Ep 689: ChatGPT doubles down on healthcare, Google’s shopping and hardware push, and more

Episode Categories:

AI-Powered Retail, Healthcare, and Hardware: A Detailed Look at This Week’s Impactful Advances

This week’s developments in AI offer concrete changes for enterprise leaders. Shifting from splashy generalizations to actionable updates, the latest moves by Google, NVIDIA, OpenAI, and other major players in AI signal critical opportunities across retail, healthcare, and consumer technology. Here’s what decision-makers must know.


AI Shopping Assistant Integration: Google and Gemini’s Strategic Retail Partnerships

Google’s announcement of AI-powered shopping functionality within its Gemini chatbot raises the stakes in the retail sector. Key partnerships with Walmart, Wayfair, Shopify, and others were forged at the National Retail Federation convention, underscoring the immediacy of Google’s agentic checkout ambitions.

Through Gemini, users will be able to search for products and execute purchases directly in-chat, using integrated payment methods (including PayPal). Walmart’s integration stands out: shoppers linking accounts will receive customized recommendations and can add Gemini purchases to their existing Walmart or Sam’s Club cart. This direct-to-chat transactional capability positions Google in direct competition with OpenAI and Amazon for agentic shopping—an area currently limited in scale for rivals. Notably, Google’s emphasis on bringing its core search and shopping funnel into a chatbot interface amplifies conversion opportunities and is slated for US rollout first, with plans for international expansion.

Key insight: Retailers and e-commerce platforms must evaluate integrations with conversational AI for frictionless transactions, digital merchandising, and personalized upselling.

Healthcare AI Expansion: OpenAI, Anthropic, and Enterprise Medical Applications

OpenAI launched ChatGPT Health for US consumers, enabling direct uploads of data from Apple Health, Peloton, MyFitnessPal, and personal medical records for tailored wellness advice. Early usage statistics indicate over 230 million weekly health interactions—a sign of rapid grassroots adoption.

Separately, OpenAI unveiled ChatGPT for Healthcare, a dedicated enterprise suite for researchers, clinicians, and administrators in institutions such as Boston Children’s Hospital, Cedar Sinai, and Stanford Medicine. This workspace, powered by the GPT-4.5 series, supports integration with tools like Microsoft SharePoint and clinical documentation workflows. Enterprise customers retain control over sensitive patient data, with enhanced privacy safeguards including HIPAA-compliant agreements and customer-managed encryption.

Anthropic quickly answered with its own healthcare data features, intensifying the sector’s AI competition. Notably, OpenAI reports its clinical models were evaluated by hundreds of doctors and delivered more empathetic responses than humans in blind tests—a result that highlights the shifting perception of bedside manner and medical documentation.

Key insight: Hospital administrators, insurers, and healthtech platforms must factor in rapid deployment and data governance strategies for AI in patient care, clinical documentation, and HIPAA-compliant data handling.

AI Hardware Developments: NVIDIA Rubin Platform and Consumer Applications

NVIDIA’s CES keynote unveiled the Rubin platform, an advanced AI computing architecture designed to lower token generation costs by up to 90%. This optimization directly impacts the compute budgets for AI labs and businesses deploying large-scale models. The Rubin platform’s tight integration of GPUs, CPUs, networking, and storage streamlines AI workloads, reducing bottlenecks across industries.

NVIDIA also introduced AlphaMaya, a vision-language-action model family for autonomous vehicles. With immediate application in new Mercedes-Benz models (US debut scheduled), this move places NVIDIA as a top contender in commercial self-driving technology. The company’s DGX Spark desktop supercomputer demonstration emphasized robust, local agent-based AI—once reserved for full-scale data centers, now available in desktop form factors.

Key insight: Automotive firms, OEMs, and device manufacturers should calibrate R&D and procurement strategies for AI hardware that enables local inferencing, agentic autonomy, and direct integration with consumer products.

Gmail’s AI Inbox Preview: Summarization and To-Do Optimization

Google debuted an early access AI inbox preview for Gmail, replacing traditional email lists with AI-generated actionable summaries, to-do lists, and topic organization. Currently, this feature is exclusive to consumer Gmail accounts (not Google Workspace), but the ability to surface archived conversations and link directly to relevant messages offers concrete workflow enhancements.

Key insight: Workflow automation companies and digital productivity startups should anticipate AI-generated summaries as default productivity features, stressing integration readiness before enterprise-wide rollout.

Regional AI Adoption and Digital Inequality: Insights from Microsoft’s AI Economy Institute

A landmark report identifies that generative AI reached 1.2 billion users globally—with the UAE (64%) and Singapore (61%) leading workforce adoption. The US, despite commanding the bulk of AI infrastructure, ranks 24th at 28% adoption; this highlights a deep disconnect between infrastructure investment and operational usage. Gaps are most pronounced between the global North (average 25% adoption) and South (14%), and between gender lines for workforce AI deployment.

Key insight: Regional and sectoral disparities in AI adoption necessitate benchmarking and targeted change management to unlock latent workforce productivity benefits.

Meta’s Llama Benchmarking Controversy and Strategic Model Shifts

Meta’s internal admission of non-standard benchmarking (using different Llama model versions for separate tests) underscores the need for rigorous validation before public claims of model performance. With Meta reportedly considering a long-term pivot away from open source toward proprietary models, strategic planning for enterprise model selection and IP risk is increasingly essential.

Key insight: Enterprise AI buyers should scrutinize benchmark reporting, model provenance, and future commitments when considering open-source models for production use.

Alexa Plus and Gemini’s Expanding Hardware Ecosystem

Amazon’s launch of Alexa Plus for web and TCL’s debut of Gemini-powered Google TV are further evidence of conversational AI entering the home and office. While Amazon’s Alexa Plus has faced performance challenges, Google’s Gemini TV integration offers direct control of settings, visual search, and multimedia generation using voice prompts.

Key insight: Consumer device makers and service platforms must evaluate voice AI’s reliability and latency for embedded applications, potentially favoring solutions from proven providers.

In Summary: Immediate Actions for Business Leaders

This week’s news signals concrete shifts: from voice assistants and shopping agents to healthcare data handling and local AI supercomputers. Leaders must prioritize integration strategy, compliance readiness, model selection due diligence, and operational adoption benchmarks to capture the benefits of evolving AI technologies across retail, healthcare, hardware, and global workflows.




Topics Covered in This Episode:

  1. Google Gemini AI Shopping Integration
  2. Gemini Chatbot Instant Checkout Feature
  3. NVIDIA Rubin Platform AI Chip Launch
  4. Alphamaya Autonomous Vehicle Model Unveiled
  5. ChatGPT Health Product for Medical Data
  6. ChatGPT Healthcare Suite for Hospitals
  7. Google AI Inbox Preview for Gmail
  8. Gemini AI Assistant Features for Google TV
  9. Microsoft AI Global Adoption Report
  10. LG AI Home Robot Announcement at CES
  11. Meta Llama 4 Benchmarking Controversy
  12. Amazon Alexa Plus AI Web Launch
  13. Anthropic Healthcare AI Features Competition
  14. Emerging AI Model Infrastructure Trends
  15. Consumer AI Device Innovations at CES





Episode Transcript 


Jordan Wilson [00:00:16]:
This was kind of a weird week in the AI world. That's because even though there wasn't maybe one dominating AI news story like there usually is, there were dozens and I kid you not dozens of noteworthy AI advancements, updates, and controversies. Honestly, in a week, I haven't seen like this in a very long time. I mean, we have much smarter TVs now powered by AI. You can chat with a l e x a online. I gotta spell it out in case you're watching. I mean, Chatt GPT got into health care in two very big ways. NVIDIA changed what's possible with AI, and there's llama drama at Meta, and that's just the tip of the iceberg.

Jordan Wilson [00:01:08]:
Alright. So we're gonna be going over all of the AI news that matters in today's show. Welcome to Everyday AI. What's going on y'all? If you're new here, my name is Jordan, and this is Everyday AI. This is your daily livestream podcast and free daily newsletter helping everyday business leaders like you and me not just keep up with all the AI advancements, but cut away the fluff, cut away the marketing, and focus on what really matters, and that's growing our companies and our careers. So if that's what you're trying to do, awesome. Starts here with the daily livestream, podcast and a free daily newsletter. So, if you haven't already, make sure to go to our website at youreverydayai.com.

Jordan Wilson [00:01:47]:
Sign up for the free daily newsletter. We're gonna be recapping the highlights from today's show and a whole lot more. Also, in today's newsletter, if you didn't already know, right, we've been quietly rolling this out, to a select few. So, we did launch our new and updated prime prompt polished chat GPT course. It's been taken by more than 15,000 people previously. So we just launched the brand new version in our inner circle community. So if you want early access, make sure to go check out today's newsletter. I'm gonna tell you how to do it.

Jordan Wilson [00:02:21]:
Alright. Enough chitchat. Let's get into the AI news that matters for the week. Actually, I lied. I can chitchat a little more. Live stream audience, what's up? It's good to see everyone. Douglas joining from Indianapolis. Brian saying good morning.

Jordan Wilson [00:02:37]:
Heidi from Houston. Joe joining from Fort Lauderdale. I gotta give the livestream people more shout outs, a little bit more here. So thank you all for joining us. Yeah. Marie saying congrats to the Chicago Bears. Yeah. If you're if you're on the livestream or watching the video version, I had to do the the the the cheeky thing.

Jordan Wilson [00:02:55]:
I'm from Chicago. I had to wear my, my bears, holiday sweater. Right? Because the bears beat the packers. I don't know. Everyone else, did your, did your NFL team win or lose? I don't do it a lot. Right? But pretty big deal for the bears to beat the packers in the playoffs, so I had to do the cheesy thing. Sorry. Alright.

Jordan Wilson [00:03:13]:
Actual AI news. Let's go. So Google announced a major expansion of shopping tools into its Gemini chatbots aiming to let users search for products and complete purchases without even leaving the chat. So this was actually kind of some late breaking news from the National Retail Federation's annual convention in New York, a major retail industry event drawing about 40,000 attendees. So according to reports, Google is partnering with some major retailers to get this kicked off, including Walmart, Shopify, Wayfair, and other retailers to turn Gemini into both a shopping assistant and a virtual merchant. So there is a new instant checkout feature that will allow customers to buy items directly inside the Gemini chats using payment methods linked to their Google accounts with PayPal support expected to be added soon. Walmart said customers who link their Google and Walmart accounts will receive product recommendations based on past purchases and items bought through Gemini can be added to existing Walmart or Sam's Club online carts. Google said the AI shopping features will initially be available only to US users with international expansion plans in the coming months.

Jordan Wilson [00:04:32]:
So the move puts Google in direct competition with OpenAI and Amazon as those companies have rolled out similar features, although on a very limited scale, as everyone's trying to race, to bring agentic checkout and agentic shopping to large language models. So OpenAI and Walmart announced a similar partnership in October, allowing chat g p t users to instantly buy most Walmart products. However, at least within, CHAD g p t, I don't think that, OpenAI has really, highlighted this feature. It's actually I wouldn't say hidden, but you have to really be looking for it, to trigger this. Where I think I mean, we'll see. But my thought is, with Google, I mean, they're gonna be pushing this front and center. This is what they've been doing for, a decade plus at least, heavily winning, kind of the online top of funnel a, you know, search for shopping. So this one to me is another signal.

Jordan Wilson [00:05:35]:
Right? I don't know. I think the Internet's gonna die. Right? Think of all the things that we're doing over and over in every single big, AI company. Right? OpenAI, Anthropic, Copilot, Google. Everyone is bringing all of those day to day activities that we use the Internet for into chatbots. Right? Things like connectors and apps. Right? I find myself more and more each day spending less time on the Internet and more time doing things I used to do online in actual chatbot. So this, this big announcement from Google, the latest indicator that, yeah, I think, yeah, Internet's gonna die in some way, shape, or form.

Jordan Wilson [00:06:18]:
Right? How we've been using the Internet for decades, it's all moving into large language models, which is why I've been pushing the concept of AI operating systems for multiple years, y'all. That's why you gotta listen, to keep up and stay ahead. Alright. Our next yeah. Yeah. Doctor doctor Rasafas, says here, if you know, you know. Yeah. We keep you ahead.

Jordan Wilson [00:06:39]:
Alright. Big news from NVIDIA at CES. So NVIDIA founder and CEO, Jensen Wong, kicked off CES, the consumer electronics show in Las Vegas with a keynote and a series of announcements, really kicking off NVIDIA's next wave of AI computing. So Wong announced the Rubin platform, NVIDIA's first extreme code sign six chip AI platform now in full production and promising to cut AI token generation cost by 90% compared to previous platforms. And that piece is huge because essentially, if you use AI, there's a high likelihood unless you're using Google Gemini that in some way, shape, or form, it is powered by NVIDIA's chips. So, the Rubin platform and promise to cut token generation by 90% could be pretty big news in terms of what's possible and also costs that, big AI frontier labs have to pay on the front end. So the Rubin platform features tightly integrated GPUs, CPUs, networking, storage, and software altogether designed to eliminate bottlenecks and accelerate AI development across industries. Aside from the chips, maybe one of the biggest announcements from NVIDIA is, well, they're kind of positioning themselves to be a Tesla competitor, maybe.

Jordan Wilson [00:08:01]:
That's because, Wong also introduced Alpa Maya, an open reasoning model family aimed at advanced autonomous vehicle technology, including the first open reasoning vision language action model for self driving cars. So that one in and of itself could be the biggest story of the week if it does pan out. Right? When we talk about, you know, Tesla and their autonomous driving, yes, it's finally here in certain areas, but this is one of those things that we've been hearing about for, I don't know, at least ten years, and it's taken them that long to roll it out. So, NVIDIA ships fast. They move fast. They push the speed of AI. So, if you are a fan of, you you know, kind of autonomous driving, AlphaMile is a huge announcement. So NVIDIA's other, OpenAI models they announced train on its own supercomputers, span across six, different domains.

Jordan Wilson [00:09:01]:
That's health care, climate science, robotics, embodied intelligence, reasoning, and autonomous driving. So yeah. Really, obviously, NVIDIA putting AI absolutely everywhere they can. The company also showcased live DGX Spark, their desktop AI supercomputer, demonstrating personalized AI agents running locally and interacting physically through robots. So, yeah, I was actually at the, it was at their NVIDIA CES, show in March where they announced the DGX Spark, and then they did a live demo, which is really cool. Right? A legit supercomputer in the DGX Spark that used to take I don't know. If you looked ten years ago, it would have taken an entire data center, to get that level of compute. Now it's, you know, a small little think of it like a giant hockey puck.

Jordan Wilson [00:09:53]:
Right? The level of compute that you have in something like a DGX Spark is absolutely bonkers. Wong also revealed the first passenger car featuring the Alfa Mayo technology that will hit The US this year in the Mercedes Benz CLA following its five star safety rating in Europe. So, yeah, there was a whole lot more. Obviously, that NVIDIA announced at CES and more on CES announcement in a bit. Yeah. Marie said watch out Elon. Jensen is in the fast lane. Absolutely.

Jordan Wilson [00:10:27]:
Right. And everything if you don't know a lot about NVIDIA and you're like, okay, Jordan. How could NVIDIA, like, compete with Tesla? Right? If Tesla's been doing this for a decade and Tesla has millions of cars out on the road that are actively trading, how can a company like NVIDIA? Well, NVIDIA's actually powered the autonomous vehicle industry. Also, for a decade, people just don't really know about this. Right? Their chips, their software, it's all been in there. So this is just their first official, foray. Right? Slapping, you you know, a new brand name, on the Apple Mayo. Right? Luckily, I get to talk to really smart people at NVIDIA all the time.

Jordan Wilson [00:11:06]:
We have, partnership going back with them for a couple of years, and I've talked to some of their leaders, on the, autonomous vehicle side. So they've been doing a ton in this space, for a decade plus. I don't think people just know. So, you know, I saw a lot of chatter online. People are like, oh, Alpa Miles is not gonna do anything. You know, this is Tesla and and, you know, some of the other, companies. And I'm like, no. This is big.

Jordan Wilson [00:11:31]:
Right? Like, automatically, I think this makes NVIDIA, top three, name in the autonomous vehicle space. Right? Especially with it going open source. Alright. Surprising update here. OpenAI has launched a new chat GPT health product in The US allowing users to share medical records and app data for personalized health advice. So more than 230,000,000 people have already asked, apparently, ChattGPT health, and well-being questions weekly, making the launch especially significant. So, yeah, OpenAI came out with a report that said 230,000,000 people were already talking with ChattGPT about health on a weekly basis. So they are essentially spinning off a new product or a new version of ChattGPT that is targeted specifically for that.

Jordan Wilson [00:12:31]:
So ChattGPT Health lets users upload data from apps like Apple Health, Peloton, and MyFitnessPal as well as your personal medical records to receive tailored responses. So OpenAI says conversations in chat g p t health are stored separately from your other chats and will not be used to train its models. Even if you're on a free plan and let's say, yeah, even you have that feature toggled on for your normal chat g p t account by default, OpenAI is saying that they will not, train on ChatGPT health data. So, privacy advocates, including those from the Center for Democracy and Technology, warn that health data is highly sensitive and requires airtight safeguards because, yeah, there's obviously been a decent amount of outcry about this new offering from OpenAI and a lot of concerns that have been raised about firms collecting, sharing, and using health data, especially since US companies set their own data rules and may not be bound by strict privacy protections. So Chattopty Health is currently only available to a small group of early users in The US as it launched with a wait list that's open for others interested in joining. The feature has obviously not launched in a lot of other countries throughout the world that have stricter privacy and data rules as it may not be totally allowed to, run yet. So as an example, in The UK, Switzerland, in the European economic area, yeah, just because of stricter data protection regulations, not sure if this will launch in those areas or when. So OpenAI highlights enhanced privacy measures for ChatGPD Health, and also in kind of related news, like, literally a day after this, Anthropic also launched some health care record features, alright, intensifying their health care competition with OpenAI.

Jordan Wilson [00:14:30]:
So like I said, this is a separate technically, a completely separate product, from, OpenAI. So it's not like you're gonna be in, Chad GPT and use this, right, where it's like, oh, okay. Well, now I'm gonna scroll down and, you know, click this health button. It is a separate, separate offering altogether. So, I believe you will be able to still use your same account, but it's in two lives in two separate, silos, so to speak. So, I did sign up for the wait list. For me, if you listen to the show at all, I'm always like, here you go, big company. Take all my data.

Jordan Wilson [00:15:06]:
I don't care. I know I'm in the minority there. I know many of you probably aren't going to use this. Let me know, in the live stream, or Spotify comments, whatever. Let me know if you're gonna use this or not, or if we should pay attention to it more as it does become more readily available. Alright. In a very related news, yeah, OpenAI doubled down on health care this week. That's because they announced CHAD GPT for health care.

Jordan Wilson [00:15:33]:
So this is on the other side. So CHAD GPT Health is for, you know, consumers. It's for all of us individuals, but OpenAI also announced a version of this for health care companies. So, OpenAI has launched a new suite of AI tools designed for health care enterprises aimed at improving care quality and efficiency. So the major announcement is CHAT g p t for health care, a dedicated workspace powered by the latest g GPT five family of models and tested by doctors in real world clinical scenarios. Early adopters of the tool include major hospitals like Boston Children's Hospitals, Cedar Sinai Medical Center, Stanford Medicine Children's Health, and several others. So the platform is built for researchers, clinicians, and administrators offering integration with enterprise tools such as Microsoft SharePoint and templates for common clinical documentation tasks like discharge summaries and patient instructions. So ChachiPT for health care claims to draw on millions of peer reviewed studies and clinical guidelines provided cited responses to medical queries, but the company has not detailed safeguards against AI generated errors or hallucinated sources.

Jordan Wilson [00:16:50]:
So patient data and protected health information remain under the health care organization's control with options for data residency, audit logs, customer managed encryption keys, and HIPAA compliant business associates agreements. So OpenAI says content shared with ChetGPT for health care is also not used to train its models addressing privacy and data security concerns. The company has also released an API for health care, which is pretty big news, allowing developers worldwide to embed the latest AI models, including the very impressive g v t five two directly into health care apps and workflows with eligible customers able to apply for HIPAA compliance agreements. OpenAI reports that over 260 doctors from 60 countries have evaluated the g p two g p t five two models performance in more than 600,000 clinical outputs across 30 focus areas. No surprise here. Right? I don't think people believe me two years ago when some of the early studies came out, blind studies that showed patients preferred g chat GBT responses to doctors at least when it came to Bentside Manor. Right? Because people are always like, oh, you know, AI chatbots are fun and cute, but, you know, they're not empathetic. Right? So literally studies have shown that AI models are more empathetic than doctors.

Jordan Wilson [00:18:17]:
Right? It's probably also because here in The US, doctors are extremely overworked. Right? Let's start there. You know, the last thing you probably want is, you you know, a surgeon that's at the tail end of their, you know, fourteen hour, shift. Right? So I think that this is a very complex issue, but I've been saying this for years. I'm like, it's gonna be very common for doctors to use ChatGPT, and I would want them to. Right? And people are always like, oh, no. Absolutely not. That's why you go see a human doctor.

Jordan Wilson [00:18:48]:
Right? This has been I don't know about you. This has been happening to me for years. Right? Maybe this is as the Internet's gotten better. I don't know. But I remember five plus years ago that I would be sitting in a doctor's office, and my doctor is just googling things. Right? Maybe I I don't know. Maybe I needed to go to a different doctor. Right? But, I mean, this has been happening for a very long time.

Jordan Wilson [00:19:10]:
So people are always like, oh, no. Cheechy, but he's not gonna be in health care. And I'm like, of course, it is. And I think that most people, if you want high quality care, you want your health care provider to be using ChatChippity in real time or, Gemini in real time or Claude in real time or Copilot in real time or whatever it is. You just hope that they're using the right model, and, they've gone through our free prime prop polish course. Right? I had to get that in there because, there's always you know, there's a couple viral, instances, that, you know, Chat GPT using doctors, has gone or or sorry. A doctor is using Chat GPT, has gone viral on the Internet. Right? Someone taking photos and, yeah, spreads like wildfire.

Jordan Wilson [00:19:51]:
But, you know, I'd always zoom in and be like, yeah. That doctor is using the free plan. Right? Or, you know, this this doctor is not using the right model. They're not using a thinking model. You don't want that. So, yes. This is obviously exciting for what's possible and hopefully, providing better care for, millions of the people around the world. However, this does highlight just how important it is for everyone regardless of what you do to understand how large language models work.

Jordan Wilson [00:20:17]:
And I am continually flabbergasted at how no one understands large language models even though we've been using them, almost daily now for three, four plus years. Right? It is absolutely bonkers to me that people still think, large language models are a deterministic search engine, and no one knows, oh, here. You gotta do these three things before you get started or else you're kinda screwed. Right? That's why you should go take our free prime prompt polish course. Alright. Alright. Speaking of AI, that is probably going to impact maybe billions of people. So Google has introduced a new AI inbox preview for Gmail, which replaces the traditional list of emails with AI generated to dos and topics based on the contents of your email.

Jordan Wilson [00:21:06]:
So the feature which I saw and I'm like, let's go. This is amazing. Huge bummer. It's only in early testing right now and is only available to select trusted testers with no public release date yet. Yeah. So I think everyone, saw this from, Google and everyone lost their minds and is like, oh my gosh. This is literally the only thing everyone's wanted from AI for years. And then it's like, oh, man.

Jordan Wilson [00:21:33]:
It's trusted testers only. Right? Slow rollout. However, it looks absolutely amazing. This is what I've been, you know, having a lot of my, agents and agentic models do for me anyways, right, with scheduled runs. So I'm excited to have this by default, when it does roll out. So AI inbox is designed to help users manage emails by summaries, summarizing messages into actionable items and topics to track, linking directly to relevant emails for quick access. So in its current form, AI inbox only works with consumer Gmail accounts. Not workspace or business accounts, limiting its usefulness for professionals with high email volumes.

Jordan Wilson [00:22:17]:
Alright. I actually, had a conversation, that we're gonna debut probably this week or next week, with the CEO of a very, very large company. And we're chatting about this after the fact. Right? How there's all these great AI features, but sometimes, you know, Google rolls them out to personal or, you know, consumer Gmail accounts and not workspace accounts. You wanna know the the hack here, but this is only if you're a a small business owner probably because you shouldn't be doing this, for your company. But one thing I do around this, right, I forward all of my work email to my personal email. I filter it and put it in a certain folder. Right? So then I can use all these features that are sometimes rolled out, to personal Gmail's first.

Jordan Wilson [00:23:03]:
So, yeah, I'm excited to get AI inbox. I don't have it yet. Hopefully, I'll get it soon. So the AI, system can surface archived conversations and older emails, sometimes highlighting topics that user may not consider urgent or relevant. So, yeah, some early testers have showed that this is extremely promising, but sometimes the feature pulls up older emails that may not be, relevant anymore, although it might be relevant to what someone, is working on at the time. So, for organized users who already keep their inbox tidy and act quickly on emails, the AI generated summaries may feel cluttered or unnecessary, requiring more scrolling in attention than their current system. This is one of those other reasons, FYI. I know I feel like in general, email, there's two very different types of people.

Jordan Wilson [00:23:55]:
There's people who are, like, AI, you know, inbox zero and either, you know, delete or archive everything, and then there's people that never delete a single thing. I'm obviously the latter. I never delete a single thing. Right? I don't archive a single thing, and I'm glad I didn't because a lot of the connectors that we use today. Right? So, Claude has a great connector to Gmail and Outlook. Obviously, ChatGPT has great connectors or now apps to, Gmail and Outlook. Right? Because if you archive all those emails or delete them or if you're inbox zero and you really wanna use, like, an AI tool to get historical, insights and trends from your emails, right, I don't if if you archive them, they can't find them in most cases because they can only select the inbox and certain folders. So it's one of those times where, you know, maybe not being an inbox zero person might pay off, if you do so much of your day to day work, inside your inbox.

Jordan Wilson [00:24:51]:
So I'm excited about this one, but big bummer that the new AI inbox is for trusted testers only. It's probably gonna be a super slow rollout and only for personal Gmails for now. Alright. Speaking of new Google announcements that could impact a lot of people, Google announced and is rolling out a significant update, update to its Gemini AI assistance for Google TV. So the new Gemini update will first debut on TCL, Google TVs, with plans to expand to more devices in the future. So the new Gemini update will offer comprehensive answers to questions, now including images and videos alongside text, making information more accessible directly from the TV screen. There's also a new deep dive feature that uses AI narration and interactive visuals to help users explore complex topics in detail, enhancing educational and research capabilities at home. Users can also control simple TV settings by voice like, you know, change the brightness or the color, tone, right, just by using your voice, which is pretty cool, allowing Gemini to automatically, adjust screen brightness or audio levels in response to common viewing annoyances, such as dim screens or muffled dialogue.

Jordan Wilson [00:26:09]:
Gemini also integrates this part's really cool, with Google Photos enabling users to search and display personal photos and albums on their TV by using their voice and apply a apply AI powered filters using the photo remix feature. The assistant can also generate images from scratch using Google's nano banana image model and also create short videos with Google Vio. And you can also, use nano banana and, or to remix or create new versions of your own Google Photos, which is pretty cool. Right? I don't know. Imagine, you know, chilling on the couch with your significant other and you have this and you can be like, you know, where are we gonna go on vacation? Right? And if you have some, previous Google Photos, of, you know, you and your significant other on vacation, you can use this remix feature powered by, nano banana and be like, hey. Show us on, you know, a tropical island here. You know? Show us in Iceland chasing the northern lights, and you can see actual photos. Right? Really cool what the technology is capable of where, you know, even like two years ago, we'd be like, oh, you can never do that.

Jordan Wilson [00:27:15]:
Yeah. You can now. Alright. Our next piece of AI news, a study. Yeah. We gotta use our brains here on the show. So a new report from the Microsoft AI Economy Institute reveals that generative AI is now the fastest spreading technology in history, but its benefits remain unevenly distributed around the world. This one I found extremely interesting.

Jordan Wilson [00:27:41]:
So Microsoft's report found that generative AI has already reached more than 1,200,000,000 users globally in under three years with 16% of the world's population using these tools in the 2025 alone. So despite The US and China building most of the world's AI data centers and hosting 86% of the infrastructure, both countries, interestingly enough, lag in everyday workforce adoption. So The U S this one crazy, you would think The U S in terms of global AI adoption, when it comes to the workplace adoption would be fairly high. They are twenty fourth with only a 28% adoption rate, which is absolutely bonkers to me. Right? So The US and China account for 86% of AI infrastructure build outs. Yet The US is not even in the top 20 in workplace adoption. So who is number one? That's The UAE. The United Arab Emirates leads the world with 64% of its workforce using generative AI, followed closely by Singapore at about 61%.

Jordan Wilson [00:28:56]:
There's also a huge gap between high income and developing niche, nations in growing with adoption rates in wealthier countries averaging out at about 25% compared to only 14% in what Microsoft calls the global South. Right? So they highlighted this huge disparity between the global North, right, which is, US, Canada, you know, EU, China, right, with the global South. A lot of times considered, you know, South America, Africa, some other places. So both geographically, you know, they found this pretty large divide between not just access to AI, but AI use. Another important, finding that I thought is worth calling out, Chinese open source AI models like DeepSeek are rapidly gaining ground in specifically Africa, Russia, and Iran, offering affordable alternatives where western platforms are less accessible. Also, while the gender gap in consumer AI use has nearly disappeared, the report found that men are still more likely than women to use AI for work tasks highlighting ongoing workplace inequality. Alright. If you do want more on that study, we're gonna be sharing it in our newsletter.

Jordan Wilson [00:30:15]:
And this is one of those, I think, one of those studies every single year I take a look at. Right? There's hundreds of AI studies out there. A lot of them aren't really good. This one is one of the best. So if you really wanna have a good understanding of where, you know, global AI is trending, where it's trending in The US, where it's trending in certain sectors, what you need to be taking a lookout for, this report from Microsoft every year is one of the best. Alright. Speaking of the best, the best of the best was on display at the Consumer Electronics Show. And this year, we all knew it was gonna be AI, AI, AI.

Jordan Wilson [00:30:55]:
Shoving AI in the fridge. There's actually, an AI powered fridge that only works with your voice. Right? It won't even open. Right? Talk about, I don't know, to me nightmare fuel. Right? Not being able to use appliances in your house without being forced to use a voice activated feature. Right? Anyways, CES marked a major shift for AI as the focus moved from generative AI chatbots from the year past, to physically interacting with the world. So I'm gonna highlight here some of the bigger AI announcements from some of the bigger companies. So one of the bigger ones was LG's Cloid, a mobile home robot with articulated arms and advanced vision language AI capable of finally folding laundry, loading the dishwasher, and fetching objects, making the zero labor home a maybe future reality.

Jordan Wilson [00:31:52]:
NVIDIA kind of already referenced this, but they, kind of shifted their focus away, at least from an announcement, point of view, from their GPUs to introducing the Rubin AI platform and VERA CPU. Also, AMD launched the Helios rack scale platform for data centers and the Ryzen AI 400 series for consumer devices. Intel debuted Panther like chips, the core Ultra series three, focusing on power efficiency and graphics for next generation AI enabled laptops using its new 18 a manufactured process. Robotics obviously stole the spotlight as they do normally at these types of shows, with Hyundai and Boston Dynamics showcasing the Atlas robots integration, Atlas robots integration into smart digital factories. And then in the smart home rivalry, LG's robot was demo lot demoed live, while Samsung's Bally, once a leading concept, was quietly shelved, highlighting LG's, lead in practical home automation. Alright. There's more y'all. I told you, this week was jam packed.

Jordan Wilson [00:33:06]:
Alright. Our next piece of AI news, Meta's outgoing chief AI scientist, Jan Lacun, says the company, quote unquote, fudged a little bit when testing its latest llama four models in a new Financial Times interview. Spicy. Alright. So Lacun revealed that Meta's researchers use different versions of the llama four maverick and llama four scout models on separate benchmarks instead of evaluating a single version across all tests. And this practice is not standard in AI development and may have led to artificially improved results for LAMA four in official benchmarks. So, yeah, this was kind of reported on. So when LAMA released their LAMA four series of models, they did really, really well, like, surprisingly well on all benchmarks.

Jordan Wilson [00:34:01]:
And everyone was like, first of all, like, wow. Look at these open source models that are now leading all these benchmarks. And then a couple of days later, everyone's like, wait. Is this real? Because when people were using them in practical scenarios, they're like, these models aren't doing very well. So at the time, it was kinda reported. Yeah. Meta might have created a different version of llama that was overfitted or designed to just perform very well on benchmarks. It was never confirmed.

Jordan Wilson [00:34:26]:
And he now here you go. Jan Lacun, one of the biggest names in AI ever, coming out and saying, yeah. Meta kind of fudged on the model. So, you know, as he starts his own startup, interestingly enough, stirring up a little controversy on the way out. So Meta's leadership has denied releasing different models, blaming performance discrepancy on variations in cloud infrastructure. So the benchmarks controversy, fueled internal frustration and eroded confidence among Meta's leadership, including CEO Mark Zuckerberg, according to reports. So in June, Zuckerberg restructured Meta's AI division, creating Meta Superintelligence Labs or MSL and bringing in Scale AI cofounder Alexander Wang to lead the group. So Meta paid about $14,000,000,000 for a 49% stake in Scale AI.

Jordan Wilson [00:35:24]:
But according to Lacun, Wang was young and inexperienced in research, which for him raised concerns about Meta's future, direction in AI development. Nothing like some baby llama mama drama, to start the new year off right. Right? And it's gonna be really interesting to me to see how Meta responds not just to this controversy. Right? But Meta had been on a fairly, we'll say, quote, unquote, normal release schedule with their llama models. But they've been silent, absolutely silent since I believe it was April or May when they allows, announced llama four. And they didn't even come out with the biggest variation that they announced at the time. So, essentially, Meta blew the whole thing up, and we've been seeing a lot of reports about what they're doing next. Right? All these code names, the avocado and mango, and we heard that they're gonna be competing directly with, like, Google's nano banana pro and all these different things.

Jordan Wilson [00:36:26]:
So I'm personally very excited to see how Meta responds, not just to this controversy, not just to the, now what, like, eight, nine month gap, in model releases, which for AI frontier labs is, like, a decade. But also there's been reports that Meta is going to potentially shift away from the open source strategy and go to proprietary models. Alright. Speaking of proprietary models that people may or may not use, Amazon is getting into the consumer chatbot game as they've officially launched a browser based version of its Alexa plus assistant. So, Amazon announced that the Alexa Plus website is now live for select users. So you can go to alexa.com, allowing them to chat with Alexa Plus directly from their browser for the first time. So the new alexa.com platform is designed only for Alexa Plus users who must join a wait list or own newer Amazon devices to get access. So Alexa Plus is Amazon's revamped AI assistant, which first debuted in February 2024 and is still in early access mode.

Jordan Wilson [00:37:40]:
So with the new website, right, so Amazon maybe in the long run looking to compete with Chad GPT here, Users can ask questions, explore complex topics, create content, plan trips, get homework help, all the stuff you can normally do with large language models, all within the browser chat window. So previously, Alexa Plus was only available on mobile apps or certain echo devices not being able to, not accessible on the web. Amazon says tens of millions of users now have access to Alexa Plus, but the company is still gradually rolling out the services. And let me be honest. It's a good thing they're doing this gradually because I'm gonna say this. And maybe this is because I think Google Gemini and their Gemini live is just so much better. Right? And I really wish that OpenAI would, update the model of their advanced mode, of of their previously advanced voice mode. Now it's just their, voice mode.

Jordan Wilson [00:38:38]:
Because I think when this came out, OpenAI was was the best. Right? Their advanced voice mode was the best. But they haven't updated the engine running it. It's still running on a version of a g b t four o. So I don't know. At least for me personally, I hate talking, with the voice mode from OpenAI. I hope they update that, because it could be really good. I think Google Gemini live is running away in the AI voice category.

Jordan Wilson [00:39:03]:
Because if you have used Alexa plus, right, I got access to it. It's terrible. It's terrible. Right? Yes. It can provide better responses than the traditional Alexa, but reports are it's powered by Infropix models, which are really good. But I don't know. For whatever reason on the implementation, it's slow. It's clunky.

Jordan Wilson [00:39:24]:
It gets the majority of everything wrong. And some of the things that you might use Alexa for on an ongoing basis, like, I don't know, time, direction, weathers. Now there's a very annoying sometimes three, four, five second delay. Right? Asking for the time, asking for the weather. Literally, sometimes it three to five second delay, which is bonkers. Right? So I don't know. At least for me, I'm not super, bullish on, Amazon competing with Chat GPT on the web, and I'm also at least with my own personal use in the home, not super excited, for Alexa Plus. I really thought it was gonna be great, but for me, pretty bad.

Jordan Wilson [00:40:07]:
Alright. That's all the big AI news stories. Now let's go into a quick bullet points, version. This is funny from from, Douglas. Hey. Douglas said here on the live stream, Amazon announces Alexa plus AI, and the crowd goes mild. I've never heard that. That's so good.

Jordan Wilson [00:40:26]:
Crowd goes mild. Alright. So like I said, this week, I kid you not. I always go through all the, you know, AI news, and I do this manually, because I like to use my brain and think about it. But I usually go over the top eight to 10 news stories every week in our monthly or sorry, in our weekly, news segment on Mondays. And usually, I get a list of, like, 15 stories, and then I pair it down to the top 10. Right? And I'm like, okay. These are the top 10 stories.

Jordan Wilson [00:40:55]:
These are the ones that we're gonna spend time on. This week, my list was 30. I had 30 stories that I'm like, these could all be top stories. Alright. So, the what's news in or sorry, what's new and what's next bullet points here at the end. A lot of these are pretty big, FYI. Alright. So let's go through them very quickly, the what's new and what's next.

Jordan Wilson [00:41:19]:
So, Microsoft's Copilot now supports native checkout with PayPal. Grox AI image generator has been temporarily restricted after sexualized deepfakes. XAI raised $20,000,000,000, for Grok and their supercomputing networks. OpenAI is reportedly asking contractors to share actual work outputs and deliverables from previous jobs when they onboard with the company. That's wild. Alliance had partnered with Anthropic. OpenAI acquired Convogo, a data automation platform. Meta has postponed the global release of its Ray Ban display smart glasses, originally planned for early twenty twenty six because reportedly, the, US demand was too high and it caused inventory shortages.

Jordan Wilson [00:42:11]:
China launched a regulatory probe in the Meta's AI acquisition, of Manus. Lenovo introduced, Quira. I believe it's, Cura Quira, a new cross device AI assistant at CES twenty twenty six. SimilarWeb released its first global AI tracker of 2026 that showed Gemini had the 20% market share after being at only 5% a year ago, mainly eating into chat GBT share. Although OpenAI's share is still technically growing, their slice of the pie is just getting smaller, but the pie is getting exponentially larger. Boston Dynamics announced a new AI powered version of its ATLAS, sorry, ATLAS humanoid that's way more flexible and way stronger. Leaks show that OpenAI is developing a new AI agent focused on careers called jobs. Google launched flight deal where Gemini will find you flight deals based on a prompt.

Jordan Wilson [00:43:12]:
Reports show that Claude's opt coming task mode will include integrations with calendar, Slack, Salesforce, Asana, and more. So, yeah, we've seen this, report from testing catalog a couple of times that Claude is working on kind of a task or an agent mode, in their front end chatbot. Alright. Axe AI is going to soon introduce Grok Build, a vibe coding platform. GPT two codex max may be slowly rolling out according to leaks. Benchmarking site, LM Arena, raised a $150,000,000. And last but not least, Anthropic is reportedly raising another $10,000,000. My gosh.

Jordan Wilson [00:43:49]:
There was so much so much impactful and important AI news this week. I know this one was a little longer, but that's just the reality. If you wanna keep up, sometimes you might gotta sit through forty four minutes of AI news and a little bit of my needless banter. So thanks for putting up with that as well. So if this was helpful, please repost this, tell someone about it. Right. We can only keep doing this everyday AI thing if you're out there telling people about it. So please do that.

Jordan Wilson [00:44:17]:
If you're listening on the podcast, please subscribe to the show. Lead us, leave us a rating. We'd really appreciate that. And like I said, if you want access to the inner circle, I was actually blown away with how many people joined over the weekend, when we started letting a couple groups in. So it's info in today's newsletter. So make sure you go check that out. The inner circle, great way to network, with other people, have conversations, learn new things, and take our free updated prime prompt polish course on your own pace. Alright.

Jordan Wilson [00:44:49]:
So thanks for tuning in. If you haven't already, please go to your everydayai.com. Sign up for the free daily newsletter. Thanks for tuning in. Hope to see you back tomorrow and everyday for more everyday AI. Thanks, y'all.

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