The future of GTM: From machines to humans

For years, GTM was about people doing the work: Researching prospects. Sending cold emails Following up. Repeating the cycle. But today, AI agents are rewriting the playbook. They don’t just automate tasks. They redefine how modern GTM can scale. Here’s where we see the biggest impact 👇 1️⃣ Scalability without burnout Instead of adding headcount, AI agents handle repetitive, high-volume tasks freeing humans to focus on strategic conversations and complex deals. 2️⃣ Personalization at scale Every message, every touchpoint, every follow-up can be tailored to the individual prospect, something no SDR team could achieve manually. 3️⃣ Speed + relevance as a growth lever AI agents react to signals instantly. They don’t wait until “the next call block.” That makes your GTM motion not just efficient, but real-time. The question for leaders isn’t whether to adopt AI agents. It’s how fast you can design systems around them before competitors pull ahead. That’s exactly what I will cover at ARRtist in Berlin: 👉 How AI-Agents Transform Modern GTM Strategies We’ll break down practical frameworks you can apply right now to: ✔ Automate what sales & marketing teams used to do manually ✔ Achieve personalization, relevancy & speed no human could match ✔ Build systems that unlock unseen efficiency and drive growth 📅 October 9, 2025 ⏰ 15:30 – 15:50 📍 Stage 2 Starting today, the ARRtist networking platform is live. You can: 1️⃣ Connect with me directly and book a meeting at ARRtist 2️⃣ Sign up for our Masterclass (first come, first served) AI agents aren’t replacing GTM teams. They’re augmenting them. The leaders who embrace that shift will define the next decade of growth. Find the link to sign up for my Masterclass below ⬇️

Incrementalism is dead. For decades, GTM has been about input ➡️ output: put a dollar in, get more than a dollar out. Every new tool promised small, predictable gains. A faster way to book a meeting. A sharper forecast. A few points off the win-rate gap. That era is over. Agentic AI is a reset. It doesn’t just flag intent, it acts on it. It doesn’t suggest next steps, it takes them. And that means revenue leaders face a new mandate to transform the entire system. I share my perspective on what this transformation looks like — and why the future of revenue will belong to those bold enough to reimagine it. Read the full piece here 👇 https://lnkd.in/gtxiTvtd

The hardest part of ABM isn’t starting. It’s what comes after. Launching a pilot is exciting. ↳Accounts are selected ↳Plays are designed ↳Sales is engaged But then reality sets in. ↳Is our ABM model scalable? ↳What does “mature ABM” really look like? ↳Are we measuring the right growth metrics? ↳Can AI help us scale without losing the human touch? ↳How do we bring Sales and Marketing fully into alignment? ↳How do get more efficient and make ABM less burdensome? These are the questions that stall programs. And they’re exactly why we created the ABM Masterclass. https://hubs.la/Q03rr3j_0 A free in-company workshop for enterprise teams ready to go beyond pilot mode. What we cover: ↳Using our Maturity Framework to audit your program ↳What an ABM Center of Excellence actually looks like ↳How to reframe ABM across the full customer lifecycle ↳Practical ways AI can accelerate - not replace - your ABM It’s hands-on. ↳It’s built around your accounts ↳It’s built around your team ↳It’s built around your goals Grab your slot. Bring your team. Let’s scale ABM together: https://hubs.la/Q03rr3j_0 What one thing is the biggest "staller" of ABM?

Since announcing our round last week, one question keeps coming up: 👉 “What does human-guided, AI-amplified GTM actually mean?” Here’s the truth: AI in GTM isn’t new. Sequencing. Automation. Lead scoring. We’ve had it in sales stacks for years. The problem? Most of it was built to replace thought not enhance it. So GTM teams ended up buried in disconnected tools that promised efficiency but killed effectiveness. With Optik, we see it differently: Human-guided → The DNA of our platform from playbooks to workflows to design comes from GTM leaders who’ve lived it. It’s shaped by real expertise so your team stays in control, asks better questions, builds stronger relationships, and gets involved in the doing not just autopilot. AI-amplified → AI then cuts through the noise, unifies the workflow across prospecting, outreach, and CRM, and delivers clarity at scale. The best GTM has always been a mix of art + science. The art is human. The science is AI. Together → teams stop guessing and start executing with confidence. Peter Drucker said it best: “Efficiency is doing things right; effectiveness is doing the right things.” AI brings the efficiency. Humans bring the effectiveness. Unification brings both together. That’s human-guided, AI-amplified GTM. That’s Optik AI. ☝️ #GTM #SalesEnablement #AIGTM #OptikAi #B2Bsales

Your competitors are closing deals 40% faster with AI. Here's what they won't tell you. Six months ago, I started helping companies implement AI automation. After working with 50+ teams, I noticed something: the winners all do three things differently. They pick one thing first. → One broken process. One frustrated team. One number to track. They track everything relentlessly. → Minutes saved per task. Dollars spent per lead. Days to close deals. They bring their people into the conversation early. → No Monday morning surprises. No "adapt or leave" ultimatums. Just honest collaboration. The companies that fail? They try to automate their entire business overnight. Smart automation actually looks boring: Sales: AI handles lead qualification, reps build relationships Marketing: Tests run themselves and actually learn what works Operations: Systems predict failures before they happen Support: Patterns emerge from chaos across thousands of tickets Last month, a SaaS company automated just their lead scoring. Their reps gained 3 hours daily for actual selling. Revenue jumped 28% in four months. AI automation isn't about replacing your people. It's about giving your best performers superpowers. Pick one process that drives everyone crazy. Fix it. Count what changes. Then move to the next one. Look at your calendar today. What task burns the most time? Start there. #AIAutomation #SalesProductivity #BusinessGrowth #StartupStrategy #DigitalTransformation #B2BSales #Leadership

Battery Ventures landed in Austin earlier this week for our 3rd AI in the GTM dinner. We had 15 great CRO's join us, with LOTS of insights (and some monstrous steaks! 🥩 ) · AI is reshaping GTM: the people who master AI will outperform—especially in account planning, prep, and ramp. · Best early wins are rep-centric: automate inbound, meeting prep, and research; use call analysis to coach; simulate meetings with role-specific bots to build “muscle memory.” · Account planning is the hub: train models on templates and company intel to generate plans, industry context, objections, and discovery paths—then have reps validate to internalize. · Data is the moat: consolidate emails, calls, product usage, and CRM into a clean “golden dataset,” then build lightweight workflows (e.g., Airtable) and scoring to guide actions. · Executive leverage: use AI to draft board decks/talk tracks, anticipate board questions, and “red-team” strategies; integrate AI into daily tools to automate routine work. · Roles are evolving: RevOps becomes a product manager for sales processes; new GTM engineer/AI-builder roles emerge; first-line leaders use AI to improve hiring, forecasting, and coaching. · Go-to-market motions bifurcate: automation and agents drive transactional sales, while enterprise ABM still relies on high-touch relationships—AI augments expertise in live calls. · CSM shifts from relationship to value: analyze signals to predict success/health, align to customer outcomes, and deploy FDU-style prototyping roles selectively or as services. · Program design matters: start with use cases and redesigned processes, then add AI; encourage bottom-up bot experimentation, harden what’s adopted, and enforce consistent methodology. · Key risks & open questions: data security and trust, measuring ROI, preventing rep “laziness,” in-person data gaps, tool/platform bets, displacement of entry-level roles, and the long-term balance between human sellers and AI agents.

Excellent insight in the age of AI how RevOps teams are evolving.  My favorite : · Roles are evolving: RevOps becomes a product manager for sales processes; new GTM engineer/AI-builder roles emerge; first-line leaders use AI to improve hiring, forecasting, and coaching

This is a great list of AI use cases for the real world, specifically for marketers and GTM pros. RevOps and sales application, and a bunch of really good ideas. Thanks Bill Binch for sharing!

RevOps will be one of the most important roles in the agentic era. They are not just enabling GTM teams with the right tools. They are the architects of autonomous flows that allow lean sales teams to achieve scale and deliver measurable impact on the revenue pipeline. Architecting revenue systems with agentic workflows will soon be a must-have for every org that wants predictable growth. I will be posting a series of Under the Hood articles on the key concepts RevOps leaders need to master in this shift. Topics will include context engineering, using reasoning models effectively, and designing agentic workflows that create systems of intelligence instead of scattered point solutions. If you want to stay at the forefront of how sales will be run in the agentic era, connect with me and follow Dhisana AI . RevOps is not the sidekick. They are the kingmakers of the next generation GTM.

📈 Why do GTM plans stall? Because teams confuse activity with strategy. The Growth Engine is clear: 1️⃣ Analysis → sharp ICP, real customer pain, positioning that stands out 2️⃣ Strategy → channels that scale, pricing tied to value, ruthless focus 3️⃣ Execution → KPIs, early signals, constant adjustments 👉 Without this, you burn cash. 👉 With this, growth becomes predictable. ⚡ Prosperity AI makes it real: AI diagnostics, ROI-driven roadmap, measurable results. 🔗 www.prosperityai.ai ~~||~~~