How AI Influences the Sdr Role

AI compressed the SDR job into minutes. Did that make them less valuable? Opposite. But the playbook fundamentally changed. Old way: - Get a 50K contact list - Prospect via email, phone, LinkedIn New way: - Specialists own a channel - Systems run outbound across all of them Two moves for SDRs to stay ahead: 1. Go deeper on things AI can't touch Everyone's automating email now. That's exactly why picking up the phone is becoming rare- and valuable. Double down on: - Complex deal navigation - Building real relationships - Threading accounts (the stuff that actually takes judgment) 2. Learn the technical side of GTM Stop waiting for prospects to fall in your lap. Learn to use: Clay, Roverlead, FullEnrich, Common Room, lemlist, Instantly. The real edge: → Spotting high-intent signals across millions of data points → Scoring 1,000 high intent prospects in minutes instead of weeks → Running 10 simultaneous workflows without blinking The teams winning right now: GTM engineers building large-scale systems + SDRs closing on the phone. One side feeds clean, high-signal data. The other books the meeting. That's the 2026 playbook. How are you adapting in your org?

You just approved three new (human) junior sales reps. Meanwhile, AI agents are qualifying leads, personalizing outreach, and booking meetings at zero ramp time. They don't burn out after 200 cold calls or forget to update the CRM. So what exactly are you hiring for? If your answer is "we need pipeline," you're not wrong. But the uncomfortable part is : your junior reps are spending 70% of their time on tasks AI handles faster, more consistently, and at 1/5th the cost. - Three SDRs cost you $348K in Year 1 (base, OTE, onboarding, tooling, management overhead). - An AI SDR platform costs $46K-$75K. - Ramp time drops from 90 days to 1-2 weeks. - Performance? 3-5x the outreach volume with 80% faster response times. Even then, the real cost isn't the headcount - I think it clearly is the opportunity cost. Companies automating qualification and nurturing are redeploying their best junior talent to shadow closers, work mid-market accounts with AI support, and learn the strategic deal skills AI can't touch. They're shortening time-to-competence for future AEs. You're grinding yours on tasks a machine does better. If you're still scaling SDR headcount linearly with pipeline targets, you're building a cost structure your competition is engineering out. Worse, you're burning out the junior talent you'll need to close enterprise deals in 2027. The question isn't whether AI replaces your reps. It's whether you're wasting your best future closers on work they shouldn't be doing. Read the full breakdown:

AI changed the SDR role in 2025. What was taking hours, now takes minutes. Did that make SDRs any less valuable? I actually believe the opposite… But GTM teams need to adapt to this shift. The Old way: A) An SDR receives a list of target accounts. B) They reach out via email, phone & LinkedIn. The New way: A) Specialists own a channel B) Systems sync outbound across channels. What does this mean for SDRs? In my opinion, one of two things: 1. You double down on ‘human’ activities. AI isn’t coming for people who are great at cold calling just yet. In a world where you can automate everything, most will be looking for shortcuts. This means relatively fewer people hitting the phone. And here’s the opportunity. Along with spending more time on: - Working complex deals - Relationship building & multithreading A.k.a the things AI don’t do that well, and that your peers won’t want to do anymore. 2. You lean into the technical side of GTM You learn how to use AI & technologies like Apify, Clay, Relevance AI, Common Room, Instantly.ai, lemlist, Cursor, Claude Code. And you push AI & tech to its limits. Ask yourself in which areas does AI completely outperform humans. i.e: - AI can detect patterns across millions of data points. - AI can score & research 10,000 prospects in a few minutes. - AI can run 10s of workflows at the same time without tiring itself up. The best SDR teams have both: → GTM Engineers that build large scale prospecting systems & feed laser-accurate data to SDRs. → SDRs who book meetings via manual outreach & the phone. That’s what we see our clients with the best results to. That’s we implemented for $1B+ organisations. Curious, have you seen this shift in 2025?

The SDR role your manager trained you for doesn't exist anymore. And honestly? That's not a bad thing. The job used to be about volume. Dial more. Send more. Book more. The reps who won were the ones who could grind the hardest and stomach the most rejection. That playbook is dead (although volume still matters too). Buyers are more informed, more protected by filters and gatekeepers, and less patient than ever. The margin between a forgettable outreach and one that actually lands has never been thinner. This is where AI changes everything. The SDRs I'm seeing win right now aren't the ones working harder. They're the ones using tools like Claude to: Research a prospect's business in 2 minutes instead of 20 Reframe the same core message for 5 different buyer personas without starting from scratch Identify patterns in what's working and adjust faster than any manager's weekly review could AI doesn't replace the human part of the job. It compresses the time between insight and action. The reps who figure this out early are going to be the AEs, team leads, and revenue leaders of the next generation. The ones who don't? They're going to wonder why their pipeline dried up. As an SDR leader, my job isn't just to coach outreach anymore. It's to make sure my team knows how to think alongside AI, not compete with it. Something top of mind for me right now is getting sharp with all the AI tools and finding new ways to leverage it that is scalable. The role is evolving. The question is whether you're evolving with it.

I was wrong. AI is not going to "kill the SDR" anytime soon. In fact, here’s two specific use cases where AI actually makes the SDR 10x MORE valuable: 1. DATA HYGIENE Some reports say SDRs spend as much as 40% of their time updating bad data and contact information from the CRM. AI coupled with web-scraping tools can integrate databases and information sources to create a MUCH MORE accurate view of an individual and help ensure that SDRs are connecting directly to relevant contacts a higher % of time. Revenue leaders like Kyle Norton at Owner.com are adamant they want SDRs with as high a connect rate as possible and Owner is executing on that premise in an industry (restaurants) that has historically low connect rates.  And yet, the unit economics powering the Owner(.)com machine are powerful and even with an SMB sale, the business can have SDRs supporting AEs. 2. TRUE PERSONALIZATION AT SCALE Over the past 10 years, we’ve been sold the idea of “personalization at scale” from the revenue orchestration and sales engagement companies.  But we knew it wasn’t really possible.  Sending the same email to 10,000 people using a mail merge to add their name is NOT personalization at scale. It’s just spam. But today, using AI tools like Copy.ai, you can create truly personalized messages, leveraging your contact’s entire online presence to write compelling messages that go deeper than where your prospect went to college or what their favorite hobby is. In this world, SDRs are still needed to oversee and orchestrate the campaigns and, of course, to have useful and meaningful conversations with a prospect who engages.  TAKEAWAY: Contrary to what I've said the last few years, the SDR is still here and the role is still valuable.  AI doesn’t REPLACE SDRS. It make the best SDRs MORE PRODUCTIVE.  

Let me set the record straight on what AI should and shouldn't do for SDRs. AI should: – pull account research into one place – source the right contacts – find emails and phone numbers – surface first-party signals – bring in third-party data – summarize old calls and email exchanges – help draft copy – point reps toward good-fit accounts AI should not: – unilaterally decide which accounts get prioritized – send emails using first-pass generated copy – build any workflows on top of messy CRM data – treat every signal with the same weight – allow the rep to skip reading and absorbing account context – reduce the job to approving AI-generated sequences I think the best case scenario is that AI gives SDRs more room – and hours – to think. When we spend less time digging through account history, call notes, product activity, support questions and stale data… …we spend MORE time inside the nuances of our platform, understanding the account and getting sharper with buyers at higher and higher levels. The future SDR is much more than a prospector. With AI, they’re closer to a product expert, account strategist AND seller, all in one.

AI isn’t killing the SDR role. But it is doing to SDRs what Marketo did to campaign managers - who used to manually curate audiences and run email marketing. I wrote about this for Forbes, but the idea's been forming for a while. When marketing automation first showed up, a lot of people thought demand gen was dead. What really happened was simpler: the repetitive, mechanical parts got automated, and the bar for the role went up. No more manually pulling lists from CRMs or segmenting audiences by hand. The marketers who survived (and thrived) were the ones who could think strategically, understand the customer, and design systems. It was no longer just about running campaigns. The same thing is happening now with SDRs. AI is getting very good at the bottom of the funnel work: research, personalization, sequencing, follow-ups. I'd give AI an A+ for these tasks. That doesn’t eliminate the function. But it fundamentally changes where humans add value. In the article, I talk about how what's likely going to happen to SDRs: 𝗧𝗶𝗲𝗿 𝟭: The many who rely on high volume, repetitive drudgery will be forced to exit the field. 𝗧𝗶𝗲𝗿 𝟮: The top 20% will become generalist marketers with AI savviness. 𝗧𝗶𝗲𝗿 𝟯: The top 5% of SDRs will continue to handle high-ACV deals with the human touch. If you’re building sales teams, figuring out AI for marketing, or you’re an SDR thinking about where to invest in your own skill set, this shift is worth paying attention to. Link to the piece in comments if you’re interested.

We sent 4,495 AI SDR emails in 2 weeks and achieved the #1 response rate on our platform. But here's what nobody tells you about making AI SDRs actually work... The Metrics: ✅ 4,495 personalized messages sent in 14 days ✅ Highest response rate on our entire platform ✅ $700,000 of pipeline opportunities opened ✅ Meetings booked daily (literally got one this morning) ✅ Outperformed all our historical human SDR averages — mostly ✅ Better results than some of our human AEs The Reality Check First We had unfair advantages. SaaStr has been around since 2012, we've sold $100,000,000 in sponsorships, and people know our brand. We targeted our existing database—website visitors, past attendees, lapsed accounts—not cold lists. We spent 2 weeks doing basically nothing else: 90 minutes every morning, 1 hour every evening training our AI, plus real-time responses throughout the day. 👉What Actually Works: 1️⃣ Your AI has to add real value, not just volume There's no way we could send 4,495 good emails ourselves manually in two weeks. The key is each one has to be at the level we would write ourselves. Bad: "Hey [NAME], saw you visited our website" Good: "Congrats on your new VP role at Oracle. Since you attended SaaStr London last year, thought you'd want to know about our 2025 VC track with speakers from a16z and Sequoia..." 2️⃣ Your data is messier than you think We trained our AI on 20+ million words of SaaStr content, but still found: - Opportunities never logged in Salesforce - Missing context from AEs who never used the system - Customer relationships that existed nowhere in our CRM We literally spend time every day finding things that were missing and manually adding them to AI's knowledge base. 3️⃣ Human-in-the-loop isn't optional When prospects respond to your AI, YOU have to respond instantly at the same quality level. We have it hooked up to Slack—our phones go off at all hours because SaaStr is global. The AI creates an expectation of responsiveness. You better match it or they'll know it was "just an AI email." 5️⃣ This is additive, not replacement We still do personal emails, marketing campaigns, and have human SDRs. Results by campaign type: - Website visitors: Hit or miss - Cold outbound: Ranked 4th out of 4 campaigns - Lapsed renewal accounts: Really good results 🏋🏽♀️ The Uncomfortable Truth: It's MORE work, not less. You get 10x better output, but it requires S-tier human orchestration. E.g., we're running 30+ personas across different campaigns. 🔮 Bottom line: AI SDRs work incredibly well, but only with proper training and orchestration. After 60 days of daily improvements, you'll have something you're proud of. But you can't skip the daily 30-45 minute audit process. Full breakdown with all our tools and processes at link in comments.

I almost quit my SDR role 3 months in. That SDR role turned into a career coaching 50,000+ salespeople at Hubspot, Salesforce, and Snowflake. And right now companies are eliminating the exact role that built my entire career. I keep thinking about that. If my company had replaced the SDR team with AI back in 2016... there's no SDR Chronicles.... No training reps at the biggest companies in the world... No building what I'm building now at AMP Social. All of that grew from a role that most C-suite leaders now see as a line item to cut. Here's what I keep seeing... Leaders are going all in on AI SDRs... On paper the math looks great. Fewer salaries. and more "efficiency." I believe long term that is a losing strategy because now you have no humans in the loop. Think about it.. Every great AE on your team right now? Most of them started as SDRs. Your best sales manager? Started making cold calls. Your VP of Sales who actually knows how to build? They learned how to cut their teeth by sending cold emails. When we cut the SDR team we are not just cutting pipeline... We are cutting the farm system that develops our future leaders. Last time I checked.. we can't promote an AI SDR to a leadership role.. so who is going to lead the AI if no leaders are no longer present with the skills? We need humans who mastered the craft to make the AI work. Cut the humans and the AI has nothing to learn from... because it is only a mirror. I'm spending 80% of my time right now at AMP Social coaching B2B sales teams on exactly this in our 90 day outbound program Sales Team Six. How to connect the dots and spark conversations that no bot can replicate. Because when your rep sounds like a real human... buyers lean in. The companies investing in their people are going to be the real winners. SDRs aren't a cost to cut. They're the farm system for your entire revenue organization. Don't be the company running for the oxygen mask in 2027 because you cut off the pipeline in 2026

The AI SDR market is worth $4.12 billion right now (expected to reach $15 billion by 2030) And still, I hear this every week: “We tried AI SDRs, didn’t work.” I'm not surprised. Most of these tools take away control just to make the experience feel "simple". - You can't track much - You can’t test much - You can’t adjust targeting properly And that’s all fine if your ICP is tight and your offer already works 👍 But ... If you’re still figuring it out or trying to scale, these tools get in the way, and that's why they "don't work." I’ve seen this happen with teams using Artisan, 11x, others. They sign up Get stuck Churn. So what do we do now? What’s working for the top 1% GTM teams is a hybrid system. You let machines do what they’re good at: speed and scale. And keep the strategy, messaging, and signals with your team. 💡 AI Agents handle volume, data, and speed. 💬 Humans focus on trust, context, and Tier 1 conversations. Here's the stack we recommend for this hybrid system: - Clay to find and enrich leads - Humantic AI for buyer personality insights and personalization - Warmly, for signal-driven multichannel outreach - AI SDR tools like Artisan, 11x and Reply.io Partner for light AI outreach + follow-ups - Apollo / Cognism for source verified contact data - Lavender 💜🔮 www.ora.im / Warmer.ai for scalable, personalized email copy - Alta | AI Revenue Workforce for autonomous SDR-level automation (only for specific use cases) - Clari / Gong for analyzing calls and coaching reps - HubSpot / Salesforce to connect it all in the CRM #aisdrs #b2bsales #outbound #gtm