Are You Agentic Enough for the AI Era?
As AI coding agents automate routine tasks, Silicon Valley is redefining success in tech. The most valuable skill now isn’t coding itself—it’s deciding what AI should do. This shift is reshaping how companies like Notion, Andreessen Horowitz, and startups like Phoebe approach talent and productivity.
Why ‘Agentic’ Skills Matter in the AI Era
Notion’s Akshay Kothari calls agency the “last unique human trait” in tech. With AI handling code generation, developers must focus on strategic decisions. Simon Last, a Notion cofounder, uses four AI agents daily, emphasizing that “knowing how to harness these agents is now the most important skill in the world.”
The New Workflow: Managing AI Agents
- Delegating tasks to AI agents
- Reviewing and refining AI-generated code
- Adapting to rapidly evolving tools
Notion’s approach reflects this shift: engineers now manage AI agents like human teams. Kothari notes, “There’s more value in the Valley today to have a few Simons than thousands of engineers.”
Agentic Skills Beyond Coding
While AI coding tools dominate tech, the “agentic” mindset is spreading. Andreessen Horowitz’s Jennifer Li warns that ignoring AI tools is a red flag for founders. Slow Ventures’ Yoni Rechtman highlights startups seeking people who “build the machine” rather than execute tasks manually.
Industries Preparing for AI Disruption
Finance, legal, and creative fields are next. A Gallup survey shows 60% of Americans still don’t use AI at work—but that’s changing fast. Rechtman jokes about the term “agentic” being cringe, yet admits it reflects a critical skill: “You’re either a main character or an NPC.”
How to Cultivate Agentic Skills
Developing agency requires curiosity and adaptability. Here’s how to start:
- Embrace experimentation: Test new AI tools weekly.
- Think strategically: Ask, “What should AI do next?”
- Master delegation: Train AI agents to handle repetitive tasks.
Phoebe, an AI healthcare startup, exemplifies this. Their job postings prioritize “building the machine” over raw execution. As Rechtman puts it, “The future belongs to those who automate their own work.”
Challenges and Ethical Considerations
AI adoption isn’t without risks. Li stresses accountability: “The person who submitted the code is still responsible if it’s wrong.” Notion’s “no slop rule” ensures humans maintain oversight. Meanwhile, debates continue about whether AI truly enhances productivity or creates new bottlenecks.
Conclusion: The Agentic Future
The AI era rewards those who can guide technology, not just use it. Whether you’re a developer, founder, or professional in any field, asking “Am I agentic enough?” could determine your relevance. Start experimenting with AI tools today—your future self will thank you.
FAQs
1. What does it mean to be ‘agentic’ in the AI era?
Being agentic means taking initiative to direct AI tools strategically, rather than executing tasks manually. It involves curiosity, adaptability, and a focus on high-level decision-making.
2. How do AI coding agents impact software engineering?
They automate repetitive coding tasks, allowing engineers to focus on design, architecture, and innovation. Companies like Notion now prioritize hiring “super ICs” who manage AI agents over traditional coders.
3. Can non-tech professionals benefit from agentic skills?
Absolutely. As AI expands into finance, healthcare, and creative fields, the ability to delegate tasks to AI and focus on strategic outcomes will become a universal advantage.
4. What industries are next for AI disruption?
Finance, legal, and creative sectors are already adopting AI tools. A Gallup survey shows 30% of Americans now use AI at work, with adoption rising rapidly.
5. How can I start developing agentic skills?
Experiment with AI tools in your field, delegate repetitive tasks to AI, and focus on solving complex problems. Stay curious about new technologies and how they can enhance your workflow.
