Disruptive Innovation Strategy

"We're disrupting the industry!” The CTO checked his watch. $4M deal dead in 5 words. The CTO's eyes glazed over. Fifth time this week. My client froze. His billion-dollar product roadmap reduced to a startup cliché. I've sat through 1,000+ enterprise sales meetings. Here's what nobody tells founders about selling to big companies: Your "innovation" is their "risk." Your "disruption" is their "danger." Your "revolution" is their "rebellion." Truth is, there are only 3 types of enterprise buyers: The Veterans (80%): - Want stability above all - Need proof, not promises - Buy from safety signals The Climbers (15%): - Chase calculated wins - Need evidence, not excitement - Buy from success stories The Visionaries (5%): - Build the future quietly - Need substance, not show - Buy from deep insight Last week, a founder pitched "groundbreaking AI" to a Fortune 500 buyer. The buyer's real thought? "Who wants to be the first penguin in the water?" After $100M+ in enterprise deals, here's the secret: Don't sell transformation. Sell risk reduction. Don't pitch revolution. Pitch results. Don't promise the future. Prove the present. Because in enterprise sales, the most dangerous word isn't "no." It's "maybe." And "maybe" is what you get when you speak Silicon Valley to Wall Street. Want to close enterprise deals? Learn to translate innovation into insurance. That's worth more than any pitch deck.

Something I often say is, “money can’t save bad ideas.” As marketers, we often tend to resort to big media plans to boost our reach for brand campaigns, but at Duolingo we've learned that this approach is usually counterproductive. Over the last three years, we've designed our marketing organization to put creativity first - and the results speak for themselves: millions of new user sign-ups, 350M likes on TikTok, viral moments that break the internet, partnerships like our recent Squid Game activation that drove 100M+ organic impressions. I wanted to share a few key lessons we've learned as we've developed this creativity-first model. Of course, nothing is one-size-fits-all, but my hope is that other marketers find this useful: - 1. Make Content That Moves People  Years ago, we started with polished TV ads and carefully crafted messages meant to appeal to everyone. The impressions were there, but they were empty - lots of eyeballs but no visible engagement or impact on key metrics. Real success only came when we started creating moments that people actually want to engage with, not just see. Today we're reinventing what marketing can be, one viral moment at a time. 2. Let Strategy Emerge Through Experimentation I didn't come in with some five-year master plan. Every major win we've had - from our viral TikToks to our Super Bowl stunt - started as a small experiment or ideas that got us excited. This approach requires humility: you have to be willing to admit you don't have all the answers and let the experimentation guide you. 3. Creativity > Budget You can throw money at marketing problems, or you can solve them creatively. When we didn't have the budget for a full Super Bowl ad, we made a memorable 5-second spot...of Duo farting out a miniature Duo. Being resourceful forces you to think differently about impact versus spend. Of course, we spend a big budget on acquisition campaigns but not on building the Duolingo brand. But we've learned that throwing money at mediocre ideas doesn't make them better. 4. Let Your Team Run Wild When people have true ownership over their work and agency to execute their ideas, magic happens. We've found that having clear ownership and minimal bureaucracy leads to better, faster work. I don’t need to see or approve all our social content. The team will raise it with me if there is a question. Give your team the freedom to do big things and get out of their way. - I'd love to hear from you: what unexpected approaches have worked for your team?

#AI disruption sent shockwaves through the $3.5 trillion private credit market this week, as investors in some of the largest private credit funds asked for their money back and were told no. Stay with me for two minutes to understand what happened - and how this might affect your 401(k): Private credit rarely makes headlines. The sector emerged after 2008, when banks pulled back from lending to mid-sized companies, and new funds filled that gap by raising capital and lending it to private businesses. The appeal was simple: higher returns than traditional bonds, but your capital is harder to withdraw. For the last five years, the steadiest revenue in these portfolios has come from software companies. If your company pays for Salesforce or Workday, you probably renew every year because you've built your operations around it, and switching is expensive. That recurring, hard-to-cancel revenue is ideal collateral, and software grew to 29% of these loan portfolios. AI is now eroding the collateral those loans were built on. Enterprise software stocks are down 25-30% from their highs as AI reduces the headcount that needs licenses and makes it possible for companies to build internal tools that replace off-the-shelf software. That is AI disruption showing up not as a headline about the future, but as a balance sheet problem today. Investors realized this and sought their money back, with mixed results reported widely: Cliffwater's $33 billion fund capped withdrawals at 7% after investors requested 14%. Blackstone, BlackRock, and Blue Owl all faced record requests this quarter, and several froze redemptions entirely. I lead a large global foundation and oversee billions in endowments as a board director on investment committees and I've also spent a decade studying how AI changes economic structures. In recent years, those worlds have converged. The question of what happens to software-backed lending when AI erodes the revenue underneath has been building. UBS estimates that 25-35% of these portfolios face elevated AI disruption risk. This quarter, the convergence became visible: redemption caps, loan markdowns, and fund managers telling investors no. Until last year, private credit was restricted to institutional investors and the wealthy. Then, Executive Order 14330 opened 401(k) plans to the asset class for the first time, meaning 90 million Americans can now enter a market that institutional investors are trying to exit. Retirement savings are increasingly tied to financial vehicles where capital moves faster than our ability to measure what AI is doing to the assets inside them. Everyone is debating how AI will reshape products and jobs. The debt markets are ahead of that conversation, repricing the entire premise of enterprise software. This might be the first clear signal of bigger disruptions to come. David Ramage Sophia Tsai Karen Gill John A. Barker The Patrick J. McGovern Foundation

Two years ago, I watched a brilliant health tech startup burn through $2M in 6 months. Their AI could predict patient readmissions with 94% accuracy. Incredible technology. Their GTM strategy? "Hospitals will obviously want this." Here is what really happened: Month 1️⃣: 23 demos with hospital CMOs who loved the concept Month 2️⃣: Procurement asked for ROI projections they couldn't provide Month 3️⃣: IT wanted integration specs that didn't exist Month 4️⃣: Finance needed justification for an "experimental" AI tool Month5️⃣: Clinical teams pushed back b/c workflows weren't designed with clinician input Month 6️⃣: Cash ran out during a "promising" pilot negotiation The lesson that changed everything for this client (that I ended up terminating) 🙃 : 1. Healthcare doesn't buy technology. It buys solutions to specific financial problems with proven implementation paths. 2. That startup could have survived if they'd started with: "We'll reduce your readmission costs by $400K annually, guaranteed, with 90-day implementation." 3. Instead of selling AI predictions, they needed to sell cost reduction with success metrics. Now when founders ask me about GTM strategy, I ask them this: "What specific dollar amount will you save your customer, and what happens if you don't deliver?" If you can't answer both parts confidently, you're not ready to sell. You ARE ready to refine your GTM strategy so when you do start selling, you win... #HealthTech #GTM #Entrepreneurship #HealthcareAI

Canva has become one of my essential business tools. I started out using the free version to create graphics for my LI posts (like this one). Eventually upgraded to a paid plan, and now there’s Canva Enterprise, which is great for teams. My main use case is collaborating on decks and presentations. I don’t even bother with other design tools anymore because Canva is so much easier. But Canva's only been around since 2013. So how do new products like Canva disrupt well-established incumbents? Typically through one of two approaches: 1. 𝐋𝐨𝐰 𝐄𝐧𝐝 𝐃𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐨𝐧 The disruptor initially focuses on the least profitable customer, who is happy with a good enough product in exchange for a lower price. Over time, the disruptor adds new features and moves upmarket. Incumbents often aren’t interested in maintaining share of less profitable customers, so they also move upmarket and focus on their highest value customers. Think about the evolution of smartphone cameras vs. traditional cameras. Early smartphones had limited capabilities (low resolution, weak zoom, etc), but they were convenient. Over time, smartphone cameras have improved, so much so that most consumers opt not to purchase a separate camera. 2. 𝐍𝐞𝐰 𝐌𝐚𝐫𝐤𝐞𝐭 𝐃𝐢𝐬𝐫𝐮𝐩𝐭𝐢𝐨𝐧 The other form of disruption occurs when a product caters to a new or emerging market segment that’s not being served by incumbents. The end result is net new customers entering the market. Classic examples include: 🚕 Ridesharing vs. taxis. Think of all the Uber/Lyft rides you take today that wouldn’t have happened a decade ago. Many users prefer the convenience, price, and safety of ride sharing apps to taxis or public transportation. 🛎️ Airbnb vs. hotels. Before homestay marketplaces like Airbnb, travelers could stay with friends/family or at a hotel. Now, instead of a commoditized product (i.e. hotel room), travelers have more choices for unique accommodations. What about Canva? Canva increased its market share vs. incumbents through low end disruption. Here are just a few examples of how Canva won me (and many other happy users) over: 🤝 Real-time collaboration: Building a presentation almost always requires input from multiple contributors. But trading versions over Slack or email is tedious, so collaborative features are essential. This is one of the primary advantages that cloud-based software like Canva initially had over locally installed incumbents, creating a disruptive effect that has been copied by competitors.   🔌 Integrations: Canva’s Enterprise offering makes it easy to connect with other mission critical business tools like Slack and Google Drive. 👩💻 Customer support: It’s nice to get help from a real person when you need it, rather than try to track down the answer in a forum or outdated knowledgebase. Disclaimer: This post is #sponsored by Canva, but I really am a passionate user. What are some disruptive products you’ve come to love?

Packaging gateway: Defy your product category. It should not only protect your product, pack designs should challenging expectations and reshape the way consumers experience cosmetics. The industry is now pushing boundaries, to build differentiation, trough performance and experience, are your ready to the challenge? >>BRAIN WORKS<< The human brain tends to patterns, and pays extra attention when those patterns are broken. This disruption, often explained through cognitive dissonance, is what gives disruptive packaging its holly punch. +85% purchase decisions at point of sale, with packaging as differentiator. +81% consumers agree packaging design can influence their gift selections. +67% consumers state that the materials used in packaging affect their choices Packaging studies confirm that visual surprises increase product interaction by up to 30%, leading to higher recall rates and purchase intent. When packaging defies norms, it transforms a routine shopping moment into a moment of discovery. >>SURPRISE sales driver<< When products defy conventional designs, they trigger curiosity and grab attention instantly. Catching a consumer’s eye is a constant challenge. Unique and unexpected packaging has emerged as a powerful way for brands to break through the noise. +Fuels impulse buying by delivering a fresh and playful experience. +Boosts social shareability, often going viral without heavy ad spending. +Builds a deeper emotional bond with consumers by offering an original, multi-sensory encounter. >>KEYS to defy Packaging<< Disruptive packaging isn’t a temporary trend; it marks a shift in how brands compete for attention. Looking ahead, the beauty world is set to explore even more innovative ideas, fin my top four strategies to get remembered. +Architectural and Art related designs, streaming value and culture. +Mimic nature with organic shapes, rooted in human ADN. +Designs that borrow elements from food, tech, and daily life. +Gamified packaging, just for fun and Joy of use and share it. Close it. Packaging is no longer just protection, it’s a gateway to redefining consumer expectations. Those who dare to challenge the ordinary shape the future of their category. Are you ready to design for surprise, emotion, and brand recall? Find my curated search of examples and get inspired for your next success. Featured Brands: Acute Anté Beauty Appppt Ghee Gidon Bing Iki Mayet Milk More Skinny Muzigae Mansion Pace Out Roly-Poly Te #beautybusiness #beautypackaging #beautyprofessionals #beautydesign

Wall Street’s latest AI disruption trade…based on the fear that AI can replace entire teams in wealth management for $100 a month Just months ago, AI was the engine behind record-breaking stock rallies. Now, it has become a trigger for panic. As real AI products hit the market (from automated tax strategy to insurance comparison and legal tools), investors are rapidly repricing entire industries. The new trade is simple: dump any stock that might be disrupted by AI. Last year’s narrative was optimism: AI would unlock massive productivity gains. Today’s narrative is anxiety: AI could dismantle business models faster than companies can adapt. Resulting in indiscriminate selling, even when real-world adoption remains early. History suggests caution. Every major tech wave, be it cloud, mobile, fintech or crypto, promised sweeping disruption. Each delivered transformation, but rarely at the pace or scale markets initially predicted. Incumbents adapted. Regulation slowed change. Customers behaved differently than expected. What makes this moment different is speed. AI tools are cheap, accessible, and shockingly capable. When a $100-per-month platform claims to replace entire teams, fear spreads quickly. Especially in a market priced for perfection. But AI disruption will rarely be binary. Most industries will be reconfigured, not replaced. The winners will redesign processes, rethink value creation, and integrate human judgment with machine intelligence. Based on reporting by Carmen Reinicke and Rebecca Torrence (Bloomberg) (+++Opinions are my own. Not investment advice. Do your own research.+++) 👋 Follow me for my daily investing nuggets, musings on markets, and hilarious investing memes. 💸

They fired 12,000 managers overnight. Revenue doubled from $20B to $40B. 1985, Zhang Ruimin takes a sledgehammer to 76 defective refrigerators in front of his workers. Each one worth three years of wages. The message was clear: mediocrity dies here. Twenty years later, he'd built Haier into a global giant. Disciplined hierarchy. Perfect execution. Everything a Harvard case study dreams of. 2012, he takes that same sledgehammer to his org chart. "The internet changes everything," Zhang told his board. "Bureaucracy moves in weeks. Markets move in milliseconds." They thought he'd lost it. Fire 12,000 middle managers? Replace them with... nothing? "Not nothing," Zhang corrected. "Markets." What happened next challenges everything we know about running a company. Zhang understood something his board didn't: the internet hadn't just changed commerce. It had inverted power itself. The old model was built on information scarcity. Information flowed up, decisions flowed down, middle managers were the circulatory system. The internet collapsed that structure. Information exploded everywhere. Markets moved in milliseconds. Zhang's solution? If markets beat managers at allocating resources, why not run the company as a market? The company broke into 4,000 micro-enterprises (MEs). Each one fully autonomous with its own P&L, zero reporting hierarchy, living or dying by results. A refrigerator team doesn't report to anybody. They report to customers. But here's the radical part: support functions became MEs too. HR, IT, logistics were all forced to compete. No more hiding in overhead. Traditional salaries create employees. Haier wanted entrepreneurs. The mechanism was unforgiving: no salaries from Haier, income comes from customers. Teams negotiate "Value Adjustment Mechanisms" (VAMs); hit targets and share unlimited profits, miss them and feel direct pain. NewCo Lessons: What Haier teaches us isn't about firing managers. It's about questioning core assumptions. LegacyCo asks: "How do we coordinate better?" NewCo asks: "Why coordinate at all?" LegacyCo protects: "That's how we've always done it." NewCo demands: "Prove you deserve to exist." Every company faces its sledgehammer moment. Not the dramatic kind where you smash refrigerators. The quiet kind where you realize your management structure is the defect. LegacyCo will make excuses. They'll pilot "agile teams" while preserving hierarchy. Study Haier while protecting everything Haier destroyed. NewCo sees it differently. When coordination technology costs nothing, coordinators become overhead. When AI handles complexity, management layers become friction. Zhang didn't eliminate 12,000 managers because he could. He eliminated them because he saw what was coming, a world where markets move faster than managers ever could. Choose wisely. The sledgehammer swings for everyone. (Full case study sent to newsletter subscribers)

Leveraged software companies running on leveraged infrastructure. When AI compresses software revenue, the stress doesn’t stop at equity. It cascades into debt. BDC assets hit $475 billion in Q1 2025. Software comprises 23% of Ares Capital, the largest BDC. Shares of Blue Owl, Ares, & KKR dropped 9%+ on Tuesday. UBS estimates 35% of BDC portfolios face AI disruption. BDCs (Business Development Companies) are publicly traded private credit funds. They became the primary lenders to software over the last decade as private equity sponsors bought software companies with debt. The sponsors’ thesis was simple. Software revenue is durable, so lenders will accept 4-6x EBITDA leverage. AI is already writing code, conducting legal research, & managing workflows cheaper than legacy SaaS. The recurring revenue backing those loans is the target. Anthropic’s autonomous legal agents announcement sent LegalZoom & Thomson Reuters down 12%, echoing ChatGPT’s impact on Chegg & Stack Overflow. AI can vaporize software revenue. The leverage extends beyond software into infrastructure. Oracle plans to raise $50b this year for cloud buildout, roughly half in debt. CoreWeave financed 87% of a $7.5b expansion with debt. Meta’s Hyperion data center in Louisiana is higher still, at 90%+ debt. Private credit is expected to pour $750b into AI infrastructure through 2030. That capital faces several pressures. Hyperscalers have extended GPU useful life to 6 years, but datacenter GPUs last 1-3 years in practice. A Google architect noted that thermal & electrical stress at 60-70% utilization limits physical lifespan. Oracle’s credit-default swaps have tripled since September, even as the company generates $15b in annual operating cash flow. AMD guided Q1 revenue to $9.8b. Despite 32% year-over-year growth, the stock dropped 9% as the guide missed analyst expectations by $300m. Small deviations from peak expectations trigger outsized repricing. One fund is showing distress. BlackRock TCP Capital Corp. announced a 19% writedown in its private debt fund last month. The $1.7 billion fund invests in middle-market companies across software, healthcare, & manufacturing. Six investments dropped an average of 81% in fair value. As the new phenomenon of debt in software & AI grows, any wobble in expectations will be amplified by borrowing.

Up to 60% of rebrands fail. The usual cause? Chasing a new look without a real plan. I’ve studied over 200+ rebrand case studies. The winners share four traits. The failures? They almost always prioritized aesthetics over strategy. 1. Strategy before beauty Three out of four consumers remember brands by their logo. That’s why most failed rebrands start there and end there. The successful ones invest months building a strategic foundation before touching design. 2. Voice that connects Brand voice isn’t just copy. It’s your personality across every channel. Nike doesn’t just sell shoes. Their voice is empowering, motivational, slightly rebellious, and it’s consistent everywhere. Harry’s and Dollar Shave Club both sell razors. Harry’s uses refined sophistication for premium buyers. Dollar Shave Club leans into irreverent humor for cost-conscious millennials. Same product category, opposite voices. Voice comes from knowing your audience, not guessing. 3. Visual identity with purpose Visuals work only after strategy and voice are clear. Tropicana learned this in 2009. They replaced recognizable packaging with a clean, minimal design. Customers didn’t recognize it. Sales fell 20% in six weeks. Royal Mail made the same mistake in 2001. They ditched 500 years of equity for a meaningless name: Consignia. The public mocked it. Within 15 months, they reverted, wasting millions. Visual identity should strengthen your strategy, not erase your history. 4. Live the change internally first If your team doesn’t believe in the rebrand, it will never take flight. Every employee must understand and live the new direction before the public sees it. McKinsey found that change programs with strong employee buy-in are 30% more likely to succeed. Internal alignment before external launch, always. Ignore this, and you won’t just waste money. You’ll destroy trust. LESSON: A rebrand isn’t about looking different. Kia proved it in 2021. They didn’t just tweak a logo. They redefined their purpose: “Movement that Inspires” and backed it with product innovation. Revenue jumped 18% to a record $60 billion. Kia invested in transformation, not cosmetics, and hit historic growth. In an example of what not to do, Gap launched a new logo on October 6, 2010. By October 12 - just 6 days later - they reversed it. Cost: $100 million down the drain. A new look only works if it’s built on a strong foundation. When you’re clear on why your brand exists and what it stands for, the visuals have power. They signal meaning people can feel. Get the meaning right, and the look will matter. Motto®