We've All Got the Piano (Commentary by Farrell Tan)

 

AI in Communications 2026: Tools Are Everywhere. Strategy Is Not.

We've given everyone a piano. We're surprised so few can play.

That line has stayed with me because it captures the AI conversation more accurately than most trend reports do.

The tools are no longer rare. Everyone can generate content now: automate workflows, summarise meetings, produce visuals, draft campaigns, repurpose a webinar into six weeks of thought leadership before lunch. The barrier to producing communication has dropped.

The barrier to producing good communication has not.

If anything, the gap between the two has become more visible. The more content floods the market, the more obvious weak thinking becomes. AI doesn't hide unclear positioning but scales it. Generic messaging doesn't become distinctive through automation. It becomes more generic, faster.

There is an uncomfortable reality many organisations still avoid naming directly: a lot of corporate communication was already generic before AI arrived. The technology did not create sameness. In many cases, it simply removed the illusion of distinctiveness that effort used to provide.

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The discoverability shift that deserves more attention

More stakeholders are now going directly to AI platforms with questions rather than searching traditionally. Which means visibility is increasingly tied not to whether you rank on a search results page, but to whether your organisation is seen as credible enough to be referenced in an AI-generated answer.

That is no longer just an SEO issue, but a communications and reputation issue.

The early evidence suggests that organisations with clear, substantiated thinking in the public domain are better positioned to surface in those answers, though how AI systems weight credibility is still not fully understood. Organisations that have been producing volume without substance are likely to find that AI systems filter them out.

Clear thinking now has structural consequences. Not just for perception, but for discoverability.

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Most conversion problems are actually clarity problems

We see this regularly in our work. An organisation believes it has a marketing problem. The audience was interested. Then somewhere in the process, the explanation became too complicated, the messaging became inconsistent across channels, the internal teams were each editing the same sentence independently, and the customer journey started sounding like five departments that hadn't spoken to one another.

People leave quietly when that happens not because they rejected the idea, but because they got tired of working for the clarity they needed.

In communications work, many conversion problems are actually clarity problems. This is where AI is most practically useful; not in the narratives about replacing workforces or generating strategic intelligence, but in reducing friction. Cleaner information flow, faster internal coordination and more consistent stakeholder journeys. Simple improvements that compound.

But the same acceleration creates a different problem. Some organisations are now overwhelming audiences at scale -- more emails, more automated follow-ups, more content pipelines running continuously. Speed is useful right until it starts damaging clarity. A number of brands are already crossing that line without realising it.

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Southeast Asia is not a localisation exercise

Global communications teams often treat regional adaptation as translation. It isn't.

Language localisation is one thing, but cultural fluency is another. AI can help adapt messaging across markets, but it still struggles with lived nuance i.e., the timing of a statement, the weight of a particular framing in a specific country, the difference between regional sensitivities that look similar on paper but are different in practice.

Across markets in this region -- and they are not uniform -- audiences don't always articulate why a communication feels off. But they detect it. The tell is usually something that reads as technically correct but culturally tone-deaf; polished on the surface, without the texture that comes from actually understanding the ground.

That gap is not closed by better tools.

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The underlying point

AI is no longer the differentiator. It is infrastructure. What sits on top of it, be it clarity of thinking, quality of judgement, knowing when to speak and when not to, is where differentiation now lives.

The organisations that stand out over the next few years will probably not be the ones using the most AI tools. They will be the ones that remained clear while everyone else became noisier. The ones that stayed credible while others automated themselves into sameness.

The fundamentals haven't changed i.e., understanding your audience, communicating clearly, knowing when to adapt and when to hold, and building trust through consistency rather than manufacturing visibility through volume.

AI amplifies what already exists. Good thinking, consistently applied, becomes more powerful. Weak positioning, scaled rapidly, becomes more visible as exactly that.

We've all got the piano.

The question is whether organisations are learning to play or simply making more noise with better equipment.

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At Orchan Consulting | Asia, this is the lens through which we work with leadership teams on communications strategy -- not as a race toward automation, but as an opportunity to think and act with greater clarity. If this reflects something your organisation is working through, the conversation is worth having.

changenow@orchan.asia | +603-7972 6377 | www.orchan.asia