Messaging Trends 2026

The AI breakdown

In last year’s report, we explored how brands were starting to integrate AI into conversational experiences and customer engagement strategies. In 2025, AI has become an operational infrastructure, embedded in customer service workflows, marketing automation pipelines, fraud detection systems, and real-time conversational experiences across every major channel.

The shift is visible in the data:

25%

total conversational interactions growth

91%

of all conversational AI interactions took place on WhatsApp

40x

Chatbot interactions on our platform grew 40x in five years

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With the launch of our AgentOS platform, the industry crossed a threshold: from AI that assists human-defined workflows to AI that manages entire customer journeys autonomously.

AgentOS is a fully managed AI native platform where AI agents, data, channels and customer intent come together to decide what happens next in every interaction. It leverages our omnichannel foundation to enable AI agents to operate autonomously across SMS, RCS, email, WhatsApp, voice, and more, adapting in real-time to optimize content, channel and timing based on customer context.

The businesses leading in 2025 are not the ones that adopted AI first, but the ones that have integrated it across the full customer lifecycle rather than limiting it to isolated use cases.

The rise of conversational AI

Conversational AI has matured faster than most enterprise technology forecasts predicted.

What began as a tool for deflecting contact center volume has evolved into a primary channel for customer engagement, revenue generation, and relationship management.

AI started with rule-based scripts, moved to natural language understanding, then to generative responses. Each phase expanded what was possible.

The trajectory on our platform reflects this evolution clearly, moving from basic guided chatbot flows to generative AI and now to fully autonomous agents, with each phase unfolding in months rather than years.

AI-assisted human agents

AI handles the high-volume, structured interactions. Humans handle the complex, sensitive, or high-value ones.

AI assists human agents in real time with:

Conversation summaries

Agents receive full context before they respond, eliminating the need for customers to repeat themselves.

Suggested replies

AI surfaces recommended responses based on intent and history, which agents can use, edit, or discard.

Sentiment detection

Agents are alerted when a conversation is escalating, enabling proactive intervention.

Post-conversation insights

Automated tagging, categorization, and CSAT prediction reduce admin and improve data quality.

Key AI capabilities

Send-time optimization – AI predicts the moment each individual customer is most likely to engage, improving open rates without increasing send volume.
Channel selection: AI models determine whether a message will perform better on WhatsApp, RCS, email, or SMS for each specific customer.
Content generation: Generative AI produces message variants at scale,
enabling true 1:1 personalization across large customer bases.
Campaign performance prediction: AI surfaces likely underperforming
segments before a campaign completes, enabling real-time reallocation.

Industries with high-volume, repetitive interactions have benefited most from AI-driven conversations:

Industries	Use cases	Impact
Finance	Balance inquiries, transaction alerts, fraud verification	A 24/7 self-service reduced call center volume by handling high-frequency, low-complexity requests
Retail	Order tracking, return processing, product recommendations	Chatbots handled post-purchase anxiety (Where’s my order?) and enabled conversational commerce at scale
Telecom	Billing questions, plan changes, service troubleshooting	Automated the highest-volume support requests, freeing agents for retention and upsell conversations
Healthcare	Appointment scheduling, prescription refills, test result notifications, symptom triage	Reduced administrative burden on staff while improving patient access to care and reducing no-show rates
Sports and entertainment	Fan engagement campaigns, gamified quizzes, match prediction games, real-time event updates, ticketing, loyalty opt-ins	Transformed one-way broadcast messaging into two-way fan conversations, deepening engagement during live events, growing opt-in communities, and generating first-party data for long-term personalized fan relationships

Nissan Saudi Arabia: Mastering lead generation with an AI-powered voice game over WhatsApp.

80%

session engagement rate
.
84%

were first-time participants
.
93%

delivery rate across campaigns
.

Floward: Scaling customer service and boosting team efficiency with a unified contact center solution.

1 minute

average response time
.
14%

cost reduction
.
SLA 95%

achievement rate
.

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