Thank you for being part of my session at CPHR BC & Yukon
The After Show
In the latest episode of The After Show, hosts dive into Shawn Kanungo's thought-provoking session at CPHR
KEY TAKEAWAYS (an AI-Output with Hallucinations)
ai TOOLS THAT SHAWN USES:
Lovable - Build any app with agentic reasoning
Manus - Most comprehensive AI agent in my opinion
OpenAI’s Deep Research - Absolutely the best research tool out there right now
Lindy - Build an AI agent - great for AI automation
Google AI Studio - Real-time AI co-presence
Perplexity - Instead of Googling (I like it because it gives you the sources)
v0 by Vercel - Text-to-Webpage
Claude 3.7 Sonnet - Feed data into Claude multi-model trend analysis, code, prototypes and gap identification
HeyGen - AI Video Avatar
Midjourney - Pictures and graphics (Much better than DALL-E)
Clay - AI Outbound Sales | Generating lists of emails and sending cold outreach
Figjam - Whiteboarding Ideas | Brainstorming | Organizing
Iris.ai or Consensus.app - for Al-powered research exploration
NotebookLM - Two AI podcast hosts dissecting my keynote
Runway - Text to Video
Replit - Idea-to-App
The Evolution of AI
Generative AI Era (2023-2024)
ChatGPT launched in late 2022, capturing the world's attention
2023-2024 became defined by "generative AI" with widespread adoption of tools for writing, image generation, and deep fakes
AI democratized work similar to how the internet democratized knowledge
Transition to the Agentic Era (2025)
The "generative AI revolution" is now considered "over"
We're entering the "agentic" revolution in 2025
Key premise: AI agents will provide 10x to 1000x the value of generative AI alone
Why Agents Matter
Agents are software that autonomously perform tasks on behalf of humans
They mimic human employees but never sleep or stop
Even Nvidia's CEO Jensen Huang highlighted agents' importance in his CES talk
Agents as the New Conversational Layer
1990s: Businesses needed websites
2000s-2010s: Businesses needed apps and social media
2025 and beyond: Agents will become a critical "conversational layer"
Companies will race to build brand-specific AI agents
Challenge will be differentiation between agents
Fundamental Shifts in Work and Trust
The End of Trust
AI makes it increasingly difficult to distinguish between AI-generated and human-created content
Deep fakes and simulations become indistinguishable from reality
Trust erosion becomes a significant concern
From Knowledge Workers to Value Creators
Most valuable jobs will no longer be purely knowledge-based
Focus shifts to creating value in new and innovative ways
Leaders must become innovators, not just efficiency managers
Age of "Infinite Leverage"
Individuals can accomplish more with fewer resources
AI tools enable unprecedented productivity scaling
AI as a New Creative Paradigm
The End is Now the Beginning
AI-generated outputs aren't final products but starting points
They inspire and guide further human creativity
Iterative Creation
Generate numerous initial ideas/drafts using AI
Explore possibilities broadly before human refinement
Creative process becomes more dynamic and exploratory
Rapid Prototyping
Quickly develop initial concepts (websites, apps, analyses)
Accelerate the innovation cycle dramatically
Example: Generate hundreds of options in seconds (Midjourney for ads)
Innovation Philosophy
Innovation as Identity
Innovation isn't just about products or revenue—it's about mindset
Key question: "Are you truly willing to be the innovator and suffer through the difficult process?"
Practical approaches:
Maintain a personal innovation journal
Create a "discomfort schedule" for tackling challenging tasks
Find an innovation accountability partner
Reframe failure as learning through "productive failures"
Think Inside the Box
True innovation often means mastering constraints, not ignoring them
Like bomb technicians who must be creative within tight safety parameters
Implementation strategies:
Map your constraints explicitly
Run "constraint-focused innovation sessions"
Study industry rules deeply before trying to bend them
Create "constraint optimization" exercises
Learn from adjacent industries with similar constraints
Two-Headed Innovation
Requires both mastering current constraints and watching for macro disruptors
Practical approaches:
Establish a "macro trends watch"
Create separate innovation tracks (incremental vs. disruptive)
Adopt a "box-hopping" mindset
Implement cross-industry learning
Conduct "future-back planning" exercises
The Enemies of Innovation
Nostalgia: Excessive attachment to past successes
Extreme Efficiency: Squeezing out space for innovation
The Power of Deeply Caring
Foundation of Trust
Reliability and genuine care build trust in technology and human interactions
Exceptional service creates memorable experiences that differentiate businesses
Employee-Customer Connection
Organizations that care for employees deliver superior customer service
Employee satisfaction directly translates to customer trust
Components of Caring Culture
Personalized attention and proactive problem-solving
Investment in employee well-being and growth
Recognition of contributions (extending to employees' families)
Empowerment through tools and genuine concern
Strategic Advantage of Care
Drives customer retention and employee innovation
Creates ripple effects beyond immediate interactions
Fosters environments where individuals feel valued
Human-Centered Leadership
People Over Projects
Prioritizing people (e.g., respecting vacation time despite client demands)
Builds loyalty and long-term business value
High-Agency Cultures
Combining technological tools with people-centric care
Creates proactive, innovative employees committed to the company's mission
The Value of Friction
Bringing Back Friction
In an increasingly frictionless world, friction creates deeper connections
Community management thrives on trust and relationships, not just efficiency
Strategic Positioning
Companies will win by being either:
Extremely frictionless, OR
Extremely human
The middle ground is "the black hole of mediocrity"
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
If you scrolled this far.
Here’s a video of me breaking down Agentic AI