Retail & Consumer Products

How AI Is Changing the Corporate Narrative

For decades, corporate communications operated within a relatively stable system. Companies could shape messaging, distribute it through established channels, and largely control how stakeholders encountered the brand through media coverage, executive visibility, websites, advertising, and marketing campaigns.

That model is starting to break down.

Our recent article on “infinite narratives” explored how modern communications strategies increasingly require predictive, data-led approaches as organizations navigate fragmented stakeholder ecosystems. That challenge becomes even more urgent in the AI era, where stakeholder perceptions and opinions are being formed before organizations communicate or interact with them directly at all.

AI-generated search and recommendation tools are influencing how people discover and evaluate brands, often outside traditional communications and marketing ecosystems.

In this sense, AI algorithms themselves have become a new stakeholder group in the communications ecosystem. Large language models synthesize and surface narratives about organizations continuously, and how a company appears in those AI-generated responses shapes brand perception just as meaningfully as any owned channels or earned media placements.

AI Is Beginning to Shape How Brand Perception Forms

As editor Adam Blair noted recently in Retail TouchPoints, “consumers are engaging with AI in ever-growing numbers.”

New proprietary research from FTI Consulting’s Strategic Communications segment suggests this shift is already beginning to emerge among younger consumers. In FTI Consulting’s inaugural Retail Resiliency Survey, an online survey of U.S. consumers conducted in March 2026, nearly one in four Gen Z consumers (22%) report that AI search tools already typically influence how they think about a brand, so not occasionally, but as a regular part of how they form opinions.

That finding is significant not simply because it tells us AI tools are influencing purchasing behavior, but because it means a meaningful share of the most important emerging consumer base is already starting to form opinions about brands based on what those AI tools tell them.

As Rachel Rosenblatt, Head of the Americas Retail & Consumer Products sector at FTI Consulting, recently told Business Insider, this is a fundamental shift in how organizations should think about brand visibility, control, and measurement.

“AI is already influencing purchasing decisions at a time when many organizations are still figuring out how to show up in these spaces consistently, or how to measure that influence,” Rosenblatt said.

What this means

Companies increasingly need to understand how their narrative is being interpreted, synthesized, and surfaced across AI-driven environments.

The Business Itself is the Narrative

AI systems evaluate companies far beyond their official brand messaging. Instead, they scan the entire digital ecosystem for “truth signals,” pulling data from Glassdoor reviews, persistent Reddit threads, past crisis headlines that never quite went away, leadership commentary, public discourse, and more.

That dynamic is happening alongside a broader shift in stakeholder expectations.

The Retail Resiliency Survey found that 68% of consumers ages 18-34 stopped purchasing from a brand in the past year specifically over its values. Nearly half of Gen Z consumers (45%) said how a company treats its employees directly influences whether they trust that brand. Meanwhile, 76% of consumers who walked away from a brand cited the company’s response to controversy as a driving factor in their decision.

Collectively, the findings point to a broader reality: stakeholders increasingly evaluate companies holistically.

Narrative can no longer function as a polished layer sitting on top of the business. That matters more in AI-driven environments, where information is continuously surfaced, connected, and reframed at scale. A labor issue can quickly become viral TikTok commentary. A leadership decision can become searchable context tied to a brand indefinitely. A poorly handled crisis response can remain an active part of AI summaries long after the news cycle moves on.

What this means

The growing overlap between operations and reputation raises the stakes for narrative development. Messaging strategies that are disconnected from workforce realities, leadership behavior, governance decisions, or stakeholder experience are becoming harder to sustain over time.

Why Narrative Development Requires a Different Approach

For years, narrative development was largely approached as a messaging exercise: align leadership, define positioning, and distribute consistent communications across key audiences. But in today’s environment, organizations are no longer simply managing message distribution. They are managing interpretation.

“Historically, organizations had much greater ability to compartmentalize reputation,” said Rachel Rosenblatt. “What AI changes is the speed, scale, and likelihood that fragmented information sources become synthesized into a perceived, cohesive narrative about a company. That raises the bar significantly for consistency and credibility.”

This shift is what led FTI Consulting Strategic Communications to develop the Narrative Lab, a new approach to narrative strategy built for AI-shaped reputation environments.

At its core, the Narrative Lab is built around a simple belief: your narrative is not just a communications asset, but a foundational business asset that should be audience-centered, research-backed, data-informed, and tested against how stakeholders actually think, behave, and make decisions.

“The Narrative Lab is where messaging strategy meets data science,” remarked Rosenblatt.

FTI Consulting’s Narrative Lab combines audience research, message testing, AI analysis, and strategic storytelling to help organizations understand not only the narrative they want to project, but also whether that narrative is durable, credible, and aligned with how stakeholders actually experience the business.

As part of that work, we’ve developed a suite of AI tools trained on extensive quantitative data and deep sector expertise to simulate how messaging may be received across audiences, from media and investors to employees and consumers, before it reaches the public.

The Lab brings together communications strategists, creatives, data scientists, PhD researchers, and industry specialists to help organizations pressure-test whether their public narrative truly matches operational reality. That work spans a range of business scenarios where perception can shift quickly, including:

What this means

The old “set the message and repeat it” playbook is becoming less effective. In increasingly AI-shaped environments, organizations need a far clearer understanding of how their narrative is actually landing — what resonates, what creates skepticism, and where perception gaps are starting to emerge.

Narrative Resilience May Become a Competitive Advantage

Many organizations still think about AI primarily through the lens of productivity, automation, or marketing efficiency. From a reputation standpoint, however, AI represents something larger: a new layer of influence shaping stakeholder judgment before companies directly engage audiences themselves.

That challenge now extends to a new kind of audience entirely. Large language models are increasingly becoming a major way that stakeholders discover, research, and form first impressions of organizations. As a result, influencing how narratives are synthesized into AI-generated responses is an important part of how companies shape perception overall.  

The organizations most likely to navigate this shift successfully will not necessarily be the loudest or most visible. They will be the ones with narratives strong enough to remain coherent across fragmented, fast-moving, and AI-amplified information environments.

In other words, narrative resilience may become a competitive advantage in its own right.

We look forward to partnering with organizations to help navigate the challenges shaping reputation, narrative, and stakeholder trust in the AI era. To learn more about FTI Strategic Communications’ Narrative Lab approach, contact our team of narrative strategists.

The views expressed herein are those of the author(s) and not necessarily the views of FTI Consulting, Inc., its management, its subsidiaries, its affiliates, or its other professionals. FTI Consulting, Inc., including its subsidiaries and affiliates, is a consulting firm and is not a certified public accounting firm or a law firm.  
 
FTI Consulting is an independent global business advisory firm dedicated to helping organizations manage change, mitigate risk and resolve disputes: financial, legal, operational, political & regulatory, reputational and transactional. FTI Consulting professionals, located in all major business centers throughout the world, work closely with clients to anticipateilluminate and overcome complex business challenges and opportunities. ©2026 FTI Consulting, Inc.  
All rights reserved. fticonsulting.com 

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