L&D’s Next Step: From AI Adoption to Orchestration

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The future of L&D depends on understanding how human expertise and artificial intelligence can complement each other.

Discover how to use AI to expand your capabilities while keeping human judgment, creativity, empathy, and responsibility at the center of learning.

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Explore the sessions

Free Online Conference Replays

|

Watch Anytime

The future of L&D depends on understanding how human expertise and artificial intelligence can complement each other.

Discover how to use AI to expand your capabilities while keeping human judgment, creativity, empathy, and responsibility at the center of learning.

Request the recordings

Explore the sessions

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to the replays

AI is changing L&D’s work faster than ever. These sessions are for anyone ready to shape that change:

L&D specialists and consultants

Instructional designers and Curriculum developers

HR and Talent Development professionals

eLearning developers

Educators and eLearning enthusiasts

Business owners

Get access to the replays

AI is changing L&D’s work faster than ever.
These sessions are for anyone ready to shape that change:

L&D specialists and consultants

Instructional designers and Curriculum developers

HR and Talent Development professionals

eLearning developers

Educators and eLearning enthusiasts

Business owners

AI is evolving faster than most organizations can adapt. For L&D professionals, that creates both an opportunity and a challenge: how do you take advantage of new capabilities without chasing every new tool, compromising quality, or losing sight of the people you're designing learning for?

This year, we're focusing on AI orchestration: deciding how AI tools and human expertise work together across L&D.

Why culture, not tools, determines whether AI adoption actually succeeds

How to build ethical, secure, and compliant AI practices into your L&D processes

Why expertise gained through hands-on experience remains essential to using AI well

Practical ways to keep pace with changes in AI without burning out your team

What's new in iSpring's AI toolkit, and how it fits into a smarter, more responsible workflow

How to evaluate AI-generated course content

AI is evolving faster than most organizations can adapt. For L&D professionals, that creates both an opportunity and a challenge: how do you take advantage of new capabilities without chasing every new tool, compromising quality, or losing sight of the people you're designing learning for?

This year, we're focusing on AI orchestration: deciding how AI tools and human expertise work together across L&D.

Why culture, not tools, determines whether AI adoption actually succeeds

How to build ethical, secure, and compliant AI practices into your L&D processes

Why expertise gained through hands-on experience remains essential to using AI well

Practical ways to keep pace with changes in AI without burning out your team

What's new in iSpring's AI toolkit, and how it fits into a smarter, more responsible workflow

How to evaluate AI-generated course content

Five Expert-Led Sessions, Ready When You Are · Five Expert-Led Sessions, Ready When You Are · Five Expert-Led Sessions, Ready When You Are ·

Egle Vinauskaite

Strategic Advisor, AI and Learning Transformation, Nodes

Four years of AI in L&D: Adoption, use, and what comes next

Overview of the state of AI use in L&D, four years in

Key trends to watch and factors to consider

The future of L&D and what's waiting on the other side of AI transformation: the Transformation Triangle framework

James Gilchrist

Founder & Director, Lighthouse L&D Consulting LLC

The Work Between the Prompts: Recognizing When Human Judgment Matters

As organizations move from adopting AI tools to integrating them into established workflows, a critical challenge emerges: how do people recognize when their judgment is needed, determine what questions to ask, and make defensible decisions about what happens next?

In this practical, scenario-based session, we'll explore an AI-assisted workplace process already underway.

Participants will examine the signals that warrant human attention, discover how competing organizational priorities influence decisions, and use a Discernment, Direction, and Quality (DDQ) framework to consider what actions are appropriate and why.

Then we'll explore the original AI adoption decision to determine what might have changed had those considerations been introduced earlier.

The emphasis is on developing human capability—not simply identifying risks or recommending practices, but helping people become better equipped to recognize, evaluate, and navigate consequential situations in AI-augmented work.

Alex Sovereign

Senior Account Executive and eLearning Expert at iSpring

Pilot, Not Passenger: Taking the Lead in AI Course Creation

Using AI doesn’t mean giving up control. AI can help you create course content, but it doesn’t know your learners, your organization’s standards, or what makes learning land. That’s where you come in.

In this demo, you’ll see how a course comes together in iSpring Suite, how Bloom’s taxonomy guides the AI-generated content, and how to review the results for accuracy, quality, and real learning value.

AI can do a lot of the heavy lifting, but your expertise is what makes the course actually work for your learners.

Mike Taylor

Learning Designer, Co-author of Think Like a Marketer, Train Like an L&D Pro

Avoiding the "Bad Training, Faster" Trap in the Age of AI

AI can build a course in minutes. That's the problem.

L&D teams are being told to use AI for everything and ship more content, faster. But most training already fails to change what people do on the job. Making it faster doesn't fix that. It just gets us to forgettable sooner.

In this session, you'll see why so much AI-made training gets ignored. It isn't wrong. It's generic, and people tune out generic. Through side-by-side examples of the same content built two ways, you'll see what AI can't supply on its own. Then you'll get a simple way to give it the context that makes people pay attention, remember, and act.

What we'll cover:

The real bottleneck isn't speed

AI fixed production. But production was never our problem. Attention and follow-through are. More content, faster, just means more noise fighting for the same few minutes of focus.

Why AI content slides right off

Default AI output is accurate and easy to ignore. We'll watch one prompt produce two very different results and name what the weak one is missing: personal stakes, real context, and a reason to care.

Give AI what only you know

Before you prompt, answer four questions. Who is this for? What do they struggle with? What should change? How should it feel? We'll use your answers to turn a generic phishing course into one built for a real team: billing clerks who get fake invoices at month-end, when everyone is rushed and nobody wants to be the one who held up a payment.

Ashley Lonie

Founder & CEO, Teamed

Make It and Check It: What 9,000 Job Posts Say AI Orchestration Really Means for L&D

Teamed analyzed 9,135 L&D job postings and 36,463 candidate résumés to see how AI is actually showing up in hiring. In two years, AI went from 6% to 46% of L&D job posts. But most employers aren't asking people to build AI tools. They want practitioners who can create with AI and show how they checked the work.

The session will cover what employers are really asking for, the fast-growing (and under-discussed) demand for responsible use and quality review, a few common myths the data doesn't support, and practical takeaways for both practitioners and L&D leaders who hire.

iSpring Learning Exchange

Get Connected

Join the iSpring Learning Exchange, a global network of 18,000+ L&D professionals across 70 countries who already know their way around AI. It's a place to compare notes, trade ideas, and stay sharp alongside peers who are just as invested
in the future of L&D as you are.

Join the Community

iSpring Learning Exchange

Get Connected

Join the Community

Join the iSpring Learning Exchange, a global network of 18,000+ L&D professionals across 70 countries who already know their way around AI. It's a place to compare notes, trade ideas,
and stay sharp alongside peers who are just
as invested in the future of L&D as you are.