It feels like this is everything right now:
This is an edit by TechCrunch from this week’s Google developer conference. Some of the things they’re talking about in terms of use cases include:
- An AI assistant with Project Astra, which uses video you capture, and phone and voice recognition, to deliver contextual responses to your questions
- Gemini – Google’s LLM – which will summarise emails that are part of a longer email chains and a smart reply feature that will allow more contextualised replies after analysing your email conversations
- Circle to Search – you can look things up on Google without typing or taking screenshots – is being extended, along with an accessibility tool to announce descriptions of photos for those who are blind or have limited eyesight.
- Improved search using AI Overview to do things like creating a travel itinerary, and the ability to use video to solve problems
- Google Veo will create realistic, detailed 1080p videos based on your request.
- Imagen 3 will generate images based on text prompts
- Improvements to Google Wear making wearable tech more efficient and improve battery life.
Think about this from a learning perspective and the world will be very different.
Your colleagues won’t come to you to create content – they’ll do it for themselves.
They won’t come to you to find out what support they need – they’ll have tools do that for them.
They won’t want to know what’s new and different – that’ll be handed to them.
I wrote an article for Training Journal the other week which talked about the skills L&D need for AI entering the L&D space. Last week Don Taylor posted on LInkedIn about how he had been asked whether jobs in L&D will be lost by AI.
The answer, is of course, yes. We’re seeing the start of AI generated images, audio, and video and they are improving at pace. This means content creation in its form now will change – some would argue it has to and is already a diminishing skill and profession.
However, AI tools introduce a whole new raft of potential roles for the L&D profession. For example, we’ll see ethics and compliance roles appear as we try to make AI applications in L&D adhere to data privacy and algorithmic transparency.
We’ll see a range of integration specialist roles working to weave together the analogue, digital and AI together so new and existing technologies work together. This will include pathway designers, collaboration specialists and some VR and AR design.
Data analysis roles to provide insights into learner behaviours, preferences, and outcomes will be essential. We have BIG gaps in using and understanding data in L&D and we can’t improve learning strategies without this knowledge.
Lastly, I can see a shift in how L&D will work on the learning culture in organisations. Uncovering the nuggets of implicit knowledge which people have, and use to power their performance will need to be uncovered and shared.
What do you think? Are we at a tipping point in L&D? Let me know in the comments.
Lost and Desperate 