#38: Salesforce Einstein GPT and the Smart CRM Market, the Law of Uneven AI Distribution, and Why the AI Productivity Narrative Is a Lie

#38: Salesforce Einstein GPT and the Smart CRM Market, the Law of Uneven AI Distribution, and Why the AI Productivity Narrative Is a Lie

The Marketing AI Show is back! The smart CRM market is evolving…and so are marketers and businesses with the help of AI.

First comes ChatSpot, then comes Salesforce Einstein GPT

Coming on the heels of HubSpot’s ChatSpot announcement, Salesforce just announced Einstein GPT, a generative AI tool for its market-leading CRM. The tool, which is currently in closed pilot, creates content across marketing, sales, and service use cases.

Salesforce’s communications say, “Einstein GPT will infuse Salesforce’s proprietary AI models with generative AI technology from an ecosystem of partners and real-time data from the Salesforce Data Cloud, which ingests, harmonizes, and unifies all of a company’s customer data.”

They say Einstein GPT can generate personalized emails, generate specific responses for customer service teams, generate targeted content, and auto-generate code for developers. In the same breath, the company also announced a $250 million Generative AI fund through its venture arm.

The value (or lack thereof) gained by AI is dependent on three factors.

Paul recently published a post on an AI topic framing his idea of “the law of uneven AI distribution.” In it, he wrote: “The Law: The value you gain from AI, and how quickly and consistently that value is realized, is directly proportional to your understanding of, access to, and acceptance of the technology.”

This uneven distribution will create dramatic differences in people’s experiences with and perceptions of AI. And it’s all dependent on three factors: how well you understand AI, the level of access you have to AI, and how much you accept the radical changes that AI will bring about in business and society.

Do we need to fill the time saved by AI with more…work?

When we talk about AI, we often hear that the wondrous productivity gains produced by AI technology will give us back more time, in turn making our lives less busy and more fulfilling.

And these productivity gains are valuable. Venture fund ARK Invest predicts that we could boost the productivity of the average knowledge worker by 140% with AI, which would create $56 trillion in value globally. But a new article from the Centre for International Governance Innovation challenges the idea that AI will liberate our time and goes so far as to call the AI productivity narrative “a lie.”

However, history has shown that efficiencies often heighten expectations and standards. How can we as marketers, business leaders, and humans, ensure we aren’t exacerbating Parkinson’s law by adding to the idea that “work expands so as to fill the time available for its completion?” How can we invest that time in things we want to do? This is a topic we all need to listen to!



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#245: OpenAI DevDay and Dots, OpenAI’s Safety Crisis, Trump Renames Artificial Intelligence & Anthropic Targets Pre-Thanksgiving IPO Ad:

#245: OpenAI DevDay and Dots, OpenAI’s Safety Crisis, Trump Renames Artificial Intelligence & Anthropic Targets Pre-Thanksgiving IPO Ad:

An OpenAI safety researcher resigned and published an essay arguing the company's safety culture can't keep up with its own release pace; the same week OpenAI fired three safety researchers and cancel...

6 Loka 1h 32min

#244: How Alibaba.com Is Building the Future of Agent-to-Agent Commerce

#244: How Alibaba.com Is Building the Future of Agent-to-Agent Commerce

Kuo Zhang, president of Alibaba.com, believes B2B commerce is becoming agent-to-agent. He joins Mike Kaput to explain Accio, Alibaba.com's agent platform, and how it collapses a 60-step sourcing proce...

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#243: GPT-6 Sol and Luna, Opus 5.5, the New Microsoft Copilot, Jensen Huang vs. AI Doomers & Introducing AI Score

#243: GPT-6 Sol and Luna, Opus 5.5, the New Microsoft Copilot, Jensen Huang vs. AI Doomers & Introducing AI Score

Three big model updates landed at once, GPT-6 Sol and Luna, Claude Opus 5.5, and Microsoft's redesigned Copilot, and the story isn't raw intelligence, it's reliability, efficiency, and a new "per-task...

29 Syys 1h 31min

#242: How Baptist Health’s Marketing Team Took the Lead on AI Transformation

#242: How Baptist Health’s Marketing Team Took the Lead on AI Transformation

One task at Baptist Health used to take about 10 hours a week. Now it takes roughly two minutes, and that's just one piece of a two-year AI transformation. Christine Kotler, Chief Marketing & Communic...

24 Syys 44min

#241: Pacing the Frontier Gets Political, Why AI Labs Could Keep the Best Models for Themselves & Introducing the AI Transformation Blueprint

#241: Pacing the Frontier Gets Political, Why AI Labs Could Keep the Best Models for Themselves & Introducing the AI Transformation Blueprint

AI-safety pacing became a political fight this week: Trump versus a bipartisan push, with data centers and the midterms in the middle. Paul and Mike go deeper on the part that matters more: the wideni...

22 Syys 1h 36min

#240: How David’s Bridal Is Rebuilding a 76-Year-Old Business Around AI

#240: How David’s Bridal Is Rebuilding a 76-Year-Old Business Around AI

David's Bridal was built around one thing for 75 years: the dress. In this AI Transformations episode, Elina Vilk (President & Chief Business Officer) and Mike Ball (Head of Product) join Mike Kaput t...

17 Syys 36min

#239: Labs Agree to Pace AI, OpenAI’s Math Breakthrough, AI Jobs Apocalypse Postponed & Jensen Declares AGI

#239: Labs Agree to Pace AI, OpenAI’s Math Breakthrough, AI Jobs Apocalypse Postponed & Jensen Declares AGI

A former OpenAI and Anthropic researcher resigned with a warning that went viral, reigniting the "should we slow down?" debate. Then OpenAI said an internal model solved the Navier–Stokes Millennium P...

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#238: How a 700-Person Bank Is Using AI to Build Apps, Agents, and Digital Employees

#238: How a 700-Person Bank Is Using AI to Build Apps, Agents, and Digital Employees

A smaller bank replaced a $375,000 software contract by building its own tool, and now runs named "digital employees" that answer tickets, review its websites, and message staff in Teams. This is what...

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