TLDR: Tech CEO Dan Herbatschek of Ramsey Theory Group highlights the increasing demand for AI fluency among hiring managers. He outlines a three-phase approach for job seekers and those seeking internal promotions to develop foundational, applied, and strategic AI collaboration skills, emphasizing practical application and business value over mere technical knowledge.
NEW YORK, Oct. 27, 2025 (GLOBE NEWSWIRE) — Ramsey Theory Group (RTG), a research-driven technology firm led by CEO Dan Herbatschek that specializes in applied mathematics, artificial intelligence, cybersecurity and software development, today issued guidance for professionals and job-seekers on how to prepare for what Herbatschek identifies as “a definitive shift in hiring priorities”—the demand for AI fluency across industries.
“Employers are no longer asking if you know AI, they’re asking how you will use AI to drive value,” Herbatschek stated. “Whether you’re applying for a new job or aiming for an internal promotion, you must build genuine fluency in AI and its business applications—not just pass a…” Herbatschek outlines a three-phase approach for professionals to cultivate AI fluency:
1. Build foundational fluency (0–3 months): Enroll in an introductory AI course or certification. Familiarize yourself with core AI concepts (machine learning, deep learning, natural language processing) and common tools (e.g., Python libraries, cloud AI services). Understand AI’s ethical implications and potential biases.
2. Demonstrate applied fluency (3–9 months): Pick a business or process challenge (in your current role or a volunteer project) and prototype an AI-driven solution or dashboard. Document your steps: data ingestion, model/insight generation, business outcome. Share the results internally (for promotion) or externally (for a job) with a clear explanation of value delivered (“enabled decision-making, reduced cost, improved responsiveness”). Enroll in an intermediate/advanced AI course that links machine-learning to domain business (industry-specific verticals: automotive, logistics, skilled trades, etc.). Begin engaging with AI governance, ethics, data-bias, and operationalization—differentiators in today’s screening process.
3. Position yourself as a strategic AI collaborator (>9 months): Seek mentorship or build a peer-group focused on AI adoption in your domain: ask smart questions, propose incremental AI pilots, document results. Identify how your current or target organization could embed AI (business workflow, decision-support, automation) and draft a mini-road-map you can present. This signals you’re not just tech-curious—you are business-oriented and initiative-driven. Consider an internship, fellowship, or part-time role that gives you front-line exposure to AI product development, analytics engineering, or cross-functional strategy.
Also Read:
- AI Prompt Engineering Evolves: ‘Vibe Coding’ and the Ascent of Creative, Advanced Skills in 2025
- Paradox in AI Job Market: Specialized Agent Developer Roles Scarce Amidst Explosive Growth
Ramsey Theory Group (RTG) is a research-driven firm focused on advanced mathematical approaches to machine learning, artificial intelligence, and data science. The firm focuses on advancing practical intelligence systems across the manufacturing, automotive, and skilled-trade industries.
