Choose your fighter:
Human: Complex strategy, relationship building
Agent: Servicing, qualifying, speaking the language
Actually, we’ll go with both.
@Benioff explains to @MatthewBerman why human-agent collaboration is the future.
I accidentally discovered how to compress a semester of learning into 48 hours.
A grad student at MIT showed me his NotebookLM setup. I thought he was just organized. Then I watched him pass a qualifying exam on a subject he'd never studied before.
Here's exactly what he did:
First: he didn't upload a textbook.
He uploaded 6 textbooks, 15 research papers, and every lecture transcript he could find on the subject.
Then he asked NotebookLM one question:
"What are the 5 core mental models that every expert in this field shares?"
Not "summarize this." Not "explain this topic."
Mental models. The stuff that takes professors years to develop.
But the next part is what broke my brain.
He followed up with:
"Now show me the 3 places where experts in this field fundamentally disagree, and what each side's strongest argument is."
In 20 minutes he had a map of the entire intellectual landscape of the field:
the debates, the consensus, the open questions.
Most students spend a full semester just figuring out what those debates even are.
Then he did something I've never seen before.
He asked:
"Generate 10 questions that would expose whether someone deeply understands this subject versus someone who just memorized facts."
He spent the next 6 hours answering those questions using the source material. Every wrong answer triggered a follow-up:
"Explain why this is wrong and what I'm missing."
By hour 48, he could hold a conversation with his thesis advisor without getting destroyed.
The tool didn't change. The questions did.
Most people treat NotebookLM like a fancy highlighter.
These students are using it like a private tutor who has read everything ever written on the subject.
The difference between a semester and 48 hours isn't the amount of content.
It's knowing which questions to ask.
Trust your data like never before.
Data Monitoring is now available in Tableau Next, offering a centralized hub to oversee and orchestrate assets with streamlined data prep.
Check out Tableau 2026.1: https://t.co/KQ2PfWaj2T
The last time we were at this ballpark the Rangers were on their way to the World Series and @jerrybirdwell had a heart attack the next day. So much has changed!
Biggest and best year and quarter ever at Salesforce! FY26: $41.5B revenue (+10% YoY), $15B cash flow (+15%), >34% non-GAAP op margin, $72B RPO (+14%). FY27 guide: $46.2B. Yes, The Agentic Enterprise is now live—29K+ Agentforce deals, AgentForce $800M ARR +169% YoY, 20T tokens powered. Salesforce is Customer Zero: 68% of 3M+ convos resolved autonomously. See all the numbers here: https://t.co/Ha1TdrR2WX
Marc Benioff just exposed the biggest hypocrisy in the AI boom.
The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers.
Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.”
Let that land.
The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete.
Still buying traditional software. At scale.
Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.”
Not because they haven’t tried.
Because an LLM is not a foundation. It’s a feature.
Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.”
The analysts writing reports about fully autonomous AI companies have never had to run one.
Benioff is running one of the largest enterprise software companies on earth.
The gap between those two perspectives is where billions of dollars are being misallocated.
Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?”
A neural network that hallucinates cannot execute a financial transaction that has to be right every single time.
Cannot secure customer data with zero tolerance for error.
Cannot provide the determinism that every real business runs on.
Benioff: “We need the determinism, and the programmability, and the security, and the sharing.”
AI doesn’t replace those requirements. It sits on top of them.
Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.”
The future isn’t AI replacing software. It’s AI making software exponentially more powerful.
The smartest people building the future already know this.
They’re the ones still buying the software.
Marc Benioff just exposed the biggest hypocrisy in the AI boom.
The companies building the AI that’s supposed to kill software are some of Salesforce’s largest customers.
Benioff: “The AI companies love our products and they can’t buy enough of them. They’re some of our largest customers now: Anthropic, OpenAI, Google, Amazon, you name it.”
Let that land.
The most advanced AI labs on earth. The companies with more engineering talent and compute than anyone. The ones building the technology that analysts say will make traditional software obsolete.
Still buying traditional software. At scale.
Benioff: “No one has a company that’s running entirely on a large language model because it’s not real.”
Not because they haven’t tried.
Because an LLM is not a foundation. It’s a feature.
Benioff: “Yeah, Minority Report, I watched the movie. Great guys, fantastic. But I’m in the present-moment reality right now. We’re living in this world. This is 2026.”
The analysts writing reports about fully autonomous AI companies have never had to run one.
Benioff is running one of the largest enterprise software companies on earth.
The gap between those two perspectives is where billions of dollars are being misallocated.
Benioff: “How are we doing our financials, our HR, our customer information? How are we doing all of these aspects of our business?”
A neural network that hallucinates cannot execute a financial transaction that has to be right every single time.
Cannot secure customer data with zero tolerance for error.
Cannot provide the determinism that every real business runs on.
Benioff: “We need the determinism, and the programmability, and the security, and the sharing.”
AI doesn’t replace those requirements. It sits on top of them.
Benioff: “I think the software industry is going to be bigger and broader and do more this year than ever before.”
The future isn’t AI replacing software. It’s AI making software exponentially more powerful.
The smartest people building the future already know this.
They’re the ones still buying the software.
At #WEF26, world leaders and industry titans are making power moves with mountain views.
But how are they navigating such a logistically challenging week? Salesforce gives a peak into the tech that’s getting them in the room where deals happen:
.@Telepass manages approximately 75% of Italy’s motorway tolls — which means a lot of passes to manage.
Making over 1.4M LLM calls per month, Agentforce 360 speeds support and has already cut call handle time by 50%.
👉 Next exit? Answers: https://t.co/BNJY2BJZGe
New Agentforce 360 for AWS powers agents with models from @AmazonBedrock inside our secure Salesforce Trust Boundary. Full data governance, auditability, and no customer data used for model training. #Agentforce360#Security
https://t.co/vB1TuEfV62
https://t.co/u2PzHNdQV1
Let’s go, Dallas! 🤠 We’re teaming up with new fleet partner Avis Budget Group to bring you fully autonomous rides on the Waymo app next year. Learn more: https://t.co/0SHPbl6QuM