AI model advancements and agent capabilities will force a radical transformation of talent, teams, and organizational structures.
While many organizations are still trying to enable and teach the most basic AI assistant functions in ChatGPT, Claude, Copilot, and Gemini, the AI labs are racing ahead.
We must build on proven approaches to learning and development to reskill and upskill workforces at the speed the market and the technology demand.
This requires a foundation of dynamic learning and personalized journeys.
Providing access to AI tools and course catalogs is not enough to drive people toward competency and mastery that grow their careers and organizations.
Dynamic learning continuously adapts to technology and organizational changes, as well as the learner’s AI literacy, role, goals, and progress.
Rather than relying primarily on a fixed curriculum of on-demand courses and certificates, a dynamic learning approach brings together evergreen foundational education with timely content and experiences that respond to changes in AI.
Dynamic learning also mandates an update in how we measure the impact of education and training initiatives.
Monitoring course completion rates and AI tech utilization rates are helpful leading indicators, but they don’t tell the whole story.
Learners need to demonstrate high levels of proficiency and confidence in applying AI to their work, and adaptability and resilience to a rapidly changing environment.
This requires establishing a baseline of knowledge and capabilities through standardized assessments, and then tracking improvement across key dimensions.
Over time, learning programs can continuously evolve based on:
The goal is a learning experience that remains relevant as both the learner and the technology evolve.
In short, dynamic learning delivers the right knowledge and skills to the right person at the right time, continuously adapting as the learner—and the world around them—changes.
Consider a snapshot of AI advancements over just the last two years that completely altered what was possible with AI, and how it should have been taught within enterprises:
In addition, despite calls for regulation and “pacing” AI research and development, the AI labs are locked in a competitive battle resulting in new state-of-the-art frontier models being released every 2-3 months.
The rate of releases drives confusion and uncertainty for business leaders, and leads to constantly shifting user experiences in leading AI platforms as the labs attempt to productize and market their innovations.
Organizations have the opportunity to rapidly evolve and strengthen their learning and development programs with the right technology, curriculum, and applied experiences.
AI Academy by SmarterX is the cornerstone of our mission to accelerate AI literacy and human-centered transformation for individuals and organizations.
Since launching in 2020 with a collection of on-demand courses and certificates, AI Academy has continually evolved to meet the needs of our learners.
Today, the platform includes hundreds of on-demand courses, dozens of professional certificates, weekly Apps & Agents reviews, live learning experiences, and a growing community of AI-forward professionals and leaders.
Now, we’re building on that foundation for the next phase of AI Academy. We are focused on three areas:
Register for AI Academy Day 2026 on Nov. 19.
We believe the future of learning lives in real-time content and experiences, not catalogs of static courses.
While we will continue to update and expand our on-demand professional certificate course series—AI Foundations, AI for Departments, AI for Industries—we are rolling out a number of new dynamic learning initiatives designed to deliver value to our learners at a higher velocity.
Here’s a sample of the new dynamic content that will complement our existing AI Academy Lives and Apps & Agents reviews.
The five Pillars of Personal AI Transformation, as identified in The AI Transformation Blueprint, are: Knowledge, Application, Judgment, Impact, and Mindset.
We continually evolve AI Academy to push individual learner progress across these core areas. Personalization of learning journeys is fundamental to optimizing experiences and outcomes.
We approach personalization through content, technology, and community:
Here are some of the questions we use to inform personalized learning journeys?
AI Academy has hundreds of business accounts that use our courses to accelerate AI literacy in their organizations.
Through conversations with leaders in those organizations, as well as my private discussions with executives across industries, it is clear that leaders are struggling to set clear AI transformation goals, establish and adapt AI training and education programs, build AI roadmaps, and measure progress.
AI Score, which launches in public beta in October 2026, is a change management tool from SmarterX designed to make AI transformation more measurable and actionable.
Register for Introduction to AI Score for Business Leaders on Nov. 13.
AI Score lets leaders assess their organizations (Business AI Score), and individuals assess themselves (Personal AI Score). Results then inform personalized learning journeys and transformation blueprints.
AI Score is based on the idea that transformation requires deep change management. It cannot simply be technology—Copilot, Claude, ChatGPT, Gemini—handed to employees who lack the context and understanding of how to use the tools, which is what is happening in many of the enterprises I meet with.
Together, Personal AI Score and Business AI Score can establish cohorts and set the starting line for transformations. The assessments can be retaken periodically to evaluate progress and adapt learning plans.
In addition, we are building new weekly and monthly reports to give AI Academy business account team leads real-time views of engagement and progress, and establishing quarterly business reviews (QBRs) with our premium accounts to align activities with learning and transformation goals.
Join us Nov. 19 for AI Academy Day 2026 (open to AI Academy members and non-members) for a full overview of the product roadmap, but here are some of the other elements of AI Academy’s next phase:
Whether you work with SmarterX as a transformation partner, or reshape your learning and development program internally, consider the importance of dynamic learning, personalized journeys, and making transformation more measurable.
AI-forward organizations have the opportunity to create competitive advantages by accelerating their teams’ AI literacy and capabilities, but it takes a more innovative approach as the pace of technological change continually redefines what’s possible.
The future of work is human + AI, and the future is now.