The rise of taste, human authenticity and judgment in an AI world | Adam Mosseri (Head of IG)

The rise of taste, human authenticity and judgment in an AI world | Adam Mosseri (Head of IG)

The Importance of Taste in Product Development

Understanding AI's Role

  • Adam Masseri emphasizes that taste is crucial in product development, especially as building becomes easier with AI. It's essential to discern what should be built rather than just focusing on the execution.
  • He notes that people often overestimate the Instagram algorithm's understanding of user preferences, suggesting a simpler model than many believe.

AI Content and User Preferences

  • Masseri believes the rise of AI-generated content will serve as a tailwind for Instagram, despite challenges posed by synthetic content. Users will likely seek creativity and authenticity.
  • He advocates for transparency regarding AI-generated content instead of filtering it out entirely.

Evolution of Product Teams at Instagram

Changes in Team Structure

  • Masseri discusses how traditional product teams at large companies have evolved from larger groups to smaller, more agile "pods" consisting of generalist engineers and product staff.
  • These pods allow for faster decision-making and less bureaucratic design processes due to their smaller size.

New Roles and Responsibilities

  • The concept of "product staff" emerges as a hybrid role combining skills from various disciplines like design, data science, and research to adapt to project needs.
  • This shift towards smaller teams enhances productivity by reducing coordination overhead while leveraging diverse skill sets within each pod.

The Future Landscape for Designers

Designer Anxiety Amidst Generalization

  • There is growing anxiety among designers about their roles as responsibilities blur between engineers, product staff, and designers themselves.
  • Despite this anxiety, Masseri remains optimistic about the future of design roles due to the unique taste that designers bring—an aspect he believes is hard to automate away.

Shifting Dynamics in Design Roles

  • He observes that successful designers may increasingly take on broader roles beyond traditional design functions into areas like product strategy or business insights.

Hiring Trends in a Changing Environment

Key Traits for Success

  • When hiring, Masseri looks for grit, quick learning ability, and self-awareness—traits he considers essential across all functions amid rapid industry changes.

Emphasis on Curiosity and Experimentation

  • Staying curious and willing to experiment are highlighted as critical traits for success in an evolving landscape where adaptability is key.

The Impact of AI on Job Functions

Job Function Transformation

  • As AI tools evolve, job functions are changing; engineering now involves more planning and reviewing rather than just coding. This shift affects who succeeds based on alignment with new demands.

Blurring Functional Lines

  • Masseri notes that while functional lines are blurring due to automation capabilities provided by AI tools, there will still be room for specialized roles shaped differently than before.

Managing Resources in an AI-driven World

Budgeting Challenges

  • Discussing token spend management at Meta reveals concerns over resource allocation amidst rising costs associated with using advanced models. Current practices involve no strict limits but anticipate future caps based on ROI assessments.

Balancing Leadership Styles for Team Success

The Role of Prescriptiveness in Leadership

  • Leaders must find a balance between being prescriptive and allowing autonomy; too much direction can stifle creativity, while too little can lead to inefficiency.
  • Autonomy is crucial when teams decide what to build, emphasizing the importance of a clear vision that articulates desired outcomes.

Vision vs. Strategy

  • Vision defines the desired state of a product, while strategy outlines an opinionated path to achieve that vision; effective strategies should invite disagreement.
  • AI has potential in strategic planning by analyzing market data, but it requires careful steering to yield valuable insights.

Considerations for Effective Strategy Development

Factors Influencing Strategy

  • Developing a strategy involves multiple considerations including technology state, team motivation, and competitive landscape.
  • Relying on AI without proper guidance may result in predictable strategies that competitors can anticipate.

Engaging with AI for Strategic Insights

  • To leverage AI effectively in strategy development, leaders must engage in dialogue and provide comprehensive inputs for consideration.

The Importance of Critical Feedback from AI

Choosing the Right AI Model

  • Different AI models have varying levels of responsiveness; selecting one that challenges assumptions can enhance strategic discussions.
  • A model that provides critical feedback is preferred over one that simply agrees with every suggestion.

Human-AI Collaboration Dynamics

Centaur Concept in Human-AI Interaction

  • The "centaur" concept illustrates the ideal human-AI relationship where humans lead rather than follow; avoiding scenarios where AI dictates actions is crucial.

Risks of Over-Reliance on AI

  • There are inherent risks if teams allow AI to dictate strategy or workflow decisions without human oversight.

Insights into Product Leadership

Curatorship Over Visionary Leadership

  • Successful product leaders often act as curators who foster talent and ideas rather than solely generating visionary concepts themselves.

Building Effective Teams

  • Team dynamics are essential; strong leadership teams require complementary skills and good interpersonal chemistry to function effectively.

Understanding Instagram's Algorithmic Insights

Misconceptions About Algorithm Functionality

  • Many believe Instagram's algorithm has a deep understanding of user preferences; however, it primarily relies on numerical correlations rather than semantic comprehension.

Evolving Capabilities with LLM Integration

  • Recent advancements enable algorithms to describe user interests more accurately through language models (LLMs), enhancing personalization efforts.

User Agency and Content Preferences

Shifting Towards User Control

  • Users will soon have more control over their content feeds by adjusting topics they want to see or avoid based on personal preferences.

Balancing Content Types

  • While users desire agency over their feeds, it's important not to overwhelm them with irrelevant content which could diminish overall satisfaction with the platform.

The Impact of AI Content on Instagram

Navigating Challenges Posed by Synthetic Content

  • The rise of AI-generated content presents both opportunities and challenges for Instagram as it competes for user attention amidst increasing content volume.

Emphasizing Authenticity Amidst Abundance

  • In an era dominated by synthetic content, users will likely seek out authentic creators whose perspectives resonate more deeply than generic outputs.

Exploration-Based Ranking and Engagement

The Importance of Discovery

  • Exploration-based ranking helps identify content that users may not know they are interested in, enhancing engagement by showcasing popular items.
  • Testing new content types can be challenging; however, it benefits niche and small creators by introducing them to audiences who might not have discovered them otherwise.

Enhancements in Content Ranking

  • Recent investments focus on improving ranking systems to boost originality, recency, and the breakout potential of diverse content pieces.
  • The company aims to achieve best-in-class recommendations inspired by competitors like TikTok while acknowledging areas for improvement.

Leadership Perspectives on Satisfaction

Balancing Expectations

  • Successful leaders often share a common trait of never being fully satisfied with their work, which can be both a blessing and a curse.
  • There are trade-offs in algorithmic feeds; while they help discover new creators, they may also limit visibility of friends' posts.

Navigating Trade-Offs in Technology

Understanding Complex Debates

  • Major debates around technology involve significant trade-offs; for instance, privacy versus safety is a recurring theme.
  • Engaging with strong opinions often involves presenting various perspectives rather than trying to change minds.

Embracing Controversy

Facing Criticism Head-On

  • Being active in discussions about contentious issues is essential; participation shows humility and acknowledges the ongoing debate surrounding social media's impact.
  • Transparency about decisions made within the company fosters understanding among users who may fear what they do not comprehend.

Communication Strategies at Meta

Utilizing Platforms Effectively

  • A shift towards using social media platforms for communication instead of traditional press releases was debated among leadership teams.

Coping with Public Backlash

Personal Reflections on Criticism

  • Early experiences with negative feedback shaped how criticism is perceived; understanding user frustration is crucial when changes occur unexpectedly.

Learning from Design Failures

Analyzing Past Mistakes

  • A redesign test led to backlash due to conflated issues between different features; clear communication could have mitigated misunderstandings.

Risk Management in Experimentation

Balancing Innovation and Caution

  • While innovation is necessary for growth, companies must approach testing carefully to avoid public relations disasters.

Lessons from Failure

Growth Through Setbacks

  • Significant failures provide valuable learning experiences; projects like Facebook Home taught important lessons about market fit and execution.

Parenting in the Digital Age

Setting Boundaries for Kids

  • Establishing boundaries around screen time is vital; children earn device usage through responsibilities like homework completion.

Encouraging Healthy Digital Habits

  • Parents should approve apps their children use, promoting healthy digital literacy while ensuring safety online.

Teaching Coding Skills

  • Engaging children in coding activities fosters creativity and critical thinking skills beyond passive consumption of digital content.

Final Thoughts on Technology's Complexity

Emphasizing Human Element

  • Recognizing that technology decisions involve complex trade-offs encourages empathy towards those making these choices amidst public scrutiny.

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Video description

Adam Mosseri is the Head of Instagram, where he oversees an app used by over 3 billion people. He also leads the team building Threads. Adam has run Instagram for longer than its founders did, after taking over from Kevin Systrom and Mike Krieger in 2018. A designer by training, he spent over 15 years at Meta, starting as a designer on Facebook’s mobile app, rising to lead Facebook’s News Feed, and eventually chosen to lead Instagram. During his tenure, Instagram’s user base has more than tripled. *In our in-depth conversation, we discuss:* 1. How the canonical product team structure is changing in 2026, from baker’s-dozen specialist teams to lean pods of four to six generalists 2. The rise of the “product staff” role—a blending of PM, design, data science, and research into one generalist operator 3. Why Adam is bullish on designers even as functional boundaries dissolve, and which roles are most at risk 4. What the Instagram algorithm knows about you, and why it’s only now catching up to what people assumed it knew years ago 5. Why the rise of AI-generated content is a tailwind for Instagram, and how the company is thinking about creator identity in a synthetic-content world 6. The two biggest product failures of Adam’s career—Facebook Home and the first version of Reels *Brought to you by:* WorkOS—Make your app enterprise-ready, with SSO, SCIM, RBAC, and more: https://workos.com/lenny Mercury—Radically different banking, now with Command: https://mercury.com/ *Episode transcript:* https://www.lennysnewsletter.com/p/adam-mosseri-ai-is-a-tailwind-for *Archive of all Lenny's Podcast transcripts:* https://www.dropbox.com/scl/fo/yxi4s2w998p1gvtpu4193/AMdNPR8AOw0lMklwtnC0TrQ?rlkey=j06x0nipoti519e0xgm23zsn9&st=ahz0fj11&dl=0 *Where to find Adam Mosseri:* • X: https://x.com/mosseri • LinkedIn: https://linkedin.com/in/mosseri • Instagram: https://www.instagram.com/mosseri • Threads: https://www.threads.com/@mosseri *Where to find Lenny:* • Newsletter: https://www.lennysnewsletter.com • X: https://twitter.com/lennysan • LinkedIn: https://www.linkedin.com/in/lennyrachitsky/ *In this episode, we cover:* (00:00) Introduction to Adam Mosseri (02:09) How product teams are changing inside Meta (05:48) Blurring roles and career anxiety (14:01) Hiring traits that matter now (16:48) How AI is resetting who succeeds at work (19:38) How Meta thinks about token spend and AI costs (23:23) Where human judgment still matters (25:56) Why AI is not automatically great at strategy (30:36) Why great product leaders are curators (34:23) What Instagram’s algorithm actually knows about you (38:08) Why chronological feeds often disappoint users (40:56) Why AI content may be a tailwind for Instagram (43:42) The future of AI and human content in the feed (48:00) What Adam admires about other social platforms (52:05) How he handles public criticism (56:31) Lessons from the Instagram feed redesign backlash (01:00:21) Adam’s biggest failure: Instagram on iPad (01:03:03) His approach to kids, screens, and social media (01:06:56) What Adam wants listeners to remember *Referenced:* • What happens after coding is solved? | Fiona Fung (Manager of the Claude Code and Cowork Teams): https://www.lennysnewsletter.com/p/building-the-most-ai-pilled-engineering • Claude Code: https://www.anthropic.com/product/claude-code • Claude Cowork: https://www.anthropic.com/product/claude-cowork • Head of Claude Code: What happens after coding is solved | Boris Cherny: https://www.lennysnewsletter.com/p/head-of-claude-code-what-happens • A rational conversation on where AI is actually going | Benedict Evans: https://www.lennysnewsletter.com/p/a-rational-conversation-on-where • OpenAI’s CPO on how AI changes must-have skills, moats, coding, startup playbooks, more | Kevin Weil (CPO at OpenAI, ex-Instagram, Twitter): https://www.lennysnewsletter.com/p/kevin-weil-open-ai • Mythos: https://www.anthropic.com/claude/mythos • Fable: https://www.anthropic.com/claude/fable • Pluralistic: The Reverse-Centaur’s Guide to Criticizing AI: https://pluralistic.net/2025/12/05/pop-that-bubble • Plastic Dream Sequence on Instagram: https://www.instagram.com/plasticdreamsequence • TikTok: https://www.tiktok.com • Facebook–Cambridge Analytica data scandal: https://en.wikipedia.org/wiki/Facebook%E2%80%93Cambridge_Analytica_data_scandal • Facebook Home: https://en.wikipedia.org/wiki/Facebook_Home _Production and marketing by https://penname.co/._ _For inquiries about sponsoring the podcast, email podcast@lennyrachitsky.com._ Lenny may be an investor in the companies discussed.