Market research used to take months and cost up to $50K. Now? AI delivers insights in hours, at a fraction of the cost.

Tools powered by machine learning and NLP can automate surveys, analyze sentiment, track competitors, and even predict future demand. Generative AI goes a step further, acting as a “research partner” to test ideas, simulate customer feedback, and generate reports instantly.

The impact is clear:

And what’s next? Autonomous AI agents, conversational analytics, and smarter content analysis are already changing how teams understand their markets.

Bottom line: AI isn’t replacing researchers — it’s amplifying them. The teams that combine AI speed with human strategy will win.

Learn more by checking out our blog.

From April 28–30, 2026, Fintech Week New York takes over The Penn District by Skylight, just steps from Madison Square Garden.

We’re proud to be co-producing this year’s experience with Fintech Is Femme and Fiat Growth, helping shape a space built for the people driving fintech forward.

Expect three days packed with founders, operators, investors, and global leaders coming together for real conversations, real connections, and real momentum.

If fintech is your world, you already know — this is the week to be in NYC.

Tickets are almost sold out! Secure your spot before they’re gone!

Alongside Storm2 (Ross Byrne), I’ll be hosting an invite-only dinner during Fintech Week New York. And this one’s a little different. No panels. No pitches. Just a handpicked room of fintech’s top operators CEOs, CROs, CMOs, and growth leaders from companies like BVNK, Trulioo, TabaPay, Ingo Money, and YouLend, gathered for real conversation.

The agenda? GTM strategy, growth in today’s market, and where fintech momentum is actually being built.

The format? Great food and the kind of dialogue that only happens when the right people are in the room.

Interested in attending? Request to join.

So, SAP and Google Cloud are teaming up to make marketing a lot smarter using AI. They're basically building these AI agents that can help marketing teams with a bunch of tasks. Which is fantastic. Think of it like having a super-smart assistant that can analyze customer data, figure out what people are likely to buy next, and even help craft marketing campaigns.

The interesting part is that these AI agents will work with SAP's marketing software and Google's AI tools, like their Gemini models. This means marketers can get insights faster, personalize their outreach better, and generally make their campaigns more effective. It's all about making marketing less of a guessing game and more data-driven. Pretty cool, right?

Alright, so let’s talk a bit about a challenge with AI in marketing right now. While AI can be super helpful for a lot of things, many marketers, as discussed in this Digiday article, are finding that when they use it for creative tasks, like generating copy or ideas, the output can sometimes be a little... predictable. It's like AI is giving them good, but not always groundbreaking, stuff.

The big problem is that if everyone is using AI, and it's all giving similar, safe answers, then brands might start to sound the same. Marketers are looking for ways to push AI to be more original, more "out there" with its ideas, so they can still stand out. They're trying to figure out how to guide AI to be truly creative, not just efficient. It's a tricky balance between using AI for speed and still keeping that unique human spark in marketing.

This week, Apple officially announced a major leadership transition. Tim Cook will step down as CEO and become Executive Chairman, and John Ternus,  the company’s Head of Hardware Engineering,  will take over as CEO starting September 1, 2026.

Cook isn’t handing the company to a career operator. He’s handing it to a builder. Ternus is the architect behind Apple’s modern hardware era — iPhone, iPad, AirPods, and the transition to Apple Silicon.

That’s not a coincidence. It’s a signal. The shift is already happening

Look at Satya Nadella at Microsoft.
Look at Jensen Huang at NVIDIA.

The companies shaping the next decade are increasingly led by people who understand the product at an infrastructure level.

No translation layer. No lag between problem and decision.

Now apply that to GTM. Most teams still treat go-to-market like art, intuition-driven, personality-dependent, and hard to scale.

But the companies actually compounding growth are doing something different:

They’re treating GTM like infrastructure.

It’s built in pieces, measured, documented, and constantly improved.
Your revenue motion isn’t one funnel -  it’s a set of distinct, testable systems. Every campaign is a hypothesis before it becomes a playbook.

If this shift is on your radar this year, now’s the time to lean in, happy to connect. Reply to this email.

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