Dec 9, 2024 · 41m · news

Marc Benioff, Salesforce Founder: Why Salesforce Isn't Hiring Software Engineers | E1236 · 20VC with Harry Stebbings

Marc Benioff · 32m spoken Harry Stebbings · 5m spoken
0:00 / 0:00
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gold bands on the timeline = statements, start to end. Hover to read, click to jump. CC turns on captions

In this episode of the 20VC podcast, Salesforce founder and CEO Marc Benioff discusses the company's bold pivot to autonomous AI with AgentForce, explaining how 'digital labor' will reshape SaaS pricing, software engineering talent, and overall workforce dynamics.

How this conversation actually went

Every chapter scored 0–10 on four independent dynamics. Hover any point for the reasoning behind the score. Harry holds 15.1% of the talking time here. How this is scored →

Harry as informed peer 4.0 Guest teaching 5.2 Guest disagreement 2.4 Harry pushing back 3.4
05100:0015:0030:000:45–3:16 · Harry as informed peer 3/10 Welcome & Navigating the Podcast Landscape Light banter opening the show focused on podcast mechanics and Benioff's studio setup. Stebbings offers short advice on balancing story art with consumer learning based on his podcast experience.3:16–7:34 · Harry as informed peer 3/10 "No Mud, No Lotus" — Mindfulness and Shoshin Benioff explains his 'no mud, no lotus' philosophy stemming from Thich Nhat Hanh and connects it to Salesforce's financial recovery over the last two years. Stebbings pivots to ask why skeptics doubt Salesforce's role in the next generation of AI.7:34–10:53 · Harry as informed peer 6/10 AgentForce Scale & Heathrow Case Study Stebbings challenges Benioff on whether failing to own the agentic layer reduces Salesforce to a commoditized database. Benioff responds by detailing Salesforce's unified single-code architecture across 230 petabytes of data and metadata.10:53–13:40 · Harry as informed peer 4/10 The Launch of Digital Labor & Headcount Rebalancing Benioff introduces the concept of digital labor and explains freeze on software engineer hiring due to 30% AI productivity gains. Stebbings asks direct questions regarding headcount trajectory over five years and SaaS pricing transitions.13:40–17:18 · Harry as informed peer 5/10 The Commoditization of LLMs Stebbings quotes Benioff's prior assertion about LLMs hitting upper limits. Benioff contextualizes this within AI's historical 60-year maturation cycles, pointing to current commoditization.17:18–19:36 · Harry as informed peer 5/10 Picking a Niche: Generic AI vs. Specialized Verticals Stebbings asks a forced-choice question on investing in OpenAI, Anthropic, or xAI. Benioff explicitly rejects the premise, stating he wouldn't invest in any of them because generic models are commoditizing in favor of vertical specialization.19:36–21:49 · Harry as informed peer 6/10 Rebalancing vs. Layoffs: Workforce Dynamics in the AI Era When Benioff describes shifting support staff to sales as 'rebalancing,' Stebbings pushes back directly, questioning if it is simply blunt cost removal for higher margins. Benioff defends layoffs as a necessary CEO tool for corporate restructuring.21:49–24:54 · Harry as informed peer 3/10 Steve Jobs' Advice and the Power of Singular Focus Benioff recounts a personal story about Steve Jobs teaching him the necessity of singular focus, which inspired his decision to focus exclusively on AgentForce. Stebbings asks how this hyper-focus affects morale across other product teams.24:54–28:50 · Harry as informed peer 2/10 The Last-Minute Dreamforce Pivot Benioff details pivoting the entire Dreamforce keynote narrative two weeks prior to the event after receiving early customer feedback on AgentForce. Stebbings listens as Benioff reflects on cultivating a beginner's mind.28:50–33:22 · Harry as informed peer 4/10 Exhaustion, Leadership, and leaving it on the Field Stebbings quotes Jensen Huang on the extreme difficulty of building tech giants. Benioff outlines the history of NVIDIA's chief scientist David Kirk and Jensen's early 2013 pivot into deep learning.33:22–36:36 · Harry as informed peer 4/10 Censorship, Twitter, and App Store Dreams Stebbings brings up Marc Andreessen's claims on Joe Rogan about government coercion in big tech. Benioff shares surprise at those claims and explains his original motivation to buy Twitter was as an application platform inspired by Apple's HyperCard.36:36–39:46 · Harry as informed peer 5/10 Elon, DOGE, and Fiscal Responsibility Stebbings conducts a quickfire round covering fiscal responsibility, luxury brands, and AGI timelines. Benioff dismisses Sam Altman's prediction of reaching AGI in 2025, forecasting instead the complete commoditization of LLMs.39:46–41:17 · Harry as informed peer 2/10 The Unasked Question: Business as a Platform for Good When asked what question he is rarely asked, Benioff highlights Salesforce's 1-1-1 philanthropic model and advocates for business as a platform for social change.0:45–3:16 · Guest teaching 2/10 Welcome & Navigating the Podcast Landscape Light banter opening the show focused on podcast mechanics and Benioff's studio setup. Stebbings offers short advice on balancing story art with consumer learning based on his podcast experience.3:16–7:34 · Guest teaching 5/10 "No Mud, No Lotus" — Mindfulness and Shoshin Benioff explains his 'no mud, no lotus' philosophy stemming from Thich Nhat Hanh and connects it to Salesforce's financial recovery over the last two years. Stebbings pivots to ask why skeptics doubt Salesforce's role in the next generation of AI.7:34–10:53 · Guest teaching 6/10 AgentForce Scale & Heathrow Case Study Stebbings challenges Benioff on whether failing to own the agentic layer reduces Salesforce to a commoditized database. Benioff responds by detailing Salesforce's unified single-code architecture across 230 petabytes of data and metadata.10:53–13:40 · Guest teaching 5/10 The Launch of Digital Labor & Headcount Rebalancing Benioff introduces the concept of digital labor and explains freeze on software engineer hiring due to 30% AI productivity gains. Stebbings asks direct questions regarding headcount trajectory over five years and SaaS pricing transitions.13:40–17:18 · Guest teaching 5/10 The Commoditization of LLMs Stebbings quotes Benioff's prior assertion about LLMs hitting upper limits. Benioff contextualizes this within AI's historical 60-year maturation cycles, pointing to current commoditization.17:18–19:36 · Guest teaching 6/10 Picking a Niche: Generic AI vs. Specialized Verticals Stebbings asks a forced-choice question on investing in OpenAI, Anthropic, or xAI. Benioff explicitly rejects the premise, stating he wouldn't invest in any of them because generic models are commoditizing in favor of vertical specialization.19:36–21:49 · Guest teaching 5/10 Rebalancing vs. Layoffs: Workforce Dynamics in the AI Era When Benioff describes shifting support staff to sales as 'rebalancing,' Stebbings pushes back directly, questioning if it is simply blunt cost removal for higher margins. Benioff defends layoffs as a necessary CEO tool for corporate restructuring.21:49–24:54 · Guest teaching 6/10 Steve Jobs' Advice and the Power of Singular Focus Benioff recounts a personal story about Steve Jobs teaching him the necessity of singular focus, which inspired his decision to focus exclusively on AgentForce. Stebbings asks how this hyper-focus affects morale across other product teams.24:54–28:50 · Guest teaching 5/10 The Last-Minute Dreamforce Pivot Benioff details pivoting the entire Dreamforce keynote narrative two weeks prior to the event after receiving early customer feedback on AgentForce. Stebbings listens as Benioff reflects on cultivating a beginner's mind.28:50–33:22 · Guest teaching 7/10 Exhaustion, Leadership, and leaving it on the Field Stebbings quotes Jensen Huang on the extreme difficulty of building tech giants. Benioff outlines the history of NVIDIA's chief scientist David Kirk and Jensen's early 2013 pivot into deep learning.33:22–36:36 · Guest teaching 5/10 Censorship, Twitter, and App Store Dreams Stebbings brings up Marc Andreessen's claims on Joe Rogan about government coercion in big tech. Benioff shares surprise at those claims and explains his original motivation to buy Twitter was as an application platform inspired by Apple's HyperCard.36:36–39:46 · Guest teaching 5/10 Elon, DOGE, and Fiscal Responsibility Stebbings conducts a quickfire round covering fiscal responsibility, luxury brands, and AGI timelines. Benioff dismisses Sam Altman's prediction of reaching AGI in 2025, forecasting instead the complete commoditization of LLMs.39:46–41:17 · Guest teaching 6/10 The Unasked Question: Business as a Platform for Good When asked what question he is rarely asked, Benioff highlights Salesforce's 1-1-1 philanthropic model and advocates for business as a platform for social change.0:45–3:16 · Guest disagreement 1/10 Welcome & Navigating the Podcast Landscape Light banter opening the show focused on podcast mechanics and Benioff's studio setup. Stebbings offers short advice on balancing story art with consumer learning based on his podcast experience.3:16–7:34 · Guest disagreement 2/10 "No Mud, No Lotus" — Mindfulness and Shoshin Benioff explains his 'no mud, no lotus' philosophy stemming from Thich Nhat Hanh and connects it to Salesforce's financial recovery over the last two years. Stebbings pivots to ask why skeptics doubt Salesforce's role in the next generation of AI.7:34–10:53 · Guest disagreement 3/10 AgentForce Scale & Heathrow Case Study Stebbings challenges Benioff on whether failing to own the agentic layer reduces Salesforce to a commoditized database. Benioff responds by detailing Salesforce's unified single-code architecture across 230 petabytes of data and metadata.10:53–13:40 · Guest disagreement 2/10 The Launch of Digital Labor & Headcount Rebalancing Benioff introduces the concept of digital labor and explains freeze on software engineer hiring due to 30% AI productivity gains. Stebbings asks direct questions regarding headcount trajectory over five years and SaaS pricing transitions.13:40–17:18 · Guest disagreement 2/10 The Commoditization of LLMs Stebbings quotes Benioff's prior assertion about LLMs hitting upper limits. Benioff contextualizes this within AI's historical 60-year maturation cycles, pointing to current commoditization.17:18–19:36 · Guest disagreement 5/10 Picking a Niche: Generic AI vs. Specialized Verticals Stebbings asks a forced-choice question on investing in OpenAI, Anthropic, or xAI. Benioff explicitly rejects the premise, stating he wouldn't invest in any of them because generic models are commoditizing in favor of vertical specialization.19:36–21:49 · Guest disagreement 4/10 Rebalancing vs. Layoffs: Workforce Dynamics in the AI Era When Benioff describes shifting support staff to sales as 'rebalancing,' Stebbings pushes back directly, questioning if it is simply blunt cost removal for higher margins. Benioff defends layoffs as a necessary CEO tool for corporate restructuring.21:49–24:54 · Guest disagreement 2/10 Steve Jobs' Advice and the Power of Singular Focus Benioff recounts a personal story about Steve Jobs teaching him the necessity of singular focus, which inspired his decision to focus exclusively on AgentForce. Stebbings asks how this hyper-focus affects morale across other product teams.24:54–28:50 · Guest disagreement 1/10 The Last-Minute Dreamforce Pivot Benioff details pivoting the entire Dreamforce keynote narrative two weeks prior to the event after receiving early customer feedback on AgentForce. Stebbings listens as Benioff reflects on cultivating a beginner's mind.28:50–33:22 · Guest disagreement 2/10 Exhaustion, Leadership, and leaving it on the Field Stebbings quotes Jensen Huang on the extreme difficulty of building tech giants. Benioff outlines the history of NVIDIA's chief scientist David Kirk and Jensen's early 2013 pivot into deep learning.33:22–36:36 · Guest disagreement 3/10 Censorship, Twitter, and App Store Dreams Stebbings brings up Marc Andreessen's claims on Joe Rogan about government coercion in big tech. Benioff shares surprise at those claims and explains his original motivation to buy Twitter was as an application platform inspired by Apple's HyperCard.36:36–39:46 · Guest disagreement 3/10 Elon, DOGE, and Fiscal Responsibility Stebbings conducts a quickfire round covering fiscal responsibility, luxury brands, and AGI timelines. Benioff dismisses Sam Altman's prediction of reaching AGI in 2025, forecasting instead the complete commoditization of LLMs.39:46–41:17 · Guest disagreement 1/10 The Unasked Question: Business as a Platform for Good When asked what question he is rarely asked, Benioff highlights Salesforce's 1-1-1 philanthropic model and advocates for business as a platform for social change.0:45–3:16 · Harry pushing back 1/10 Welcome & Navigating the Podcast Landscape Light banter opening the show focused on podcast mechanics and Benioff's studio setup. Stebbings offers short advice on balancing story art with consumer learning based on his podcast experience.3:16–7:34 · Harry pushing back 4/10 "No Mud, No Lotus" — Mindfulness and Shoshin Benioff explains his 'no mud, no lotus' philosophy stemming from Thich Nhat Hanh and connects it to Salesforce's financial recovery over the last two years. Stebbings pivots to ask why skeptics doubt Salesforce's role in the next generation of AI.7:34–10:53 · Harry pushing back 6/10 AgentForce Scale & Heathrow Case Study Stebbings challenges Benioff on whether failing to own the agentic layer reduces Salesforce to a commoditized database. Benioff responds by detailing Salesforce's unified single-code architecture across 230 petabytes of data and metadata.10:53–13:40 · Harry pushing back 4/10 The Launch of Digital Labor & Headcount Rebalancing Benioff introduces the concept of digital labor and explains freeze on software engineer hiring due to 30% AI productivity gains. Stebbings asks direct questions regarding headcount trajectory over five years and SaaS pricing transitions.13:40–17:18 · Harry pushing back 3/10 The Commoditization of LLMs Stebbings quotes Benioff's prior assertion about LLMs hitting upper limits. Benioff contextualizes this within AI's historical 60-year maturation cycles, pointing to current commoditization.17:18–19:36 · Harry pushing back 4/10 Picking a Niche: Generic AI vs. Specialized Verticals Stebbings asks a forced-choice question on investing in OpenAI, Anthropic, or xAI. Benioff explicitly rejects the premise, stating he wouldn't invest in any of them because generic models are commoditizing in favor of vertical specialization.19:36–21:49 · Harry pushing back 7/10 Rebalancing vs. Layoffs: Workforce Dynamics in the AI Era When Benioff describes shifting support staff to sales as 'rebalancing,' Stebbings pushes back directly, questioning if it is simply blunt cost removal for higher margins. Benioff defends layoffs as a necessary CEO tool for corporate restructuring.21:49–24:54 · Harry pushing back 3/10 Steve Jobs' Advice and the Power of Singular Focus Benioff recounts a personal story about Steve Jobs teaching him the necessity of singular focus, which inspired his decision to focus exclusively on AgentForce. Stebbings asks how this hyper-focus affects morale across other product teams.24:54–28:50 · Harry pushing back 1/10 The Last-Minute Dreamforce Pivot Benioff details pivoting the entire Dreamforce keynote narrative two weeks prior to the event after receiving early customer feedback on AgentForce. Stebbings listens as Benioff reflects on cultivating a beginner's mind.28:50–33:22 · Harry pushing back 2/10 Exhaustion, Leadership, and leaving it on the Field Stebbings quotes Jensen Huang on the extreme difficulty of building tech giants. Benioff outlines the history of NVIDIA's chief scientist David Kirk and Jensen's early 2013 pivot into deep learning.33:22–36:36 · Harry pushing back 4/10 Censorship, Twitter, and App Store Dreams Stebbings brings up Marc Andreessen's claims on Joe Rogan about government coercion in big tech. Benioff shares surprise at those claims and explains his original motivation to buy Twitter was as an application platform inspired by Apple's HyperCard.36:36–39:46 · Harry pushing back 4/10 Elon, DOGE, and Fiscal Responsibility Stebbings conducts a quickfire round covering fiscal responsibility, luxury brands, and AGI timelines. Benioff dismisses Sam Altman's prediction of reaching AGI in 2025, forecasting instead the complete commoditization of LLMs.39:46–41:17 · Harry pushing back 1/10 The Unasked Question: Business as a Platform for Good When asked what question he is rarely asked, Benioff highlights Salesforce's 1-1-1 philanthropic model and advocates for business as a platform for social change.

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

0:00 · Harry 35.2% · guest 64.8%0:00 · Harry 35.2% · guest 64.8%3:00 · Harry 30.5% · guest 69.5%3:00 · Harry 30.5% · guest 69.5%6:00 · Harry 16.7% · guest 83.3%6:00 · Harry 16.7% · guest 83.3%9:00 · Harry 4% · guest 96%9:00 · Harry 4% · guest 96%12:00 · Harry 18.4% · guest 81.6%12:00 · Harry 18.4% · guest 81.6%15:00 · Harry 17.5% · guest 82.5%15:00 · Harry 17.5% · guest 82.5%18:00 · Harry 15.6% · guest 84.4%18:00 · Harry 15.6% · guest 84.4%21:00 · Harry 14.8% · guest 85.2%21:00 · Harry 14.8% · guest 85.2%24:00 · Harry 6.3% · guest 93.7%24:00 · Harry 6.3% · guest 93.7%27:00 · Harry 5.6% · guest 94.4%27:00 · Harry 5.6% · guest 94.4%30:00 · Harry 6.6% · guest 93.4%30:00 · Harry 6.6% · guest 93.4%33:00 · Harry 15.1% · guest 84.9%33:00 · Harry 15.1% · guest 84.9%36:00 · Harry 11.7% · guest 88.3%36:00 · Harry 11.7% · guest 88.3%39:00 · Harry 14.2% · guest 85.8%39:00 · Harry 14.2% · guest 85.8%
Sharpest disagreement ▶ 17:32 Rejection of generic model investment premise

Benioff outright refuses Stebbings' forced choice between OpenAI, Anthropic, and xAI, arguing that generic model providers are becoming indistinguishable commodities.

Hardest push from Harry ▶ 20:03 Refusal of 'rebalancing' corporate euphemism

Stebbings directly challenges Benioff's framing of shifting support roles as 'rebalancing,' asking bluntly if it's just standard cost-cutting to expand margins.

Biggest teaching moment ▶ 8:46 Architectural breakdown of integrated agentic platforms

Benioff corrects the host's assumption that agents turn Salesforce into a simple database, detailing how 230 petabytes of unified metadata and code make their model far more precise.

Harry holds his own ▶ 8:46 Technical challenge on enterprise tech stacks

Stebbings demonstrates sharp domain understanding of enterprise SaaS architecture by pressing whether failing to control the agentic interface reduces underlying platforms to raw database layers.

the scores for every segment, with the reasoning behind each
ChapterTopicHarry as informed peerGuest teachingGuest disagreementHarry pushing backWhy
Welcome & Navigating the Podcast Landscape 3211 Light banter opening the show focused on podcast mechanics and Benioff's studio setup. Stebbings offers short advice on balancing story art with consumer learning based on his podcast experience.
"No Mud, No Lotus" — Mindfulness and Shoshin 3524 Benioff explains his 'no mud, no lotus' philosophy stemming from Thich Nhat Hanh and connects it to Salesforce's financial recovery over the last two years. Stebbings pivots to ask why skeptics doubt Salesforce's role in the next generation of AI.
AgentForce Scale & Heathrow Case Study 6636 Stebbings challenges Benioff on whether failing to own the agentic layer reduces Salesforce to a commoditized database. Benioff responds by detailing Salesforce's unified single-code architecture across 230 petabytes of data and metadata.
The Launch of Digital Labor & Headcount Rebalancing 4524 Benioff introduces the concept of digital labor and explains freeze on software engineer hiring due to 30% AI productivity gains. Stebbings asks direct questions regarding headcount trajectory over five years and SaaS pricing transitions.
The Commoditization of LLMs 5523 Stebbings quotes Benioff's prior assertion about LLMs hitting upper limits. Benioff contextualizes this within AI's historical 60-year maturation cycles, pointing to current commoditization.
Picking a Niche: Generic AI vs. Specialized Verticals 5654 Stebbings asks a forced-choice question on investing in OpenAI, Anthropic, or xAI. Benioff explicitly rejects the premise, stating he wouldn't invest in any of them because generic models are commoditizing in favor of vertical specialization.
Rebalancing vs. Layoffs: Workforce Dynamics in the AI Era 6547 When Benioff describes shifting support staff to sales as 'rebalancing,' Stebbings pushes back directly, questioning if it is simply blunt cost removal for higher margins. Benioff defends layoffs as a necessary CEO tool for corporate restructuring.
Steve Jobs' Advice and the Power of Singular Focus 3623 Benioff recounts a personal story about Steve Jobs teaching him the necessity of singular focus, which inspired his decision to focus exclusively on AgentForce. Stebbings asks how this hyper-focus affects morale across other product teams.
The Last-Minute Dreamforce Pivot 2511 Benioff details pivoting the entire Dreamforce keynote narrative two weeks prior to the event after receiving early customer feedback on AgentForce. Stebbings listens as Benioff reflects on cultivating a beginner's mind.
Exhaustion, Leadership, and leaving it on the Field 4722 Stebbings quotes Jensen Huang on the extreme difficulty of building tech giants. Benioff outlines the history of NVIDIA's chief scientist David Kirk and Jensen's early 2013 pivot into deep learning.
Censorship, Twitter, and App Store Dreams 4534 Stebbings brings up Marc Andreessen's claims on Joe Rogan about government coercion in big tech. Benioff shares surprise at those claims and explains his original motivation to buy Twitter was as an application platform inspired by Apple's HyperCard.
Elon, DOGE, and Fiscal Responsibility 5534 Stebbings conducts a quickfire round covering fiscal responsibility, luxury brands, and AGI timelines. Benioff dismisses Sam Altman's prediction of reaching AGI in 2025, forecasting instead the complete commoditization of LLMs.
The Unasked Question: Business as a Platform for Good 2611 When asked what question he is rarely asked, Benioff highlights Salesforce's 1-1-1 philanthropic model and advocates for business as a platform for social change.

Statements from this episode (36)

Prediction Partly held up
Benioff: Salesforce Will Not Hire Software Engineers in 2025 Due to AI
“We're not adding any more software engineers next year because we have increased the productivity this year with AgentForce and with other AI technology that we're using for our engineering teams by more than 30% to the point where our engineering velocity is …”
Marc Benioff Dec 9, 2024 ▶ 12:33
Prediction Held up
Benioff: Salesforce Will Reduce Support Engineer Headcount in 2025
“We will have less support engineers next year because we have an agentic layer”
Marc Benioff Dec 9, 2024 ▶ 12:53
Assertion Supported
Benioff: Salesforce Guides to $38B Revenue and $12.9B Cash Flow
“We had a great quarter, Harry. We delivered, you know, clear guidance to thirty eight billion in revenue this year, 12.9 billion in cash flow 32.9% margins.”
Marc Benioff Dec 9, 2024 ▶ 5:21
Assertion Open · timeframe Dec 2024
Benioff: Salesforce Market Cap Tripled to Mid-$300B in Two Years
“So we ended up in the mid three hundred billion dollars in market cap. And, you know, when I think back I think our stock was about one third this value two years ago, one third.”
Marc Benioff Dec 9, 2024 ▶ 5:45
What-if
Benioff: Salesforce's Current Success Required Severe Restructuring Two Years Ago
“So this is a great example of no mud, no Lotus, because If we hadn't gone through that two years ago, we probably would not be where we are today.”
Marc Benioff Dec 9, 2024 ▶ 7:06
Assertion Not publicly verifiable
Benioff: Salesforce Processes Over Two Trillion Enterprise Transactions Weekly
“We'll do more than two trillion enterprise transactions this week.”
Marc Benioff Dec 9, 2024 ▶ 7:46
Disclosure
Salesforce Is Building an AI Agent Layer for Heathrow Airport
“We're building an agentic layer completely around the airport with Heathrow so that from the beginning of your journey to your end, you're going to be partnered with an agent to make sure you have an absolutely great experience at Heathrow.”
Marc Benioff Dec 9, 2024 ▶ 8:20
Insight
Benioff: Enterprise AI Accuracy Requires Direct Access to Data and Metadata
“For AI to work really well and to get the level of accuracy and low hallucinogenics that you need in enterprise AI today you have to have as much access to the data and metadata and workflow as possible”
Marc Benioff Dec 9, 2024 ▶ 10:26
Assertion Not checkable as stated
Benioff: Salesforce Hosts Over 230 Petabytes of Data on Its Platform
“We have over 230 petabytes of that data in our platform, and that makes it very unique”
Marc Benioff Dec 9, 2024 ▶ 10:26
Assertion Supported
Benioff: Salesforce Sold 200 Agentforce Deals in Q3 2024
“We shipped it October, and the quarter, which closed at the end of October, we already sold 200 deals.”
Marc Benioff Dec 9, 2024 ▶ 11:09
Prediction Held up
Benioff: Salesforce Projects Thousands of Agentforce Deals in Q4
“We'll do thousands of agent force deals this quarter”
Marc Benioff Dec 9, 2024 ▶ 11:16
Disclosure
Benioff: Salesforce Shifted Help.Salesforce.com to 100% AI Agents
“This week, I think I already told you, we turned on help.salesforce.com. I stripped out my previous support infrastructure. I've plugged in a new support infrastructure and it's all 100% agent base.”
Marc Benioff Dec 9, 2024 ▶ 11:32
Prediction Open · timeframe Dec 2029
Benioff: Salesforce Overall Workforce Will Likely Be Larger in Five Years
“I think we'll probably be larger.”
Marc Benioff Dec 9, 2024 ▶ 12:23
Prediction Open · timeframe Dec 2025
Benioff: Salesforce Will Add 1,000 to 2,000 Salespeople Short-Term
“We'll have more salespeople next year because we need to really explain to everybody exactly the value that we can achieve with AI. So we will add another probably one to 2000 salespeople in the short term.”
Marc Benioff Dec 9, 2024 ▶ 12:58
Assertion Supported
Benioff: Salesforce Agentforce Pricing Starts at $2 Per Conversation
“Agent force is consumption pricing. So you're being charging per conversation. The starting price is about two bucks per conversation, and then it's negotiated based on volumes for customers.”
Marc Benioff Dec 9, 2024 ▶ 13:25
Insight
Benioff: AI Advances in Cycles of Breakthrough, Commoditization, and Plateau
“In the last 60 years, the history of AI is a new model or a new technology will come along, and a bunch of folks will kind of get to the point where it becomes a commodity, and then we kind of hold until we wait to the next one, and then it goes on”
Marc Benioff Dec 9, 2024 ▶ 14:05
Assertion Not checkable as stated
Benioff: Salesforce Built Two of the Top Five AI Models
“Well, two out of the top five models in the industry are Salesforce models, Salesforce builds a lot of models.”
Marc Benioff Dec 9, 2024 ▶ 15:25
Disclosure
Benioff: Salesforce Has Invested in Anthropic, Mistral, and Cohere
“We also use a lot of other models. We change that on a regular basis, and we've invested in a lot of model companies, including Anthropic and Mistral and Cohere and many Many of them.”
Marc Benioff Dec 9, 2024 ▶ 15:41
Disclosure
Benioff Personally Invested in Fei-Fei Li's AI Startup
“Even personally, I've invested in many amazing models. I've invested in an incredible new next-gen model company from Fei Fei Li, who ran AI at Stanford. Her husband runs research for me at Salesforce.”
Marc Benioff Dec 9, 2024 ▶ 15:55
Disclosure
Benioff Personally Invested in and Named AI Startup You.com
“Another incredible company that I'm personally an investor in is you.com company that I invested myself. I named it myself. The founder is the former head of Salesforce research.”
Marc Benioff Dec 9, 2024 ▶ 16:36
Opinion
Benioff Passes on OpenAI, Anthropic, and xAI Over Product Commoditization
“I don't know if I'd really want to invest in any of them right now because I think in those cases we're seeing all of them to being about the same kind of product. A lot of them are really becoming the same Technology.”
Marc Benioff Dec 9, 2024 ▶ 17:33
Insight
Benioff: Generic AI Companies Are No Longer a Viable Business Strategy
“I don't think being just a generic company is the right move anymore. You need to decide what vertical you're going to be in or what your best specialty is.”
Marc Benioff Dec 9, 2024 ▶ 17:55
Prediction Open · timeframe Dec 2027
Benioff: Salesforce Will Move Its Entire Company Onto Agentforce
“That I've moved my whole support infrastructure to the agentic platform. I will move my whole sales platform to the agentic platform as well. I'll move my whole company onto agent force for no other reason what to show my customers what is possible.”
Marc Benioff Dec 9, 2024 ▶ 18:50
Opinion
Benioff: Enterprise AI Advanced So Fast That Customers Cannot Comprehend It
“I think we are in such a new world right now in terms of what is possible today versus even just six months ago that customers do not understand This and what it can mean for them.”
Marc Benioff Dec 9, 2024 ▶ 19:08
Assertion Supported
Benioff: Salesforce Currently Employs 9,000 Support Staff
“So I have 9000 people in support today.”
Marc Benioff Dec 9, 2024 ▶ 19:47
Assertion Not checkable as stated
Benioff: Salesforce Rehired Many Employees Laid Off Two Years Ago
“Even in the layoffs that we had, which were very dramatic in the company two years ago, we have hired a lot of those employees back into the company.”
Marc Benioff Dec 9, 2024 ▶ 20:30
Insight
Benioff: Layoffs Are a Necessary Tool and CEOs Shouldn't Fear Them
“So layoff is an important tool for CEOs to be able to use, to be able to prepare for a company for the future. And nobody wants to hit the button. Nobody wants to take the action. No employee wants to hear the words. It sends chills down everybody's spine, inc…”
Marc Benioff Dec 9, 2024 ▶ 21:14
Assertion Supported
Benioff Wrote Assembly Code in Apple's Macintosh Division in 1984
“I worked for him in 1984 in the Macintosh division when I was writing assembly language code.”
Marc Benioff Dec 9, 2024 ▶ 22:14
Prediction Not checkable as stated
Benioff: Salesforce Is Focusing Exclusively on AgentForce Over Other Products
“When I just rolled out AgentForce, you'll notice that we're not going to talk a lot about all of Salesforce's products, which are amazing. You know, on the podcast, I'm going to keep coming back to AgentForce because that's all I'm focused on right now.”
Marc Benioff Dec 9, 2024 ▶ 23:18
Assertion Partly supported
Benioff: Jensen Huang Was Sole Tech CEO to Pivot to Deep Learning
“He was the only large company, CEO in tech, who said, you know what? Deep learning is such a big idea, and this technology is pretty darn close, the GPU to what you need. I'm gonna pivot my whole company, and I'm just gonna be about deep learning. And he did t…”
Marc Benioff Dec 9, 2024 ▶ 31:33
Disclosure
Benioff: Salesforce Added Early AI Models But Didn't Pivot to Deep Learning
“I saw all those models too, and while I added it into Salesforce, I didn't pivot Salesforce entirely around deep learning.”
Marc Benioff Dec 9, 2024 ▶ 31:54
Disclosure
Benioff: Salesforce Has Never Experienced Government Coercion or Censorship
“I haven't seen it in my own company. That's why I've been so surprised that, but I don't run a social media company, so I don't really know what the government does with these big consumer platforms.”
Marc Benioff Dec 9, 2024 ▶ 34:15
Assertion Supported
Benioff Reaffirms Salesforce Almost Acquired Twitter
“We almost bought one. You probably remember we almost bought Twitter.”
Marc Benioff Dec 9, 2024 ▶ 34:25
What-if
Benioff: I Would Not Have Enjoyed Owning Twitter
“And I guess in a lot of ways I'm happy I didn't because I don't think I could, I would have enjoyed that part of it at all.”
Marc Benioff Dec 9, 2024 ▶ 34:36
Prediction Held up
Marc Benioff Predicts AGI Will Not Be Achieved in 2025
“I don't think we are in AGI in twenty-twenty-five, so I think that's an optimistic thought.”
Marc Benioff Dec 9, 2024 ▶ 39:21
Prediction Not checkable as stated
Marc Benioff Expects LLMs to Commoditize and Mature in 2025
“I think the, we're gonna hit the maturation of the LLM in twenty-twenty-five, so I'll say that. I believe that LLMs are becoming commodities and that we're cresting the LLMs, that they're getting incrementally more successful, but not exponentially more succes…”
Marc Benioff Dec 9, 2024 ▶ 39:25

Shorts cut from this episode

▶ Will DOGE be a success? 🚀 · 20VC with Harry Stebbings (@36:50) ▶ What will Salesforce’s workforce look like in 5 years? 🤖 · (@0:00) ▶ Why do AI companies need to change? 🚀 · 20VC with Harry Ste (@17:55) ▶ Steve Jobs’ most important leadership lesson? 🧠 · 20VC with (@22:13) ▶ What does the future of AI look like? 🤖 · 20VC with Harry S (@0:03)
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