Jargon Off: Agentic AI and why the industry heavyweights are so into it
Why are companies like Tesla and Salesforce betting big on agentic AI? In this episode, we explain what an AI agent is and how these agents are already powering real-world decisions.
Script
Industry giants like Tesla and Salesforce are making substantial investments in agentic AI. To understand why, we first need to define what an AI agent is.
In short, it’s software that can think.
Imagine a relay race.
Without an agent, AIs run their stretch, stop, and wait for instructions. An agent doesn’t. It grabs the baton, looks at the track, and decides the next move by itself. That’s what makes it an agent.
Now, if we go back to the two companies we started with, Tesla and Salesforce, here’s how they’re using agentic AI:
Tesla uses agents to drive cars. Its autonomous driving stack relies on highly sophisticated agents that observe the environment, decide on acceleration, braking, and steering, and act in real time.
Salesforce uses them to automate sales workflows. Imagine a sales agent that can draft an email, research the prospect’s company, select the right pricing tier, and schedule a follow-up meeting. All you do is approve the final message.
These examples make one thing clear: agentic AI changes how we interact with technology. And at Boltzbit, our agents are powered by instant learning technology, continuously adapting to users and context in real time, dramatically reducing the time and cost required to train them.
