Nvidia AI Tokens: Why More Tokens Won’t Fix AI Projects
Nvidia AI tokens fund agent usage, but most AI projects have failed since 2018. See the governance and workflow changes that decide whether agents pay off.
Nvidia AI tokens fund agent usage, but most AI projects have failed since 2018. See the governance and workflow changes that decide whether agents pay off.
AI and entry-level jobs: why cutting junior roles weakens succession, how entry-level work shifts toward synthesis, and how leaders avoid never-skilling.
AI team integration for leaders: seven rules covering clear expectations, accountability, role-based upskilling, a team AI charter and outcome metrics.
Agentic AI is moving beyond proof-of-concept pilots into operational deployments.
Prompt engineering training that scales: start with a Community of Multipliers, pilot in one area, match formats to maturity, and cover RAG and security.
RPA and agentic AI work best together: RPA runs repeatable UI steps where APIs are missing, agents handle uncertainty, and leaders start with the problem.
The enterprise prompt engineer role: which model to use, transactional cost, prompting technique, and safe output with fewer tokens, plus pay and risk.
AI change management works when leaders keep people at the center: address fear openly, protect time for upskilling, and define acceptable use of AI.
Build trust in AI by tying adoption to measurable KPIs, making outputs explainable, involving stakeholders early and treating privacy as a boundary.