Thank you for being part of my session at Syngenta

The After Show

In the latest episode of The After Show, hosts dive into Shawn Kanungo's thought-provoking session at Syngenta

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KEY TAKEAWAYS (an AI-Output with Hallucinations)

AI AGENTS & AGentic workflows

  • Atlas - AI Browser by OpenAI

  • n8n - Workflow automation

  • Cursor - Coding agent

  • Comet by Perplexity - Best Agentic Browser - browse the internet with AI and get stuff done

  • Lindy - Build an AI agent - great for AI automation

LLM

  • OpenAI’s Deep Research - Absolutely the best research tool out there right now

  • Manus - Most comprehensive AI agent in my opinion

  • Claude Skills - Claude Skills is the best skills agent - this allows to be more deterministic with your agents.

  • Grok 4 - Equivalent to o3 from ChatGPT - awesome for X data

  • Gemini 2.5 - Incredible LLM

Text-to-App

  • Lovable - Build any app with agentic reasoning (best at front-end)

  • v0 by Vercel - Text-to-Webpage (really good front-end)

  • Replit - Idea-to-App (best for full app)

Text-to-IMAGE/VIDEO

Research & other

  • NotebookLM - Research and the two AI podcast hosts that you see above :)

  • Google AI Studio - Real-time AI co-presence

  • Clay - AI Outbound Sales | Generating lists of emails and sending cold outreach

  • Figjam - Whiteboarding Ideas | Brainstorming | Organizing

Briefing: Innovation, AI, and the Agentic Era

This This document synthesizes the core arguments presented by innovation strategist Shawn Kanungo, focusing on the transformative impact of Artificial Intelligence, the redefinition of corporate strategy, and the future of the agriculture industry. The central thesis is that we are entering an "agentic era" where AI transitions from a tool for information retrieval to a system for autonomous action, fundamentally altering the nature of work and value creation.

Farming is positioned not merely as agriculture but as a "data business," uniquely poised to leverage these technological advancements. The key to navigating this future is not knowledge, which is now commoditized by AI, but the human capacity for innovation, hunger, and challenging the status quo. Future success for organizations will be determined by a strategic choice between hyper-efficiency ("frictionless") and deep, meaningful experiences ("friction"), with the most resilient competitive advantage being a culture where people are "deeply cared for." Attracting the next generation to industries like farming requires a shift in narrative, focusing on improving status through technology, empowerment, and purpose. Ultimately, true innovation and leadership demand a willingness to self-disrupt, to "start from zero," and to embrace ideas that initially "look like a joke," because remarkable leaders are defined by their commitment to creating the future, not just optimizing the past.

1. The Dawn of the Agentic Era: AI's Shift to Autonomous Action

Kanungo argues that the current discourse around AI is not overhyped and that we are moving beyond simple applications into a new revolution defined by autonomous action. This "agentic era," set to unfold from 2025 onwards, is characterized by software that can not only think but also execute complex tasks, unlocking unprecedented value.

From Information to Action: For the last three decades, technology has primarily created "elegant ways of storing and retrieving information." The fundamental shift with modern AI is that "for the first time in human history, software can actually get stuff done for us."

The Power of an Idea: In this new era, "the most dangerous skill in the world is just coming up with an idea," as AI tools can rapidly translate concepts into functional applications.

Practical Demonstrations in Farming:

    ◦ Digital Twin of a Farm: Using a prompt fed into an application builder called "Loveable," a comprehensive digital twin of a farm was created. This platform included detailed analytics on soil, crops, weather forecasts, irrigation, and livestock, demonstrating the ability to build sophisticated management tools from a simple idea.

    ◦ 24/7 AI Agent: An AI agent for Syngenta was created by scraping the company's website. The agent could answer complex user questions (e.g., about the ROI of precision agriculture), provide nuanced responses, and even translate its answers into other languages, such as Japanese.

    ◦ Advanced Data Analysis: A 3,000-line Excel document of crop yield data was fed into a large language model named Claude. The AI not only analyzed the data but built a predictive Excel model and simulator directly within the application, showcasing how AI can be embedded into daily workflows to optimize and predict outcomes.

2. Farming Reimagined as a Data-Driven Enterprise

A core insight from Kanungo's research, including a visit to a cattle feedlot in Alberta, is the reframing of agriculture as a business centered on information.

Key Observation: After visiting farms and feedlots, the primary conclusion was: "You're in a data business. That's it."

Data in Practice: The feedlot was not just a farm but an "agger business" in its truest form.

    ◦ Individual Animal Tracking: Each animal is identified with an RFID ear tag, allowing for precise tracking.

    ◦ Performance Analytics: Key metrics such as health scores (checked daily by cowboys and weekly by vets) and "average daily gain" are meticulously tracked.

    ◦ Financial Optimization: The ultimate business question is, "what is it cost to put on a pound to gain?" This highlights how data is directly tied to financial performance.

The AI Opportunity: The identification of farming as a data-centric industry presents the "greatest opportunity to leverage this technology [AI]."

3. The Future of Work: Skills, Mindset, and Value Creation

The rise of agentic AI necessitates a profound shift in what skills are considered valuable and how individuals should approach their careers.

The Obsolescence of "Knowledge is Power": The long-held belief that "knowledge is power" is no longer valid "when everyone has an AI co-pilot." The new source of power lies in human attributes that AI cannot replicate.

The Innovator as the Most Valuable Role: The definition of innovation is "to create value in new ways." Consequently, the most valuable job in 2025 and beyond is to be an "innovator."

Overcoming Fear with Immersion: Fear of AI displacing jobs is common among those who have not engaged with the technology.

The Path to Empowerment: Every individual who immerses themselves in AI technology becomes proficient and empowered, seeing it as a tool to build and create rather than a threat. The recommended mindset is:

4. The Strategic Dichotomy: Friction vs. Frictionlessness

Organizations must make a conscious choice about the type of experience they deliver, as rising consumer expectations have created a polarized market where mediocrity fails.

Rising Baseline Expectations: Human expectations for speed and quality have risen exponentially. An example is the shift from a single airplane movie for all passengers to on-demand libraries, where customers are still dissatisfied. This efficiency drive has stripped context and trust from many interactions.

Bringing Back the "F Word" (Friction): While frictionless experiences (fast, efficient, self-service) are valuable, there is a growing need for "friction"—experiences that are "meaningful and magical and memorable and awe inspiring."

Two Winning Models for the Future:

    1. Frictionless: Companies that are "incredibly fast and eSicient," like Amazon, Temu, and McDonald's.

    2. Friction-Focused: Companies that "slow things down" to focus on experience, craftsmanship, and human interaction, like Four Seasons and Hermès.

The Black Hole of Mediocrity: The most dangerous place for a business to be is in the middle, trying to be a little of both and mastering neither. Organizations must audit their processes and decide where to be fully automated and frictionless versus where to deliberately slow down to build trust and relationships.

5. Culture as the Ultimate Strategy: The Power of Deep Care

Beyond technology and efficiency, the most enduring competitive advantage is a culture rooted in genuine care for people.

The Two Pillars of Trust: Kanungo states he only trusts two things in his life: "incredibly reliable technology" and "people that are deeply cared for."

The Dubai Hotel Anecdote: A hotel employee offered a gentle knock on the door as a third-level wake-up call. This extraordinary level of service was a direct result of a leadership team that deeply cared for its staff, even inviting their parents to stay at the hotel. The employee's pride was palpable.

The Deloitte Leadership Moment: A leader at Deloitte, when confronted by an angry client about an employee's vacation, defended the employee. He stated that "the people are the product" and that he would walk away from the project before compromising his team's well-being. This demonstrates a culture that prioritizes people over profits.

The Greatest Strategy: The synthesis of these experiences is a simple, powerful conclusion:

6. Attracting New Talent to Agriculture Through Status

To solve the challenge of recruiting young people into industries like agriculture, the conversation must be reframed from simple recruitment to offering a path to enhanced status.

The Wrong Question: Asking "How do we recruit more young people?" is ineffective.

The Right Question: The question should be, "How do we show young people that they can improve their status in this industry?"

Redefining Status: Status is not about wealth or class but is "simply about being valued and respected and admired by others."

Historical Precedent (The Roman Triumph): The Roman Empire successfully recruited soldiers for a thousand years by showcasing the high status of successful generals in massive public parades, which inspired young onlookers.

The Modern Triumph: Today, status is broadcast daily on social media. Young people's aspirations have shifted from traditional jobs to roles like streamers and influencers that offer visible status.

Applying it to Farming: To attract young talent, the industry must showcase its high-status attributes:

    ◦ It is technology-driven and increasingly tactical.

    ◦ It is empowering and offers flexibility.

    ◦ It provides ownership of land and freedom from traditional corporate structures.

    ◦ It is one of the most important and purpose-driven industries on the planet.

7. The Nature of Disruption and Remarkable Leadership

True strategic leadership in an era of constant change requires a mindset geared toward innovation and self-disruption, not just optimization.

Strategy as Energy: Strategy is not a document; it is "an imaginary theory that has to set people on fire." Without this energy, a strategy is merely a "PowerPoint."

Disruption Always Looks Like a Joke: Every disruptive technology, from the internet to Uber, was initially dismissed or ridiculed. The interaction between David Letterman and Bill Gates about the internet serves as a prime example. The lesson is that "disruption always starts out as a joke until the joke is really on us."

The Challenge to "Start from Zero": The most pressing challenge is not scaling from 0 to 100, but disrupting oneself by going from 100 to zero. By rethinking a process from scratch, an organization can achieve 5x improvements, not incremental 5% gains.

The Biggest Disruptor is Leadership: An anecdote from a Coca-Cola executive reveals that their biggest disruptor was not a competitor like Prime soda, but their own "good leadership." The company had become so efficient at optimizing the past that it had lost its innovative edge.The AI Revolution:

  • Generative AI's Potential: Shawn highlights how AI, especially generative AI, is transforming work by democratizing it. He draws parallels with the internet's impact on knowledge, emphasizing that AI will revolutionize how tasks are performed.

  • Generative AI Era (2023-2024)

    • Shawn recaps how ChatGPT launched in late 2022 and captured the world’s attention.

    • 2023 and 2024 became the era of “generative AI,” with widespread use of tools like ChatGPT for writing, image generation, deep fakes, etc.

    Transition to 2025: The Agentic Era

    • The speaker asserts that the “generative AI revolution” is now “over.”

    • We’re entering a new wave in 2025, referred to as the “agentic” revolution, or the agentic era.

    Key premise: AI agents will be the next huge disruptor, providing 10x to 1000x the value of generative AI alone.

    Why Agents?

    • An agent is software that can autonomously perform tasks on behalf of humans—mimicking what human employees might do but never sleeping or stopping.

    • Nvidia’s CEO Jensen Huang repeatedly referenced “agents” in his CES talk, highlighting their importance.

    Agents as the New Conversational Layer

    • In the ’90s, businesses needed websites.

    • In the 2000s-2010s, businesses needed apps and social media channels.

    • In 2025 and beyond, agents will become a critical “conversational layer” for organizations (internally and externally).

    • Companies will race to build their own brand-specific AI agents, and the challenge will be how to differentiate those agents.

  • AI marks "the end of trust" as it becomes harder to distinguish between AI-generated and human-created content. Shawn warns about the erosion of trust due to AI's ability to create indistinguishable deep fakes and simulations.

  • Shift from Knowledge Workers to Value Creators: As AI becomes more embedded in businesses, the most valuable jobs will no longer be knowledge-based but will center around creating value in new and innovative ways. Leaders must focus on being innovators, not just managing efficiencies​

  • We live in an age of "infinite leverage" where individuals can do more with less using various tools and resources.

  • AI as a Starting Point: The concept "the end is now the beginning" highlights a shift in how we approach creative and development processes. Rather than seeing AI-generated outputs as final products, they are considered starting points that inspire and guide further human creativity.

  • AI is the next communication layer: Just like the internet, websites, and apps, AI agents will become ubiquitous, transforming how we interact with clients and information. Kanungo predicts, "By the end of next year, every company in this room will have one AI agent or multiple or hundreds."

  • Iterative Creation: By generating numerous initial ideas or drafts using AI, the creative process becomes iterative. This allows for a broad exploration of possibilities before honing in on the final deliverable through human refinement and creativity.

  • Rapid Prototyping: The example of generating a hundred websites, apps, or analyses with the help of AI emphasizes the efficiency and speed with which initial concepts can be developed. This rapid prototyping accelerates the innovation cycle.

  • Creative Catalyst: AI serves as a catalyst for innovation by providing a multitude of starting points. It breaks the traditional linear progression of project development and encourages a more dynamic and flexible approach

  • AI-Driven Efficiency: Tools like Midjourney can generate multiple creative options for advertisements in seconds, providing companies with the flexibility to test and optimize their campaigns efficiently

The Concept of DEEPLY CARING:

  • Reliability and genuine care are foundational to building trust, both in technology and human interactions.

  • Exceptional service goes beyond basic expectations, creating memorable experiences that differentiate a business.

  • Personalized attention and proactive problem-solving significantly enhance customer satisfaction and loyalty.

  • Investing in employee well-being and growth fosters a positive work culture, leading to increased job satisfaction and performance.

  • Recognizing and valuing employees' contributions, even extending to their families, can create strong emotional connections to the workplace.

  • Empowerment is a two-pronged approach: providing cutting-edge tools (like AI) and demonstrating deep care for individuals.

  • Genuine care is a strategic business advantage, driving both customer retention and employee innovation.

  • Creating a culture of care can transform service delivery, employee engagement, and ultimately, business outcomes.

  • The ripple effect of care extends beyond immediate interactions, influencing long-term relationships with both customers and employees.

  • Innovation thrives in environments where individuals feel valued, supported, and equipped with the right tools.

  • Care for Employees = Care for Customers: Organizations that deeply care for their employees tend to deliver superior customer service, as employee satisfaction directly translates to customer trust and satisfaction

    The Importance of Human-Centered Leadership

    • People Over Projects: A leadership philosophy that prioritizes people, such as letting employees take vacations despite client demands, fosters loyalty and long-term value for the business​.

    • High-Agency Cultures: Empowering people by combining technological tools with people-centric care creates "high-agency" employees who are proactive, innovative, and committed to the company’s mission​.

The Concept of Friction:

He advocates for maintaining trust through human-centric, meaningful, and memorable experiences.

  • Bringing Back Friction: In an increasingly frictionless world, Shawn argues for the value of friction in creating deeper, more authentic connections. He stresses that community management companies, unlike tech companies, thrive on trust and relationships, not just efficiency.

  • In a frictionless world, we need more friction.

  • Companies will win by being either extremely frictionless or extremely human - the middle ground is "the black hole of mediocrity."

Are you willing to look like a joke?

Shawn suggests that true innovation requires embracing uncertainty and discomfort - what he calls "the darkness." This idea challenges the common view that innovation is solely about achieving specific outcomes or results.

By focusing on identity rather than outcomes, Kanungo seems to be advocating for a mindset shift. He's suggesting that being an innovator is more about who you are and how you approach challenges, rather than just what you produce. This approach emphasizes qualities like curiosity, resilience, and willingness to take risks.

The question "Are you willing to be the innovator?" is provocative. It asks whether one is ready to:

  1. Embrace uncertainty and potential failure

  2. Challenge established norms and ways of thinking

  3. Cultivate a mindset of continuous learning and experimentation

  4. Persist in the face of setbacks and criticism

This perspective on innovation as an identity rather than just a process or outcome can be empowering. It suggests that anyone can be an innovator if they're willing to adopt certain attitudes and behaviors, regardless of their specific role or industry.

Disruption and Self-Disruption:

  • Leaders need to be willing to disrupt themselves.

  • Innovation isn't about thinking, it's about acting. It involves deliberately exposing yourself to challenges and suffering.

  • Small experiments and actions are key to starting the disruption process.

Embracing Innovation's Challenges

The Willingness to Look Foolish

  • True innovation requires embracing uncertainty and discomfort ("the darkness")

  • Focuses on identity rather than just outcomes

  • Requires qualities like curiosity, resilience, and risk-taking

Innovation as Universal Responsibility

  • Not a separate department but a mindset for everyone

  • Continuously asking how to improve

The Most Valuable Question

  • "What will you start today that scares you?"

  • Begins changing your story and challenging limits

Self-Disruption

  • The greatest challenge isn't scaling up (0 to 100)

  • It's having the courage to disrupt yourself and what's working (100 to 0)

Beyond Mountains

  • Success shouldn't breed complacency

  • There are always new heights after reaching what seemed like the summit

To Reach 5×, You Can’t Think 5 % Bigger—You Have to Go to Zero

Take any core process—finance approvals, R&D cycles, vessel maintenance—and ask: If we rebuilt this from scratch with today’s tech, what vanishes? What automates? What now demands more human warmth? Going “to zero” prevents incrementalism from smothering breakthroughs.

The Most Dangerous Person in the Room

It’s not the algorithm or the credentialed expert—it’s the individual who feels the fear, yet moves anyway. Bold + scared beats brilliant + stuck. Be that person, hire that person, partner with that person, and the future tips in your favor.

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