Artificial intelligence has rapidly embedded itself into the daily workflow of corporate communications teams. Yet despite widespread experimentation, most organisations have yet to translate that adoption into structural change, clear governance, or measurable business value.
That tension lies at the heart of ‘The State of AI and Communications 2026’ by Ragan Centre for AI Strategy, which suggests the profession is moving quickly into the AI era — but unevenly. Nearly every communications team surveyed reports some level of AI usage, yet only a small minority say the technology is integrated into organisational strategy or core workflows.
The result is an industry experimenting at scale while still searching for a strategic framework to guide that transformation.
AI has become a standard tool across communications teams
According to the survey, 98% of respondents report using AI in some capacity within their communications teams or broader organisations. Roughly three-quarters say their usage is already significant.
Most applications today are concentrated around content development and creative acceleration. More than 85% of respondents use AI for ideation and brainstorming, while over 75% rely on it for drafting or producing content. Research support and internal communications are also common use cases.
These patterns indicate that AI is currently being deployed primarily as a productivity engine, helping teams move faster and scale output.
What remains far less common is the use of AI for higher-order strategic applications such as audience segmentation, stakeholder analysis, crisis modelling, or executive communications. For example, fewer than a quarter of respondents report using AI to train systems on CEO messaging.
The implication is clear: while AI is accelerating production across communications teams, it has yet to significantly reshape how strategic decisions are made.
Enterprise ecosystems are shaping AI adoption
The survey also highlights an important divergence between consumer AI usage and enterprise adoption patterns.
While tools such as ChatGPT dominate public discussion around generative AI, communications teams inside organisations are gravitating toward enterprise-integrated platforms.
Microsoft Copilot emerged as the most widely used AI platform among respondents, reflecting the influence of enterprise IT environments, licensing agreements, and security frameworks.
Other frequently used tools include Google Gemini, Canva, and Grammarly.
The pattern suggests that AI adoption inside corporations is being driven less by consumer popularity and more by enterprise infrastructure and governance compatibility.
Optimism about AI is high—but preparedness remains limited
Despite the early stage of integration, communications professionals remain broadly optimistic about AI’s potential.
Nearly 63% of respondents say they are somewhat or very optimistic about AI’s future impact on internal communications, while 56% express similar confidence regarding external communications.
Yet the survey reveals a stark gap between optimism and readiness.
Only 4% of respondents say their organisations are “very prepared” to deal with AI-generated deepfakes, a rapidly growing concern as synthetic media becomes more sophisticated. More than half say their organisations either lack established processes to manage such threats or are unaware of any formal protocols.
Similarly, fewer than half of respondents report that their companies have fully established AI governance policies, highlighting the regulatory and reputational risks that could emerge as AI tools become more deeply embedded in corporate communications.
Skills and training emerge as the biggest barriers
Across multiple questions in the survey, a consistent theme emerges: capability gaps are slowing the industry’s transition to AI-driven communications.
Nearly two-thirds of respondents cite lack of training or expertise as the primary barrier to deeper adoption. Concerns around data privacy, legal compliance, and security are also widely cited, while organisational culture and resistance to change remain persistent challenges.
The skills most frequently identified as critical for the future include AI literacy, prompt engineering, analytics, and strategic storytelling — indicating that communications roles may increasingly require a blend of technological and strategic capabilities.
Leadership ownership of AI remains unclear
The survey also exposes a leadership ambiguity around who should ultimately own AI strategy within organisations.
Only 22% of respondents believe communications functions should lead AI strategy, while nearly two-thirds favour a shared leadership model, most commonly involving IT teams.
In practice, chief information officers and chief technology officers are most frequently identified as leading AI initiatives. A notable number of respondents say their organisations still lack a clear executive owner for AI.
Just 4% identify the CEO as the primary executive responsible for AI strategy, suggesting that in many organisations the technology remains positioned primarily as an operational tool rather than a central strategic priority.
The next challenge: proving AI’s business value
As organisations expand their investments in AI technologies, the next major test will be demonstrating measurable returns.
At present, only slightly more than 10% of respondents say their organisations have a clear understanding of AI’s return on investment or have already achieved measurable ROI.
This uncertainty reflects the broader reality that most AI deployments in communications remain experimental and tactical rather than fully embedded into business performance metrics.
From experimentation to institutionalisation
Taken together, the findings portray a profession that is not resisting AI but moving toward it at considerable speed — albeit without a fully defined roadmap.
Communications teams are experimenting widely, deploying AI tools across a range of everyday tasks and workflows. Yet the deeper transformation — integrating AI into strategy, governance frameworks, risk management, and measurable enterprise outcomes — remains in its early stages.
For communications leaders, the next phase of the AI transition will likely hinge on a fundamental shift: moving from tool adoption to institutional integration.
In other words, the real test for the industry is no longer whether teams will use AI. It is whether organisations can embed it in ways that strengthen decision-making, protect reputation, and create demonstrable business value.
