My talk at the KİD Summeet 2026: Being a corporate communicator at the age of AI

Last week, I attended a panel at Kurumsal İletişimciler Derneği’s [Corporate Communicators Association] summit. The association described the event as such:

At KİD Summeet 2026, under the theme “Artificial Intelligence and Communication: Meaning and Responsibility in the Age of Algorithms,” we explored how AI is transforming communication, discussed its practical applications, ethical boundaries, and the competencies required in this new era.

We brought together our members, academics, members of the press, and young communicators to discuss how artificial intelligence isn’t just a technological topic, but represents a new era in meaning production and corporate responsibility.

The message of the conference was clear:
Artificial Intelligence can accelerate processes and generate content. However, trust, reputation, and corporate legitimacy are still built through human judgment and values.

We would like to thank all our members, stakeholders, speakers, and QNB for hosting the event.

Here are my highlights from my talk about a corporate communicator in the age of Artificial Intelligence:

1. Critical AI Literacy

Using the tools is not enough; understanding how they work is essential. Recognizing algorithmic biases, being able to verify the content produced, not blindly trusting “black box” systems. This is where the real value of the corporate communicator lies: maintaining distance from the machine.

2. Data Understanding and Interpretation Capacity

Not just reading analytics, but making sense of them. Understanding what each metric means, why certain data is collected, and how platform algorithms shape the organization’s message.

3. Verification and Disinformation Awareness

Deepfake content, synthetic voices, and fake profiles are now part of corporate communication crises.

Integrating verification practices into communication teams has become a critical competency.

4. Human-Centered Storytelling

AI is very good at content production, but very weak at building connections. The difference an organizational communicator makes: authentic voice, cultural context, empathy. The question “What does AI produce?” is overshadowed by “What do we want to say?”

5. Establishing an Ethical Framework

Defining the organization’s AI usage policy, setting transparency standards, and accountability to stakeholders. This is no longer just the legal department’s job; it’s also on the communications department’s agenda.

6. Speed of Adaptation and a Culture of Experimentation

Tools are changing very quickly. Learning how to learn, being able to run pilot projects, calibrating failure — this must be embedded in the corporate culture as a competency.

7. Interdisciplinary Collaboration

Communicators now need to be able to talk to data analysts, the legal team, and the IT security unit. “Silo” structures are much more costly in the AI era.

My Listening Notes – AI, Communication, Trust, and Responsibility

I have anonymized my notes and softened my critical observations for future writings. 

A key distinction was made between the period before and after November 2022, marking the beginning of widespread human–machine conversational interaction. Since then, artificial intelligence has moved from being a background technology to an everyday interface. At the same time, geopolitical dynamics — such as restrictions on advanced hardware like graphics cards — show that AI can also function as a strategic embargo tool.

AI was described as a technology without clear limits. It can just as easily turn against companies as it can serve them. Leaders were questioned on what they actually understand by “AI,” especially in relation to chatbots and enterprise use. Communication accidents are expected to increase in the coming period.

From an enterprise perspective, AI adoption is framed around three main areas:

1. Productivity

2. Experience

3. Innovation

Reports emphasize quantitative indicators in these domains. Yet in the AI era, the scarcest resource may not be data or efficiency, but trust. “Trusted systems” are increasingly prioritized in technology selection processes, and trust itself is becoming a core brand value.

Within corporate communication, AI ecosystems and tools are presented as productivity enhancers. Speed now shapes nearly every aspect of professional life. AI can function as a loyal assistant, but ultimate responsibility for outputs remains human. The question is not whether to delegate entirely, but where to draw the line of accountability.

From the agency and management perspective, there is an emerging gap between executive initiative and employee-level adaptation. Operational tasks traditionally expected from agencies may change, potentially shifting toward collaborative content production models. However, AI may also increase agency costs. Regulation was emphasized as a key factor that will shape future usage patterns.

Ethics and responsibility formed a central theme:
Where is the boundary in AI use?
Which version of “reality” will institutions stand behind?

AI enables organizations and brands to construct and amplify their own realities. This raises fundamental questions about authenticity and legitimacy.

Another perspective framed AI as part of a broader continuum. Those who are digitally literate may adapt more easily. Apocalyptic narratives tend to gain popularity, yet technological tools themselves are neutral — like a knife, which can prepare food or cause harm depending on human intent.

Despite early resistance, adaptation continues, as seen in areas like call centers. Differences between American and European predictive algorithm approaches highlight the importance of localization.

Although it has been argued that information asymmetry has diminished in the digital age, this closure is questionable. The control of information may appear decentralized, yet whether institutions have truly lost control remains an open question.

At the center of all discussions lies trust — its erosion, reconstruction, and strategic value in the age of artificial intelligence.