The previous prediction generator was good, but I thought it worth exploring different formats and experiences.
Click the cards to build a random prediction. You can click them over as many times as you like to continually generate new predictions.
Global digital marketing and communications leader
The previous prediction generator was good, but I thought it worth exploring different formats and experiences.
Click the cards to build a random prediction. You can click them over as many times as you like to continually generate new predictions.
Need some LinkedIn content? Want to make a prediction about all things marketing in 2025?
Let’s generate you something you can cut and paste to confidently sound like an expert.
Marketers are always talking about different generations, but how much do people really search for them and which is the most-searched generation?
I’ve plotted Google Trends data for Gen X, Millennials, and Gen Z.
Can you guess the trend?
It feels like GenAI is taking over the world. It is everywhere on LinkedIn—in automated comments, poor-quality AI-generated content, and incredibly high-value content like this.
I’m hearing from a lot of people that they’re worried they’re falling behind because they’re not using it day-to-day. My general reassurance is that given two weeks of regular use, you can overtake most people in GenAI usage.
Here are three practical things you can start doing today:
People do convenient things, so make GenAI convenient for you. Place it where you spend most of your time so you see it and it’s easy to select.
For most people, that means popping it on your phone’s Home Screen, placing it in your dock if you’re really keen, and pinning it as a tab in your browser on your laptop.
These simple things mean you’ll notice your preferred AI tool more often. Your usage will increase.
The point of the general AI assistants is to help boost your productivity. If you have a task that will take 30 minutes and spend an hour using AI to produce a poor first draft, you’ve prioritised the tool instead of the task.
If you’ve decided to build a custom GPT or workflow for this task, by all means go deep. Invest the time. The effort will pay off over time.
If you were trying to save time right now, something’s gone wrong.
Next time, fire up the GenAI and get your task started. If you don’t make good progress working five minutes, cut your losses and get back on task.
The search for quick wins includes the discovery of many quick losses.
As a rule of thumb, people are terrible at knowing what they want and even worse at expressing it. This is demonstrated by that classic piece of creative feedback: “I’ll know it when I see it.”
This human trait is a challenge when using GenAI. The less clear you are about the expected outcome, the less reliably sound the output will be. So, how can you overcome this challenge.
Try being clear about what you don’t want. Write a prompt that says, “I want this, and I do not want this.” This narrows down the range of possible good outputs without you having to go into granular detail about the exact output you’re looking for.
Try these three things over the next couple of weeks and I’m confident you’ll feel less behind, and realise you’re not behind at all.
I’ve been toying with a bit of data viz in my spare time. Three things came together to nudge me into publishing this:
So, here are the 20 most common journeys from four major hubs into London. Sorry if you come into Kings Cross or Euston or somewhere else. I had limited time to pull this together.
The chart is awful on mobile. Sorry. Again, see ‘limited time’ excuse.