AI Agent Masterclass - Session 1

[Timo Weber]

AI Agent Masterclass • Session 1

AI Agents: Why Now?

Understand the Shift in Work

← Back to Masterclass Overview

Date

9 December 2025

Duration

~60 minutes

Speakers

Timo Weber, Spencer Beemiller, Øyvind Foster, Thomas Geering & Team

🎬 Watch Recording

🎯 Key Takeaways

• The Intelligence Revolution: AI capabilities are growing exponentially—GPT-6 estimated at 1350 IQ
• The AI Agency Gap: The space between what LLMs can do and what enterprises need
• From Answers to Outcomes: AI Agents don't just respond—they own the result
• Start Now: The rate of change has never been faster—and it will never be this slow again

The Intelligence Revolution

Intelligence has varied within a relatively narrow set of bounds... until now. While average human IQ sits at 100 and Einstein at 160, GPT-6 is estimated at 1350 IQ. This isn't incremental—it's a paradigm shift.

📊 The Future of Work

40%

of global employment may be exposed to AI

300M

jobs globally may be subject to automation

25%

higher growth rate of AI-usable occupations

Jobs will change and shift. Position yourself for the new roles that are emerging.

What Do We Mean When We Say "AI"?

"Artificial Intelligence is: A system trying to do something that would normally require human intelligence. It doesn't have to 'think like a human'—the important part is that the result is plausible."

Machine Learning

Learns patterns from many examples, then makes decisions.

Example: Spam filter that "learns" what spam is from thousands of emails.

Generative AI

Creates new content: text, images, code.

Example: "Have something written quickly"—email drafts, summaries, ideas.

Agentic AI ⭐

Not just answers, but autonomous actions and workflows.

Example: "Please take care of this issue"—plans steps, fetches info, triggers actions.

From Rules to Reasoning

The evolution from deterministic workflows to agentic systems represents a fundamental shift in how work gets done:

Deterministic Workflows	AI Assistants	Agentic Workflows
Follow a route	Understand and create text	Understand the journey and own the outcome
Provision laptop to new employee	Summarize ticket & suggest resolution	Automate timesheet from unstructured data
Request manager to approve expense	Draft response to customer complaint	Determine and execute resolution for P2 incident

How Work Has Evolved

1️⃣

"Hi Joe"

Chaos. Emails. Hallway conversations. Nothing documented.

2️⃣

Structured Work

Process + Automation. Forms, tickets, rules, RPA.

3️⃣

AI Assistant

Gen AI helps, summarizes, writes—but still reactive.

4️⃣

Agentic AI ⭐

AI owns the outcome. It plans, acts, adapts.

The shift: From AI that answers questions → to AI that delivers outcomes.

The AI Agency Gap (Gartner)

The AI Agency Gap is the space between what LLMs can do today and what is required to reliably act in an enterprise environment.

✅ LLMs are great at:

• Language understanding
• Speed of response
• Content generation

⚠️ But they still lack:

• Reliable multi-step planning
• Persistent memory across sessions
• Tool execution & workflow integration
• Enterprise governance & audit trails

Enterprise Risks: Operational (unpredictable actions), Regulatory (hard to audit), Trust (black box decisions)

Call to Action

"The rate of change has never been faster.

And it will never be this slow again!

Start NOW!"

🚀 Your Next Steps

• Start Small, Start Now: Don't wait for perfect conditions
• Pick One Workflow: Ask yourself: "Could an Agent own this?"
• Continue Your Journey: Proceed to Session 2 to learn how to prioritize use cases

📚 Resources

• 🎬 Session 1 Recording & Download Slides and Resources

← Back to Overview Next: Session 2 - Good Ideas → Great Agents →

Last updated: January 2026