Growth mindset expert Diane Flynn shares insights and advice for a more experienced generation of workers who might feel somewhat hesitant to embrace the collaborative superpowers of GenAI.

Right now, in boardrooms and Slack channels across the globe, leaders are inadvertently creating a culture of AI shame. They're reinforcing the very hesitation they should be helping their teams overcome. It's time for an intervention.

The quality of our thinking is deeply influenced by the diversity of the inputs we collect. Implementing practices like Brian Grazer’s “Curiosity Conversations” ensures innovators are well-equipped with a variety of high-quality raw material for problem-solving.

The first question an innovator must answer is not “can I make it?” but rather, “should I?” This has become something of a mantra among CEOs I work with, as a needful protection against the gravitational pull of the organizational bureaucracy.

One of the defining contributions the d.school is helping teams ask themselves, “What kind of thinking is appropriate, when?” We call such clarity being “Mindful of Process.” And it can seem like semantics until you realize we need to show up in different ways.

You’re probably getting fat on AI content: bingeing podcasts, hoarding newsletter tips, saving Twitter threads... While it feels productive, all that consumption is just giving you a knowledge sugar high. And like any sugar high, it’ll crash—leaving you with exactly zero new capabilities.

The most inventive folks I’ve studied are disciplined about seeking inspiration. If you don’t make time to get out of the box, you will not be able to think out of the box, either. It’s not that complicated, but it requires you obliterate clean compartmentalization in favor of messy meandering.

While the winding road to innovation often only makes sense in retrospect, that doesn’t mean you can’t bend the odds. One of my favorite prospective strategies an organization can employ is the classic science fair... but you must approach it correctly.

NYU Chief AI Architect Conor Grennan makes a strong case for why GenAI shouldn't be an IT capability, but rather, championed by HR. He argues that the folks responsible for human behavior change need to be leading the charge.

In this special guest post, Mo Bunnell, Author of Give to Get, makes a compelling case for a counterintuitive strategy: giving gifts of your expertise as a way to build relationship and give clients a taste for your unique value proposition.

Sprints are a fantastic tool to drive innovation with efficiency. But sometimes you’ve got to be inefficient in order to create effectively. A few reflections on a troubling trend I'm seeing emerge among would-be innovation practitioners.

Undisputed "Beyond the Prompt" fan favorite Jenny Nicholson drops by to share some insights from her adventures helping folks innovate with AI. Important lessons for any leader looking to unleash their teams with this transformative technology.

Last week, I found myself in the bizarre position of attending a conference for YouTube creators. Talk about a fish out of water. Even though I didn't "belong" there, it sparked a bunch of fresh connections and insights... which is exactly the point of this post.

In the past year, I've witnessed a fascinating phenomenon across organizations embracing GenAI. Two "identical twins" in the AI race, similar in their approach to AI adoption -- engaged senior leadership, extensive training, numerous opportunities for AI integration -- whose outcomes couldn't be more different.

A funny thing happens when humans interact with AI—they start talking like robots. This is tragic. It's the very humanity that we often unwittingly withhold that guarantees lackluster output. To revolutionize your output with GenAI, revisit your own humanity.

Quick: come up with an innovative idea!

If you’re anything like the thousands of students I’ve coached in the last fifteen years, panic alarms just went off.

But the truth is, the creative process is hardly a mystery – in fact, it can be broken down into three simple steps.

Dr. Frederik Pferdt is Google’s original Chief Innovation Evangelist. Here, he shares an insight from his book, “What’s Next Is Now,” inspired by his adventures equipping hundreds of “Future Readies” at Google.

Most folks’ biggest mistake in collaborating with AI is expecting to get things perfect right out of the gate. But learning to use AI is just like any other motor skill: you’ve got to fall in order to create new neural pathways. Here, I share some insights on falling forward, productively.

Rather than waiting around for lightning to strike, take a more proactive approach. You can provoke your own imagination. One of the most effective, powerful, and fun tools we have created for such self-provocation missions is what we call “Analogous Exploration.”

It’s been 21 months since my book Ideaflow was published, and unexpectedly — catalyzed by the launch of ChatGPT just one month later — the period that many authors described as a victory-lap book tour was transformed into a front-row education in a thrilling new world, reshaping not just how I work, but how I think.