AI Efficiency Is Costing Brands A Disconnect With Consumers

23 June 2026

AI summary

AI is driving efficiency but not necessarily effectiveness. Brands in APAC risk substituting output for progress — producing more content while losing consumer connection. To close the disconnect, brands need to listen actively, measure what actually works, and shift leadership conversations from productivity metrics to growth outcomes.

AI efficiency is costing brands a disconnect with consumers. Here is what to do about it.

When competitors appear to be moving faster and leadership rewards productivity, AI adoption starts to look like progress. Is it though?

AI has pushed efficiency to its peak. But this alone does not tell us whether it is doing anything meaningful for the brand, which is why it creates the illusion that the brand is moving forward. The risk then becomes that brands start substituting efficiency for effectiveness. But efficiency is not effectiveness, and output is not progress.

Content has never been more abundant, and consumer attention has never been less accessible. Consumer capacity to process remains unchanged, but their time is fragmented across multiple screens, platforms and activities in a day. To capture this fragmented attention, 79% of marketers in Asia Pacific are actively shifting more budget into online channels and formats.1

Ultimately, this becomes a spiral. Consumers spend more time across different channels, brands try harder to capture their attention by bombarding them with more content and ads, and consumers experience fatigue, disengage, or pay for premium platforms that allow them to avoid ads altogether.2

McKinsey's 2025 AI survey found that 80% of companies set efficiency as an objective for AI initiatives, but companies seeing the most value set growth as an additional objective.3

To unlock that growth, brands need to close the disconnect with consumers. Here is how.

01

Fix the disconnect with consumers

A good place to start is by actively listening to your consumers. Map content to what resonates, not just what can be produced and how fast.

Qualitative and engagement metrics are the ideal starting point, especially if you lack direction, because they offer a fast scan on consumer pain points, unmet needs, and decision triggers.

Social and search behavior can be utilized to understand where the consumer is in their journey and what role a brand can play.1

This is also where the consumer journey still matters.

While the path to purchase has changed drastically, the principles to get there remain the same. Brands still need to understand what helps people notice them, what helps them understand the proposition, and finally what helps them choose. This gives content a clearer job to do.

02

Measure impact, not output

The next step is to measure whether your content did its job for the brand. In order to tease out effectiveness from efficiency, we need to look at the quality of the content through the lens of relevance and distinctiveness.

Relevance tells you whether the content earned attention. Distinctiveness tells you whether the brand is easily remembered.

This matters even more now. AI is efficient at producing content, but it is also efficient at making every brand sound like every other brand. And you cannot build connection with a consumer who cannot tell you apart.

A/B testing can tell you which messages and creatives engage, which distort, and which drive better brand recall. Brand lift studies go deeper, measuring whether your content is actually moving brand equity. Together, they help you isolate what worked, where it worked, and why.

03

Change the leadership conversation

From a senior leadership point of view, productivity metrics are important in judging AI rollout; however, efficiency only tells you how well AI has been retrofitted into your operations. It does not tell you whether content led to growth.

The conversation is not about abandoning efficiency, it is about bringing effectiveness to parity. If your brand connects with consumers meaningfully, the ultimate result would be an increase in your customer base.

Sales uplift and new buyer growth is how you measure overall impact. Data shows that 88% of brands that grow in Asia do so by increasing penetration and attracting new buyers.4 This growth is only achievable if your content is delivering on both relevance and distinctiveness.

AI can help you create more. But brand equity is built in the minds of consumers, and only clarity in your communication can get you there.

Vartika Pradeep
About the author
Vartika Pradeep

I help consumer-facing brands answer where to play, how to win, and what people actually want. APAC is not a monolith. I bring the nuance so my clients don't have to. I wrote this piece because I keep seeing brands chase efficiency while the distance between them and their consumers quietly grows. This is my attempt to help close that gap.

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Sources

  1. 1. Nielsen, How Asia Pacific marketers are staying ahead, August 2025.
  2. 2. The Trade Desk, Ad Fatigue Hits Hard in Southeast Asia: 2 in 3 Consumers Tune Out Repetitive Ads, July 2025. Deloitte, 2025 Digital Media Trends: Social platforms are becoming a dominant force in media and entertainment, March 2025.
  3. 3. McKinsey & Company, The state of AI: How organizations are rewiring to capture value, March 2025.
  4. 4. Kantar, Brand Footprint 2025: Asia remains an FMCG growth hotspot, September 2025.
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