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Marking its 20th anniversary, global cloud communications platform Infobip predicts a fundamental shift in how brands engage with consumers, forecasting a move from current application-to-person (A2P) messaging towards an agentic AI-driven model. The company envisions a future where autonomous AI agents handle complex interactions, leading to a fully agent-to-agent communication landscape by 2030, necessitating that brands eliminate data silos to enable hyper-personalization at scale.
Infobip, celebrating 20 years, predicts a major shift from A2P messaging to agentic AI for customer communication.
The future vision is a fully autonomous agent-to-agent model by 2030, where personal AI assistants negotiate with brand AIs.
Hyper-personalization at scale across channels is the key driver and benefit of this shift.
A major challenge is low business readiness, with only about 5% of enterprise AI agent projects reaching production.
Success requires brands to eliminate data silos and create organizational structures for seamless data sharing.
Brands that fail to adapt to this AI-driven communication future risk losing their competitive edge.
Infobip outlines an evolutionary path for customer engagement. The immediate future involves brands adopting agentic AI communication models to drive autonomous, personalized interactions across all touchpoints. Looking ahead to 2030, the company envisions a more advanced stage where a user's personal AI assistant, embedded in devices, could autonomously negotiate and transact with a brand's AI—such as researching and booking a holiday based on the user's digital habits—creating a true agent-to-agent ecosystem.
The core value of this shift is the ability to deliver hyper-personalization at an unprecedented scale across rich channels like RCS and WhatsApp. However, Infobip CEO Silvio Kutić highlights a significant barrier: most enterprises are not ready. He notes that only about 5% of AI agent projects reach production, primarily hampered by unstructured data and internal organizational silos. For AI agents to be effective, they require a unified, holistic view of the customer journey across marketing, sales, and support.
The message from Infobip's leadership is urgent. Kutić emphasizes that enterprises "must act now" and that the key to successful adoption lies in "organizational structures that facilitate seamless data sharing." The transition is framed not merely as a technological upgrade but as a fundamental operational and strategic shift. Brands that cannot provide the integrated data foundation required for sophisticated AI agents will struggle to meet evolving consumer expectations and risk obsolescence.
Infobip's 20th-anniversary vision places agentic AI at the center of the next decade's customer communication paradigm. It moves beyond incremental improvements to suggest a complete re-architecting of engagement, where intelligence is embedded into every interaction. For brands, this represents a pressing mandate to rethink data strategy and organizational design, transforming data from a fragmented asset into a connected fuel for autonomous, personalized, and competitive customer experiences.
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