique and therefore impossible to predict," he explained.
Applause is actively involved in the Meta's Open Loop programme focusing on Gen AI risk management, which includes AI red-teaming and mitigating risks related to synthetic content, ensuring safer AI deployments. Celestine's insights into the future of Gen AI reflect both opportunities for advancements and the challenges that need to be addressed as technology evolves.
