The Innovation Imperative: Research as Fuel, AI as the Engine

Introduction

For the past few years, a new wave of innovation has been reshaping industries, driven by advances in artificial intelligence, the Internet of Things (IoT), robotics, autonomous systems, and clean technology. However, it is AI that continues to dominate the conversation, often appearing as the only innovation that matters.

Nowhere is this more evident than in marketing communications. For creatives working in this space, this is the most transformative era they have ever experienced. AI can write copy, design creative, simulate audiences, predict behavior, analyze data, and even optimize campaigns autonomously. And yet, for all its power, AI has a fundamental limitation: it cannot create the future from the past alone. It can only remix what it has been given:

  • Generative models are trained on yesterday’s data
  • Predictive models are calibrated to yesterday’s patterns
  • Evaluative models judge outcomes against yesterday’s criteria
  • Optimization models reinforce yesterday’s norms
  • Agentic systems act within yesterday’s assumptions

If organizations do not expand their research design to achieve a triangulation of methodologies, AI alone becomes a highly efficient mixtape, remixing the past rather than composing the future. This power has created a dangerous assumption: that using AI is the only research required.

 

The Misconception: Why using AI does not eliminate the need for research

There is a growing belief that using AI is all you need to gain insight, much like Googling once served as the shortcut to finding the answer rather than conducting rigorous research across multiple sources. The assumption is understandable. AI feels intelligent. It responds instantly. It synthesizes language with confidence. But the assumption is fundamentally flawed. The results after submitting a prompt to an AI platform is limited. It is retrieval, recombination, and inference for secondary research purposes. It responds to prompts using patterns embedded in historical data. While AI can efficiently aggregate results from multiple sources as an effective secondary research method, it should not serve as the only input for a research study, and especially a study focused on discovery. By itself alone, AI is reflection. True research requires:

  • Intentional design
  • Systematic data collection
  • Methodological rigor
  • Triangulation
  • Saturation
  • Validation

Without these elements, AI doesn’t become intelligent, it becomes convincing.

 

Knowledge, Intelligence, & Wisdom

Authority without evidence is how misinformation scales. We have experienced this firsthand over the past decade. The real danger is not that AI gets things wrong, but that it gets them plausibly right. Answers sound complete while the underlying questions remain unexplored. Confidence replaces comprehension.

Just as searching the web never replaced scientific inquiry or critical thinking, prompting AI does not replace research. It accelerates access to what is already known, or assumed.

Innovation does not come from faster answers. It comes from better questions, tested in the real world.

This is why research becomes more important, not less, in an AI-driven era. Not because AI replaces research, but because AI depends on it. Models require triangulation across data, methods, and perspectives. They require new datasets, new contexts, new constructs, and new ways of understanding human behavior.

Innovation doesn’t come from engines that generate. It comes from the knowledge that fuels them.

Access to information has never been easier. But access alone does not make us smarter. As technical skills become increasingly automated, intelligence shifts upstream, from execution to interpretation, from calculation to judgment. What matters now is the ability to sense nuance, anticipate change, recognize what data cannot yet explain, and understand people beyond what they explicitly say.

This is where human empathy and intention, intuition and foresight, become essential, not in opposition to AI, but as the inputs it cannot generate on its own.

 

Bias & Preconceived Notions

This may sound like a defensive position on research at the expense of AI. It is not. It is an argument for humans to work smarter, and to design machines that can move faster and further than we can alone. The path forward is not automation without inquiry, but interdisciplinary research that expands what AI can see, test, and imagine. I recognize that AI and automation can be integrated into nearly every aspect of research. We are already observing the impact of agentic AI in market research, transformation is already underway. The danger, however, lies in the belief that AI alone is all that is needed to reveal insight.

AI does not eliminate the need for research. It raises the cost of getting it wrong. And the only way AI creates something genuinely new is if we do. If AI reflects the past, then innovation depends entirely on what we introduce into the system next.

 

Driving Innovation: Interdisciplinary Research Domains

How do we introduce new insights and perspectives into the system? By activating interdisciplinary research domains that will serve as fuel for the next generation of AI-driven innovation include:

  • Anthropology & Ethnography: What culture means before it can be measured
  • Psychology: How individuals perceive, feel, and decide
  • Behavioral Economics: Where cognition meets decision-making
  • Neuroscience: The subconscious forces underlying choice
  • Human Ecology: How behavior scales across populations and systems
  • Market & Design Research: Where insight becomes action
  • Science: How we know what’s true

Each contributes insight that AI cannot generate on its own.

 

Anthropology & Ethnography

Cultural meaning and lived context AI cannot infer

AI can identify correlations. It cannot understand culture or context unless we teach it. Anthropology and ethnography ground patterns in meaning and behavior, revealing not just what people do, but why those actions matter within daily life. This empowers:

  • Emerging cultural signals before they become trends
  • Shifting cultural rituals, identities, and social norms as they are practiced, not reported
  • Implied behaviors people rarely articulate in surveys or prompts
  • New meanings not yet encoded into digital history

Anthropology interprets culture at scale. Ethnography observes it in motion. Without them, AI behaves like a tourist: it gets stuck in the traps. In marketing communications, this results in messages that mirror culture rather than inspires culture.

 

Market & Design Research

Human understanding in systems shaped by algorithms

AI observes patterns. It does not understand people. Market and design research translate behavior into insight, connecting actions to intent, perception, and experience. This empowers:

  • Behavioral insight into how people think, feel, decide, and act
  • Experiential understanding that distinguishes signal from noise
  • Contextual insight into media behavior across channels and touchpoints
  • Learning from prototypes, journeys, and real-world interactions

Market research surfaces patterns at scale. Design research turns them into lived experience. Without this foudnation, AI optimizes metrics without meaning, confusing correlation for causation and performance for relevance.

 

Behavioral Economics

Decision-making frameworks AI does not possess

AI knows what people did. Behavioral economics explains why they didn’t act rationally. This empowers:

  • Heuristics and cognitive shortcuts
  • Models of bias, loss aversion, and context-driven choice
  • Interpretations of behavior that break linear assumptions

Without these frameworks, AI defaults to outdated models of rational behavior, particularly dangerous where influence can adversely effect outcomes.

 

Psychology

Underlying behavior versus surface-level understanding

AI can only model what we understand about the human mind. Psychology reveals underlying motivations and behavior, the conscious and unconscious thought and emotion. This empowers:

  • Insight into motivation, emotion, and perception
  • Understanding of decision-making under stress and ambiguity
  • Contextual frameworks that shape behavior before it is observable

When organizations rely on outdated psychological assumptions, AI optimizes for a version of humanity that no longer exists.

 

Human Ecology

Population dynamics AI has never seen

Generative systems were trained on yesterday’s population. Human ecology introduces how people are actually changing. This empowers:

  • Generational realities
  • Regional and cultural dynamics
  • Socioeconomic movement and constraint

AI cannot predict futures it has never been shown. Innovation requires introducing demographic change before it appears in historical data.

Science

Validation in a world of machine-generated certainty

AI generates. It does not validate. This empowers:

  • Frameworks for evidence and inference
  • Methods for evaluating and stress-testing models
  • Safeguards against hallucination, bias, and false certainty
  • Standards of transparency, replication, and testability

Without scientific rigor, AI becomes confident without being correct, a dangerous combination in any system of consequence.

 

Neuroscience

Signals beneath conscious awareness

Humans don’t always act on what they say. Neuroscience reveals the drivers beneath language. This empowers:

  • Biometric and affective data
  • Insight into attention, emotion, and memory
  • Understanding of subconscious response

These inputs allow AI to model the true drivers of behavior, not just those visible in historical datasets.

 

Application: Harnessing the Power of AI

AI engines can drive innovation at scale, but only when research methodologies surface insights that challenge models to think differently. This requires intentional design, configuration, monitoring, and control of AI systems.

 

Case Study: Synthetic Data

Synthetic data is artificially generated data that replicates the structure and relationships of real-world data without copying real people or events. It behaves like real data, but it is not real data. Synthetic data empowers research to:

  • Simulate new markets
  • Test new concepts
  • Explore new customer journeys

But synthetic data is not imagination. It is interpolation. It can only extrapolate from the quality and novelty of the research inputs it receives. Synthetic data scales innovation. Research creates it.

 

Actionable Insight

Innovation requires new inputs. AI cannot generate them alone. While synthetic data and advanced modeling can scale insight, research remains the source of discovery. Organizations that believe AI will replace research misunderstand both.

AI is not a crystal ball. It is a mirror: brilliant, fast, scalable, but ultimately reflective. If we train AI only on the past, it will deliver the past. Slightly optimized. Beautifully packaged. Endlessly remixed. The future belongs to those who design AI systems with new:

  • Cultural insight
  • Behavioral frameworks
  • Emotional signals
  • Societal context
  • Methods of measuring meaning

AI does not eliminate the need for research. It elevates it to a strategic imperative. Because the only way AI creates something genuinely new is if we do.


The Law of Brand Evolution

How copyright, trademark, and culture force brands to evolve, and why disciplined brand architecture is the essential act of self-preservation.

 

The Expiration

Every great mark carries a timer. Copyrights end. Trademarks must be used, renewed, and defended. In today’s remix economy, fan edits, memes, AI-generated art, and parody, control isn’t binary; it’s a discipline. The brands that endure treat legal reality not as a constraint, but as a creative operating system. They evolve on purpose, on cadence, and in public.

A brand, at its core, is a system:

  • A belief structure (mission, vision, values)
  • An identity (visuals, voice, experience)
  • A culture (people, behavior, governance)
  • And a set of outcomes (equity, preference, loyalty, performance)

When law and culture shift, the system adapts. A strong brand doesn’t just express, it endures, because it’s designed to evolve.

 

Copyright vs. Trademark: The Countdown of Creativity

Copyright protects creative works, but only for a limited time - 95 years in the United States. Trademark protects identifiers, logos, characters, slogans, for as long as they’re actively used and defended. Every January, a new class of cultural icons quietly crosses the threshold into public domain. In recent years, that list has become more cinematic over the past few years, including The Jazz Singer, The Sun Also Rises, The Great Gatsby, and the cornerstone of the Disney empire, Steamboat Willie. Once only limited to literary works, the expiration now includes the early visual and narrative DNA of Hollywood itself. By the mid-2030s, even Snow White, Bambi, and Batman will be up for grabs. For studios that built their empires on IP, 95 years suddenly feels brief. When Disney’s Steamboat Willie entered the public domain in 2024, the earliest version of Mickey Mouse became fair game for public use. But Disney was ready. Since 2007, the studio’s animated logo has featured that same black-and-white Mickey, transforming him into a trademarked identifier. It’s a kind of legal choreography: turning expiring IP into living identity. Disney didn’t merely preserve Mickey, it proved that a brand, when continually reimagined, becomes its own form of copyright.

 

The Public Domain Era of Hollywood

The modern entertainment industry is entering a copyright reckoning, as nearly a century of protected stories begins to slip into public hands. Hollywood executives who once fought for longer copyright terms, through what critics dubbed the “Mickey Mouse Protection Act” of 1998, now face a new reality: there will be no more extensions. The internet changed the politics of ownership. Platforms like YouTube and Google have built empires by monetizing shared culture, while voters increasingly see open access as a public good. For brands, that means protection is no longer legislative. It’s architectural. The future belongs to those who evolve their assets faster than they expire.

 

Case Studies

Disney: Turning Expiration into Evolution

Disney’s strength lies in its ability to treat every iteration of Mickey Mouse as both creative renewal and legal reset. From the hand-drawn 1920s version to modern CGI, each Mickey is visually distinct, culturally current, and legally defensible. The company also drew on an earlier precedent. In 1912, Edgar Rice Burroughs pioneered what IP lawyers call “double-wrapping,” protecting creative works under both copyright and trademark, when he locked down both the story and name of Tarzan of the Apes. Though Tarzan is now out of copyright, the name and likeness remain licensed trademarks, discouraging unauthorized use. Disney perfected the model: a character as both narrative property and logo. This isn’t just nostalgia, it’s architecture. By continuously updating its assets, Disney reinforces ownership and extends equity across new mediums. The studio’s ecosystem including film, TV, parks, streaming, and merchandise is a Branded House in perpetual motion. When creativity meets compliance, evolution becomes a form of governance.

 

McDonald’s: Embracing the Parody, Owning the Narrative

When McDonald’s flipped its golden arches upside down in 2024, it wasn’t just a clever stunt. The “WcDonald’s” campaign paid homage to decades of anime and manga that spoofed the brand as “WcDonalds” or “WacDonalds” to dodge trademark law. Instead of fighting the parody, McDonald’s joined it. Partnering with Japanese manga artist Acky Bright and the legendary Studio Pierrot (Naruto), the company launched limited-edition packaging, anime shorts, and digital manga under the WcDonald’s name. The move was more than cultural, it was strategic. By officially sanctioning its own bootleg, McDonald’s strengthened its trademark distinctiveness, turned subculture into canon, and showed that brand protection doesn’t have to mean rigidity. It’s a reminder that participation is the new protection. In the era of remix, the smartest brands don’t defend the line, they redraw it.

 

Nike: Iteration as a Legal Strategy

Nike’s swoosh is one of the most valuable marks in modern history, and one of the most frequently reinterpreted. Every collaboration, from Off-White to Travis Scott, and every new platform, from .SWOOSH digital goods to AI-designed apparel, serves a dual purpose: cultural relevance and legal renewal. Each variant is a fresh trademark registration and a fresh moment of distinctiveness in the marketplace. Nike’s genius isn’t just “Just Do It.” It’s “Just Evolve It.” By continuously redesigning product lines, slogans, and digital experiences, Nike ensures that no single iteration grows stale, or expires. In a world where duplication is easy, iteration is ownership.

 

Burberry: Heritage as a Renewable Resource

Burberry’s brand has survived for nearly two centuries not by standing still, but by cycling through reinvention. When the mark was reintroduced a bespoke serif wordmark in 2023, it wasn’t a nostalgic gesture, it was a renewal of trademarkable identity. Each new typeface, pattern, and mark created a new layer of legal protection and cultural expression. Burberry’s evolution shows that heritage isn’t history, it’s a renewable asset. When brands document and reinterpret their visual and verbal DNA, they create a lineage of ownable design that can be modernized without losing authenticity.

 

Supreme: Enforcement as Expression

Few brands blur the line between culture and compliance like Supreme. The streetwear giant’s red box logo, inspired by Barbara Kruger’s conceptual art, has become a global shorthand for scarcity and status. When counterfeiters and copycat brands like “Supreme Italia” flooded Europe, the company didn’t simply litigate, it made enforcement part of its narrative. Supreme’s strict control of distribution, trademark defense, and limited-run drops aren’t just operations; they’re performance art about exclusivity. Supreme’s model proves that policing a brand can also promote it. In the marketplace of meaning, defense is a form of design.

 

The Dark Side of the Public Domain

The same expiration that inspires innovation can also unleash absurdity. When Winnie-the-Pooh entered the public domain in 2022, the first adaptations weren’t children’s stories but horror films. Winnie-the-Pooh: Blood and Honey reimagined the bear as a feral killer stalking the Hundred Acre Wood. Another campaign cast him as “Winnie-the-Screwed” in a phone ad complaining about overpriced bills. Public domain doesn’t just liberate culture, it fractures it. For every thoughtful reinterpretation, there’s a dark wave remix. Yet even this chaos proves the point: when copyright ends, creativity begins, whether or not the original creator approves.

 

The Brand System as Legal Framework

Strong brands are built on structure, not spontaneity. The most resilient follow a few principles:

  • Belief System (Mission, Vision, Values): Purpose defines why a brand evolves, not just what it sells
  • Identity (Presence & Personality): Every expression (logo, color, sound, motion) should be memorable, particular, and scalable
  • Architecture (Structure & Governance): Choose models that fit your portfolio strategy
    • Branded House: Unified equity, efficient defense
    • House of Brands: Isolated risk, diverse markets
    • Hybrid: Flexibility through endorsement
  • Culture (People & Behavior): Brands live through those who activate them. Governance isn’t bureaucracy, it’s brand integrity
  • Performance (Measurement & Management): Equity, recall, preference, share, loyalty, and legal wins are all brand KPIs

A brand isn’t an artifact. It’s an ecosystem, adaptive and interdependent, both shaped by and shaping the culture that surrounds it.

 

Rules for the Remix Era

  • Refresh deliberately: Every 3–5 years, audit identity and refile marks to sustain distinctiveness
  • Version your icons: Treat symbols like product lines, iterative, traceable, and renewable
  • Invite reinterpretation: Channel fan culture through sanctioned collaborations instead of cease-and-desists
  • Design redundant protection: Copyright and trademark together to create resilience across every brand expression, visual, motion, and sonic.
  • Measure and enforce: Governance is creative work; protecting your brand is part of expressing it

 

The Bottom Line for Branding

Legal structures aren’t the enemy of creativity, they’re its rhythm section. Disney turned expiring IP into an evolving identity. McDonald’s transformed parody into participation. Nike, Burberry, and Supreme show how evolution, heritage, and enforcement can coexist as brand behaviors. And as copyrights continue to lapse, from Steamboat Willie to Batman, a new generation of creators will reinterpret those icons, sometimes with reverence, sometimes with chaos. The internet has made extension impossible, but reinvention inevitable.

The lesson? To protect your past, keep designing your future. Because in the age of remix culture, the most enduring brands are not the most famous, they’re the most adaptive.


Designing for Connection: The Experience Ecosystem & Service Ecology

Design is the thoughtful expression of conceptual ideas in the form of visual elements to define purpose and achieve desired outcomes improving the human experience. Simply, design defines the relationships between people, products, and the world around them. However, as our lives traverse analog and digital experiences, the work of design has become less about creating and more about transforming systems. Service design lives in that space between creativity and complexity, where every interaction drives the cadence of experiences. To understand how a service truly works, designers don’t just map journeys, they map ecologies.

Mapping the Invisible

A service ecology map doesn’t just chart what a customer sees. It reveals the network behind the scenes, the people, partners, processes, and technologies that bring a service to life. It exists to:

  • Map the actors and stakeholders who play a role in the service
  • Understand the relationships, the creative friction that evolves the experience
  • Imagine new service concepts by reorganizing how these actors connect and create value together

Used in workshops, mapping a service ecology can feel like zooming out on a city where you see how all the streets within the macro and micro systems intersect. It widens the creative field, transforming creative problem-solving into the craft of origination in constant flow and flux.

 

Ecology vs. Ecosystem

The language of systems matters. Ecosystem describes the structure, the framework of users, channels, and flows within experiences. Ecology describes the energy inside it, the relationships that make it thrive or collapse. Design lives in the tension between the two: form and function, structure and movement, system and story.

Every ecosystem is built on interactions that occur across channels and touchpoints. Channels are the mediums through which people engage, a website, a retail environment, a mobile app, a call center. Touchpoints are the moments that happen within those channels, the tap, the conversation, the purchase, the pause. They are where emotion and meaning take shape. Understanding both is essential: channels create access; touchpoints create connection. Friction can inhibit or empower the user within the ecosystem and the ecology overall.

 

Where the Wild Things Are

Two truths define every service:

  • People’s needs are always changing
  • People experience services across multiple channels and touchpoints

When viewed from a business perspective, these truths become tools for modeling value. By mapping costs and revenues across both the customer journey and the ecosystem of interactions, organizations can see where value is created, and where it disintegrates. In application, this means tracking, monitoring, and analyzing:

  • Across the journey: Looking at costs and returns stage by stage reveals where customers find meaning and where friction exists
  • Across touchpoints: Evaluating each interaction shows which channels drive connection, and which exhaust resources

This is the shift from user experience to service experience, where value isn’t just designed, it’s distributed.

The Living Blueprint

Within the ecosystem and ecology, the service design blueprint connects everything. The frontstage and backstage. The human and the operational. It’s not a static diagram, but a living map of how a service adapts to change. Service design, at its best, is an act of choreography and orchestration. It is how we synchronize business and behavior, intention and interaction. It’s not just about designing systems, it’s about designing relationships that can evolve and revolutionize the world around them. Because in the end, every service is an ecosystem of connection and ecology of energy. And when we understand the system, we don’t just make it work better, we make it feel alive.


Empowering Financial Advisors in a Changing Wealth Management Landscape

Empowering Financial Advisors in a Changing Wealth Management Landscape

As the wealth management industry evolves, financial firms are adapting compensation models, launching new digital platforms, and embracing artificial intelligence to strengthen advisor performance and client relationships. From Morgan Stanley’s updated compensation framework to BlackRock’s AI-powered commentary tool, these developments reflect a shared goal: empowering advisors with the insights, tools, and technology needed to grow their book of business and deliver greater value to clients.

Changing the Mix for Advisors

Recent updates to Morgan Stanley’s advisor compensation structure, including a reduced deferral model and a higher threshold for smaller households, signal a shift toward liquidity and long-term competitiveness. While these changes provide advisors with more flexibility, they also emphasize the growing importance of attracting high-net-worth clients, driving deposit growth, and aligning compensation with performance.

As firms compete for top talent, marketing and client-enablement teams play a critical role in supporting advisor success. By equipping advisors with integrated marketing strategies, digital tools, and data-driven insights, firms can help them better engage clients, expand relationships, and strengthen both assets and liabilities under management.

The Rise of the Alternatives Investing Center

Complementing these compensation changes, the launch of Morgan Stanley’s Alternatives Investing Center highlights a broader movement toward education-based advisor empowerment. The platform helps wealth planners access new insights, explore innovative financial solutions, and enhance diversification strategies for clients.

Content marketing and advisor enablement initiatives built around this type of platform can significantly enhance both engagement and conversion. Tailored communications that translate complex financial products into accessible insights can help advisors deepen trust with clients while reinforcing the firm’s brand as a leader in sophisticated investment solutions.

Navigating Emerging Asset Classes

As digital assets gain traction, advisors face increasing client demand for guidance on cryptocurrency and other alternative investments. Morgan Stanley’s report, “Asset Allocation Considerations for Cryptocurrencies,” underscores the need for balanced, well-researched perspectives on this evolving asset class.

Empowering advisors to communicate effectively about new opportunities and their inherent risks is essential for maintaining client trust. Educational content, training programs, and marketing support can help advisors translate market volatility into informed strategy, strengthening their advisory relationships while protecting long-term client confidence.

The Future: AI-Driven Advisor Enablement

Innovation continues to reshape how advisors deliver insights. BlackRock’s recent debut of an AI-powered tool, with Morgan Stanley as its first client, marks a significant milestone. By automating personalized market commentary, this technology enables advisors to provide timely, relevant communication at scale enhancing both efficiency and client experience.

The intersection of AI, marketing intelligence, and advisory practice represents the next frontier for the industry. Firms that integrate these innovations strategically combining human expertise with data-driven insights will be best positioned to elevate advisor performance, strengthen client relationships, and differentiate their brand in a crowded marketplace.

The New Era of Advisor Empowerment

The wealth management landscape is rapidly transforming. From redesigned compensation structures and educational platforms to digital assets and AI-driven tools, the common thread is clear: advisors are being equipped to do more for their clients, more efficiently, and with greater personalization. Firms that invest in this ecosystem blending marketing, technology, and strategic enablement will define the next era of client service and growth in wealth management.


See You in the Neighborhood: How Square is Turning Community, Data, and Innovation into a Movement

Square has always been more than a payments company. It’s a brand that lives at the intersection of community, creativity, and commerce empowering small businesses to grow and thrive. This week, with Square’s 16th anniversary and the launch of its new brand platform, “See You in the Neighborhood,” that message couldn’t have been clearer.

The campaign reminded me why I’ve always admired Square’s approach: it’s human. It’s local. It’s honest. And it’s grounded in the idea that real economic change starts right where people live and work in neighborhoods.

Community and Culture: A Brand with Heart

The new “See You in the Neighborhood” campaign captures something essential about Square, its home at the crossroads (or four corners) of community, culture, authenticity, and economic empowerment. The storytelling felt personal and genuine, not polished to perfection but alive with real voices and emotions.

As someone who grew up skateboarding, I loved seeing the Neighbors Skate Shop spot. There’s nothing that represents community quite like a group of skaters building something together. The Ggiata Deli video hit a different note the owner’s voiceover carried a sense of authenticity and pride that you can’t fake. And then, of course, Killer Mike, who delivered a masterclass in how small businesses drive big change. His words reminded the viewer that economic empowerment isn’t just a brand value; it’s a mission.

All the details, the handwritten signs, the real business owners, the texture of their stories, made the campaign feel unmistakably Square.

 

Turning Data into Actionable Insights

Of course, great storytelling is only part of the equation. Square’s superpower is its ability to connect those stories to data and to reveal what’s really happening in the economy at ground level.

I recently came across an article about Square’s restaurant data that explored how tipping behaviors are changing in today’s volatile economy. The insights went far beyond payment trends. They painted a portrait of resilience how restaurants and their teams are adapting, surviving, and even thriving through constant change.

That’s the kind of data storytelling that fuels strong strategy. It’s not just about reporting numbers; it’s about revealing human behavior and helping business owners make smarter, more confident decisions. Square’s insights serve as a cultural zeitgeist.

 

Innovation and the Next Frontier: Cryptocurrency

Recently, my attention shifted from consumer data to digital currency. Years ago, Jack Dorsey encouraged businesses using Square POS to experiment with Bitcoin payments, a move that felt visionary then, and even more relevant now.

Earlier this year, Morgan Stanley published a report titled “Asset Allocation Considerations for Cryptocurrencies,” encouraging investors to incorporate crypto as part of a diversified portfolio. That kind of validation from major financial institutions could reignite consumer interest, and when it does, businesses will need partners they trust to navigate the shift.

That’s where Square’s early leadership in crypto shines. The brand’s long-standing belief in financial empowerment, transparency, and innovation gives it the credibility to help merchants take that next step. Integrating crypto education and adoption into its neighborhood-driven storytelling could bridge the cultural gap, turning curiosity into confidence, and confidence into commerce.

 

Looking Ahead

Square’s story is about connection, between people, businesses, and ideas. From “See You in the Neighborhood” to the data insights that reveal what’s happening behind the counter, to forward-looking initiatives like Bitcoin payments, everything points to the same truth: Square is building an ecosystem where community and commerce grow together.

That’s what makes this brand special. It’s not just technology. It’s not just marketing. It’s a movement, one that starts with a conversation at the counter and reverberates through the neighborhood.


The New Era of Shipping and Marketing

Resilience and Recovery

As supply chains recover from years of disruption and investors brace for economic headwinds, the transportation sector is being reshaped by creativity, strategy, and resilience. Many organizations remain in triage mode, but forward-thinking leaders are implementing reframing models to uncover new solutions. The opportunity now lies not in returning to what once was, but in designing smarter, more responsible approaches to marketing and operations that help organizations thrive amid uncertainty.

Navigating Economic Uncertainty

The path to stability begins with understanding the possible shapes of recovery. Economists identify several models, from V-shaped rebounds to L-shaped stagnations, each offering a different vision for how the economy might evolve. The most realistic scenario may be Y-shaped, reflecting a divided recovery where some sectors rebound quickly while others lag behind. For transportation leaders, this means preparing for uneven conditions and making deliberate decisions about how to allocate time, resources, and budget. There is no such thing as “business as usual.” Resiliency now requires agility, innovation, and foresight.

The Global Shipping Outlook

After years of volatility caused by the pandemic, geopolitical tensions, and inflationary pressures, global shipping began to stabilize in 2023. Capacity became more predictable, but volume and reliability remain challenges. As infrastructure investments grow, overcapacity and pricing pressures will define the near-term future. Even with uncertainty, the industry is entering a new era of transformation, driven by decarbonization, digitalization, and an increased demand for transparency across the supply chain.

Seven Shipping Trends You Need to Know

1. Market Normalization with Caution

Shipping has returned to predictable capacity levels, but volumes remain low. The industry is likely to face continued volatility and potential pricing wars as carriers compete for stability.

2. Globalization with Interference

Global trade continues to expand, but rising geopolitical tensions have slowed the pace. Companies are increasingly pursuing domestic manufacturing and distributed sourcing to mitigate risk.

3. Decarbonization and the Cost of Sustainability

The journey to net-zero emissions is underway, requiring significant investment in green technology, infrastructure, and alternative fuels. These costs will inevitably be passed through the supply chain to the end customer, emphasizing the need for transparent communication about corporate responsibility.

4. Transloading on the Rise

Transloading, shifting freight from international to domestic intermodal transport, continues to gain momentum. This approach increases speed to market and agility, allowing shippers to respond rapidly to changing market conditions.

5. Transparency as the Antidote to Information Asymmetry

Information asymmetry remains one of the greatest barriers to efficiency. True progress will come from transparent, synchronized data systems that enhance visibility from source to customer, creating shared value across the supply chain.

6. Standardization for Stability and the Risk of Stagnation

Standardization streamlines operations and ensures consistency, but it can also constrain innovation. The challenge for the future is to balance operational efficiency with creative experimentation and technological evolution.

7. Investing for a Sustainable Future

Investment in infrastructure and equipment, from ports to chassis manufacturing, is accelerating. These efforts signal confidence in a more sustainable, resilient logistics ecosystem, built to withstand future disruptions.

Smart and Responsible Marketing

In times of uncertainty, marketing is not an expense, it’s an investment in relevance and resilience. Companies that remain visible and continue to communicate effectively through downturns recover faster and gain market share. Smart and responsible marketing begins with empathy and strategy: understanding evolving customer behaviors, reaffirming commitments, and designing communications that reflect authenticity and trust.

The Five Principles for a New Marketing Era

  • Refresh the Customer Mindset: Identify new motivations, pain points, and opportunities. Conduct interviews, surveys, and persona development to uncover actionable insights that inform both strategy and creative execution.
  • Reassure the Customer: Instill confidence through consistent communication, thought leadership, and customer-first initiatives. Use content marketing, sales acceleration programs, and community engagement to build trust and loyalty.
  • Renew the Vision and Strategy: Revisit brand principles, reposition offerings, and define a compelling purpose that reflects current realities. Measure brand health regularly to ensure alignment with customer needs.
  • Reassess the Work: Continuously calibrate creative and marketing efforts. Measure effectiveness, experiment with A/B testing, and apply insights from analytics to optimize outcomes.
  • Recover and Reimagine: Adopt a customer-centric mindset. Innovate new products and experiences, embrace digital-first marketing, and collaborate internally to improve efficiency and employee engagement.

Integrating Sales and Marketing

The line between marketing and sales has blurred. B2B customers increasingly self-educate, expecting seamless digital experiences that mirror consumer brands. A unified approach, where marketing attracts and nurtures leads while sales converts and deepens relationships, is critical. Customer journey mapping helps visualize this integration, ensuring every touchpoint, from awareness to advocacy, is purposeful, relevant, and measurable.

Transformation is Now

Supply chain transformation is not a distant goal — it’s happening now. Leaders in shipping and logistics have an opportunity to redefine their industries by combining operational excellence with strategic creativity. Through resilience, innovation, and empathy, the sector can navigate uncertainty, embrace sustainability, and enter a new era of connection between commerce, community, and the planet.


Creative Friction

Creative Friction: How to Engineer Ideas

Creative friction is the purposeful collision of different perspectives—disciplines, departments, industries, functions, demographics, and psychographics—to generate new ways of thinking. Done well, it turns tension into forward motion. The goal isn’t to “win” an argument; it’s to make the work, and the outcomes, unmistakably better.

What Creative Friction Is (and Isn’t)

A design choice, not an accident. Invite strategy to rub shoulders with design, media with technology, transportation with education—on the same brief, at the same time.

  • Divergent by design: Friction widens the map from a single “right path” to many promising routes that can be tested, combined, or discarded.
  • Different from UX friction: In user experience, we remove friction for customers. In creative development, we add the right friction for teams to unlock insight. Knowing when each applies is a leadership skill.

Why It Works

  • It broadens inputs: Cross-functional conversations surface references, research, and lived experience a single discipline would never bring alone.
  • It balances strengths: Some people think in words, others in systems, others in visuals or sound. Friction translates across modes and makes ideas travel farther.
  • It builds inclusion: Diverse voices are not just present—they’re weighed and integrated. Brand decisions become more representative and more resilient.
  • It speeds learning: When research and making happen in parallel (formal workshops + informal hallway checks), cycles compress and quality rises.

Where to Put the Friction

Upfront research
Blend formal (interviews, co-creation, data pulls) with informal (quick pulses, observation). Use participatory methods when you need voices in the room; use observational methods when you need unfiltered behavior.

Inspiration & exploration
Host recurring share-outs where people bring one reference that reframes the brief. Debate why it works (or doesn’t) for the brand and audience.

Internal reviews
Put account, design, and a “5,000-foot” brand lens in the same critique. Retire the “my idea vs. your idea” dynamic. The only winner is the brand-right solution.

In-market iteration
Treat assets as evolving. Digital and real-time environments let you tune creative based on performance and feedback—without waiting for the next campaign cycle.

How to Lead It (Without Chaos)

Set psychological safety. Make it explicit: sparks welcome, perfection not required. Early shares beat finished shares.

Design multiple avenues to contribute. Some thrive in big rooms; others prefer async notes or small huddles. Offer both.

Operationalize curiosity. Schedule a monthly “cool hunt” and debate references, tech, and trends. The point isn’t consensus—it’s clarity.

Separate pride from ego. Pride fuels craft; fragile ego blocks progress. Aim critique at the work, not the person.

Map friction vs. flow. Decide where you want friction (exploration, critique) and where you want flow (handoffs, production, customer experience).

Outcomes You Can Expect

More (and better) ideas through deliberate divergent thinking.

Faster velocity as research and design co-evolve.

Stronger decisions that align with strategy, customer insight, and brand truth.

Business impact via new products, services, and experiences shaped by many—not just a few.

A 30-Day Starter Plan

Run one cross-functional review per key project. Invite at least one outsider to the core team. Prompt: “What does this mean for the brand?”

Adopt the “Spark Rule.” Share early. Ask “What if…?” three times before judging.

Launch a 45-minute monthly cool hunt. Each person brings one reference; discuss why it matters.

Create a friction map. For your current workflow, mark “Friction” (explore) vs. “Flow” (execute). Adjust meetings and milestones accordingly.

Two Useful Analogies

Jazz & jam bands: Improvisation works when each instrument listens, responds, and leaves space. That’s creative friction in motion.

Curation: Great curators push storytellers beyond their “one way” version so it resonates now, not just in the past. Friction keeps stories—and brands—alive.

Closing Thought

Creative friction isn’t conflict—it’s choreography. Invite difference on purpose. Give it structure. Protect the room. Then let the best idea win because it is brand-right, customer-true, and future-ready.

 

 

Fricition is not resistance. it is the catalyst for creativyty. When multidisciplinary teams collaborate, the impossible is made possible.

Creative friciong is the catalyst for divergent thinking. and going beyond the unknown


Musical Chairs

Immerse yourself in the history of design on a journey through an ocean of chairs. As a company dedicated to improving the quality of spaces through the power of design, Vitra develops and produces furniture. However, the family-owned company also curates and exhibits significant architectural and industrial design at its campus and museum in Switzerland to educate and celebrate the power of design.

One such presentation is Chair Times, a documentary on the multidimensional world of chairs, featuring 125 objects from 1800 until today. Enjoy the film for free before it vanishes and disappears into the archives.



The Printing is in the Details

With a beautiful testament to Dior’s heritage and design, Shawn Stussy introduced a psychedelic-surf and beachy, and Fair Isle-style marble print for the Fall 2020 men’s show. What’s even more captivating was the thought behind the process of printing the clothing.

The designs translated to the pieces in a unique, one-of-a-kind way. They were etched — by the only House still using this technique — into wax print fabrics, “a highly complex, noble cloth,” and then, printed on the pieces in a way that can only be described as “a dialogue between Dior’s heritage and their designs.” The result is transcendent reflection of Stussy’s thoughtful design and intricate process, creating a genuinely stunning pattern with a true human touch.


Capturing Honest Emotion

The thinkers at shark&minnow were inspired by ‘Alina’— a collection of portraits that captures the resulting facial expressions of twelve women while listening to the same piece of music, ‘Für Alina.’ The work is created by Bettina von Zwehl, a German photographer who lives and works in London.

Driven by von Zwehl’s interest in psychologists’ research surrounding the ways people’s emotions are influenced while listening to music, each woman — dressed in identical white vests — listened to the same piece of music, while seated in a dark room. von Zwehl captured their images sporadically during the second half of the song, using flash photography so the background appeared white. The results were absolutely stunning and pure as the sitters’ images were captured unexpectedly, displaying an increased vulnerability and uninhibited emotional response.

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