“Technology leaders must take action now to gain a first-mover advantage with these technologies,” said Bill Ray, Distinguished VP Analyst at Gartner. “Innovative advancements like generative AI (GenAI)-enabled code architecture, disinformation security and Earth intelligence will provide the differentiation needed to help enterprises pull ahead of the pack in terms of data and product offerings.”

The 12 early-stage technology disruptions are highlighted in Figure 1. Each disruptor is significant in its own right, but in combination they start to define broader emerging solutions to new business practices. For example, advancing GenAI technologies will spawn new solutions around Earth intelligence and business simulation, spur the expansive growth of domain-specific language models, and lead to higher functioning tools.

GenAI-Enabled Code Architecture Will Enable Dynamic Composable Applications

GenAI solutions systems using free-form text and multimedia inputs/outputs will displace the conventional form-oriented sequential UI in established enterprise applications and enable new user scenarios.

“To remain competitive, traditional enterprise application software vendors will need to refactor applications to serve composable GenAI solutions that are invoked on demand via textual and multimodal prompts,” said Ray Valdes, VP Analyst at Gartner.

Because of this, Gartner predicts that by 2029, more than 50% of user interactions linked to enterprise business processes will leverage large language models to bypass the UI layer in traditional enterprise applications, up from less than 5% today.

Products and Services to Address Disinformation Security

Disinformation security is an emerging discipline focused on threats from outside the corporate-controlled network. It includes a suite of technologies, such as deepfake detection, impersonation prevention and reputation protection, which can address disinformation to help enterprises discern trust, protect their brand and secure their online presence.

Gartner predicts that by 2030, at least half of enterprises will have adopted products or services to address disinformation security, up from less than 5% in 2024.

“Disinformation attacks use external infrastructure like social media and originate from areas with limited legal oversight,” said Alfredo Ramirez IV, Senior Director Analyst at Gartner. “Tech leaders must add ‘disinformation-proofing’ to products by using AI/machine learning for content verification and data provenance tracking to help users discern the truth.”