The AI Daily Brief: Artificial Intelligence News and Analysis - GenAI is Being Adopted Faster than PCs or the Internet

Episode Date: October 5, 2024

Generative AI is being adopted faster than both PCs and the internet! A new study from the Harvard Kennedy School, Vanderbilt, and the Federal Reserve Bank of St. Louis reveals that 39.4% of the U.S. working-age population has used AI, with 32% using it weekly. Explore the study’s findings on workplace adoption, AI's impact on different job sectors, and how AI is already shaping the economy and labor force. Tune in for insights on how AI is changing the game faster than any previous technology wave. Concerned about being spied on? Tired of censored responses? AI Daily Brief listeners receive a 20% discount on Venice Pro. Visit ⁠⁠⁠https://venice.ai/nlw⁠⁠⁠ and enter the discount code NLWDAILYBRIEF. The AI Daily Brief helps you understand the most important news and discussions in AI. Subscribe to the podcast version of The AI Daily Brief wherever you listen: https://pod.link/1680633614 Subscribe to the newsletter: https://aidailybrief.beehiiv.com/ Join our Discord: https://bit.ly/aibreakdown

Today on the AI Daily Brief, generative AI adoption is going faster than the PC or the internet. Before that in the headlines, OpenAI releases a new interface and it's good. The AI Daily Brief is a daily podcast and video about the most important news and discussions in AI. To join the conversation, follow the Discord link in our show notes. Welcome back to the AI Daily Brief Headlines edition, all the daily AI news you need in around five minutes. We kick off today with yet another OpenAI update, but one that is sort of expected but still really cool. Basically, for a little while now, it's been clear that part of the battle when it comes to the state of the art and AI is not just about models themselves or even this new sort of agentic break that we're seeing with 01, but also just about simple user interface and user experience. Anthropic really jumped out ahead of OpenAI in this front when they announced their artifacts feature.

Basically, artifacts was a second window that came up alongside the prompt window that allowed you to better see the document that was being built by Claude as it was. happening. And while it seems like a small UI upgrade, it was a significant one, one that was meaningful enough that many people, myself included, were often finding themselves going to Claude even more often just to get access to that interface. Well, now OpenAI has announced their own version, and they're calling it Canvas. It does something very similar to Claude's artifacts where it opens a second window to view and edit AI projects. Daniel Levine, a product lead at OpenAI said the core thing we're trying to solve is a better way to collaborate with ChatGBT on writing and coding. Still, there's some things that are a little bit different about Canvas that

are really cool as well. In an announcement post, they write, with Canvas, chatchipt can better understand the context of what you're trying to accomplish. You can highlight specific sections to indicate exactly what you want chat sheet pt to focus on. Like a copy editor or a code reviewer, it can give inline feedback and suggestions with the entire project in mind. So this feature then allows chat chabit to suggest inline edits, automatically adjust the document length to be shorter or longer, adjust the reading level, anywhere from kindergarten to grad school, check for grammar, clarity, and consistency, or even add emojis, which Sam Altman would go on to suggest is the best feature that they've ever pushed. One of the big game changers in image generation AI was when

tools like Mid Journey allowed you to start modifying very specific sections of the image, rather than just having to repromp the whole thing, and this is sort of the equivalent for writing both words and for code. This is one of those things that now that it exists, is basically impossible to believe that it didn't exist up till now. It's just such a much more intuitive way to interact, but it is such a huge improvement and one of that I think really will benefit basically every chat GPT user. Now, while that was the main focus with OpenAI yesterday, there was yet another notable departure from the company as well. One of the leads on SORA OpenAI's video generator left to join Google. Tim Brooks announced on Twitter slash X, I will be joining Google DeepMind

to work on video generation and world simulators. Can't wait to collaborate with such a talented team. I had an amazing two years at OpenAI making SORA. Thank you to all the passionate and kind people I worked with, excited for the next chapter. Now, this whole idea of a world simulator seems to be really the focus. DeepMind CEO, Demis Heshabis said, so excited to be working together to make the longstanding dream of a world simulator a reality. In terms of what a world simulator is, deep mind researchers explained it in a 2023 paper by saying, applications of a real world simulator range from controllable content generation in games to movies to training embodied agents purely in simulation that can be directly deployed in the real world.

As always, there could be some very simple personal reason for Tim Brooks leaving, but it does bring up further questions around SORA, which while blowing people's socks off with its previews back in February when it was announced, seems to have lost a lot of ground from rivals like Luma Runway and others. Just as I began to record this, I also saw that META had released some new video generation models, which I'm sure we'll be talking about next week. There's also the competitive dimension, where, as TechCrunch puts it, OpenAI has appeared to seed valuable partnership ground to video generation challenges in recent months. They point to stability, recruiting James Cameron to be on its board, and a deal between runway and Lionsgate to train a

custom video model on Lionsgate's movie catalog. Now again, this doesn't mean that we're not going to see something amazing from SORA that redefines our expectations of what can be, and it also doesn't mean that we're not about to see it announced some big partnership with a studio that's just happening behind the scenes. Still, any sort of departure like this is going to bring up questions, for which, of course, right now we don't have answers. One thing we do have answers for is what the demand looks like for Nvidia's newest Blackwell AI chips. According to CEO Jensen Huang, the demand is, quote, insane. During an interview on CNBC, Jensen said,

Blackwell is in full production, Blackwell is as planned, and the demand for Blackwell is insane. Everybody wants to have the most and everybody wants to be first. He continued, Nvidia's stock love the news, gaining 4% in an otherwise flat market. Basically, every time you want to think that we're past any sort of hype cycle, the Nvidia train just keeps on rolling. For now that, that is going to do it for today's AI Daily Brief Headlines edition. Next up, the main episode.

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Today's episode is brought to you by Super Intelligent, which is, of course, our platform that helps you learn how to use AI tools and perhaps even more importantly, gives you ideas on the best use cases that are actually going to help you achieve whatever it is you want to achieve. To recognize the end of summer and back to school slash back to work, we are running our best promotion ever. When you sign up for Superintelligent, using code so back, your first month will be 100% free. The platform features over 600 fun, highly practical AI tutorials that get you using AI fast and

with an eye to actually transforming how you get things done. We've just launched Super for Teams. So if you have a group of people at your company that want to figure out how to use AI together, I highly suggest you check it out. But for those of you who are using Superintelligent as an individual, once again, if you sign up for Superintelligent between now and the end of the month using code so back, you will get your first month 100% free. Go to BeSoup. and check it out today. Welcome back to the AI Daily Brief. Today we are talking about how generative AI adoption is moving faster than both PC and

internet adoption. And moreover, this is a study from an extremely reputable source. You guys might have seen this study floating around. It came out on September 20th. It was called the rapid adoption of generative AI and it was written by someone from the Harvard Kennedy School, someone from Vanderbilt. and someone from the Federal Reserve Bank of St. Louis. In other words, this isn't a Microsoft-supported study or something like that, saying AI is growing fast.

It's from a group that doesn't have any stake in the results of what they found. Now, what apology in advance for those of you who are watching this? This is going to be a much less visually interesting piece, as it's really just me summarizing a study. But we're going to do what we can. And maybe I'll ask the editors to throw in some B-roll here and there. So this study is interested in the economic impact of AI. and the way that they're coming out that was the question how quickly and intensively AI is being adopted.

Importantly, the data from this survey was really recent. It was just captured in August of this year. And some of the headline statistics are really profound. 39.4% of the working age population has used AI, and 32% overall said they were now using it at least once a week. Keep in mind, this is a technology that is less than two years old, and a third of adult Americans are using this thing at least once a week. Now, digging into workplace numbers, they were even more revealing.

28% of employed respondents said they had used AI at work, and 24% said they were using it at least weekly. 10% reported daily use. A couple of other things that I thought were really interesting about this study. First of all, we definitely have a tissue Kleenex situation where ChatGBTGPT is by far and away the most used service. In fact, it is enough associated with GenAI that the paper took the release of ChatGPT as day zero.

This is where the comparison to the Internet and PC came from, with the internet seeing 20% adoption in its first two years, whereas PCs took three years to get to 20%. So given that AI is seeing 39.4% adoption after two years, basically AI is outpacing the internet by a factor of two. Now, one of the interesting things in the study is that part of the reason that AI is being adopted faster is that while rates of adoption at work are fairly similar to PCs in the internet,

AI is being adopted outside of work much more quickly than previous technology. This sort of makes sense, right? In 1984, for example, PCs were extremely expensive, but worth it for workplaces due to massive cost savings and document processing and file storage, but in the case of AI, it's obviously very cheap outside of work. People have access to tons and tons of free tools that are really interesting, fun, and useful right now. Basically, whereas PCs were an unaffordable luxury at home well into the early 90s, people can get their feet wet with AI right away. When it comes to AI usage at work, on the one hand, there are some things that are not surprising, programming and management work leads the way with nearly 50% adoption.

But at the same time, 22% of blue-collar workers said they've used AI in their profession, and 16% said they were using it on a weekly basis. In fact, aside from personal services, every single job category had at least 20% adoption, which was classified as having used AI at least once in the past. One concern that the report flagged was workplace inequality based on AI usage. Workers, for example, without a bachelor's degree are half as likely to have used AI at work, as their college-educated counterparts, and just broadly, AI usage is more common among younger,

more educated in higher-income workers. Then again, part of what makes the inequality question even more complicated in this circumstance is that it's a lot of these jobs that are most on the chopping block from AI as well. The fact that it is white-collar jobs like programming that seem most in the eye of the hurricane is a fundamentally different phenomenon

to past technology waves that we've seen. Now, when it comes to what people are using AI for, writing by far leads the way, probably reflecting chat GPT's dominance. That's both at work and outside of work. At work, performing administrative tasks is also high on the list. And both inside and outside work, interpreting, translating, and summarize are fairly high. What's interesting is that outside of work,

there are a lot of uses which have some meaningful uptake that are different than those happening at work. The number of people using it for tutoring or education is much higher outside work than inside work. People outside of work are using AI for things like entertainment recommendations, health and wellness, recipes and cooking, support with friends. and family, and even home improvement. Now, of course, this coming from the St. Louis Fed, the main focus was to try and understand what growing levels of AI adoption might do to the economy and to the labor force. Specifically, they're interested in time-saving and productivity.

Researchers showed the data for which tasks were being assisted by AI in the workplace and raw firm and found that for each of the 10 groups of tasks, over a quarter of the people using AI were applying the technology to that task. Writing, summarizing, obtaining instructions, and searching for information were all use cases for over 45% of people who have integrated into their workflow. But in general, what this section really shows is that once workers adopt AI, they use it in as many ways as they possibly can. The survey also found that the more frequently people use AI, the longer they use AI. Although only 25% of AI users said they were using it for an hour or more day at work, 42% of daily users said they were spending more than an hour each

day using AI. Applying some extremely back-of-the-napkin math, the report suggests that between 0.5% and 3.5% of all work hours are already AI-assisted. What makes this stat interesting is that it's driven almost entirely by the power users, with 76% of workers reporting zero hours a week using AI. The implication is that when use cases are found, AI use jumps up dramatically to become a ubiquitous part of the workday. Overall, there is a ton of interesting stuff in this study. I very much suggest you go check it out. For now, though, that is going to do it for today's AI Daily Brief.

Once again, Gen AI being adopted faster than the PC or the internet. And of course, until next time, peace.