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Why Apple Never Uses the Term Artificial Intelligence (And What Other Tech Brands Can Learn)

Paul Sandy • September 13, 2024
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Apple deliberately avoids using the term "AI". But why? And what can we learn as tech marketers?

Fact: Apple is one of the world’s largest and most valuable tech companies.


Fact: Apple is one of the most customer-connected brands in the world.


Fact: Artificial intelligence is one of the most talked about trends of 2024.


Fact: Apple didn’t mention artificial intelligence a single time time in this September's “Glowtime” iPhone 16 event launching its new products.


Fact: The term artificial intelligence is mentioned zero times on Apple.com.


Artificial Intelligence (AI) has become one of the most talked about tools in the tech industry, plastered across product descriptions, marketing campaigns, and press releases. Yet, one of the world’s most influential tech companies, Apple, rarely, if ever, uses the term “Artificial Intelligence” when communicating with its customers.


Apple's approach isn’t about downplaying AI (they frequently talk about “Apple Intelligence”) but strategically choosing how it communicates complex technology to its audience. Altogether avoiding the term AI isn't the right choice for all brands. The point is, understanding Apple’s deliberate brand strategy can offer valuable insights into how to connect more effectively with your audience. Let’s explore why Apple avoids the term AI and what other tech brands can learn from this approach.


1. Apple Puts Humans at the Center, Not the Technology


Apple’s brand philosophy has always prioritized the human experience over technical jargon. The company’s key messaging often centers on what its technology can do for people rather than how it works under the hood. Instead of highlighting AI, Apple describes the capabilities of its devices in terms of user benefits:


  • Face ID makes logging in effortless and secure.
  • Smart HDR captures the perfect photo, even in tricky lighting.
  • Personalized Recommendations help you discover what matters to you.


By using human-centric language, Apple speaks directly to the consumer’s needs and aspirations rather than overwhelming them with technicalities.


Takeaway for Tech Brands: Lead with the value your technology provides, not the technology itself. Shift your messaging from “Look at our AI-powered tool” to “Here’s how this tool solves your problem.” Positioning your product in terms of tangible benefits creates a deeper, emotional connection with your audience.


2. Avoiding Tech Jargon Builds Trust and Accessibility


The term “Artificial Intelligence” can evoke mixed emotions, from excitement to skepticism to fear. For some, it conjures images of sci-fi dystopias or concerns about privacy and job security. Apple sidesteps these associations by simplifying its messaging, using everyday language to describe advanced functionalities.


Consider Apple’s introduction of Siri. Instead of boasting about the AI algorithms driving Siri’s capabilities, Apple focused on what Siri does—helping you send messages, set reminders, and answer questions—all with a simple voice command. This approach demystifies the technology and makes it accessible to a broader audience.


Takeaway for Tech Brands: Jargon-heavy messaging can alienate potential customers who may not understand or trust the technology. Simplify your language and focus on how your product integrates seamlessly into the user’s life. The goal is to make your technology feel approachable, not intimidating.


3. Emphasizing Privacy and Security Over Technical Superiority


In an age where data privacy is a growing concern, Apple has positioned itself as a leader in protecting user information. Instead of focusing on the technological marvels of AI, Apple emphasizes privacy features that safeguard user data. For instance, rather than talking about AI algorithms, Apple promotes on-device processing, highlighting how their features work without sending data to the cloud.


This privacy-first messaging resonates with consumers who are increasingly wary of how their data is used by tech companies. By focusing on security and privacy rather than technical prowess, Apple builds a narrative of trust and responsibility.


Takeaway for Tech Brands: As AI becomes more prevalent, so do concerns about data privacy and security. Position your brand as one that values and protects user data. Highlight features that prioritize security and demonstrate your commitment to responsible AI use. This approach not only differentiates your brand but also builds long-term loyalty.


4. Storytelling Over Specs: Create an Emotional Connection


Apple’s marketing has always been more about storytelling than specs. They sell experiences—capturing memories with your iPhone, staying connected with loved ones through FaceTime, or finding your rhythm with Apple Music. These narratives transcend technical explanations and connect on an emotional level, making the technology feel like an enabler of life’s most meaningful moments.


When AI is used in Apple products, it’s embedded within a broader story—one that resonates emotionally with users. Apple never highlights the AI itself; instead, it shows how its products fit into and enhance everyday life.


Takeaway for Tech Brands: Elevate your brand by telling stories that connect emotionally with your audience. Use testimonials, scenarios, and real-life use cases to illustrate the value of your technology. Focus less on how your product works and more on how it makes life better for your users.


Reframing AI for Human Connection


Apple’s reluctance to use the term “Artificial Intelligence” isn’t a rejection of the technology; it’s a strategic decision to prioritize the human experience above all else. By reframing AI as a tool that enhances the user’s life without overwhelming them with technical details, Apple has set a precedent for how tech companies can communicate more effectively.


For tech brands, the lesson is clear: Lead with empathy, communicate with clarity, and always, always keep the human at the heart of your story. The technology will speak for itself.

Sales and Marketing in an AI Therapy Session
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Why Marketing is Often Too Slow to Support Sales Marketing and sales should operate as a dynamic duo, seamlessly collaborating to drive revenue and deliver a unified customer experience. However, in many B2B organizations, sales teams feel that marketing can't keep up with an ever-evolving market. This misalignment often leads to sales teams taking matters into their own hands—creating their own materials, crafting their own messaging, and improvising to close deals. The consequences? Inconsistent branding, inaccurate information, and a decidedly disjointed customer experience. Common Bottlenecks That Slow Marketing Down: Traditional Content Creation Workflows: Marketing teams often follow a rigid content approval process involving multiple stakeholders and revisions, causing delays. Marketing fears Bob Loblaw, sales mocks him. Siloed Data & Insights: Marketing doesn’t always have access to real-time sales insights, making it hard to create relevant materials quickly. 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AI is Powerful, But Leadership is Essential While AI plays a transformative role in bridging the sales-marketing gap, it is ultimately a tool , not a replacement for strategic leadership. The most successful implementations come from visionary leaders who understand how to integrate AI into their existing workflows and align it with their business goals. AI provides insights, automates processes, and accelerates execution, but t he human element remains critical. Marketing and sales leaders must set the vision, interpret AI-driven insights with strategic intent, and ensure that AI enhances—not replac es—customer relationships. A t Speak! Agency, we work with businesses to bring AI-powered efficiencies into their marketing and sales strategies, ensuring that these tools support the bigger picture —one driven by people, vision, and expertise. The Future: AI as the Gas For Marketing & Sales AI isn’t replacing marketing or sales—it’s making both teams more effective. By integrating AI-driven automation, insights, and asset management, companies can eliminate friction and ensure that sales reps have the tools they need before they even ask for them. With AI, marketing teams can work at the speed of sales, ensuring alignment, efficiency, and most importantly—a seamless customer experience. Next Up in This Series: Real-Time Content Creation: How AI Enables Speed & Relevance – Exploring how AI can generate high-quality sales enablement materials in record time. If your company has struggled with slow marketing response times, let us know— how are you solving it today?
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