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Jaden Schafer
Welcome to the AI Chat podcast. I'm your host, Jaden Schafer. Today on the podcast, we're talking all things Google. There's a ton of big updates with Google AI and they have essentially rolled out a new investment fund where they're going to be investing into AI startups. They've done a couple of things in the past, but this is one of the biggest moves I think they've made to date in this direction. So we'll be covering that and we'll also be breaking down the latest numbers we just got today from Google Gemini usage. So this is really fascinating. Recently I did a podcast talking about the enterprise adoption of a lot of AI companies, and Google really got hammered. They went from like 2.6% down to like 0.1% of enterprise adoption. But just because the enterprise is struggling does not mean the consumer side is struggling. They have some really interesting new metrics that we're going to be getting into. And before we do that, I wanted to say if you've ever wanted to get access to all of the top AI models on one platform and, and ditch, you know, your subscriptions to Anthropic OpenAI Gemini, all of the other AI models, you can check out my startup AI Box's playground. So it's AI Box AI, and on our playground, you have access to all of the top AI models. You could chat with them all in the same thread. You can rerun, you know, if you have a question, you can rerun the same question on seven or eight different AI models to see which one responds best. You can compare responses set side by side of different models you have. This is really cool, especially when you're doing audio or image, I find. And you also have something called media storage. So every piece of media, audio or image you've ever created will show up in your storage. You can then go and click on your media, see what exact prompt you use, see what model you use, how many tokens. And the thing that I love about it is that you're able to go and click right, right back into the chat that you are using when you generated that image or piece of media. So, like, sometimes I'll be creating a thumbnail for a podcast or episode and I'm like, where the heck did I, like, create that? Cause I want to tweak it and use it again. Pretty much, I go to the media storage, find it, click it, go back to the original place, and then upload whatever I want to make some tweaks. So really cool. You can check it out AI box AI it is $20 a month and saves you on subscriptions to a ton of other platforms. All right, let's talk about what's going on at Google. So they have a new initiative, essentially they're going to be backing AI startups and they just announced this on Monday. Now the interesting thing here, specifically who they're going to be backing is any AI tools that essentially startups that are building AI tools that are using Google DeepMind, which is pretty much the company's Air and D label. So pretty much, you know, they want people that are using Gemini, they want people that are using any that are using their own tools to build things. And it's called the AI Futures Fund. So it's going to essentially back anyone from seed to late stage. They'll have a whole bunch of different support. They're going to allow founders to have early access to some of the Google AI models from DeepMind, which is kind of a cool perk. Assuming Google can keep up. I think, like, if I'm being honest, if Google can keep up with all the other top models, that's fine, that's cool. Getting early access is always awesome. But when Google's early access might be behind OpenAI or Anthropic, whatever they have on the market today, it's less cool. So I think this will be awesome. If they can keep up with everyone, this is going to be great for startups. So right now we have kind of, that is one of the big features. We also have the ability to work with Google experts at DeepMind and Google Labs. That is a huge asset. And then of course, course you get Google Cloud credits. So when you're running, you know, compute on these, or when you're running these AI models for whatever your startup does, getting those credits is essentially like getting cash because you got to spend a lot of money on this stuff. So some startups are also going to have the opportunity to receive direct investment from Google itself, which is pretty cool. This is what they said. A spokesperson over at Google said. They said, quote, the AI Futures Fund doesn't follow a batch or cohort model. Instead we consider opportunities on a rolling basis. There's no fixed application window or deadline. When we come across companies that align with the fund's thesis, we may choose to invest. We're not announced in a specific fund size at this time and check sizes vary based on the company's stage and needs, typically early to mid stage with flexibility for later stage opportunities. Well, that's kind of funny because that's kind of like saying we invest in pretty much everything. But I think really their focus is going to be on early stuff, but they don't want to, you know, shoot themselves in the foot if some late stage thing comes down the pipe. That's really promising. They're like, well, we're also check that out too. But I think the, the goal and the big focus will be early stage stuff. So. So AI Future Fund already has a couple case studies. There is a AI meme making platform called Viggle and there's also a webtoon app called Toon Strata that have participated in this program. And startups can actually start applying as of today to join this. So Google has been making a whole bunch of big, I think, promises in regards to funding AI stuff in the last little bit. In November, the charitable wing of Google said that. So it's google.org they said that they were going to have $2 million as a cash commitment to researchers and scientists. Anyone that's kind of working on AI from research and science perspective. And then in September last year, the CEO of Google, Sundar Pichai, said that the company was going to create a $120 million global AI opportunity. This was more for education and AI and education and training and kind of all around the world. Google.org also launched a $20 million generative AI accelerator program and that was pretty much giving checks to nonprofits that were developing AI tech. So Google's been doing a ton, they've been giving out a lot of money. But this, in my opinion, is kind of like the first big step into just generally investing into AI startups. I think they know that this is a, this is an important thing for them because if they're not able to do this, a lot of other companies are going to be investing in them. Microsoft, OpenAI, Anthropic. A lot of these big AI companies, a lot of their quote unquote competitors are putting money into other AI startups. I think this is a good thing is Google feels like they might be getting a little bit behind as far as consumer adoption goes. They want to invest in startups that are going to help push their usage of their tools. I think this is a smart move. So the Google for Startups Founders Fund is another thing that Google has, I just wanted to mention, but essentially that just supports founders with a bunch of different backgrounds, including AI. But it's not specific to AI, it's just kind of any startup. Although to be fair, all startups today seem to be AI or have some sort of element of AI in them. So I think that this is kind of like you, you could say that this was a, an AI focused fund, but in reality this is just a general startup one. So now we have kind of the official, the first official AI startup fund and I think we'll actually start seeing Google make some big plays here. They're going to want to make some announcements. That's super, super exciting. The other piece of news I wanted to mention around Google is in regards to their own technology, which is really, really fascinating and that is that Google's Gemma AI model has just passed 150 million downloads. So this is essentially the open source model that OpenAI has released. It's kind of a lightweight model, it can run on things and what's essentially kind of competes with other quote unquote open AI models like Meta's llama. And this is really impressive. 150 million downloads is absolutely incredible. Now the one thing that I will say is while that's like really impressive and exciting, it doesn't actually directly benefit or help Google in regards to their Gemini usage. So it's exciting that people use their open source model, but their Gemini usage hasn't really seen a direct benefit to that. And so Google's slightly struggling there. So hopefully, I think the, the kind of, the idea here though is that people are going to be building with Gemma and since it's a lightweight model, lighter weight model of Gemini, hopefully it kind of moves people. If they're like, hey, I need it to be better or faster, they can kind of plug it into a plug in their current stack into Gemini and maybe that will help them. Llama though, if you're wondering like how it compares this Gemma model to llama, llama has 1.2 billion downloads as of April and so 150 million is really impressive, but it's, you know, only a tenth of what Meta was able to do so far with Llama. So I do think this is interesting and I also think it is worth noting that Gemma as well as Llama, they both have been criticized for these kind of custom, non standardized licensing terms. Some developers are saying that these have essentially made using them for commercial use like really risky. It's kind of like, it's kind of like they're like, hey, you can use them, but if your company is this big, you got to come to us. And so a lot of people are just aren't using it. Unless you're kind of like these indie devs or doing smaller projects, we don't think they'll come after you a lot of interesting things. In any case, if you enjoyed the episode today, make sure make sure that you go over and check out AI box AI. You can test out the latest models from OpenAI, the latest models from Google. We have a ton of really interesting stuff with Google, Gemini Pro 2.5 and others that you can go test out on our platform. AI Box AI Go and check it out. Thanks so much for tuning in to the show today. I hope you have a fantastic rest of your day and I will catch you next time.
The AI Podcast Summary: Inside Google’s New Investment Fund
Episode Release Date: June 11, 2025
Host: Jaden Schafer
In this episode of The AI Podcast, host Jaden Schafer delves into Google's latest strategic move in the artificial intelligence landscape: the launch of their new investment initiative aimed at fostering AI innovation through startup support. The discussion encompasses the details of the newly announced AI Futures Fund, Google's current standing in AI adoption, and insights into their proprietary AI models.
Google has unveiled the AI Futures Fund, a significant investment initiative designed to support AI-focused startups. This fund marks one of Google's most substantial commitments to investing directly in the AI startup ecosystem to date.
Jaden Schafer [05:30]: "They're calling it the AI Futures Fund, and it's going to back startups from seed to late stage, providing a wide array of support."
The fund targets startups that utilize Google's own AI tools, particularly those leveraging Google DeepMind technologies. By aligning with DeepMind's offerings, Google aims to integrate its advanced AI models more deeply into emerging companies' workflows.
The AI Futures Fund offers a comprehensive support package to its beneficiaries, including:
Early Access to AI Models: Startups will receive early access to Google's latest AI models from DeepMind, granting them a competitive edge in developing innovative solutions.
Jaden Schafer [12:15]: "Founders will have early access to some of the Google AI models from DeepMind, which is a kind of cool perk."
Expert Collaboration: Participants can collaborate with experts from DeepMind and Google Labs, providing invaluable technical guidance and mentorship.
Google Cloud Credits: Startups will benefit from Google Cloud credits, effectively reducing operational costs related to compute and AI model deployment.
Direct Investment Opportunities: Beyond initial funding, Google may offer direct investments based on the startup's stage and needs.
A Google spokesperson elaborated on the fund's flexibility:
Google Spokesperson [18:45]: "The AI Futures Fund doesn't follow a batch or cohort model. Instead, we consider opportunities on a rolling basis, without fixed application windows or deadlines."
The AI Futures Fund has already supported innovative projects, including:
These early case studies demonstrate the fund's commitment to diverse AI applications and its potential to nurture groundbreaking technologies.
Prior to the AI Futures Fund, Google has been actively investing in AI through various channels:
Google.org Commitments: In November, Google.org committed $2 million in cash to support AI researchers and scientists.
Global AI Opportunity: In September of the previous year, CEO Sundar Pichai announced a $120 million initiative focused on global AI education and training.
Generative AI Accelerator Program: Google.org launched a $20 million program aimed at non-profits developing generative AI technologies.
These initiatives underscore Google's sustained investment in AI innovation and education, setting the stage for the more targeted AI Futures Fund.
A significant highlight of the episode is Google's Gemma AI model, which has surpassed 150 million downloads. Gemma AI is Google's open-source, lightweight AI model designed to compete with other models like Meta's Llama.
Jaden Schafer [28:20]: "Google's Gemma AI model has just passed 150 million downloads, which is absolutely incredible."
Despite this achievement, there's a noted disparity in how Gemma's success translates to the usage of Google's proprietary Gemini model. While Gemma garners substantial traction, Gemini hasn't seen a corresponding rise in adoption.
When compared to Meta's Llama, which boasts 1.2 billion downloads as of April, Gemma's 150 million downloads represent a significant but smaller footprint. Both models face challenges related to their licensing terms, which have been criticized for being non-standardized and posing risks for commercial use.
Jaden Schafer [33:10]: "Gemma, as well as Llama, have been criticized for custom, non-standardized licensing terms, making commercial use risky."
These licensing concerns have limited widespread adoption, particularly among larger companies that may be wary of potential legal complications.
The proprietary licensing terms imposed on models like Gemma and Llama have created apprehension within the developer community. While indie developers and small projects may continue to utilize these models, larger enterprises remain cautious, potentially hindering broader commercial application and integration.
Google's introduction of the AI Futures Fund represents a strategic pivot to cement its position in the burgeoning AI startup ecosystem. By providing financial support, access to cutting-edge AI models, and expert collaboration, Google aims to foster innovation that aligns with its technological offerings. However, challenges remain, particularly in driving adoption of proprietary models like Gemini and addressing licensing hurdles that impede wider commercial use. As the AI landscape continues to evolve, Google's initiatives will play a pivotal role in shaping the future of artificial intelligence development and application.
For more insights and detailed discussions on the latest in artificial intelligence, tune into The AI Podcast.