Redefining Innovation: From Solutions to Meaning in the Age of AI

Roberto Verganti’s Lecture on Innovation, Design, and Creativity

In his lecture at the Stockholm School of Economics, Roberto Verganti explores how true innovation👉 Practical application of new ideas to create value. stems not from better solutions, but from redefining meaning. Using examples from music, design, and AI-generated art, he distinguishes between incremental change and radical shifts—what he calls “epiphanies.” Verganti urges creators to move from user-centered design to values-driven vision, emphasizing that AI won’t replace creators, but will transform who creates and how. The future, he argues, belongs to those who can reframe old perspectives and embrace new roles in shaping culture, technology, and society.

Roberto Verganti’s lecture offers a rich and insightful exploration into how innovation, particularly in creative domains, is deeply shaped not just by new solutions but by new meanings. Through a compelling blend of historical examples, theoretical frameworks, and contemporary challenges—most notably the rise of artificial intelligence—Verganti pushes the audience to reconsider what it means to innovate and who qualifies as a creator in this shifting landscape.

The Shift from Solutions to Meaning

Verganti opens his lecture by confronting a widespread but limited view of innovation: that it is primarily about improving existing solutions. He argues that most innovation efforts mistakenly fixate on enhancing performance, efficiency, or cost—what he calls solution-oriented innovation. This type of innovation is aimed at doing the same things we already do, only better. For example, a digital watch might be designed to tell time more accurately, or a drum machine might seek to replicate a human drummer more precisely. These are incremental improvements that address known problems using known frames of reference.

In contrast, Verganti introduces a more profound and transformative type of innovation: meaning-oriented innovation. This approach does not start with a problem to solve but with a question: “What is the real significance of what we are doing?” Rather than asking how to do something better, it asks why we are doing it in the first place—and whether that purpose still holds meaning in a changing world. This kind of innovation challenges assumptions, reshapes categories, and redefines user experience at a fundamental level.

To illustrate this shift, Verganti recounts the example of digital music production in the 1980s. When the Firelight computer allowed for digital drums, most musicians and producers initially used it to mimic acoustic drums more affordably and consistently. This represented a substitution strategy—using technology to emulate human capability. But artist Peter Gabriel took a radically different approach. Rather than using digital tools to replicate existing sounds, he used them to explore entirely new sonic possibilities—such as the recording of exploding television tubes to create unfamiliar, percussive sounds. These experiments contributed to the birth of “world music,” a genre that combined digital innovation with ethnic and rock influences, and introduced new aesthetic sensibilities.

Gabriel’s creative leap is what Verganti calls an epiphany: a moment of revelation when a new meaning is uncovered, not by solving a known problem but by reframing what the product or experience is about. In this case, percussion was no longer defined by what a human drummer could physically perform; it became a broader exploration of rhythm and impact, enabled by technology. The instrument wasn’t just updated—it was reinvented.

Verganti shows that such reframing has happened in many industries. Another example is the transformation of wristwatches with the advent of electronic components. Initially, companies used digital technology to produce cheaper, more precise timepieces—another substitution. But the true epiphany came with Swatch, which redefined the wristwatch as a fashion statement rather than a precise instrument. Thanks to cheaper production, consumers could now own multiple watches and match them to personal style, much like clothing accessories. The function of telling time became secondary to the expression of identity.

These stories highlight a crucial principle in Verganti’s theory: technology’s deepest potential lies not in replication, but in redefinition. Its real power is not to optimize the status quo, but to offer new frames of meaning through which people engage with products, services, and experiences. According to Verganti, this kind of innovation—epiphanic, meaning-driven—is what reshapes industries and cultural paradigms. It is also what the creative sector must urgently pursue in the face of emerging technologies like artificial intelligence, which similarly offer not just new tools, but new ways of thinking, creating, and living.

Technology and Creativity: The New Frontier

Verganti connects this framework to today’s most urgent creative and technological dilemma: artificial intelligence. He references the AI-generated painting that won an award in Colorado, triggering debates about what qualifies as art. Much like digital tools did for music, AI now infiltrates visual arts, writing, and design.

Rather than succumbing to dystopian panic, Verganti argues we must look for epiphanies—new meanings enabled by AI—not mere emulation. He points out that cameras once threatened painting, but instead, they catalyzed impressionism and abstraction. Thus, he urges creatives not to ask “Will AI replace artists?” but “What new forms of creation will AI enable?”

Changing the Meaning Requires a New Process

Verganti then turns to the methodological implications of meaning-driven innovation, particularly in how businesses and design teams approach creativity and value creation. His central argument is that the innovation of meaning demands a fundamentally different mindset and process than what is typically taught or practiced in many design and corporate environments.

Design as the Creation of Meaning

Verganti begins by reframing the very definition of design. Rather than treating design as a function focused on aesthetics or problem-solving, he proposes a more profound interpretation rooted in etymology. Citing the Latin term designare—meaning “to designate” or “to give meaning”—he argues that the essence of design is sense-making. A designer doesn’t merely make things beautiful or efficient; a designer constructs and communicates meaning through form, function, and symbolism.

Using this lens, design becomes not just a discipline of creation, but one of cultural and philosophical significance. It poses the question: “Does this make sense?”, rather than simply “Does this solve a problem?” In doing so, it aligns more closely with art, literature, and philosophy—disciplines concerned with how humans interpret the world—than with engineering or management, which often focus on optimization.

Inside-Out vs. Outside-In Innovation

Building on this, Verganti introduces the concept of inside-out innovation. Unlike traditional “outside-in” models such as user-centered or human-centered design, which begin by researching user needs and behaviors, inside-out innovation starts with the values, visions, intuitions, and even personal desires of the innovator. It is grounded in beliefs and convictions—a personal stance on what the world needs, even before the world itself knows it.

He critiques methodologies like IDEO’s design thinking👉 Design thinking is a user-centered, iterative approach to creative problem-solving., which place heavy emphasis on user observation, empathy mapping, and brainstorming. While these methods are excellent for incremental improvements—making a shopping cart more modular or a website more intuitive—they rarely yield radical redefinitions of meaning. That’s because they are anchored in existing behaviors and expectations, which can blind designers to truly novel possibilities.

Verganti illustrates this through the example of the Nintendo Wii. At a time when competitors like Microsoft and Sony were engaged in an arms race over graphics performance and controller precision—each responding to the supposed needs of hardcore gamers—Nintendo took a contrarian path. They didn’t try to make a better traditional console; they reimagined what gaming could mean. Instead of sitting passively and pressing buttons, players would now move their bodies, interact socially, and engage casually with others. Gaming became about real-life movement and group enjoyment, not just virtual mastery. This leap didn’t come from user research; it came from within the company’s values and desire to democratize play.

This type of leap, Verganti argues, can only occur when creators begin from a place of internal vision rather than external validation.

The Emotional Commitment of the Innovator

Verganti underscores that such transformative innovation also demands emotional authenticity and personal conviction. He references a conversation with Steve Wozniak, co-founder of Apple and designer of the first personal computers. Wozniak explained that when you’re inventing something that doesn’t exist—like the personal computer—you can’t rely on user input. There are no users yet. Instead, you must create what you love, and trust that others will come to love it too.

Wozniak’s insight is distilled in the quote Verganti highlights:
“If you design something you don’t love, how will others love it?”

This isn’t just sentimentality—it’s strategic. Without genuine emotional investment, innovators are likely to abandon their efforts when they encounter the inevitable obstacles of market skepticism, technical failure, or institutional resistance. But if the designer believes deeply in the vision, they are more likely to persist through those early rejections—often the very rejections that precede a breakthrough.

Leadership, Value Systems, and Responsibility

Verganti extends this principle beyond the individual to the organizational level. He argues that meaningful innovation is closely tied to a company’s value system. When an organization chooses to innovate through meaning, it is effectively making a statement about its identity, purpose, and desired impact on the world. Therefore, such innovation cannot be outsourced or crowdsourced—it must be led from within.

He likens this responsibility to that of a parent: just as a good parent does not always give a child what they want (like candy) but rather what will nourish their growth (like a smoothie), a good designer or company doesn’t merely respond to consumer desires but seeks to elevate them. In Verganti’s words, the designer must consider not just the immediate user, but the person the user could become—a long-term, ethical perspective.

This metaphor of the “good parent” challenges the designer to embrace both vision and stewardship, and to navigate between personal intuition and societal responsibility. It demands that designers be not only creatives and problem-solvers but cultural interpreters and ethical agents.

The Role of Reframing in Innovation

One of the most thought-provoking parts of Verganti’s lecture is his analysis of how innovation is often not about new ideas, but new lenses—a process he calls reframing. He argues that many groundbreaking ideas are not hidden or inaccessible; rather, they are in plain sight but remain unrecognized or dismissed because we evaluate them using outdated or conventional frameworks of meaning.

Verganti illustrates this with the iconic case of Nokia. At the height of its power in the mid-2000s, Nokia dominated the mobile phone industry. It had exceptional engineering capabilities, global market reach, and access to advanced technologies like touchscreens, streaming, and app platforms—all the components that would later define the iPhone. Yet, when Apple launched the iPhone in 2007, Nokia failed to respond meaningfully—not because they lacked the technological means, but because they were unable to reframe what a phone could be.

For Nokia, a phone was still primarily a communication device—a tool to make calls and send messages. They optimized their products to serve this function more efficiently, believing this definition would remain relevant. Apple, on the other hand, proposed a new frame: a phone was no longer just for communication—it was “your life in your pocket.” With the iPhone, Apple fused phone, computer, camera, music player, and internet device into a single, emotionally resonant experience. It was not better telephony; it was a new interpretation of what a personal device could mean in everyday life.

Verganti stresses that this inability to reframe was Nokia’s downfall. The problem wasn’t a lack of innovation or resources—it was a failure to see the value of a different meaning. This, he notes, is a recurring theme in industries facing technological disruption: organizations and individuals often cling to familiar definitions and success formulas, blinding themselves to new possibilities right in front of them.

The Need to Revisit Our Myths and Assumptions

To explain why this failure to reframe is so persistent, Verganti turns to Umberto Galimberti, a philosopher who suggests that to understand a world in flux, we must revisit our myths—the deep-seated narratives, assumptions, and cognitive models that shape how we interpret reality.

In this context, “myths” are not fictions, but implicit belief systems—what we assume to be true or meaningful without questioning. In innovation, these myths shape the way we judge ideas, products, and even people. For example, a myth might be that a good phone must have physical buttons, or that photography must capture reality rather than evoke emotion. These beliefs act as filters, determining which ideas are considered credible, useful, or worth investing in.

Verganti argues that real innovation does not require more ideas, which are abundant and often recycled. Instead, it requires changing the frames through which we assess those ideas. He compares this to changing the glasses through which we view the world. If the lenses are outdated, even the most radical and valuable ideas will appear irrelevant or nonsensical.

Why Reframing Is So Difficult—and So Necessary

Reframing is difficult because it requires self-criticism and intellectual humility. It challenges the very foundations of what organizations, institutions, or individuals believe has made them successful. As in the Nokia case, sticking with a legacy frame may feel safer, but it can quickly become a liability in a fast-changing environment.

This is why, according to Verganti, reframing is not just a creative act—it is a leadership act. It demands the courage to question what is taken for granted, to explore the boundaries of meaning, and to envision what else a product, service, or experience could be. Reframing is how innovators create space for epiphanies—those shifts in meaning that transform industries and cultures.

Verganti’s critique resonates beyond business. He points out that reframing is especially critical in today’s AI era, where technologies like generative design, image synthesis, and algorithmic creativity are emerging at a rapid pace. If we continue to evaluate these tools by old standards—judging AI art by the criteria of human painting, for example—we will miss the transformative potential these technologies offer.

From Frames to Futures

Ultimately, Verganti challenges innovators, designers, and leaders to become more than solution-finders. He asks them to become frame-makers: people who can craft new interpretive lenses through which society can see, desire, and value differently. Reframing, in his view, is not a technical upgrade—it is a cultural and philosophical endeavor, the foundation upon which truly meaningful and lasting innovation is built.

The Creative Community’s Strength—and Weakness

Verganti holds that communities in architecture and art are especially strong in inside-out innovation, as their training emphasizes long-term impact and systemic thinking. For example, architects design buildings that outlive current user needs and must consider future generations.

However, he critiques these communities for often being resistant to reframing. Historical examples like Claude Monet’s rejected paintings and Memphis-style design furniture illustrate how radical expressions were initially dismissed by critics for violating the prevailing standards.

He argues that critics—whether in art, design, or industry—often fail to recognize new creators, especially when their work doesn’t fit traditional metrics of value or quality. He uses the example of the Fotografiska photography museum to highlight how traditional critics struggle to validate new experiential or immersive forms of photography.

Who Will Be the New Creators?

A central provocation of Verganti’s talk is: “Who will be the new creators?” With AI reshaping the creative landscape, old creators may lose relevance. But this does not mean creativity is dead—it is shifting. The next generation of creators might come from entirely unexpected backgrounds, using tools like AI not as replacements but as amplifiers of new ideas.

He draws inspiration from the movie Ratatouille, where a rat becomes a celebrated chef. The critic, initially hostile, eventually embraces the radical shift. Verganti suggests that the most exciting innovations will come from those willing to reframe their roles and perceptions—creators and critics alike.

Importantly, he distinguishes between chronological age and mindset: “You can be fantastically new when you’re 95 if you change your frames.”

Industry-Wide Transformation and Responsibility

Verganti widens the lens to examine how the creative industry at large is on the brink of transformation. He references Memphis design’s evolution from artistic provocation to mass-market influence via Alessi products and Apple’s early design language. Today, fashion, gaming, and architecture are again undergoing shifts that will ripple across society.

He calls on designers to take responsibility for the values they embed in their work. With AI and other transformative tools, designers aren’t just making artifacts—they’re influencing behaviours, economies, and even democracies.

He’s especially critical of the legacy of design thinking, arguing it produced many superficial, unsustainable innovations. He urges designers to go beyond serving users and instead serve ecosystems, including nature, future generations, and society at large.

Radical vs. Incremental Change

In response to a thoughtful audience question about whether radical change is always desirable, Verganti asserts that radical change will happen regardless. Technological tipping points—such as the current surge in generative AI—make such transformations inevitable. The task is not to avoid change but to guide its meaning.

Still, he acknowledges that not every epiphany is inherently good. Determining what’s “good” requires collective dialogue. Since reframing involves values, not just technical trade-offs, judgment becomes complex. A Tesla might appear sustainable at first glance, but its broader ecological implications (e.g., battery disposal) may reveal otherwise.

Hence, Verganti advocates for value-based reflection, grounded in dialogue, transparency, and systemic awareness.

Conclusion: A Moment of Opportunity

Verganti closes on a high note: despite the disruptions ahead, this is a moment of unprecedented opportunity for the creative industries. By embracing AI not as a substitute for human creativity but as a catalyst for new kinds of creators, designers, and experiences, we can shape a future that is both meaningful and impactful.

The central challenge—and opportunity—lies in our willingness to change ourselves. Not only must creators evolve, but so too must the critics, investors, educators, and industries that support them.