Artificial intelligence is no longer on the edge of creative work. It is inside the workflow. It is writing, designing, editing and shaping ideas in real-time. According to Adobe Firefly’s February 2026 research, 99% of Indian creative professionals used an AI-powered platform in the past year – the highest rate among all markets surveyed. And that is forcing agencies to confront a deeper question: if AI can execute much of the visible work, what becomes the agency’s core value?
At Rite KnowledgeLabs, we have spent the last 10 years building thought leadership assets for B2B brands – corporate websites, annual reports, LinkedIn content strategies, 360-degree stakeholder communications. Our entire proposition rests on one word: trust. We help organisations build reputational credibility. So, when AI entered our workflow, we were compelled to ask: Can you build authentic trust with tools that generate content at scale? That question made us sharper.
For decades, agencies were defined by craft. Strategy. Storytelling. UI-UX Design. Development. These were specialised skills that required time, senior talent and layered approvals. AI has begun to compress all of this. What once took three days can now take three minutes. This speed is powerful. But it also disrupts long-held assumptions about what clients are actually paying for.
The first impact is on execution. Today, we use AI-generated imagery across B2B social campaigns for clients who previously relied on costly photoshoots or generic stock libraries. We produce video content with AI avatars and voiceovers. Such formats would have required full production crews two years ago. For educational and trust-building content, AI helps draft, structure and iterate at a pace that keeps with fast-moving industries. But speed is not strategy. And output is not originality. This is where the distinction begins to matter more.
Here is what I have observed: when AI handles execution, the quality of thinking upstream becomes everything. When we create an AI avatar video for a client’s ESG report launch, the avatar is not the work. The narrative arc is the work. The decision about what the CEO should say to investors, and how to say it without sounding like every other corporate communication – that is the work. AI can render the face and the voice. But it takes human insight and judgement to tell you what deserves to be said.
Creative thinking becomes more important, not less. AI can generate options. It cannot define intent. It does not understand that a particular client’s audience is deeply sceptical of corporate language. It does not sense that the market timing for a bold statement is exactly right or exactly wrong. These remain human strengths and in thought leadership work, they are the entire point.
That said, even strategy is being influenced. AI can analyse large datasets, predict engagement patterns, and simulate campaign outcomes. The early stages of planning are being reshaped too. The agency role is shifting from creator to curator. From builder to editor. From execution to direction. We spend more time now on the brief than on the draft.
This creates a productive tension. As AI takes over execution, agencies are being pushed to redefine the value only humans can bring. The real opportunity lies in repositioning. In our context, that repositioning is about becoming a more rigorous thinking partner. Our goal is not just to produce assets, but to define the reputational question that the asset must answer. What does this brand need to be known for? By whom? Against what competitive or cultural backdrop? These are not questions AI can answer from a prompt. They require relationship, context and judgment built over time.
Client expectations are also changing. Brands are no longer impressed by volume of output. Frankly, they can generate volume themselves now. What they expect is sharper insight, faster iterations and more measurable impact on how their stakeholders perceive them. AI enables this shift. But it raises the bar for what “good” looks like.
There is another layer that agencies must reckon with: the democratisation of production. Small teams can now produce work that looks like large agency output. Independent creators can scale without traditional infrastructure. In a world of infinite content, attention is the scarce resource and credibility is the scarcer one.
This is especially true in the thought leadership space. When any brand can now publish polished content at high volume, the question is no longer “can you produce it?” It is “does anyone believe it?” That question of believability is where experienced agencies have a real and defensible edge. Adobe Firefly’s 2026 research found that 88% of Indian creative professionals can already identify the signs of AI-generated imagery or video. Audiences are not passive consumers of content anymore. They are developing a fluency for what is real and what is rendered. In a thought leadership context – where a brand’s credibility is the entire product – that is not a minor detail. It is a fundamental shift in the bar agencies must clear.
There is also a cultural shift happening inside agencies. At our end, team members who once focused purely on writing are now editing AI-generated drafts. They’re making nuanced calls about what sounds authentic versus what sounds generated. Designers are directing AI-powered tools with increasingly specific prompts, applying brand sensibility that the tool cannot infer on its own. These roles have not disappeared. They have become more demanding in different ways.
With this transition, there is a legitimate fear of dilution: if the tools lower barriers, what happens to expertise? I think the answer lies in depth. General output is becoming abundant. Depth of thinking, cultural sensitivity, and sector expertise are becoming rare and correspondingly more valuable.
The agency has always been a bridge between brands and audiences. That bridge now includes machines. But the responsibility of interpretation – of knowing what a brand truly stands for and how to express it credibly – remains entirely human. Agencies that thrive in this environment will be those that use AI with intention rather than volume. They will know when automation serves the work and when human judgment must overrule it. They will invest in the quality of the question before reaching for the answer.
The real question is not whether agencies are being forced to rethink their core value. They already are. The real question is whether they are willing to redefine it clearly enough. Not just internally, but for the clients who are watching them adapt in real time. Because AI is not waiting. It is already in the workflow. And the agencies that succeed will be those that do not compete with it but learn to think more rigorously alongside it.
By Zahara Kanchwalla, Co-founder & CEO of Rite KnowledgeLabs
