January 7, 2025
Shenan Reed
Global Chief Media Officer
From AI to EVs: How Shenan Reed is Shaping General Motors’ Media Future
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The automotive industry stands at an inflection point. As electric vehicles gain market share and artificial intelligence reshapes consumer marketing, the question for legacy automakers isn't whether to adapt—it's how quickly they can transform their entire approach to reaching and connecting with customers.
In Speed of Culture Podcast Episode 152, Shenan Reed, Global Chief Media Officer at General Motors, sits down with Matt Britton, founder and CEO of Suzy, the AI-powered consumer intelligence platform, to discuss how GM is navigating this transformation through a comprehensive reimagining of its media strategy.
The conversation reveals how a century-old automotive icon is deploying cutting-edge technology to address fundamental marketing challenges—from building trust around electric vehicles to measuring the impact of every marketing dollar spent. Reed's insights reflect both strategic boldness and pragmatic grounding, offering actionable lessons for marketing leaders across industries who are grappling with similar transformations.
Her career trajectory—from founding a digital marketing agency to leading media operations at luxury conglomerates before joining GM—positions her uniquely to bridge traditional marketing wisdom with forward-thinking innovation. This episode, recorded in January 2025, captures a critical moment when data-driven personalization, AI-enabled measurement, and integrated media strategies are no longer competitive advantages—they're prerequisites for success in a rapidly evolving marketplace.
The interview touches on three critical areas reshaping automotive marketing: the role of AI as a fundamental business enabler, the necessity of dismantling outdated distinctions between traditional and digital media, and the strategic imperative of transparent, data-driven communication in driving EV adoption.
Throughout the conversation, Reed demonstrates how GM is translating these insights into concrete initiatives that balance corporate innovation with community-level implementation, leveraging its extensive dealership network as both a distribution channel and an innovation incubator. For marketing executives, brand strategists, and business leaders navigating digital transformation, this episode offers both strategic frameworks and practical examples of how to implement change at scale.
Artificial intelligence has moved well beyond algorithmic hype into practical application across automotive marketing operations. Shenan Reed describes AI not as a replacement technology but as what she terms a "soup-to-nuts enabler"—a comprehensive infrastructure that touches nearly every aspect of modern marketing, from creative development and audience segmentation to measurement and optimization.
This framing is crucial for organizations that have felt overwhelmed by AI discourse or uncertain about where to begin their transformation efforts.
In practice, GM's deployment of AI focuses on solving specific, high-impact marketing challenges. One concrete example Reed highlights involves personalized email campaigns. Traditionally, creating truly individualized communication at scale required significant investment—custom copywriting, segmentation strategies, and testing protocols that pushed the boundaries of team capacity and budget.
AI fundamentally changes this equation. Modern AI systems can generate thousands of personalized email variations tailored to individual consumer behaviors, preferences, and contexts—without the traditional costs associated with manual customization.
A customer interested in electric vehicle range gets messaging emphasizing GM's EVs' extended capabilities. A safety-conscious buyer receives communication highlighting advanced driver assistance systems. A budget-focused prospect sees information about financing options and total cost of ownership.
This capability extends across the entire marketing ecosystem. AI enables measurement systems that connect campaign exposure to purchasing behavior across multiple touchpoints, creating previously impossible attribution models.
For a company like GM, which operates across traditional media (broadcast, print, outdoor), digital channels (search, display, social), and emerging platforms (connected TV, streaming audio), unified measurement through AI-powered systems represents a significant competitive advantage. It transforms marketing from an area of educated guesses and delayed reporting into a real-time, quantifiable discipline.
However, Reed also acknowledges the ethical dimensions of AI-driven personalization. The conversation touches on the importance of ensuring that personalization serves consumer interests rather than manipulating decisions.
This balanced perspective—embracing AI's capabilities while maintaining ethical guardrails—reflects a level of thoughtfulness often absent from corporate technology adoption. Reed's approach suggests that sustainable competitive advantage in AI-driven marketing comes not from deploying the most sophisticated technology available, but from deploying technology in ways that respect consumer autonomy and deliver genuine value.
The implications for GM are substantial. By embedding AI across its marketing operations, the company can respond more quickly to market changes, test new approaches more efficiently, and allocate budgets with greater precision.
For other organizations watching GM's evolution, the key takeaway is that AI implementation success depends less on technology selection than on how clearly leaders define the business problems they're solving and how thoughtfully they integrate new tools into existing workflows.
One of the most significant strategic shifts underway at General Motors involves reconceptualizing the relationship between traditional and digital media. For decades, marketing organizations maintained structural separation between these channels—different teams, different budgets, different measurement systems, and often, different performance standards.
Digital media typically emphasized metrics like click-through rates and conversion tracking, while traditional media was evaluated through reach and frequency estimates. This distinction has become increasingly problematic in an environment where consumers move fluidly between channels and expect consistent brand experiences regardless of platform.
Shenan Reed articulates a more integrated framework:
"It's all performance media."
This seemingly simple statement represents a fundamental reorientation of how modern marketing organizations should think about channel strategy. Rather than asking "Should we invest in broadcast or digital?" the right question becomes "What is the most efficient way to drive our business objectives across all available channels?"
A national awareness campaign for a new electric vehicle line might combine broadcast television ads reaching millions of potential customers with programmatic display advertising targeting specific demographic and behavioral segments. Connected TV—streaming video technology that combines the reach of traditional television with the targeting precision of digital platforms—blurs the boundaries between these traditionally distinct channels.
For GM specifically, this framework enables more sophisticated resource allocation. The company can measure the collective impact of a customer's exposure to multiple touchpoints rather than trying to isolate the contribution of individual channels.
A consumer might first encounter a GM EV advertisement on a streaming music platform, then see it again in a social media feed, receive a personalized email based on their browsing behavior, and finally encounter a display ad on a news website. Rather than attributing the conversion to whichever touchpoint occurred last, a unified performance media approach recognizes the cumulative effect of all these exposures and allocates credit accordingly.
This integration also affects how GM structures its media team and processes. Instead of separate traditional and digital media managers negotiating budgets and strategy, unified teams focus on shared business outcomes.
Negotiation shifts from "how much of the total budget should traditional media receive?" to "what's the optimal combination of channels to reach our target audience at the lowest cost per qualified lead?" The data increasingly shows that most effective campaigns involve multiple channels working in concert.
The adoption of performance media frameworks also reflects a broader maturation of the industry. Media buying has historically been opaque, with agencies receiving commissions based on media spend rather than results, and measurement systems that were unreliable and prone to manipulation.
Increasingly, major marketers like GM are implementing systems that tie agency compensation to outcomes, demanding transparent measurement, and investing in tools that can track campaign effectiveness in real-time. This shift creates better incentives across the ecosystem and ultimately leads to more efficient marketing investments.
For marketing leaders in other industries, the performance media concept offers a template for thinking about channel integration. Rather than defending existing organizational silos, leaders might ask: What business outcomes are we trying to drive? What combination of channels reaches our target audience most efficiently? How can we measure cross-channel impact?
The answers will differ by industry and business model, but the underlying principle—unified measurement and strategy around performance—applies broadly.
The automotive industry's transition to electric vehicles represents one of the most significant business transformations of the current era. From a marketing perspective, this transition presents unique challenges.
A technology that most consumers have limited experience with must compete against decades of familiarity with internal combustion engines. Cost concerns, infrastructure anxiety, range limitations (perceived or real), and charging time all represent barriers to adoption.
For a company like General Motors, which has committed substantial capital to EV development and manufacturing, driving consumer adoption is existential.
This is where Shenan Reed's emphasis on data-driven communication becomes particularly important. Media headlines frequently suggest that EV adoption is slowing or even declining—claims that reflect skepticism about long-term market growth.
Reed's perspective, grounded in data, offers important nuance. Electric vehicle sales continue on an upward trajectory, though at a more measured pace than some earlier forecasts predicted.
Rather than accepting that EV skepticism is inevitable or immutable, GM's media strategy focuses on methodically addressing specific consumer concerns with targeted information.
Range anxiety represents perhaps the most significant EV adoption barrier. Consumers worry that electric vehicles won't travel far enough on a single charge, forcing frequent stops for recharging or limiting where they can drive.
This concern, while partially rational—early EV models did have limited range—has become more myth than reality for many of GM's vehicles. Modern GM electric vehicles can travel over 300 miles on a single charge, making them practical for the vast majority of American driving patterns.
Yet this capability doesn't automatically translate into consumer awareness or confidence.
GM's approach involves making this capability tangible and relatable through concrete examples. Rather than simply stating "300+ mile range," the company emphasizes what this range enables: driving from Houston to Corpus Christi on a single charge.
This framework transforms an abstract specification into a concrete, relatable achievement. It tells a story.
A consumer reading this doesn't just learn a technical specification; they envision themselves driving this route, attending business meetings or family gatherings, without worrying about finding a charger. The message implicitly answers range anxiety by showing what's possible in realistic driving scenarios.
This approach reflects a deeper insight about consumer decision-making. People don't make major purchases like vehicles based on specifications alone.
They make decisions based on how those specifications align with their lifestyle, values, and concerns. A parent deciding between an EV and a traditional vehicle needs assurance that the EV will reliably handle school pickup, soccer practices, grocery runs, and occasional longer drives.
A business executive considering fleet electrification needs confidence that electric vehicles won't disrupt operations or reduce employee satisfaction. GM's data-driven communication strategy targets these specific concerns with relevant information rather than assuming all consumers care equally about the same attributes.
The message also reflects changing market dynamics. The electric vehicle space has become increasingly competitive, with new entrants like Tesla, Rivian, and various Chinese manufacturers challenging established automakers.
Differentiation increasingly comes from how effectively companies communicate their vehicles' capabilities and address consumer concerns. A company like Tesla built its market position partly through direct communication with consumers via social media and public statements from leadership.
Traditional automakers like GM are adapting by becoming more direct and specific in their communication while leveraging their advantages—established dealership networks, manufacturing expertise, and long-term customer relationships.
For marketing leaders in any industry facing product transitions or consumer skepticism, the EV example offers important lessons.
One aspect of GM's transformation strategy that often receives less attention than corporate-level initiatives involves implementing national strategies at local community levels. The company's extensive network of dealerships serves as both a distribution channel and an innovation incubator.
This approach—maintaining clear strategic direction from corporate headquarters while enabling local adaptation—represents a sophisticated understanding of how consumer behavior and preferences vary by geography and community.
Reed describes dealerships as "innovation partners," a designation that goes beyond the traditional model where dealerships simply execute corporate-mandated strategies.
Instead, dealerships have latitude to adapt corporate initiatives to community contexts. This might involve timing promotions around local events, partnering with community organizations, or highlighting vehicle capabilities particularly relevant to the local climate or geography.
A dealership in Minnesota might emphasize cold-weather performance capabilities and battery performance in extreme temperatures. A dealership in California might focus on air quality benefits and alignment with environmental values common in the region.
This approach addresses a fundamental challenge of large organizations: balancing standardization (which reduces costs and ensures consistency) with localization (which recognizes that customers have different needs and preferences by geography).
Too much standardization becomes irrelevant to local markets. Too much localization creates inefficiency and prevents the organization from achieving scale benefits.
GM's strategy seeks the optimal balance by centralizing strategic direction and measurement while decentralizing execution.
The model also leverages an important asset that pure-play digital or online automotive platforms lack: human relationships and community presence.
Dealerships employ hundreds of thousands of people with deep community roots and customer relationships built over years or decades. These relationships create trust that no amount of advertising can instantly generate.
When a trusted local dealership manager—someone who has sold cars to multiple family members—recommends an electric vehicle and backs up that recommendation with specific knowledge about how it will suit the customer's driving patterns, it carries weight that corporate advertising cannot match.
Simultaneously, dealerships benefit from corporate-level advantages. National advertising builds awareness and creates customer interest that dealerships convert into sales.
Corporate-negotiated media buying ensures efficiency that individual dealerships couldn't achieve independently. Sophisticated measurement systems provide dealerships with insights about which local marketing tactics drive actual sales.
This creates a symbiotic relationship where national scale and local presence reinforce each other.
The challenge, of course, lies in execution. Corporate communication about strategy must be clear enough that dealerships understand what they're expected to do while being flexible enough that dealerships can adapt to their specific contexts.
Measurement systems must allow corporate leadership to ensure accountability while giving dealerships visibility into their own performance. Compensation structures must incentivize both adherence to corporate strategy and local innovation.
Managing these tensions requires sophisticated organizational leadership, and Reed's emphasis on this dimension suggests that GM recognizes these challenges and is actively addressing them.
A subtle but important theme throughout Reed's career narrative involves the importance of curiosity and a willingness to experiment with emerging platforms before they've been validated by mainstream adoption.
Early in her career, Reed explored advertising opportunities on platforms like PopSugar—online publishing properties that had developed engaged audiences but were still unproven at scale for advertising. She created branded content partnerships that would become increasingly important as platforms evolved.
These early experiments didn't always succeed, but they provided education about how these platforms worked and what they could offer.
This approach to innovation differs from the risk-averse posture that often characterizes large organizations. Many companies wait for emerging platforms to achieve critical mass before allocating budget.
By that point, first-mover advantages have often been captured, advertising costs have increased, and best practices have standardized. Companies willing to experiment earlier can establish presence before competition becomes fierce, learn about audience and creative approaches with less budget, and sometimes discover opportunities that later-arriving competitors miss.
The approach does carry risks. Not every emerging platform becomes strategically important.
Investing in too many experimental channels can diffuse resources and distract from core initiatives. However, Reed's career suggests a middle path: maintain awareness of emerging platforms and opportunities, allocate a modest portion of budget to experimentation, learn systematically from experiments, and scale approaches that prove effective.
This principle has direct relevance to AI and data-driven marketing. Organizations that waited for AI tools to be completely proven and standardized before adopting them are now several years behind those that began experimentation earlier.
The companies most effectively leveraging AI in marketing are often those that started experimenting when the technology was less mature, less proven, and frankly, less polished. They learned by doing rather than waiting for guarantees of success.
For marketing leaders evaluating resource allocation, the lesson is to budget explicitly for innovation and learning.
This systematic approach to innovation, practiced consistently, often produces more sustainable competitive advantage than dramatic strategic pivots driven by panic about missing big trends.
The convergence of AI, unified media strategy, EV adoption challenges, and local implementation at scale points toward a future in which automotive marketing becomes simultaneously more personalized and more integrated.
Consumers will experience communication tailored to their specific interests and needs, delivered across channels they use throughout their day, measured in real-time to ensure effectiveness. This represents a fundamental shift from the broadcast-based marketing that dominated for much of the 20th century.
For General Motors and other traditional automakers, the opportunity is substantial but requires sustained focus and execution. It's not enough to deploy AI tools or announce a unified media strategy.
Success depends on translating these frameworks into daily practices across large organizations, changing team structures and incentives, investing in new capabilities, and maintaining focus even when results take time to become apparent.
It requires leaders like Shenan Reed—deeply experienced in traditional marketing but intellectually curious about emerging approaches, willing to acknowledge change while maintaining focus on fundamental business principles.
The Speed of Culture Podcast conversation with Shenan Reed offers marketing leaders a case study in strategic thinking about a complex business challenge.
For those leading marketing organizations, the practical implications are clear: examine your current media investment and measurement approaches and ask whether they're optimized for today's consumer behavior or yesterday's channel preferences.
Where are the inefficiencies created by maintaining separate systems for traditional and digital? What AI-enabled capabilities could make your team more effective? How can you balance innovation with execution excellence?
General Motors applies AI across multiple dimensions of marketing operations. Most immediately, AI enables personalized communication at scale—generating thousands of customized email variations tailored to individual customer preferences without traditional personalization costs.
AI also powers unified measurement systems that track campaign impact across multiple touchpoints (broadcast, digital, social, email), providing attribution insight previously impossible. Additionally, AI supports audience segmentation, creative optimization, and real-time campaign adjustments based on performance data.
The company describes this as AI serving as a "soup-to-nuts enabler" that touches nearly every aspect of modern marketing.
Reed's framework rejects the traditional distinction between brand-building media (evaluated on reach and frequency) and performance media (evaluated on conversions and measurable ROI).
Instead, she argues that all media investments should be evaluated on their contribution to business objectives, whether those objectives involve awareness-building or direct sales.
This shift enables organizations to abandon channel silos, unify measurement, and allocate budgets based on efficiency rather than tradition. In practice, it means marketing organizations should measure and optimize across all channels as an integrated system rather than evaluating traditional media and digital media separately.
Based on GM's approach, effective EV adoption strategies combine three elements: data-driven communication that directly addresses specific consumer concerns (like range anxiety), translating technical specifications into relatable, lifestyle-relevant examples, and transparency about both capabilities and limitations.
Rather than assuming all consumers prioritize the same attributes, successful EV messaging targets specific concerns with relevant information.
For example, emphasizing that a vehicle can travel from Houston to Corpus Christi on one charge addresses range anxiety more effectively than stating a technical specification like "300+ mile range." Ongoing communication should evolve as market conditions and consumer knowledge evolve.
Reed describes General Motors' approach as treating dealerships as "innovation partners" rather than simply execution channels.
This involves maintaining clear strategic direction and national marketing initiatives from corporate headquarters while empowering local dealerships to adapt strategies to their specific communities.
Success requires clear communication about strategic direction and objectives, measurement systems that hold dealerships accountable while providing visibility into local performance, and compensation structures that incentivize both corporate strategy adherence and local innovation.
This balance enables organizations to achieve scale efficiency while remaining relevant to local customer needs and preferences.
The transformation underway at General Motors—and across the automotive industry more broadly—illustrates how traditional companies can adapt to rapid change through strategic thinking about technology, consumer behavior, and organizational implementation.
The insights Shenan Reed shared in the Speed of Culture Podcast conversation offer lessons for marketing leaders across industries navigating similar transformations.
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