作者:Bernard Marr
Salesforce CEO Marc Benioff reveals how AI agents are fundamentally reshaping business operations ... More and productivity, potentially unlocking a market worth up to $12 trillion - and why most leaders are drastically underestimating their impact.
Imagine a future where the distinction between human and digital workers becomes increasingly blurred. Where AI agents don't just assist employees but independently handle 70% of customer service inquiries, help draft business plans, and collaborate with leaders on strategic decisions. According to Salesforce founder and CEO Marc Benioff, this future isn't decades away – it's unfolding right now.
In a recent conversation, Benioff shared with me his conviction that we're entering an unprecedented transformation that will fundamentally reshape how businesses operate. "We're in an incredible new moment," Benioff told me. "I think we can all see that, but I think we all know we're going to another unbelievable place, that it's kind of a transitionary period."
THE RISE OF DIGITAL LABOR
What makes Benioff's perspective particularly compelling is that Salesforce is already seeing this transformation happen across its customer base – and within its own operations.
During our conversation, Benioff explained that while Salesforce has grown into the second-largest enterprise software company in the world, with projected annual revenue of $40.9 billion and approximately 75,000 employees, they're now entering territory far beyond their traditional market. "In the last six months, we've stepped into a new market that we kind of categorize as three to 12 trillion, the idea of delivering digital labor," he told me, highlighting a shift from their established multi-hundred-billion-dollar market into something exponentially larger.
That's an astronomical jump in market potential – and it's already manifesting in real business outcomes. Benioff pointed to 1-800-ACCOUNTANT, which just completed tax season with 70% of customer service inquiries handled autonomously without human interaction. Even Salesforce itself is seeing dramatic changes: "We have about 9,000 support agents, but they're doing a lot less work lately 'cause we have help.salesforce.com, which is this agentic layer that is resolving issues without human interaction."
THE NEW BUSINESS STACK
The technical architecture enabling this revolution is what Benioff calls the Salesforce platform – a multilayered system consisting of a common platform, applications (sales, service, marketing, commerce, Tableau, Slack), a data cloud, and the newest addition: the agentic layer.
This agentic layer is where the magic happens. "You can deploy agents either inside with employees or externally, directly to customers, and that idea that customers can build and deploy on that platform is really the most exciting thing," Benioff said.
But there's another component that often gets overlooked: data. Benioff emphasized that the foundation of effective AI agents is high-quality, structured data. "The number one thing is really investing in data. You've gotta get your data together. You know, that's why the data cloud is so important. We've surpassed about 50 trillion records with our data cloud that we're managing for our customers."
HOW BENIOFF WORKS WITH AI AGENTS
What particularly intrigued me was how Benioff personally incorporates AI into his leadership practices. Each January, he drafts what Salesforce calls a V2MOM – a document outlining vision, values, methods, obstacles, and metrics. Traditionally, a collaborative process with another executive, Benioff now includes an AI agent as a third collaborator.
"Now I'll say to the AI: Hey, now tell me, look at my plan. Compare it to what all my competitors are doing. Give me a letter grade. Give me recommendations on what I should be doing differently," Benioff explained. "Where am I weak? Where am I strong? You know, help me augment this plan. Edit it, reshape it. Transform it."
This three-way collaboration – executive, colleague, and AI – exemplifies the augmentation approach Benioff encourages across Salesforce. "That's what I encourage all my employees to do, is to use AI to augment their employee productivity and to do more."
THE PHYSICAL DIMENSION: BEYOND SOFTWARE AGENTS
While much of the AI conversation centers around software, Benioff sees a future where digital agents become embodied in physical robots. "That I think is really one of the key parts of digital labor.” He pointed to recent advances from Stanford University's Aloha model as evidence of this evolution, explaining how these robotic systems are already demonstrating remarkable capabilities.
This vision extends to customer-facing scenarios, like hotel service interactions, where robots not only clean rooms but engage guests on a personal level: "You come into the hotel room and the robot's gonna say, Oh, Marc, how are you? Do you want us to leave? You know, are there changes that you wanna make to your hotel reservation?"
Salesforce is investing in this vision through partnerships and personal investments in model companies providing software for this robotic layer.
THE IMPACT ON JOBS AND SKILLS
No discussion about AI's future would be complete without addressing its impact on employment. Benioff is refreshingly candid about the transformations already underway at Salesforce: "We're gonna look at rebalancing about 50% of our customer support agents. When it comes to engineering, for example, software development, we're not gonna hire any new engineers this year 'cause we're already getting 30% more productivity and we think we're gonna get 50% more productivity."
This productivity boost extends across departments, from legal to healthcare. In radiology, for instance, Benioff noted how AI systems are increasingly scoring and grading scans, with humans complementing rather than leading this work.
The skills that will matter most in this new landscape? "You're gonna have to have fluidity in your ability to work with an AI," Benioff stated. "The ability to understand how to interact with the AI, construct the prompts to be able to deliver this kind of interaction."
THE LEADERSHIP IMPERATIVE
For business leaders navigating this transformation, Benioff's advice is characteristically direct: "Keep going faster."
The most effective CEOs in the age of AI, according to Benioff, will be "the ones to fully embrace this technology. Really try it, take risks, deploy fast, fail fast. You know, being willing to look at what are those new ideas and hire people who want to use these technologies and experiment with them."
This commitment to AI-driven innovation recently prompted Benioff to replace his chief information officer with someone who had "deployed a radical level of artificial intelligence in their last company."
Yet despite these dramatic shifts, Benioff emphasizes we're still in the early stages: "People always overestimate what we can do in a year. They underestimate what we can do in a decade or two decades."
THE ROAD AHEAD
Looking 15 years into the future, Benioff envisions companies where employees are "highly augmented" through technologies including brain-machine interfaces, alongside widespread deployment of digital labor. The result? "Businesses’ fundamental business KPIs are gonna be much better, so companies will be a lot more profitable and there'll be a real age of abundance when it comes to businesses and how they're being successful."
While transparency and trust remain works in progress ("there's no finish line when it comes to trust"), Benioff remains convinced that agentic AI represents the next great frontier in business transformation.
What struck me most throughout our conversation was not just the scale of change Benioff foresees, but how much of it is already happening. While many CEOs still view AI as a narrow tool for specific tasks, Salesforce is experiencing a fundamental shift in how work gets done, with the promise of even greater transformations ahead.
The key takeaway? As I often tell my clients, think bigger. Far bigger. Because if Benioff is right, we're not just upgrading our existing business models – we're entering an entirely new era of human-machine collaboration that will redefine what's possible.