Google’s AI Speaks: Automating Business Conversations

27 Jul 2025 · 8 min

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AI Today Podcast Episode Notes

Episode Title

Google’s AI Speaks: Automating Business Conversations

Episode Overview In this episode, the podcast delves into Google's latest initiative to automate business conversations through AI. The discussion highlights the practicality, ethical concerns, and effectiveness of this technology in real-world applications.

Key Concepts and Discussions

Introduction to Google's AI-Powered Business Calling

  • Google has introduced an AI-powered feature allowing users to automate business calls.
  • This feature aims to streamline the process of obtaining information from businesses without needing to make a call personally.
  • The technology has been in testing since January and is now available to users in the U.S.

How the AI Calling Feature Works

  • Process:
  • Users can find a business via Google Search or Maps.
  • After selecting a business, users can input their questions or requests (e.g., pricing information).
  • The AI, identified as a bot, places the call on behalf of the user to gather the required information.
  • User Interaction:
  • Users provide details such as services of interest, contact information, and urgency.
  • The AI communicates with the business, stating it is calling on behalf of the user.

Features of the AI Technology

  • Utilizes Google's Gemini 2.5 Pro model for reasoning and language processing.
  • Compares to previous AI models from Google that received criticism for not adequately informing businesses they were speaking with an AI.

Ethical and Practical Considerations

Pros

  • Efficiency:
  • The AI can quickly gather pricing information from multiple businesses, saving users time.
  • Reduces the need for users to engage in potentially lengthy conversations with multiple businesses.

Cons

  • Local Business Concerns:
  • Local businesses may feel disadvantaged as they cannot establish rapport or showcase their unique offerings.
  • There's a risk that the AI may not extract nuanced information that could influence the decision-making process (e.g., quality of services/products).

Consumer Experience

  • Users may prioritize price over quality when relying solely on AI for information.
  • The podcast host raises concerns about missing valuable insights that can be gained through direct human interaction.

Google's Broader AI Initiatives

  • Discussion on upcoming AI features and updates from Google, including enhancements to the AI mode that competes with platforms like ChatGPT and Perplexity.
  • The potential for increased AI adoption as Google expands its offerings in the AI space.

Conclusion

  • The AI-powered calling feature represents a significant step forward in business communication automation.
  • While it offers substantial convenience, it also raises important questions about the depth of information and relationship-building in customer interactions.

Call to Action

  • Listeners are encouraged to provide feedback by liking the episode on YouTube or leaving a review on podcast platforms like Apple or Spotify.

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Transcript

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0:00Google is rolling out a new AI powered business calling feature. There's some controversy from the past, but also a really interesting new way to get info from businesses without actually having to call them yourself. You send Google and their AI agent to do that. This is rolling out to users in the United States. And there's a whole bunch of really interesting features that are coming that are shipping with this, essentially. So before we get into all of that, I want to mention if you want to try any of the latest AI models on my platform, AIbox.ai, which has just released our beta. There is a playground that lets you access the top 40 AI models, all for$20 a month.

0:37So you get access to Anthropic, Cohere, DeepSeek, Google, Meta, Mistral, OpenAI, tons of others, Grok, image models like Black Forest Labs, Ideogram, the image model from OpenAI, and text-to-speech models like 11 Labs. So there's tons of different models. You can chat with all of the models in the same chat thread. Just switch whatever model you want to talk to, depending on what your use case is. And you can compare the results, ask the same question to multiple AI models or get multiple, get your response regenerated by different models to see which one you like the best. So anyways, if it sounds interesting to you, you can go over to AIbox.ai and check it out.

1:12There is a link in the description. All right, let's get into what Google has rolled out here in what people are calling a pretty big update as far as making something useful that people actually use. So they're calling this an agentic AI powered business caller. The thing about it is like, I don't know if I've necessarily call this agentic, like it, I guess it accomplished the task for it does a call, but it's just it's asking very basically a question. And then it's kind of like hanging up. It's it's a workflow. It doesn't it's not really thinking or doing too much other than that. So I don't know if we want to call this an agent yet.

1:48But people have different definitions of agents. In any case, this is rolling out to users in the US. they've actually been testing this since January but you had to be you kind of had to opt in on their their AI labs platform or whatever so to be actually be able to test this but now everyone is going to be able to use this it's using Gemini 2.5 Pro so this is their best AI model to do the you know the LLM and kind of the reasoning element of this and then they're using their own voice models. So they, a couple of years ago, they had some sort of tool that was similar and got a lot of criticism.

2:25It definitely wasn't as good as what they're rolling out now. But the thing that people didn't like is there were, you know, businesses or people were just thinking that they were talking to an actual human. So they've, they've said, okay, we're going to identify ourselves as an actual bot when we call. So the way this essentially works is you'll be able to go to something like Google search or, you know, or like Google maps, find a business that you're interested in contacting. So if it was like a pet groomer, you'd click on the groomer. And then you're going to be able to fill out a bunch of information.

2:57So essentially, you get a pick that you want to, you want to, you know, it's quote, unquote, it says, have AI check pricing, or whatever. So you get the AI initiated, it's going to ask you some questions, right? So you're going to say, like, what services are you specifically interested in? When are you looking to do this, you can say as soon as possible, what's your contact details, you can put your email and phone number in there. And then, you know, what city are you based out of? You put your city. Okay, so you hit submit. The AI will then go and call the business and says, I think before it actually makes a call, it's going to say, hey, I am an AI from Google calling on behalf of a user to get some information about your business.

3:39And then we'll say, you know, like, hey, I'm the user. You know, Elsa is interested in a nail trimming service and she's interested in doing it as soon as possible. She's based here in the city, blah, blah, blah, blah. And, you know, asks what their info is. Once they get that back to you, Google will send you the information. So now you have, you know, what the pricing is. And this is super useful in my opinion. And because essentially like, if I was interested in getting the pricing from like, I don't know, I wanted to shop around and get the pricing on like a pet grooming package from a bunch of different companies.

4:14And, you know, you call them all up and talk to them all. and get sucked into a conversation with five different people just to compare pricing. This seems like a really fast way to do it. But I think from the business side, maybe they don't like it as much because I'm thinking from myself, you know, I own a podcast studio in Arizona that I have used to run my podcast for a long time. And at this point, it's just a local business that my studio manager, he runs that for me because I've moved to the other side of the country. but um you know answering phone calls like that a lot of times local businesses like to kind of like you know ask them about their pet or ask about their you know whatever they're calling about and get more information and try to like build rapport so they're gonna you know use them and book with them and so i think a lot of local businesses will feel maybe a little bit annoyed just giving the information to an ai who it knows is just going to shop around at like five to ten different businesses, and then just deliver the lowest price.

5:11And you don't always get to sell yourself or your extra features or extra service, you know, like, and I'm sure we've all experienced this talking to people. So maybe it's, maybe it's annoying. I don't know. I'm just trying to think from a local business perspective. But, you know, a lot of times when someone's like, hey, like, I want to get a dog grooming package, like, okay, well, you got to make sure that like the shampoo you use on the dog is like eco friendly, and it's going to be, you know, good for their skin and blah, blah, blah. We always use that kind of shampoo, blah, blah, blah, right?

5:37Like you can find some element and talk up about why you're the highest quality and maybe not the lowest price. Meanwhile, you might call the next guy and he's like, yep, we get you in like in 10 minutes and we'll get it done really quick, blah, blah, blah, blah. But he's using like lower quality products. I don't know. This is just a theoretical example, right? So when you make those calls, you kind of want to sell yourself. And I think people will be annoyed if an AI is literally just asking them, what's the bottom line price? And so users will like it if they're really price conscious. but you may not always get the best quality and you might not know maybe not quality but you might not know about that extra information maybe you don't even know what question you should be asking when you're calling a roofer about some sort of roofing you didn't get to find out that there's you know this cheap shingle and there's an expensive shingle and you know the expensive ones a way higher quality and so now you're going to go with the cheapest quote you got out of five roofers but it's going to be the lowest quality thing so there's like definitely some pros and cons here.

6:31Is it useful? Yes, I would definitely say it's useful. But sometimes like when you're doing the research, and you're calling these companies, you're getting more information than just what I feel like an AI model is going to extract out of them, you'll you might learn a little bit more, maybe you learn that there's different qualities of material. And then when you call your next person, and you're still asking for quotes, you ask, you know, what, you know, level of asphalt is on the shingle. And, you know, what the how many years it's rated for, and then you find out it's less and then you're going to go with the original one even if it's a little bit more money.

7:01I don't know, right? So this is the things that I think about when it comes to this. In any case, this should be a very interesting tool. I'm excited for it to be launched. I would definitely use it. I see some serious value in it. In addition to this, Google's also doing a whole bunch of updates to their AI mode where you're actually able to ask questions. They have a deep research and they're adding Gemini 2.5 Pro to power the new AI mode. So it's essentially a competitor to perplexity. They didn't really want to completely replace Google search. So they just made something called AI mode, which is basically, you know, competing with chat GPT search and perplexity.

7:36So a whole bunch of new things rolling out from Google. It's definitely going to increase adoption of AI. I'm excited to see how it goes. It's interesting to see Google get into automated voice calling. This is obviously a very interesting industry. So it'll be interesting to see how Google actually rolls this out. If people find this useful or if they feel like they're missing different data points when talking to companies like I kind of talked about. In any case, thank you so much for tuning into the podcast. I hope that this was useful. If it was, the thing that would mean the world to me is if you could like this video on YouTube if you're watching it there or leave a rating review over on Apple or Spotify or wherever you get your podcasts.

8:12Thanks so much for tuning in and I will catch you in the next episode.

From the publisher

Google’s AI Speaks: Automating Business Conversations is taking voice AI from concept to commercial reality. We break down the privacy, ethics, and effectiveness of AI-driven calls.


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