Nov 20, 2024 · 15m · a16z

"Death of a Salesforce”: Why AI Will Transform the Next Generation of Sales Tech

Steph Smith · 2m 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 episode of the a16z Enterprise podcast, host Steph Smith speaks with Joe Schmidt and Marc Andrusko about how AI is revolutionizing sales technology by automating traditional SDR functions and turning static CRMs into proactive, multimodal intelligence systems.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. The host holds 19.7% of the talking time here. How this is scored →

The host as informed peer 3.2 Guest teaching 3.4 Guest disagreement 0.6 The host pushing back 0.8
05100:0010:000:19–2:26 · The host as informed peer 1/10 Historical Evolution of Sales Technology and CRMs Steph introduces the topic broadly while the guest takes control to deliver an extensive historical timeline of sales technology from paper and Rolodex to Siebel and Salesforce. Steph listens passively as the guest establishes foundational context on cloud CRMs.2:26–6:12 · The host as informed peer 3/10 The Stickiness of Legacy Systems of Record Steph cites the provocative title of the guest's article and asks what disappears, prompting the guest to softly reject the premise that human sales itself will die. The guest reframes the disruption around automating tedious SDR tasks rather than eliminating core human sales processes.6:12–9:21 · The host as informed peer 5/10 Real-Time Voice Coaching and Scaled Personalization Steph actively enriches the conversation by offering an apt analogy comparing real-time AI voice coaching to autonomous vehicle training on aggregate collision data. The guest fully agrees and expands on the implications for personalized collateral.9:21–11:59 · The host as informed peer 3/10 Market Adoption of Intelligent Pipeline Agents Steph presses on a practical dilemma created by AI automation, asking how companies will train junior sales talent if entry-level SDR roles vanish. The guest acknowledges the dynamic and outlines how GTM roles will collapse and collaborate around shared customer outcomes.11:59–14:43 · The host as informed peer 4/10 Multimodal Systems of Record and Second Brains Steph synthesizes the shift from legacy reactive record-keeping to a proactive 'second brain' system that actively works for the user. The dynamic remains highly collaborative as the guest extends her framing to bridging product, engineering, and sales feedback loops.0:19–2:26 · Guest teaching 5/10 Historical Evolution of Sales Technology and CRMs Steph introduces the topic broadly while the guest takes control to deliver an extensive historical timeline of sales technology from paper and Rolodex to Siebel and Salesforce. Steph listens passively as the guest establishes foundational context on cloud CRMs.2:26–6:12 · Guest teaching 4/10 The Stickiness of Legacy Systems of Record Steph cites the provocative title of the guest's article and asks what disappears, prompting the guest to softly reject the premise that human sales itself will die. The guest reframes the disruption around automating tedious SDR tasks rather than eliminating core human sales processes.6:12–9:21 · Guest teaching 2/10 Real-Time Voice Coaching and Scaled Personalization Steph actively enriches the conversation by offering an apt analogy comparing real-time AI voice coaching to autonomous vehicle training on aggregate collision data. The guest fully agrees and expands on the implications for personalized collateral.9:21–11:59 · Guest teaching 3/10 Market Adoption of Intelligent Pipeline Agents Steph presses on a practical dilemma created by AI automation, asking how companies will train junior sales talent if entry-level SDR roles vanish. The guest acknowledges the dynamic and outlines how GTM roles will collapse and collaborate around shared customer outcomes.11:59–14:43 · Guest teaching 3/10 Multimodal Systems of Record and Second Brains Steph synthesizes the shift from legacy reactive record-keeping to a proactive 'second brain' system that actively works for the user. The dynamic remains highly collaborative as the guest extends her framing to bridging product, engineering, and sales feedback loops.0:19–2:26 · Guest disagreement 0/10 Historical Evolution of Sales Technology and CRMs Steph introduces the topic broadly while the guest takes control to deliver an extensive historical timeline of sales technology from paper and Rolodex to Siebel and Salesforce. Steph listens passively as the guest establishes foundational context on cloud CRMs.2:26–6:12 · Guest disagreement 2/10 The Stickiness of Legacy Systems of Record Steph cites the provocative title of the guest's article and asks what disappears, prompting the guest to softly reject the premise that human sales itself will die. The guest reframes the disruption around automating tedious SDR tasks rather than eliminating core human sales processes.6:12–9:21 · Guest disagreement 0/10 Real-Time Voice Coaching and Scaled Personalization Steph actively enriches the conversation by offering an apt analogy comparing real-time AI voice coaching to autonomous vehicle training on aggregate collision data. The guest fully agrees and expands on the implications for personalized collateral.9:21–11:59 · Guest disagreement 1/10 Market Adoption of Intelligent Pipeline Agents Steph presses on a practical dilemma created by AI automation, asking how companies will train junior sales talent if entry-level SDR roles vanish. The guest acknowledges the dynamic and outlines how GTM roles will collapse and collaborate around shared customer outcomes.11:59–14:43 · Guest disagreement 0/10 Multimodal Systems of Record and Second Brains Steph synthesizes the shift from legacy reactive record-keeping to a proactive 'second brain' system that actively works for the user. The dynamic remains highly collaborative as the guest extends her framing to bridging product, engineering, and sales feedback loops.0:19–2:26 · The host pushing back 0/10 Historical Evolution of Sales Technology and CRMs Steph introduces the topic broadly while the guest takes control to deliver an extensive historical timeline of sales technology from paper and Rolodex to Siebel and Salesforce. Steph listens passively as the guest establishes foundational context on cloud CRMs.2:26–6:12 · The host pushing back 2/10 The Stickiness of Legacy Systems of Record Steph cites the provocative title of the guest's article and asks what disappears, prompting the guest to softly reject the premise that human sales itself will die. The guest reframes the disruption around automating tedious SDR tasks rather than eliminating core human sales processes.6:12–9:21 · The host pushing back 0/10 Real-Time Voice Coaching and Scaled Personalization Steph actively enriches the conversation by offering an apt analogy comparing real-time AI voice coaching to autonomous vehicle training on aggregate collision data. The guest fully agrees and expands on the implications for personalized collateral.9:21–11:59 · The host pushing back 2/10 Market Adoption of Intelligent Pipeline Agents Steph presses on a practical dilemma created by AI automation, asking how companies will train junior sales talent if entry-level SDR roles vanish. The guest acknowledges the dynamic and outlines how GTM roles will collapse and collaborate around shared customer outcomes.11:59–14:43 · The host pushing back 0/10 Multimodal Systems of Record and Second Brains Steph synthesizes the shift from legacy reactive record-keeping to a proactive 'second brain' system that actively works for the user. The dynamic remains highly collaborative as the guest extends her framing to bridging product, engineering, and sales feedback loops.

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

0:00 · the host 15.7% · guest 84.3%0:00 · the host 15.7% · guest 84.3%3:00 · the host 12.1% · guest 87.9%3:00 · the host 12.1% · guest 87.9%6:00 · the host 27.2% · guest 72.8%6:00 · the host 27.2% · guest 72.8%9:00 · the host 18% · guest 82%9:00 · the host 18% · guest 82%12:00 · the host 25.8% · guest 74.2%12:00 · the host 25.8% · guest 74.2%15:00 · the host 0% · guest 0%15:00 · the host 0% · guest 0%
Sharpest disagreement ▶ 4:16 Guest reframes article title premise

The guest directly interrupts the narrative implied by the article's title, clarifying that sales itself isn't disappearing, only low-level qualification tasks.

Hardest push from the host ▶ 10:40 Steph challenges downstream consequences of SDR automation

Steph presses the guest on a logical flaw in removing entry-level roles, asking how sales teams will actually train young talent without junior SDR positions.

Biggest teaching moment ▶ 0:34 Guest educates host on CRM history

The guest provides an unprompted masterclass tracing sales recording mechanisms from prehistoric trade and 1950s Rolodexes to 1980s Act, Siebel systems, and cloud-native Salesforce.

The host holds their own ▶ 7:05 Steph introduces autonomous vehicle model analogy

Steph demonstrates keen conceptual grasp by independently introducing a parallel to autonomous vehicle training datasets to explain how voice coaching AI works.

the scores for every segment, with the reasoning behind each
ChapterTopicThe host as informed peerGuest teachingGuest disagreementThe host pushing backWhy
Historical Evolution of Sales Technology and CRMs 1500 Steph introduces the topic broadly while the guest takes control to deliver an extensive historical timeline of sales technology from paper and Rolodex to Siebel and Salesforce. Steph listens passively as the guest establishes foundational context on cloud CRMs.
The Stickiness of Legacy Systems of Record 3422 Steph cites the provocative title of the guest's article and asks what disappears, prompting the guest to softly reject the premise that human sales itself will die. The guest reframes the disruption around automating tedious SDR tasks rather than eliminating core human sales processes.
Real-Time Voice Coaching and Scaled Personalization 5200 Steph actively enriches the conversation by offering an apt analogy comparing real-time AI voice coaching to autonomous vehicle training on aggregate collision data. The guest fully agrees and expands on the implications for personalized collateral.
Market Adoption of Intelligent Pipeline Agents 3312 Steph presses on a practical dilemma created by AI automation, asking how companies will train junior sales talent if entry-level SDR roles vanish. The guest acknowledges the dynamic and outlines how GTM roles will collapse and collaborate around shared customer outcomes.
Multimodal Systems of Record and Second Brains 4300 Steph synthesizes the shift from legacy reactive record-keeping to a proactive 'second brain' system that actively works for the user. The dynamic remains highly collaborative as the guest extends her framing to bridging product, engineering, and sales feedback loops.

Statements from this episode (8)

Insight
Schmidt: AI-native systems will bypass legacy CRMs by capturing data directly
“Instead of a human being sitting out at their computer and entering something in, we now can have basically AI always on and recording that conversation in real time Or frankly, having that conversation. And so you start to think about all of the legacy system…”
Joe Schmidt Nov 20, 2024 ▶ 1:59
Insight
Andrusko: Systems of record maintain massive moats by holding source-of-truth data
“It's because historically systems of record have benefited from tremendous moats and that they are really hard to rip out. And the reason they're really hard to rip out is they have like the source of truth data about some of your most important parts of your …”
Marc Andrusko Nov 20, 2024 ▶ 2:46
Prediction Not checkable as stated
Schmidt: AI will not replace high-quality enterprise sales processes or human elements
“AI is not going to replace like a very high quality sales process. Like you need to figure out who your customer is. You need to figure out what they want and you need to build the best product and the right process around that to be effective. And so like tha…”
Joe Schmidt Nov 20, 2024 ▶ 4:26
Prediction Not checkable as stated
Schmidt: AI automation will eliminate traditional SDR early-stage prospecting roles
“We're starting to see that process, like basically disappear with certain customers, which is really, really exciting. And frankly, like frees up humans to do the things that they're best at, which is like sell. Right. And so I think we're gonna see things lik…”
Joe Schmidt Nov 20, 2024 ▶ 5:54
Assertion Supported
Andrusko: AI voice agents can offer real-time live coaching to sales reps
“Like you can now be getting live coaching from an AI voice agent that is trained on, you know, all of the data that you have seen from prospects and from existing customers. And as you know, your prospect is objecting to something, it kind of inserts the right…”
Marc Andrusko Nov 20, 2024 ▶ 6:41
Opinion
Schmidt: Well-trained AI agents match or outperform hungover human SDRs
“There is almost no difference. Oftentimes between a very well-trained kind of AI agent and a very poorly trained, a 22 year old who's hungover from the night before sitting in a crowded sales floor. And oftentimes you're gonna get much more like you're gonna g…”
Joe Schmidt Nov 20, 2024 ▶ 10:01
Assertion Not checkable as stated
Schmidt: The market shows unprecedented demand for AI intelligent pipeline tools
“There's insatiable demand right now in demand. And frankly, in which I've never really seen for products in that intelligent pipeline layer.”
Joe Schmidt Nov 20, 2024 ▶ 10:32
Prediction Not checkable as stated
Andrusko: AI will blur traditional go-to-market silos and unify sales compensation
“Like, I think these teams are just going to be able to work much more closely together and out of the same shared system. And I think they can even be comped together. Like everyone can just kind of reorient around the thing that matters, which is doing right …”
Marc Andrusko Nov 20, 2024 ▶ 11:31
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 1,000 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.