Land Smart, Move Smarter (2): Required Skills at Each Career Stage and New Standards in the AI Era

Continuing from the previous post, let’s take a closer look at the competencies required at different career stages — and how those standards have shifted in the 2025 AI transition era.

It Starts with Believing in Yourself

Above all else, the first thing is to have belief and trust in yourself as you are right now. Whether your grades weren’t great in school, whether you haven’t landed a job yet, or whether you’re struggling at your current workplace — you absolutely have your own latent strengths, and the most important thing is holding the expectation that how you discover and develop them can lead you to an entirely different life. Only then does the energy to forge your own future emerge.

6 Core Competencies That Drive Hiring and Career Moves

The key factors that influence getting hired or changing jobs can be broadly grouped as follows:

• Qualification: Certifications and scores earned through standardized tests. Weighted heavily in entry-level hiring.
• Knowledge: Learning ability built through books and information. The foundation of professional expertise.
• Communication: Documentation, presentation, and collaboration skills. Increases in importance as your career progresses.
• Experience: Work history gained through actual jobs. The key criterion at mid-level and leadership stages.
• Leadership: Ability to lead teams and projects. An essential requirement from senior level onward.
• Networking: Industry connections and relationship management. Has direct influence on hiring the more senior you become.

The 7th Competency Added for the AI Era: AI Literacy

Beyond the six competencies above, there is one more that must be added as of 2025 — AI Literacy. This doesn’t mean simply “I’ve tried ChatGPT” — it means the ability to apply AI to actual work to produce faster and better results.

• Entry/Junior: Using ChatGPT to assist with writing cover letters, researching job-related information, drafting emails, and summarizing meeting notes.
• Mid-level: Using AI to streamline reporting and data analysis, create proposals and presentations, and analyze competitors.
• Senior/Leadership: Leveraging AI tools for strategic decision-making, setting up team productivity workflows, and AI-augmented project management.

These competencies don’t come naturally — they never accumulate without separate investment of time and effort.

AI literacy is no different. Starting to use even just ChatGPT at work right now — that first step is what builds your competitive edge for the future.

Coming Up Next

In the next post, I’ll draw from personal experience to describe specifically what methods and opportunities I used to develop these competencies at each stage of my career.