Jun 13, 2024 · 39m · saastr

The Future of AI in Sales with Gong’s CEO and Co-Founder Amit Bendov

Amit Bendov · 25m spoken Jason Lemkin · 10m spoken
0:00 / 0:00
▶ Watch on YouTube →

gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this SaaStr conversation, Gong CEO and co-founder Amit Bendov joins Jason Lemkin to discuss how artificial intelligence is transforming enterprise sales, examining autonomous software economics, shifting seller roles, and SaaS market dynamics.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Jason holds 29.3% of the talking time here. How this is scored →

Jason as informed peer 4.6 Guest teaching 5.0 Guest disagreement 1.9 Jason pushing back 2.5
05100:0010:0020:0030:003:16–8:33 · Jason as informed peer 4/10 AI-Driven Sales Transformation and Role Convergence Lemkin probes into the future role of sales reps, exploring whether SDRs and CSMs will be eliminated. Bendov explains his thesis on role convergence and the shift away from hyper-specialization, drawing analogies to historic revolutions.8:33–12:27 · Jason as informed peer 4/10 AI Realities, Limitations, and Enterprise Buyer Expectations Lemkin asks about enterprise expectations versus technical reality in AI. Bendov reframes the technology realistically, noting LLMs rely on System 1 pattern matching rather than genuine reasoning and highlights real enterprise buying behavior.12:27–16:40 · Jason as informed peer 5/10 The Three Software Eras and Autonomous AI Economics Lemkin challenges Bendov on whether autonomous AI software fundamentally implies workforce headcount reduction. Bendov accepts the premise while contextualizing AI's value capture against payroll rather than traditional IT budgets across three software eras.16:41–20:33 · Jason as informed peer 6/10 2024 Market Realities and B2B SaaS Growth Dynamics Lemkin brings deep SaaS benchmarks, comparing public earnings and slowing growth rates at MongoDB, UiPath, and Salesforce to Canva. Bendov breaks down why massive base scales and acquisitions dilute growth percentages compared to early-stage platforms.20:34–26:58 · Jason as informed peer 5/10 Multi-Product Platform Strategy and Quality Standards Lemkin raises Rippling's compound startup model and asks whether multi-product suites must remain best-of-breed or settle for parity. Bendov explains Gong's Apple-like brand positioning, balancing core strengths while expanding product scope.26:59–32:00 · Jason as informed peer 4/10 Interface Evolution, Operational Consolidation, and Coopetition Lemkin asks about handling competitive friction and coopetition when Gong introduces products like Engage against existing partners. Bendov dismisses internal conflict concerns, asserting customer centricity and open integrations preserve long-term trust.32:00–36:56 · Jason as informed peer 6/10 Sales Rigor, Metric Accountability, and Economic Recovery Lemkin references Mark Benioff's assertion that teams require 3x pipeline coverage in current macro conditions. Bendov directly pushes back against Benioff's approach, arguing companies need higher deal conversion and sales rigor rather than bloating pipeline requirements.36:57–39:02 · Jason as informed peer 3/10 Gong's Product Roadmap and the Autonomous Selling Vision Lemkin sets up the wrap-up by asking for Gong's upcoming roadmap. Bendov shares real-world use cases of autonomous customer briefings and email drafting, highlighting how close they are to full autonomous selling.3:16–8:33 · Guest teaching 5/10 AI-Driven Sales Transformation and Role Convergence Lemkin probes into the future role of sales reps, exploring whether SDRs and CSMs will be eliminated. Bendov explains his thesis on role convergence and the shift away from hyper-specialization, drawing analogies to historic revolutions.8:33–12:27 · Guest teaching 6/10 AI Realities, Limitations, and Enterprise Buyer Expectations Lemkin asks about enterprise expectations versus technical reality in AI. Bendov reframes the technology realistically, noting LLMs rely on System 1 pattern matching rather than genuine reasoning and highlights real enterprise buying behavior.12:27–16:40 · Guest teaching 6/10 The Three Software Eras and Autonomous AI Economics Lemkin challenges Bendov on whether autonomous AI software fundamentally implies workforce headcount reduction. Bendov accepts the premise while contextualizing AI's value capture against payroll rather than traditional IT budgets across three software eras.16:41–20:33 · Guest teaching 5/10 2024 Market Realities and B2B SaaS Growth Dynamics Lemkin brings deep SaaS benchmarks, comparing public earnings and slowing growth rates at MongoDB, UiPath, and Salesforce to Canva. Bendov breaks down why massive base scales and acquisitions dilute growth percentages compared to early-stage platforms.20:34–26:58 · Guest teaching 5/10 Multi-Product Platform Strategy and Quality Standards Lemkin raises Rippling's compound startup model and asks whether multi-product suites must remain best-of-breed or settle for parity. Bendov explains Gong's Apple-like brand positioning, balancing core strengths while expanding product scope.26:59–32:00 · Guest teaching 4/10 Interface Evolution, Operational Consolidation, and Coopetition Lemkin asks about handling competitive friction and coopetition when Gong introduces products like Engage against existing partners. Bendov dismisses internal conflict concerns, asserting customer centricity and open integrations preserve long-term trust.32:00–36:56 · Guest teaching 6/10 Sales Rigor, Metric Accountability, and Economic Recovery Lemkin references Mark Benioff's assertion that teams require 3x pipeline coverage in current macro conditions. Bendov directly pushes back against Benioff's approach, arguing companies need higher deal conversion and sales rigor rather than bloating pipeline requirements.36:57–39:02 · Guest teaching 3/10 Gong's Product Roadmap and the Autonomous Selling Vision Lemkin sets up the wrap-up by asking for Gong's upcoming roadmap. Bendov shares real-world use cases of autonomous customer briefings and email drafting, highlighting how close they are to full autonomous selling.3:16–8:33 · Guest disagreement 1/10 AI-Driven Sales Transformation and Role Convergence Lemkin probes into the future role of sales reps, exploring whether SDRs and CSMs will be eliminated. Bendov explains his thesis on role convergence and the shift away from hyper-specialization, drawing analogies to historic revolutions.8:33–12:27 · Guest disagreement 2/10 AI Realities, Limitations, and Enterprise Buyer Expectations Lemkin asks about enterprise expectations versus technical reality in AI. Bendov reframes the technology realistically, noting LLMs rely on System 1 pattern matching rather than genuine reasoning and highlights real enterprise buying behavior.12:27–16:40 · Guest disagreement 2/10 The Three Software Eras and Autonomous AI Economics Lemkin challenges Bendov on whether autonomous AI software fundamentally implies workforce headcount reduction. Bendov accepts the premise while contextualizing AI's value capture against payroll rather than traditional IT budgets across three software eras.16:41–20:33 · Guest disagreement 2/10 2024 Market Realities and B2B SaaS Growth Dynamics Lemkin brings deep SaaS benchmarks, comparing public earnings and slowing growth rates at MongoDB, UiPath, and Salesforce to Canva. Bendov breaks down why massive base scales and acquisitions dilute growth percentages compared to early-stage platforms.20:34–26:58 · Guest disagreement 2/10 Multi-Product Platform Strategy and Quality Standards Lemkin raises Rippling's compound startup model and asks whether multi-product suites must remain best-of-breed or settle for parity. Bendov explains Gong's Apple-like brand positioning, balancing core strengths while expanding product scope.26:59–32:00 · Guest disagreement 2/10 Interface Evolution, Operational Consolidation, and Coopetition Lemkin asks about handling competitive friction and coopetition when Gong introduces products like Engage against existing partners. Bendov dismisses internal conflict concerns, asserting customer centricity and open integrations preserve long-term trust.32:00–36:56 · Guest disagreement 3/10 Sales Rigor, Metric Accountability, and Economic Recovery Lemkin references Mark Benioff's assertion that teams require 3x pipeline coverage in current macro conditions. Bendov directly pushes back against Benioff's approach, arguing companies need higher deal conversion and sales rigor rather than bloating pipeline requirements.36:57–39:02 · Guest disagreement 1/10 Gong's Product Roadmap and the Autonomous Selling Vision Lemkin sets up the wrap-up by asking for Gong's upcoming roadmap. Bendov shares real-world use cases of autonomous customer briefings and email drafting, highlighting how close they are to full autonomous selling.3:16–8:33 · Jason pushing back 2/10 AI-Driven Sales Transformation and Role Convergence Lemkin probes into the future role of sales reps, exploring whether SDRs and CSMs will be eliminated. Bendov explains his thesis on role convergence and the shift away from hyper-specialization, drawing analogies to historic revolutions.8:33–12:27 · Jason pushing back 2/10 AI Realities, Limitations, and Enterprise Buyer Expectations Lemkin asks about enterprise expectations versus technical reality in AI. Bendov reframes the technology realistically, noting LLMs rely on System 1 pattern matching rather than genuine reasoning and highlights real enterprise buying behavior.12:27–16:40 · Jason pushing back 4/10 The Three Software Eras and Autonomous AI Economics Lemkin challenges Bendov on whether autonomous AI software fundamentally implies workforce headcount reduction. Bendov accepts the premise while contextualizing AI's value capture against payroll rather than traditional IT budgets across three software eras.16:41–20:33 · Jason pushing back 3/10 2024 Market Realities and B2B SaaS Growth Dynamics Lemkin brings deep SaaS benchmarks, comparing public earnings and slowing growth rates at MongoDB, UiPath, and Salesforce to Canva. Bendov breaks down why massive base scales and acquisitions dilute growth percentages compared to early-stage platforms.20:34–26:58 · Jason pushing back 3/10 Multi-Product Platform Strategy and Quality Standards Lemkin raises Rippling's compound startup model and asks whether multi-product suites must remain best-of-breed or settle for parity. Bendov explains Gong's Apple-like brand positioning, balancing core strengths while expanding product scope.26:59–32:00 · Jason pushing back 3/10 Interface Evolution, Operational Consolidation, and Coopetition Lemkin asks about handling competitive friction and coopetition when Gong introduces products like Engage against existing partners. Bendov dismisses internal conflict concerns, asserting customer centricity and open integrations preserve long-term trust.32:00–36:56 · Jason pushing back 2/10 Sales Rigor, Metric Accountability, and Economic Recovery Lemkin references Mark Benioff's assertion that teams require 3x pipeline coverage in current macro conditions. Bendov directly pushes back against Benioff's approach, arguing companies need higher deal conversion and sales rigor rather than bloating pipeline requirements.36:57–39:02 · Jason pushing back 1/10 Gong's Product Roadmap and the Autonomous Selling Vision Lemkin sets up the wrap-up by asking for Gong's upcoming roadmap. Bendov shares real-world use cases of autonomous customer briefings and email drafting, highlighting how close they are to full autonomous selling.

speaking balance: gold is Jason, purple is the guest (3 minute bins)

0:00 · Jason 47.3% · guest 52.7%0:00 · Jason 47.3% · guest 52.7%3:00 · Jason 17.7% · guest 82.3%3:00 · Jason 17.7% · guest 82.3%6:00 · Jason 36.1% · guest 63.9%6:00 · Jason 36.1% · guest 63.9%9:00 · Jason 26.5% · guest 73.5%9:00 · Jason 26.5% · guest 73.5%12:00 · Jason 20.4% · guest 79.6%12:00 · Jason 20.4% · guest 79.6%15:00 · Jason 29% · guest 71%15:00 · Jason 29% · guest 71%18:00 · Jason 47.2% · guest 52.8%18:00 · Jason 47.2% · guest 52.8%21:00 · Jason 5.2% · guest 94.8%21:00 · Jason 5.2% · guest 94.8%24:00 · Jason 26.1% · guest 73.9%24:00 · Jason 26.1% · guest 73.9%27:00 · Jason 28.3% · guest 71.7%27:00 · Jason 28.3% · guest 71.7%30:00 · Jason 41.5% · guest 58.5%30:00 · Jason 41.5% · guest 58.5%33:00 · Jason 27.1% · guest 72.9%33:00 · Jason 27.1% · guest 72.9%36:00 · Jason 26.9% · guest 73.1%36:00 · Jason 26.9% · guest 73.1%39:00 · Jason 100% · guest 0%39:00 · Jason 100% · guest 0%
Sharpest disagreement ▶ 34:43 Bendov rejects Benioff's pipeline multiplier strategy

Bendov candidly dismisses Mark Benioff's 3x pipeline coverage rule, advising that sales teams should focus on execution rigor and conversion quality instead of dumping low-intent leads into the funnel.

Hardest push from Jason ▶ 15:44 Lemkin presses on software replacing headcount

Lemkin challenges Bendov's framing of AI tapping into payroll budgets, directly pressing that capturing 70% of employee task value inherently implies widespread headcount reduction.

Biggest teaching moment ▶ 9:35 Bendov demystifies generative AI intelligence

Bendov grounds enterprise AI expectations by explaining that current LLMs function as Kahneman's System 1 thinking, excelling at predictive generation while lacking true reasoning, planning, or comprehension.

Jason holds their own ▶ 18:50 Lemkin benchmarks growth divergence across SaaS titans

Lemkin brings deep domain knowledge to the table, contrasting Canva's high growth against MongoDB and Salesforce's single-digit deceleration to interrogate macro software buying shifts.

the scores for every segment, with the reasoning behind each
ChapterTopicJason as informed peerGuest teachingGuest disagreementJason pushing backWhy
AI-Driven Sales Transformation and Role Convergence 4512 Lemkin probes into the future role of sales reps, exploring whether SDRs and CSMs will be eliminated. Bendov explains his thesis on role convergence and the shift away from hyper-specialization, drawing analogies to historic revolutions.
AI Realities, Limitations, and Enterprise Buyer Expectations 4622 Lemkin asks about enterprise expectations versus technical reality in AI. Bendov reframes the technology realistically, noting LLMs rely on System 1 pattern matching rather than genuine reasoning and highlights real enterprise buying behavior.
The Three Software Eras and Autonomous AI Economics 5624 Lemkin challenges Bendov on whether autonomous AI software fundamentally implies workforce headcount reduction. Bendov accepts the premise while contextualizing AI's value capture against payroll rather than traditional IT budgets across three software eras.
2024 Market Realities and B2B SaaS Growth Dynamics 6523 Lemkin brings deep SaaS benchmarks, comparing public earnings and slowing growth rates at MongoDB, UiPath, and Salesforce to Canva. Bendov breaks down why massive base scales and acquisitions dilute growth percentages compared to early-stage platforms.
Multi-Product Platform Strategy and Quality Standards 5523 Lemkin raises Rippling's compound startup model and asks whether multi-product suites must remain best-of-breed or settle for parity. Bendov explains Gong's Apple-like brand positioning, balancing core strengths while expanding product scope.
Interface Evolution, Operational Consolidation, and Coopetition 4423 Lemkin asks about handling competitive friction and coopetition when Gong introduces products like Engage against existing partners. Bendov dismisses internal conflict concerns, asserting customer centricity and open integrations preserve long-term trust.
Sales Rigor, Metric Accountability, and Economic Recovery 6632 Lemkin references Mark Benioff's assertion that teams require 3x pipeline coverage in current macro conditions. Bendov directly pushes back against Benioff's approach, arguing companies need higher deal conversion and sales rigor rather than bloating pipeline requirements.
Gong's Product Roadmap and the Autonomous Selling Vision 3311 Lemkin sets up the wrap-up by asking for Gong's upcoming roadmap. Bendov shares real-world use cases of autonomous customer briefings and email drafting, highlighting how close they are to full autonomous selling.

Statements from this episode (15)

Assertion Not checkable as stated
Bendov: Gong struggled to raise early funding over investor AI skepticism
“Believe it or not, we struggled to raise money because people didn't believe in the idea that AI is going to be big one day.”
Amit Bendov Jun 13, 2024 ▶ 1:47
Insight
Bendov: Founders should build with current technology, not five-year bets
“As founders, I'll tell you, don't build something that might work in five years. You always need to say what works today.”
Amit Bendov Jun 13, 2024 ▶ 2:49
Assertion Supported
Bendov: Sales Reps Spend Roughly 75% of Time on Non-Selling Tasks
“Reps spend about 75% of their time on non-selling time. If you measure the hours that their customer facing, it's 25%, sometimes even less.”
Amit Bendov Jun 13, 2024 ▶ 3:38
Prediction Not checkable as stated
Bendov: AI will eliminate specialized sales roles like SDRs and CSMs
“The second, I think, is blending of a role. There'll be no more SDRs, CSMs, AEs, BDRs, XDRs, all of these. I see them converging into one role, essentially.”
Amit Bendov Jun 13, 2024 ▶ 4:05
Opinion
Bendov: AI agents do not currently work despite industry hype
“A lot of talk about agents right now that still don't work despite all the things I think that they will, but don't work. The autonomous engine, not, not quite yet, but.”
Amit Bendov Jun 13, 2024 ▶ 9:21
Insight
Bendov: Generative AI operates as System 1 thinking and is not smart
“Actually, the one thing most people don't understand is actually, it's not very smart. It's, if you've read kind of book like system one syncing system, Two thinking, right? So this is like AI generated value system one thinking, right? It's not, it doesn't re…”
Amit Bendov Jun 13, 2024 ▶ 9:49
Disclosure
Bendov: Gong avoided marketing AI initially to prevent scaring business buyers
“Actually it was like a, Second or a third degree level message in our marketing. We didn't want to talk about AI because it would scare the hell out of people. We sell to business users and we don't want to sound like too science fiction.”
Amit Bendov Jun 13, 2024 ▶ 10:50
Prediction Not checkable as stated
Bendov: Autonomous AI Will Dwarf Cloud by Capturing Payroll Budgets
“The third wave is autonomous application with AI, that's gonna dwarf everything, that it's gonna be like a much bigger than cloud, because it touches into payroll, right? It comes from a different budget. We're not quite there right, but think about if you go …”
Amit Bendov Jun 13, 2024 ▶ 15:07
Insight
Bendov: Slowing software acquisitions drag down parent company growth rates
“Some of these companies grew by acquisitions, right? That, that drives immediate growth, but then whatever you buy also has to grow in 20%, right? If they don't, then if you buy a company that's kind of slowed down, that actually, the weighted averages slows y…”
Amit Bendov Jun 13, 2024 ▶ 20:11
Opinion
Bendov: Most Startups Building Massive Multi-Product Platforms From Day One Fail
“I think that most of them have not succeeded. Now, this is a counter example, a very good one.”
Amit Bendov Jun 13, 2024 ▶ 22:50
Prediction Not checkable as stated
Bendov: Traditional software user interfaces will disappear and be replaced by speech
“If I'm right, it's going away because I'm gonna say it's all going to be like speech. I'm just going to talk. We're going to have a conversation. The apps are going to run in the background and AI will orchestrate. You can see somebody like Microsoft pilot. Th…”
Amit Bendov Jun 13, 2024 ▶ 28:16
Insight
Bendov: SaaS companies must assume their products lose differentiation every two years
“And I know that no matter what, and I always tell the employees like, every two years, we need to be a new company. We almost have to assume that our products are no longer differentiated, no longer matter. There'll be people that will copy whatever we have ar…”
Amit Bendov Jun 13, 2024 ▶ 29:43
Insight
Bendov: B2B buyers now purchase exact seat counts based on usage
“Now, there are more approvals in a cycle. The CFO would be interested, why should I spend money on this? So every dollar is like, ah, actually, the numbers we see orders, we have 37 seats. Right. Odd numbers, right? Not 50, right? 37. Oh, these people are not …”
Amit Bendov Jun 13, 2024 ▶ 33:03
Opinion
Bendov: Marc Benioff and Salesforce need better conversion, not 3x more pipeline
“Salesforce, by the way, doesn't need three X more pipeline. They need a better conversion. Just advice to Mark.”
Amit Bendov Jun 13, 2024 ▶ 34:42
Disclosure
Bendov: Generative AI now entirely drafts and sends his customer emails
“Today, I'm actually using it. I don't write customer emails anymore. The Gen AI is good, and I have a unique voice, so usually in the past when I used it, you'd say, ah, that's not good, I have to write it, or have my EA draft something, now I just, it's 90%, …”
Amit Bendov Jun 13, 2024 ▶ 37:46
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 episodes transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.