A Space for Thoughtful 
San Diego has a way of making big ideas feel possible. Maybe it’s the weather. Maybe it’s the fact that you’re surrounded by thousands of people who genuinely believe education can be fixed, and are actively trying to fix it. Whatever it is, ASU+GSV has a specific kind of energy that’s hard to describe until you’ve been in the room.
We came back with full notebooks, a few flight-delay stories, and a clearer sense of where education technology is actually heading, not where people hope it’s heading.
Here’s what stood out.
1. AI agents are no longer a future conversation
The chatbot era feels dated now. What dominated conversations this year was agentic AI — systems that don’t just respond but act. AI agents development has moved from concept to priority, with scheduling, content sequencing, learner nudges, and workflow automation being shown live on the floor. For anyone still treating AI integration as a Q&A tool, the summit made one thing obvious: the gap is widening fast.
2. Generic training is losing its case
The conversation around workforce training has shifted from intent to execution. Personalized learning isn’t a new idea, but the elearning development services and tools to deliver it at scale have finally matured. AI powered content creation that adapts to a learner’s role, pace, and knowledge gaps is moving from pilot to standard. Organizations investing in content creation services and AI powered content generation are already seeing measurable gains in retention and performance numbers.
3. The human layer still decides everything
For all the excitement around automation, the most grounded sessions were about human oversight. Reinforcement Learning from Human Feedback, LLM training, and the quality of AI training datasets, these weren’t compliance conversations, they were product conversations. There was also serious discussion around synthetic data and its role in building more robust, unbiased models. The organizations building AI people actually trust are the ones treating data governance best practices and AI ethics and governance as a core part of development — not an afterthought. Human in the loop systems aren’t slowing AI down; they’re what makes it reliable.
4. Most companies are stuck between demo and deployment
This was perhaps the most honest thread running through the summit. Plenty of teams have proof-of-concepts and MVP development services engagements behind them. Far fewer have made it to reliable, production-grade deployment. The discussion around MLOps solutions and AI readiness wasn’t abstract, it was people troubleshooting the same wall: how do you move from something impressive in a meeting to something that works every day, for thousands of users, without breaking? AI readiness assessment came up repeatedly as the missing first step most enterprises skip.
5. Language should never be the barrier to learning
Watching enterprise generative AI and real-time content localization tools in action was a quiet but significant moment. Generative AI platforms are now enabling world-class online professional development courses to reach non-English speaking regions instantly — without six-month localization projects. By combining learning content management with AI powered content creation, we are finally seeing the traditional barriers to global education come down.
What This Means for Higher Education
We didn’t attend ASU+GSV to collect lanyards. The conversations we had with academic leaders, and the gaps we spotted between institutional ambition and operational reality, are directly shaping how we work with universities today.
Whether you’re a Dean or Provost rethinking learning delivery at scale, a Chief Learning Officer under pressure to prove ROI, a Head of Content Strategy balancing rigour with speed, or a Chief Digital Officer driving your institution’s digital transformation strategy, the window to act is narrowing.
From AI readiness assessments to full-scale enterprise digital transformation, we translate ed-tech’s biggest ideas into solutions that work within your constraints.
If any of the above connects to a challenge you’re sitting with, let’s talk.