Learning Ecosystem Governance | SweetRush L&D Trends 2026

For decades, L&D leaders have built effective learning and skilling programs and expanded our modalities to reach a distributed, often global, audience.

Now, with AI on the scene, we’re empowered to achieve even deeper, more impactful learning, given its ability to curate and generate dynamic content.

Here’s what’s most vital for L&D leaders to know as we navigate the many developing tools and technologies.

Don’t Bet
Against the LMS

Let’s start with the Learning Management System (LMS), home to our eLearning, ILTs, VILTs, videos, and assessments. Even in the brave new world of AI-powered tools and features, our organizations have use cases for these familiar modalities and the administrative and data capabilities of the LMS.

However, delivering training via LMS also presents challenges. Read more about its limitations and what lies ahead.

As we explore fresh ways to meet learners in the flow of work, L&D leaders must increasingly think outside the LMS—and embedded custom AI tools can be an excellent way to do so.

From Content Creator to Strategic Advisor and Curator

In this new era of L&D, we must understand how large language models (LLMs) like ChatGPT, Claude, and Gemini interact with our people.

Do they provide information that aligns with our organization’s norms and values, or do they provide generic or biased information? Spoiler: An out-of-the-box LLM will almost always provide the latter.

As L&D leaders, we must shift from a content creation role to one focused on advisory and governance, ensuring that AI outputs conform to our organization’s values, principles, procedures, and so on.

We call this process context engineering, and it acts as an intermediary layer between our people and public LLMs to:

Ensure that AI-generated outputs are relevant, accurate, and tailored to learners

Quarantine data from our learners’ queries from public LLMs to prevent breaches.

As we continue to embrace AI tools, L&D leaders must take our organizations’ risk tolerance and governance policies into account.
Our role as connectors means we continue to raise good questions  and bring the right people together to answer them.

Curation and  Community Management

With the explosion of AI-generated content (and slop), the L&D leader’s role as curator is increasingly critical. From filtering and indexing content; guiding learners to relevant resources, and actively managing communities of practice to foster exchange, our goal is to create living repositories of knowledge rather than static archives.

The Foundation of Flow-of-Work Learning: Autonomy

Here’s a rule of thumb: Respect learners’ autonomy.
Help (AI-powered or otherwise) should be available and accessible, not forced upon them.

To achieve this balance, it’s helpful to understand which of two mutually exclusive achievement goals a learner has:

Performance goals, or a desire to prove one’s ability. A learner with a performance goal doesn’t want help and finds intervention intrusive.

Consider a budding baseball player who wants to practice batting. They prefer to swing and make adjustments on their own, without advice or interruption from their coach.

Learning goals, or a desire to develop and receive help and instruction. A learner with a learning goal is eager to receive demonstrations, pointers, and feedback on their attempts to swing the proverbial bat.

Both learners will feel frustrated and discouraged if they receive a learning intervention designed to meet the other’s needs: Hence the need for autonomy.

Back to the Unpromptable:
Learning as a Human Pursuit

AI is an exciting technology that offers us new ways to do more of what matters. But as we lean into AI-powered tools and platforms, we must resist the temptation to replace all social learning with on-demand, flow-of-work solutions.

Amid growing social isolation, L&D leaders must continue to advocate for the humans at the heart of our learning and skilling efforts. Connecting with others helps us build the resilience we need to weather change and remain engaged in our work. At times, our people need live experiential learning (LEL) journeys that bond them across regions, functions, and roles and expand their perspectives in ways that aren’t purely utilitarian.

One key takeaway:

In 2026 and beyond, being the best advocates for our people and our business might mean that we’ll occasionally recommend the lower-tech but more human option: Sometimes an email should be a meeting.