The Track
A Section Blog
What happens when 1M people are really good at using AI?
What happens when 1M people are really good at using AI?
This week we made our AI coach ProfAI free for consumers to use, to build relevant, foundational AI skills. Our CEO Greg is taking over the newsletter this week to tell you why.
Most people are terrible at using AI [new data]
ICYMI, we released our latest report on the state of AI proficiency in the workforce this week. Greg is breaking down the key findings, and what they mean for you as an individual or a leader.
Which LLM is right for your privacy needs?
60% of the knowledge workforce limits their AI use because they’re worried about data privacy and security, according to our latest AI Proficiency Report. So we put together your definitive guide to LLM privacy.
100 POVs on AI from the world’s leading experts
We spoken to dozens of AI leaders, experts, and builders - here are their 100 best ideas.
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What is Web3 (and why should I care)?
Everything you need to know to talk about Web3 at your next cocktail hour.
The science-based secret to being more productive at work
Have you ever sat in a 9 a.m. meeting with your team and wondered why one person is jacked up on coffee and firing off ideas, and another person looks like they just woke up from a 100-year sleep?
You might think, “Well, the first person is just more productive. They’re good at their job, whereas Steve is a useless lump. Duh.”
But actually, it’s not that simple. These two people probably have different chronotypes – meaning they’re inclined to sleep, work, and recover at different times.
Why shadow AI is probably happening in your company
We surveyed over 5,000 knowledge workers in the second half of 2024 on AI knowledge, skill, and usage. One of the most troubling takeaways: AI use is happening, whether your company sanctions it or not, and the implications are huge.
Why most organizations aren’t ready to deploy AI
In September, we re-ran our AI Proficiency Survey to over 5,000 knowledge workers across the US, UK, and Canada. Our biggest takeaway: The knowledge workforce is vastly unprepared for an AI-augmented future.
