The Track
A Section Blog
Can you build a team of just AI tools?
How did Twitter's blue check mark go from status symbol to total embarrassment?
In less than six months, Twitter's blue check mark "verification" has gone from a status symbol for the rich and famous to a warning sign associated with Elon fanboys and trolls. We unpack what happened, using lessons in brand strategy and viral growth.
Which skills matter? Employees and L&D leaders don’t always agree [research]
Which skills matter in the modern workplace – to get promoted, to get ahead, to impact the business? It turns out that employees and learning leaders don’t always agree.
We recently surveyed 10,000 students and 250 learning leaders on the skills that are their biggest priority in 2023.
5 steps to pick a winning investment
Whether you’re the investor or the investee, the six-step Risk-Reward Framework can put you on the right path.
Can ChatGPT write a positioning strategy?
ChatGPT can do a lot of amazing things. So what happened when we put it into an MBA-level positioning course?
When to use a specialized AI tool vs. an LLM
If you’re hitting the limits of your LLM because you need more data or niche training, you’re likely doing a lot of high-end knowledge work – and that’s where specialized AI tools come into play.
We tested two Deep Research tools. One was unusable.
Two LLMs have released Deep Research features without much of a splash. So if you’ve been wondering about them (and don’t want to pay the $200/month price tag), read on for our Chief of Staff’s take on ChatGPT vs. Gemini.
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.
