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The 2026 Business Playbook: Leverage AI Before Your Competitors Do | Epidemic Sound CEO

Oscar Hoglund built Epidemic Sound into a $1.4B company behind 3 billion daily views.

Marina MogilkohostOscar Höglundguest
Jan 9, 202638mWatch on YouTube

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CHAPTERS

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Chapter summaries

  1. Why Epidemic Sound matters: emotion, virality, and 3B daily views

    Marina introduces Oscar Höglund and frames Epidemic Sound’s scale and influence on creator ecosystems. Oscar sets the foundation: virality is less about hacks and more about creating meaningful human connection through emotion.

    • •Epidemic Sound’s reach across platforms and massive daily video volume
    • •Virality as a byproduct of meaningful human connection
    • •Epidemic’s role: facilitating creativity and sparking interest
    • •Why audio choices can amplify (or dilute) storytelling
  2. What makes content go viral (and how music shapes emotion)

    Oscar explains how creators should think about music as an emotional tool, not just a popular song choice. He shares a trend observed post-COVID that reveals how audience mood shifts the kind of music that performs.

    • •Music’s job is to create emotion and guide interpretation
    • •Using famous songs can reduce control because audiences carry personal associations
    • •Trend insight: “comfort” music and classical spiked post-COVID
    • •Creators should pick music intentionally to match the feeling they want
  3. The “CROSS” strategy: cognitive dissonance that grabs attention

    Oscar introduces the ‘crosses’ concept—unexpected pairings that create cognitive dissonance and instantly attract curiosity. He connects this tabloid insight to how audio-visual mismatch (or perfect symbiosis) can drive engagement.

    • •Humans are drawn to surprising contrasts (cognitive dissonance)
    • •A story can become compelling when expectations are violated
    • •Crosses apply beyond tabloids: in podcasts, business, and content
    • •Music can be the ‘cross’—telling a different story than the visuals
  4. A real CROSS case study: casting a ski hero to lead commercial TV

    Oscar recounts how his co-founder used the CROSS idea to transform a Swedish TV broadcaster’s fortunes. The unlikely choice of a beloved cross-country skier as host became the key that made the show iconic.

    • •Engineering a ‘most commercial’ TV format still needed a standout hook
    • •Choosing the polar-opposite host created instant intrigue
    • •Internal resistance turned into a high-stakes bet (“or I quit”)
    • •Outcome: massive ratings success and long-running cultural impact
  5. The AI content revolution at Epidemic: democratizing “music supervisor” talent

    Marina asks about tooling that can analyze video and recommend music progression. Oscar outlines Epidemic’s goal: give solo creators the same guidance that used to require expensive teams, using data and AI as an unlock.

    • •Vision: level the playing field for storytellers of all sizes
    • •AI as a facilitator (not a replacement) for human connection
    • •Using platform-scale performance data to personalize recommendations
    • •Potential: guidance on when music should start/stop and how to master audio
  6. Creator workflow breakthroughs: AI Voice and resizing tracks to your edit

    Oscar describes AI features already shipping, especially tools that adapt music length to match a creator’s finished edit. This flips the traditional workflow where editors had to re-cut their story to fit a fixed track.

    • •Tools already released: AI Voice and track length adaptation
    • •Traditional pain: re-editing the video to fit the music
    • •New workflow: keep the edit; adapt the track to the story’s timing
    • •Balancing artist intent with better fit for creator narratives
  7. 2026-style content framework: define your sound, learn fast, iterate with data

    Oscar gives tactical advice for creators and small businesses: establish your brand’s sound and values, then use tools and data to improve. He emphasizes becoming a “ferocious learner” by studying admired creators and reverse-engineering what works.

    • •Start with brand identity: values, stories, and “what do I sound like?”
    • •Use platform tools to analyze your channel and get recommendations
    • •Personalization improves with interaction and feedback loops
    • •Study role models and patterns to accelerate learning
  8. Must-have creator tool (sponsor): AI assistant for comments and DMs

    Marina shares a sponsored segment about Pop.Store and its AI assistant, ECHO, positioned as a workflow tool to help creators manage audience engagement efficiently. The pitch focuses on saving time, preventing burnout, and increasing engagement signals.

    • •Pop.Store as an all-in-one creator HQ
    • •ECHO scans comments/DMs and flags important messages
    • •Goal: faster replies, reduced burnout, higher engagement
    • •Algorithmic upside: engagement can boost reach
  9. From feature → product → platform: how Epidemic Sound scaled

    Oscar explains the evolution pattern: start with a simple feature, grow into a product, and eventually become a platform. He maps Epidemic’s journey from a “nice-to-have” licensing solution into an integrated soundtracking product, then a platform moment inspired by AWS.

    • •Early Epidemic as a ‘feature’ (one-trick pony / vitamin)
    • •Key legal innovation: ownership model by paying artists upfront for full rights
    • •Becoming a ‘product’: software + deep creator workflow integration
    • •Platform moment: opening internal infrastructure/data as ‘Antidote’
  10. Value chain leverage: how 4 broadcaster meetings unlocked an entire market

    Oscar breaks down value chains and shows how identifying decision-makers creates leverage. Instead of chasing thousands of freelancers, Epidemic targeted the four broadcasters who controlled budgets—triggering a cascade of adoption through production companies and editors.

    • •Map the ecosystem: editors → production companies → broadcasters
    • •Leverage comes from small input producing outsized output
    • •Why starting “upstream” in the value chain can accelerate distribution
    • •Customer empathy + vision can beat small catalog size early on
  11. Hiring A-players: “hire smarter than me” (and look for ‘cross’ people)

    Marina asks about Oscar’s high-caliber team, and he shares a core hiring belief: if he’s the smartest in the room, they’re doomed. He reinforces the idea of seeking ‘crosses’—unexpected, high-signal combinations in people and roles.

    • •Principle: always hire people smarter than yourself
    • •Leadership intent: build a room that tells you what to do (better)
    • •Re-using the ‘cross’ concept in hiring: surprising excellence combos
    • •Team quality as a compounding advantage
  12. Why hustle fails (without nuance): talent, grit, and being a net giver

    Oscar challenges simplistic hustle culture and offers a more nuanced success model. He outlines a four-part view: talent (baseline), relentless grit, navigating gatekeepers by becoming someone others want to help, and building reputation through generosity.

    • •Talent is a ticket to play—but not the differentiator
    • •Grit/relentlessness and sacrifice are often required early
    • •Gatekeepers and tastemakers shape outcomes more than people admit
    • •Strategy: be a net provider—“give more than you take”
  13. Network strategy in practice + staying sane: discipline, guardrails, and family

    Oscar shares concrete ways to build goodwill (high-quality introductions, leading with ‘how can I help?’) and then pivots to his personal operating system for sanity. He describes strict boundaries, the breaking point that nearly made him quit, and how discipline became the solution.

    • •Practical networking: thoughtful intros that create compounding reciprocity
    • •Mindset: lead with service to build long-term allies
    • •Discipline system: no meetings before 9am; unreachable 6–9pm; no weekends
    • •Breaking point: travel overload and family ultimatum prompted major changes
  14. Top AI tools + the “three WHYs” framework for better AI-first businesses

    Oscar lists the AI tools he uses most and highlights an opportunity around ‘vibe coding’ needing audio. He closes with a consulting-derived framework: you only have a real analysis after asking ‘why’ three times—critical in an era where intelligence is abundant but rigor is rare.

    • •Daily AI stack: ChatGPT and Google/Gemini workflows
    • •Vibe coding opportunity: bringing music into currently ‘muted’ builds
    • •The ‘three WHYs’ method to reach root causes (not surface answers)
    • •Use AI to accelerate learning after you clarify the true problem

Publisher timestamps

  1. 0:00Intro
  2. 1:02What makes content viral
  3. 3:58The "CROSS" strategy explained
  4. 7:47The AI сontent revolution
  5. 11:09Content framework 2026
  6. 12:20Must-Have creator tool
  7. 13:50From feature to platform
  8. 20:18Value chain leverage
  9. 23:03Hiring A-Players secret
  10. 23:59Why hustle fails
  11. 27:51Give more than you take
  12. 29:30Oscar's network strategy
  13. 31:10Staying sane as a CEO
  14. 33:04Oscar's breaking point
  15. 34:33Top AI tools Oscar uses
  16. 35:30The three WHY framework

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