Beyond The Slop: The Future Of Go-To-Market AI Starts with Hyper-Manual Work

When every B2B team has access to the same AI tools, the outreach starts to sound the same. Generative content has saturated digital channels with templated messaging, and buyers have grown faster at filtering it out. The teams cutting through aren't necessarily the ones with better automation. They're the ones doing the manual work first, building the intuition that makes automation genuinely powerful when it's finally deployed.

That philosophy was on full display at the recent NVIDIA GTC, the company's flagship AI conference. With more than 450 sponsors competing for attention at what observers have called the "AI Superbowl," smaller brands relying on logos and booths had little chance of standing out. Hassan Ferozpurwala, Marketing Operations at Mem0, an AI memory infrastructure company, skipped the standard vendor stall and put his team on the floor instead, handing out 5,000 branded water bottles as a vehicle for face-to-face conversations.

His framework is straightforward: start every new channel manually, run enough volume to understand what works, and then scale it with automation. He sees AI as a genuine force multiplier, but only for teams that have already done the work to know what they are multiplying. "Relying on heavy AI slop won't get you the connection that's needed. At the end of the day, purchasers are still humans, and humans are emotional creatures and make decisions emotionally," says Ferozpurwala.

• Sweat before you scale: "When you're starting a new channel or doing an experiment, it should be heavily manual and personal. And then only once you've done enough volume, learned what works, and mastered the process will it be effective to automate," he explains. The risk of skipping straight to AI tools is that teams lose the ability to judge whether those tools are actually performing. Without having written the copy or run the outreach themselves, operators have no reliable baseline to assess whether an agent is driving real results or simply adding to the noise.

• Touch grass, write copy: "It's really important, as you're going from scratch, to do things manually. Get in the weeds. Write every single word yourself, reply to comments yourself, and do your own visuals. Once you start getting to volume, do 50 to 100 posts, and you'll automatically be able to figure out what needs to be automated," says Ferozpurwala. That logic applies across every channel. Volume builds the judgment that no automation can manufacture on its own.

The same saturation dynamic that hollowed out email inboxes is now working its way through in-person formats. Networking dinners, side events, and hackathons are no longer a differentiator, and for revenue teams treating physical tactics as a relief valve from digital noise, the bar for creativity and intentionality is rising just as fast.

• People over plastic: "The only way to cut through the noise is to be personal. You remember conversations. You remember people. And you remember things that are unique. The water bottles were just a means for attention and conversation. What really drove pipeline and demos was showing up and having those conversations," says Ferozpurwala. Conference attendees arrive with an agenda and naturally filter out everything else. No logo or booth placement breaks through that. A real conversation does.

• Skip the standard soiree: Unconventional physical plays only work when they are intentional, and the bar for what counts as unconventional is rising. Ferozpurwala looks for three things before committing to any in-person tactic: whether it actually reaches the target audience, whether it creates a genuine reason to connect, and whether it is compelling enough to travel on social media afterward. Without all three, a creative stunt is just an expensive one. "Every company is hosting networking events and hackathons. If your in-person strategy looks like everyone else's, you're not standing out. You have to now be creative and figure out how to be memorable," says Ferozpurwala.

• Funnel vision: Every growth experiment needs a number attached to it before it launches. Ferozpurwala maps the full expected funnel in advance, projecting drop-off from total impressions to QR scans to booked demos, then runs the LTV/CAC math to decide whether execution is worth it at all. "For any marketing campaign or growth hack, it's super important to define your metrics upfront. Define the outcome you're chasing. For example, 50 qualified demos. Then you can estimate the time, money, and probability of success to give you a much better decision framework. That's what differentiates experimentation from guesswork," says Ferozpurwala. After the event, actual scans and pipeline are measured against the original projection. If the numbers hit, they document why. If they fall short, they fix it before running it again.

The manual-first framework ultimately points toward a bigger shift in what it means to work in GTM. Once a team has earned the intuition through enough reps, automation stops being a shortcut and starts being the engine, and increasingly, the best revenue professionals are building those automations themselves. AI coding tools have lowered the barrier for non-engineers to design their own workflows, and Ferozpurwala says that GTM and sales teams not taking advantage are leaving serious productivity on the table. "It's super important for people to just get into the weeds and build themselves. If you're in a role like sales or GTM, be a builder as well. That's going to ten-x your productivity and change the way you think about problems."