We’re gonna see 10-person billion dollar (valuation) companies pretty soon. In my little group chat with my tech CEO friends, there’s this betting pool for the first year that there is a one-person billion-dollar company. Which would have been unimaginable without AI and now will happen.

I’ve been thinking about this quote from Sam Altman as companies launch AI agents (AI tools that do tasks on our behalf autonomously).

I do believe that a reimagined future always sounds impossible through the lens of today’s limits.

Because I’m curious, I asked AI some questions. See our conversation in the video below.

There are those predicting that the possibility of $B companies with only a few or no people will emerge.

If that happens, will there be enough people with buying power and trust to purchase from these companies? But perhaps the question is constrained by the thinking that the currency will continue to be money and trust. Maybe we need to reimagine what the currency might be. Your thoughts?

Could creativity become currency? If so, can you help me reimagine that? Please use a relatable example where we have a society using creativity as currency.

What if we use kindness as currency?

For as sci-fi as that all might sound, I suppose this is me trying to reimagine a world where AI benefits all of humanity. Of course, not everyone shares this vision and sometimes actions speak louder than words.

But that’s exactly why more of us need to lean in and share our voices. The future of AI is too important to leave to a few.

And as Ethan Mollick puts it perfectly,

It’s time to stop pretending that the world isn’t changing, and start taking control to get the future we want. We can’t predict which future we get, but we can try to steer towards a better one.

What “crazy” brainstorms have you had with AI? How did it go? What did you learn?

AI is Raising Customer Expectations: Why and How We Need to Unify Go-to-Market Workflows

AI is changing how customers expect to interact with businesses. In my latest newsletter, I share why breaking down silos across marketing, sales, and customer success has become important for delivering the seamless experiences customers want.

Key insights include:

• How AI is fundamentally changing buyer behavior and raising expectations for seamless experiences

• A practical framework for unifying teams across the customer journey using AI

• Real steps to build trust while innovating with AI: starting with transparency and customer control

Special thanks to Sanjay Kini, Wendy White, and Frank Nardi for sharing their valuable insights on connecting teams and delivering unified customer experiences.

The newsletter also includes a link to a 12-min AI podcast version for those who are auditory learners or simply prefer to listen to podcasts.

What’s your take on unifying teams with AI? How are you handling the shift in customer expectations? Would love to hear about your experiences and challenges in creating more connected customer journeys.

With last week’s launch of ChatGPT Search, I’m still trying to wrap my head around the differences between Perplexity and ChatGPT Search as they both reimagine our search experience online.

Since I haven’t found any official documentation from either company OR even a third-party analysis explaining exactly how their search works (or comparing the differences), I decided to do my own digging by asking their AIs directly!

Here’s what I did:

• Asked both ChatGPT and Perplexity to explain the differences

• Had Claude (doesn’t have a horse in the AI search race yet) rationalize their responses and create simple infographics explaining what they said

I can’t validate if these are actually correct as I asked AIs to explain themselves. But the image below shows the infographics from Claude.

However, I believe that it’s less about which is “better” because AI innovation keeps leapfrogging. Instead, it’s about understanding which tool fits which job.

Think about how our smartphones have evolved. In the past, we had to choose between different cameras for different needs, like a DSLR for high-quality photos or a point-and-shoot for convenience. Now, our phones automatically adjust settings to capture the best shot without us thinking about it. I believe AI is heading the same way.

Right now we’re actively choosing between tools, but eventually, we’ll just ask our question and the right AI model will handle it behind the scenes.

In the meantime, it’s tough to keep up with all this as users, but that’s the messy middle of innovation we’re living through!

Have you tried either of these new search experiences? What’s been your go-to use case for each? And has anyone come across any good third-party analysis of the differences?