Topics

Latest

AI

Amazon

Article image

Image Credits:TechCrunch

Apps

Biotech & Health

Climate

Marc Benioff

Image Credits:TechCrunch

Cloud Computing

Commerce

Crypto

endeavour

EVs

Fintech

Fundraising

contrivance

Gaming

Google

Government & Policy

computer hardware

Instagram

Layoffs

Media & Entertainment

Meta

Microsoft

Privacy

Robotics

Security

Social

blank

startup

TikTok

Transportation

speculation

More from TechCrunch

Events

Startup Battlefield

StrictlyVC

Podcasts

video

Partner Content

TechCrunch Brand Studio

Crunchboard

get through Us

It ’s true that Benioff famously gets hype about all of Salesforce ’s latest offerings , but on Tuesday , as part of thecompany ’s belated quarterly results , he also release turn 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 conclude the many more deal it is working on .

Agentforce “ just became available on October 24th , and we ’re already visualize this unbelievable speed , more than 200 Agentforce softwood just in Q3 , ” Benioff secernate analysts on thequarterly league call . “ The pipeline is in the thousands for potential transactions that are coming up in succeeding quarters . ” He identify FedEx , Adecco , Accenture , ACE Hardware , IBM , and RBC Wealth Management as Agentforce client .

The company said it now wait to bring in more tax income 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 , mostly on the strength of its AI products .

Benioff latterly told TechCrunch that he expect Salesforce customersto deploy one billion AI agents within the next yearand that AI federal agent will allow company to have an unlimited hands .

“ These agent are not tools . They are becoming collaborator . They ’re work 24/7 to analyze data , make decisions , take action , ” he aver on the conference call . “ Salesforce has become , aright out of the gate here , the prominent provider of digital labor , and this is just the kickoff . ”

How much of this vision turn into reality we ’ll have to wait and see . LLM - base tech isstill working to lick its delusion problem — an issue broil into a technology that is quintessentially at its core about simulate creativity . Benioff said on the call that because Agentforce can civilize on the up to 300 petabytes of genuine party datum Salesforce manages , “ you ’re go to see remarkably humbled hallucinogenic performance . ”

Join us at TechCrunch Sessions: AI

Exhibit at TechCrunch Sessions: AI

Other startups are working on other LLM issue necessary to turn AI agent into actual digital collaborationist , like storage and state .

But as we finishthe year of AI , it ’s becoming clear that enterprise have establish a way for their AI investment . After spending much of 2023 throw off around observational budgets to answer the plug-in - degree interrogation “ what are we doing with AI ? ” the result is plain : AI agents for sales and client service .

It is interesting , and not without irony , that Salesforce will be hiring humans to help them betray this technical school . Maybe that mean that AI will produce Job , not just replace them . perchance it means that even a fellowship tout the rise of the digital workforce is n’t ready to turn over the reins entirely to package just yet . But it will also be equipping its sales world with AI sales development representatives .

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

Salesforce is n’t alone in chasing this killer enterprise AI app . Startupsoffering SDR engineering have boomed in 2024,attracting lots of VC investment and a set of initial tax revenue — the object of many an exploratory initiative 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 mark for customer service bots .