Rethinking Go-to-Market in an AI-First World
At CMO Huddles Strategy Labs across the East Coast, Amanda Kahlow challenged marketing leaders to rethink go-to-market from scratch.
When Amanda Kahlow joined our recent CMO Huddles Strategy Labs, she started with: What would your go-to-market strategy look like if you started today, with AI at the center?
It’s a deceptively simple question. Yet it exposes something important: Most companies aren’t really rethinking go-to-market for AI. They’re simply layering AI into existing workflows.
AI is helping teams:
- Write better emails
- Summarize sales calls
- Generate marketing content
- Improve outbound messaging
Those are meaningful efficiency gains, but Kahlow argues they don’t fundamentally change the buying experience.
Kahlow, co-founder of 6sense and now CEO of 1mind, believes that’s where the real opportunity lies. She argues that AI isn’t just another layer in the MarTech Stack; it’s a chance to redesign the entire buying experience. Read on for a glimpse into her vision for the future of GTM.
Buyer Fatigue Is Breaking B2B Sales
During the Strategy Labs, Kahlow asked CMOs to imagine the buying journey from the customer’s perspective.
It typically looks something like this:
- A buyer researches a solution online or through AI search.
- They land on your website and dig through pages trying to find answers.
- They fill out a form to request more details.
- An SDR follows up to qualify them.
- The opportunity is handed off to an account executive.
- Later, a sales engineer joins to explain the product in detail.
- After purchase, the customer is handed off again to onboarding of customer success.
From inside to organization, this process feels structured and logical. But from the buyer’s perspective, it often feels slow, repetitive, and fragmented. Each handoff forces buyers to repeat themselves while internal teams rebuild context from scratch. By the end of the process, buyers have repeated their needs multiple times to multiple people.
Kahlow’s conclusion is blunt: The real problem in B2B go-to-market isn’t pipeline generation. It’s the fragmented buying experience companies have normalized.
What Most Companies Get Wrong About AI
Most companies, Kahlow argued, are approaching AI as a productivity layer rather than a redesign opportunity.
They use AI to:
- Write emails faster
- Summarize meetings
- Generate content
- Improve outbound messaging
Helpful? Absolutely. Transformational? Not necessarily.
“We’re attaching AI onto today’s systems and processes,” Kahlow explained during the Labs. “If you had a beginner’s mindset and started from scratch, what would you build?”
That question became a recurring theme throughout the discussions. The companies seeing the biggest long-term opportunity aren’t just automating tasks. They’re rethinking the entire buying experience.
Why the Traditional Buying Journey Breaks Down
Much of today’s sales structure exists because humans have limitations around time, memory, specialization, and scale.
Different roles specialize in different parts of the process:
- SDRs qualify leads
- AEs manage relationships
- Sales engineers handle technical discussions
- Customer success teams manage onboarding
But those divisions also create delays and context gaps. Every new person entering the process has to relearn the buyer’s situation. Meanwhile, buyers increasingly expect instant answers and immediate expertise.
AI changes the equation because AI systems don’t experience the same context-switching limitations humans do.
What an AI-First Go-To-Market Model Could Look Like
Kahlow believes AI can fundamentally reshape the go-to-market model.
Instead of routing buyers through a sequence of specialists, companies can create continuous, intelligent engagement throughout the buying journey.
Imagine a buyer arriving on your website and immediately interacting with an AI “superhuman” that can:
- Answer detailed product questions
- Deliver tailored demonstrations
- Recommend solutions based on the buyer’s needs
- Guide the buyer toward the next step in the process
Rather than waiting for a follow-up meeting, the buyer can access deep, branded expertise instantly.
Even more importantly, the conversation doesn’t reset every time a buyer moves from marketing to sales to onboarding. AI systems can retain context across interactions, allowing the buying experience to feel more like a continuous dialogue rather than a series of disconnected meetings.
Meet Mindy: The AI “Superhuman” in Action
Of course, the idea of collapsing multiple sales roles into a single intelligent experience can feel abstract—until you see it in action.
At the Strategy Labs, Kahlow demonstrated exactly that with Mindy, an AI “superhuman” built on the 1mind platform.
Mindy isn’t a chatbot in the traditional sense. She’s designed to act more like a fully capable member of the go-to-market team. During the live demo, Mindy interacted conversationally, answered questions about the product, and even pulled up relevant examples on command.
In a typical interaction, Mindy can:
- Greet visitors on a website and ask discovery questions
- Qualify buyers based on their needs and company context
- Deliver tailored product explanations
- Answer technical questions normally reserved for sales engineers
- Run (or co-run) product demonstrations
- Walk users through onboarding steps
What made the demo particularly striking wasn’t just what Mindy could do, it was how naturally the interaction flowed. Instead of navigating a website or scheduling a meeting, the audience watched a conversation unfold in real time.
That’s the experience Kahlow believes buyers increasingly expect.
Rather than navigating forms, handoffs, and scheduled calls, buyers can engage with a system that instantly understands their questions and responds with relevant expertise.
It’s a glimpse of what an AI-first buying experience might look like.
The Mindset Shift CMOs Need to Make
For marketing leaders, this shift is less about adopting tools and more about redesigning how buyers experience your company.
If AI removes many of the constraints that shaped traditional sales processes, then the logical next question becomes: What should the new go-to-market model actually look like?
That may mean rethinking:
- How inbound leads are handled
- How product education happens
- How expertise is delivered to buyers
- Where human expertise adds the most value
- How sales and customer success roles evolve over time
The companies that win in an AI-first world won’t simply optimize outdated funnels and fragmented handoffs. They’ll redesign the buying experience around speed, continuity, context, and buyer control.
About Amanda Kahlow
Amanda Kahlow is the founder and CEO of 1mind and the co-founder of 6sense. At the recent CMO Huddles Strategy Labs, she challenged B2B marketing leaders to rethink go-to-market from first principles in an AI-first world.
Her core message: The future of GTM isn’t about layering AI onto existing workflows. It’s about redesigning the buying experience around speed, continuity, context, and buyer control.
FAQs: AI and the Future of Go-to-Market
AI-first go-to-market refers to designing sales and marketing processes around AI-driven engagement rather than traditional human handoffs. Instead of routing buyers through multiple roles, AI systems can provide immediate answers, product demonstrations, and guidance throughout the buying journey.
Modern B2B buying processes often require buyers to interact with multiple people across marketing, sales, and customer success teams. Each interaction resets the conversation, creating friction and slowing down the buying process.
AI can provide instant responses, personalized guidance, and consistent context throughout the buyer journey. This reduces delays, eliminates repetitive conversations, and creates a more seamless buying experience.
Buyer fatigue refers to the frustration buyers experience when navigating slow, fragmented sales processes filled with repeated conversations, delayed follow-ups, and multiple handoffs between teams.