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AI’s killer app could be the limitless digital workforce

As Agentic AI rolls out it could end up being used to create a limitless digital workforce that we could all tap into.

Key takeaways

  • Benioff said that Salesforce closed 200 deals for Agentforce in just one quarter and that it plans to hire 1,400 salespeople to help it close the many more deals it is working on.
  • The company said it now expects to bring in more revenue for its fiscal year than it previously projected, too, $37.8 to $38 billion, which will be up 8% to 9% over its previous year, largely on the strength of its AI products.
  • Startups offering SDR technology have boomed in 2024, attracting lots of VC investment and a lot of initial revenue, the object of many an exploratory enterprise AI budget.
Cite or link to this article

Griffin, M. (2025) 'AI’s killer app could be the limitless digital workforce', 311 Institute, 15 February. Available at: https://www.311institute.com/ais-killer-app-could-be-the-limitless-digital-workforce/ (Accessed: 25 October 2026).

If Don Draper from “Mad Men” was quintessentially, at his deepest self, an ad man, then Salesforce CEO Marc Benioff is likewise a sales guy. Lately he’s been selling, or more like singing the gospel, about Artificial Intelligence (AI) agents, their role in helping companies create “limitless workforces,” and Salesforce’s recently released agent-maker platform Agentforce.

It’s true that Benioff famously gets hyped about all of Salesforce’s latest offerings, but on Tuesday, as part of the company’s latest quarterly results, he also released numbers to back up why he’s so excited. Benioff said that Salesforce closed 200 deals for Agentforce in just one quarter and that it plans to hire 1,400 salespeople to help it close the many more deals it is working on.

The Future of Work and AI, by Future of Work Keynote Matthew Griffin

Agentforce “firstbecame available on October 24th, and we’re already seeing this incredible velocity, more than 200 Agentforce deals just in Q3,” Benioff told analysts on the quarterly conference call. “The pipeline is in the thousands for potential transactions that are coming up in future quarters.” He named FedEx, Adecco, Accenture, ACE Hardware, IBM, and RBC Wealth Management as Agentforce customers.

The company said it now expects to bring in more revenue for its fiscal year than it previously projected, too, $37.8 to $38 billion, which will be up 8% to 9% over its previous year, largely on the strength of its AI products.

Benioff recently told reporters that he expects Salesforce customers to deploy over a billion AI agents within the next year and that AI agents will allow companies to have an unlimited workforce, which is something I’ve been talking about for over a decade.

“These agents are not tools. They are becoming collaborators. They’re working 24/7 to analyze data, make decisions, take action,” he said on the conference call. “Salesforce has become, right out of the gate here, the largest supplier of digital labor, and this is just the beginning.”

How much of this vision turns into reality we’ll have to wait and see. LLM-based tech is still working to solve its hallucination problem, an issue baked into a technology that is quintessentially at its core about imitating creativity. Benioff said on the call that because Agentforce can train on the up to 300 petabytes of actual company data Salesforce manages, “you’re going to see remarkably low hallucinogenic performance.”

Other startups are working on other LLM issues necessary to turn AI agents into actual digital collaborators, like memory and state.

But as 2025 also becomes the year of AI, it’s becoming clear that enterprises have found a direction for their AI investments. After spending much of 2024 throwing around experimental budgets to answer the board-level question “what are we doing with AI?” the answer is apparently: AI agents for sales and customer service.

It is interesting, and not without irony, that Salesforce will be hiring humans to help them sell this tech. Maybe that means that AI will create jobs, not just replace them. Maybe it means that even a company touting the rise of the digital workforce isn’t ready to turn over the reins entirely to software just yet. But it will also be equipping its sales humans with AI sales development representatives.

As Salesforce COO Brian Millham explained on the call, “To capture this increased demand for Agentforce, we’re hiring 1,400 AEs globally in our fourth quarter and we’re also using new sales SDR agent and sales coaching agent to augment every seller.”

Salesforce isn’t alone in chasing this killer enterprise AI app. Startups offering SDR technology have boomed in 2024, attracting lots of VC investment and a lot of initial revenue, the object of many an exploratory enterprise AI budget. But it’s an area where the incumbents that hold the customer data to train the bots have the advantage like Salesforce, HubSpot, and ZoomInfo. Ditto for customer service bots.

311 Intelligence

What this means for your organisation

Agents have found a first job.

After a year of experimental budgets in 2024, enterprises appear to have settled on AI agents for sales and customer service. Leaders who are still asking what they are doing with AI now have a clear place to start. Agentic AI is rated Prepare, with wide use expected by 2028.

Your customer data is the edge.

Incumbents that hold the customer data to train the bots have the advantage, as Salesforce, HubSpot and ZoomInfo do. Salesforce says training on up to 300 petabytes of company data will keep errors low. That claim is untested. Hallucination is unsolved, and memory and state are still being worked on, so treat long-term memory for agents as an Act now item.

Keep people in the loop.

Salesforce plans to hire 1,400 salespeople while giving sellers an SDR agent and a coaching agent. Even the loudest champion of agents is not handing over the reins. Robo customer service already handles a growing share of contacts, with humans on harder cases, and customers still insist on a real person. Design for both.

Three questions for your next leadership meeting

  1. Which sales or service tasks could an agent handle first in our firm?
  2. Is our customer data good enough to train agents we can trust?
  3. Where must a person stay involved when agents decide and act?

The trends and technologies behind this story

From the 311 Starburst, the 311 Strategic Intelligence Unit’s map of the technologies and trends shaping the next 50 years.

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Analysis by the 311 Strategic Intelligence Unit, from Matthew Griffin’s article and 311 data. First published on Fanatical Futurist.

FAQ

Why does this matter?

As Agentic AI rolls out it could end up being used to create a limitless digital workforce that we could all tap into.

Matthew Griffin

About the author

Matthew Griffin Founder, President and Futurist, 311 Institute

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath."

Read full bio

Matthew Griffin is a multi-award winning Futurist and expert in Disruption and Innovation, Geopolitics, Leadership, and Technology, who NASA have described as a "walking encyclopaedia of the future" and a "futurist Polymath." 17-time best selling author of the "Codex of the Future" series, Matthew is the Founder, President and Futurist of the 311 Institute, a global Futures and Deep Futures advisory firm working with royal households, world leaders, G7, G20, and G77 governments, NGOs, and multi-national mid and mega cap firms to help them explore, shape, and lead the next 50 years of business and society.

An award-winning YouTube creator with over a million followers, with an unrivalled global reach and impact, Matthew is a highly sought-after international keynote speaker, lecturer, and mentor who collaborates with global leaders through the United Nations Alliance of Civilizations (UNAOC) and United Nations General Assembly (UNGA) to shape pivotal initiatives such as the UN’s AI for Humanity programme, the United Nations Conference of the Parties (UN COP), and the World Economic Forum in Davos.

As the former Global Head of Cloud, National Security, and Enterprise Sales for companies including Atos, Dell-EMC, and IBM, Matthew has a proven track record of building multi-billion dollar business units and turning failing divisions into market leaders. His ability to identify, analyse, and communicate the implications of hundreds of emerging technologies and trends is unparalleled, and his insights are trusted by many of the world’s most respected organisations, including ABB, Accenture, Adidas, AON, ARM, BCG, Centrica, Citi, Coca-Cola, Dentons, Deloitte, Dow Jones, EY, Google, KPMG, Lego, Legal & General, LinkedIn, Microsoft, PepsiCo, Qualcomm, RWE, Samsung, Siemens AG and Siemens Energy, T-Mobile, UBS, VISA, Walmart, Workday, Worldpay and many others.

Regularly featured in the global media including the AP, BBC, Bloomberg, CNBC, Discovery, Forbes, Khaleej Times, Telegraph, TIME, ViacomCBS, WIRED, and the WSJ, Matthews mission is to help organisations create a fair and sustainable future whose benefits are shared by everyone irrespective of their ability, background, or circumstances.

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Sources and further reading

  1. quarterly conference call events.q4inc.com
  2.  like memory and state. techcrunch.com
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