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11 Hidden AI Trends Unveiled at Microsoft's Ignite Conference: A Must-Know for Decision Makers
Welcome to an insightful exploration of the trends at the Microsoft Ignite Conference. This event brought together over 10,000 tech and business leaders, creating an ideal ground for uncovering hidden artificial intelligence (AI) trends. These trends have profound implications for business decision-makers and other leaders.
The Demand for Instant Results Versus Understanding AI
A prevalent mindset shift was observed where the thirst for instant outcomes without comprehending underlying processes is escalating. While social media sensationalization frequently fuels this, decision-makers must keep in mind that understanding AI's potential benefits far outweighs the obsession with cost. This calls for a shift from prioritizing immediate outcomes to understanding AI's long-term prospects.
Importance of Foundational AI Knowledge in Business
The importance of foundational knowledge was also highly stressed during the conference. For businesses to thrive, it's critical to prioritize learning basic AI concepts. Understanding these concepts paves the way to innovative business practices and solutions without missing out on the evolving opportunities in the AI-driven market.
Challenging the Cost Narratives Around AI
Regardless of common beliefs of AI stagnation, the trends in AI costs reflect a different story. With the decrease in compute, inference and training costs, businesses have the opportunity to implement AI solutions without stressing over cost limitations.
Technological Shifts in the AI Landscape
In terms of technology, AI is transitioning from general-purpose GPUs to more efficient NPUs and DPUs. Such shifts improve AI's execution speed, cost-efficiency, and environmental impact. This change represents a significant opportunity for businesses to achieve improved productivity and sustainability.
The Urgency of AI Adoption
The conference also drew attention to the urgency of AI integration in daily business operations. By 2025, companies failing to leverage AI are likely to lose competitiveness. Therefore, it becomes increasingly important for decision-makers to fast-track AI adoption within their strategies.
AI's Impact on Job Market
Interestingly, the current scenario shows AI displacing more jobs than it creates. This notion challenges the popular belief of AI as a job creator, sparking thought-provoking discussions about the future of work in an AI-driven market.
Call to Action for Business Leaders
To leverage these trends for optimum advantage, there's a pressing need for business leaders to share these insights across their teams. Implementing AI isn't merely about survival. By fully understanding and exploiting these trends, businesses have the chance to not only survive but thrive in the evolving market scape.
Conclusion
While trends like Microsoft's powerful position in AI innovation and the anticipated advancement in personalized AI content generation are intriguing, these present substantial opportunities for decision-makers to re-evaluate their AI adoption strategies and tactics. To survive this dynamic technological shift, understanding these trends and their implications is of paramount importance.
Topics Covered in This Episode
1. Microsoft Ignite Conference
2. Proliferation of AI agents
3. Importance of Foundational AI Knowledge
4. Rising AI companies
5. Microsoft 365 Copilot Licensing
6. Future of Personalized AI Content
7. Dominance of Microsoft in AI Innovation
Podcast Transcript
Jordan Wilson [00:00:17]:
What if you had an AI spy? Not like a spy powered by artificial intelligence, but an actual human that would go out there kind of incognito and talk to the smartest people in the world and bring you back all of the information, all of the hidden trends, everything that's happening in the AI world, but maybe people aren't talking about those things that are gonna impact your business. Guess what? That's me. I work for you. And today, we're gonna be talking about undercover insights, 11 hidden AI trends from Microsoft's Ignite conference that will shape how we work. I'm excited for this one y'all. I hope you are too. Welcome to everyday AI. If you're new here, what's going on y'all? My name is Jordan Wilson, and I'm the host in everyday AI.
Jordan Wilson [00:01:11]:
It's for you. Like I said, I work for you. This is your daily live stream podcast and free daily newsletter helping everyday people not just learn about AI. What good is that? It's all about how you can leverage it. How you can actually put all this to work for your company and your career. If that sounds like you, is that what you're trying to do? If so, you are in the right place. This is your daily home. If you haven't already, make sure to go to your everydayai.com.
Jordan Wilson [00:01:39]:
Sign up for the free daily newsletter. While you're there, people don't know this. We have now, like, 400 plus episodes. You can go back. You can listen to old episodes on our website. You can read about them. You can watch the video. It is a free generative AI university.
Jordan Wilson [00:01:54]:
I'll say it is the number one most unbiased place that you can go learn about AI from the experts. So make sure you go do that and sign up for our free daily newsletter. Alright. Before we get into today's topic, let's first start as we do by going over the AI news. Hey. Live stream audience. Got a little live stream prompt for you. So first, Anthropic has introduced model context protocol, to enhance AI connectivity.
Jordan Wilson [00:02:20]:
So Anthropic has just launched the model context protocol or MCP, a new open source standard designed to improve AI models access to data. So the MCP aims to break down data silos by allowing AI models to connect seamlessly with various data sources such as business tools and softwares, enhancing their ability to produce relevant responses. So this protocol facilitates two way connections, that's the big piece here, between data sources and AI applications such as Anthropic's Claude, enabling developers to create MCP servers and clients, for efficient data integration. So, according to Anthropic, companies like Block and Apollo have already integrated MCP into their workflow while development platforms such as Replits, Codeium, and Sourcegraph are adding support for MCP. So by providing a standard protocol, Anthropic envisions a future where AI systems maintain the context across different tools replacing fragmented integrations with a more unified in, architecture. So right now subscribers to arc, Anthropic's Claude enterprise plan, yeah, enterprise plan only right now, can connect the Claude chatbot to internal systems using MCP servers with pre built servers available for platforms like Google Drive, Slack, and GitHub. So this is kind of similar, I'd say a little bit better, but way more technical, versus, you know, OpenAI's recent new feature called work with apps, which allows Chegg v t to interact with coding apps similar to MCP's objectives, but OpenAI focuses on collaboration, one way, but much much easier. Alright.
Jordan Wilson [00:04:02]:
Our next piece of AI news, NVIDIA is bringing new sounds to our ears. So, NVIDIA has just introduced Fugato. Hopefully that's how it's pronounced. Maybe the new AI model should have told us how it was pronounced. So it is a new AI model designed to generate music and audio. So this technology can modify voices and create unique sounds, making it particularly relevant for music, film and video game producers. So Fugato stands out by transforming existing audio, such as converting a piano line into human vocals or altering accents in mood in speech recordings. So NVIDIA currently has no plans to release Fugado publicly, citing concerns over potential misuse such as generating misinformation or infringing on copyrights.
Jordan Wilson [00:04:50]:
Yeah. So similar to, you know, how we've been waiting 11 months now for OpenAI, Sora. So the model was trained according to NVIDIA using open source data, and NVIDIA is deliberating on the best approach for its public release. So NVIDIA's cautious approach mirrors that of other companies like OpenAI and Meta who are also exploring the implications of releasing generative audio and video models. Alright. In our last piece of AI news for the day, Republican president elect elect Donald Trump is contemplating the appointment of an AI SAR, to oversee federal AI policy according to reports from Axios. So this move underscores the growing importance of artificial intelligence in government operations and policy making. Tesla CEO Elon Musk is expected to play a role in shaping the future discussions and applications of AI, although he will reportedly not be the AICAR.
Jordan Wilson [00:05:44]:
So the potential appointment of an AICAR highlights the increasing recognition of AI's impact on various sectors. Alright. So, make sure to sign up for our daily newsletter. We'll have more on these stories and a whole lot more. Alright. Let's get into it. So, if you don't know, I was at Microsoft's, conference last week. So they're big, once a now once a year, conference.
Jordan Wilson [00:06:11]:
It was called Microsoft Ignite, here in Chicago. So, first, thanks to, We Communications and, Microsoft for hosting us, at the, Microsoft Ignite event. And, there was more than 10,000 people there from all over the world. But I would say these are really the leaders in technology, and really shaping the future of how we work. So, you know, it's obviously not just Microsoft, and I probably met with a few dozen, or talked with a few dozen, Microsoft, people, product managers, people VPs. Right? Little of everyone. But also, I mean, every single big company, you know, I'd say almost every single big company in the world was there. Right? So, you know, NVIDIA, IBM, consulting companies like Right? It's it's really a who's who of the business world and the tech world and the AI world.
Jordan Wilson [00:07:06]:
So here's here's kinda what I did. You you know, when I'm talking about undercover insights, like, what the heck is that? Well, I'm lucky enough to get invited to some of the biggest conferences in the world like Microsoft Ignite. Right? NVIDIA's, GTC, you know, the AI summit. Right? I'm very lucky people, invite us out, to attend these conferences. They wanna hear, you know, feedback, all that good stuff. Right? But, when I go to these conferences, I learn from 0. Alright? What that means is I you know, it's kinda like I go undercover. Right? A lot of times I'll go up to a a booth or a person probably knowing a decent amount about that thing already, but I'm like, explain this to me like I know nothing.
Jordan Wilson [00:07:49]:
Right? That's what I call learning from 0. I think it's important. Even for someone like myself that literally talks about AI every day, I've been able to talk to the smartest people in the world about AI. I start from 0. So that's what I mean by going up undercover. Right? Even though I might know very much about a certain product or company and what they're doing in AI, I like going from 0 and and talking with these, you know, CEOs of, you know, their CEOs of fortune 500 companies. There's, you you know, VPs of, you know, $1,000,000,000,000 companies. You know, some of the smartest people in the world were on the Microsoft Ignite showroom floor.
Jordan Wilson [00:08:28]:
And, I asked them a couple of questions. Oh, and it's the return of hot take Tuesday. Yeah. So let me know if I should actually spice it up here or just keep it keep it straight. It's always up to you. Alright. So here's questions that I normally ask. Right? I say, what's your take on the latest AI? Right? And, yes, talked a lot of Copilot.
Jordan Wilson [00:08:51]:
You know, Microsoft Copilot announced more than 90 new AI features. Some of them small, some of them huge. So I was talking with a lot of people, Microsoft and others, about the latest in AI. So not just the latest in Copilot. Right? I'm talking Gemini. I'm talking OpenAI. I'm talking Claude. Right? I'm talking Runway, Midchart.
Jordan Wilson [00:09:10]:
Right? Every single big, you you know, AI tool. I'm asking people about that. And then number 2, I'm saying, what are people asking the most about, and what's the answer? Right? As there's thousands of people, right, going through the kind of showroom floor. And if you've never been to these big, you know, AI conferences, it's like any other conference. There's, I lost track, I would say, between 200 to 300 booths. Right? So, hundreds of of companies are there trying to showcase the latest in AI and their technology. Right? So I do 2 things. What's your latest take on AI, And what are people asking, the most about, and what's the answer? Alright.
Jordan Wilson [00:09:52]:
Michael and Ted say spice it up. We'll see. So here's the answers to those questions, to talking to dozens of people, learning from 0, not going in with, you know, any thoughts on these conversations and many hours of conversations. Right? So this is you know, I Was, you know, able to interview a lot of, you know, Microsoft execs. We have another show, that'll be dropping tomorrow on that on copilot pages, which I'm excited about. You know, was able to also have a conversation with the head of generative, global head of generative AI at Coca Cola. Right? So we'll be releasing that episode soon as well. So, yes, I did have kind of, you know, on the record, off the record, you know, conversations with with some pretty big names in AI, but then also, like I said, just dozens dozens of just industry leaders.
Jordan Wilson [00:10:42]:
And these 11 insights, these 11 trends are things that really stuck out to me. So these aren't necessarily predictions. Right? I'll probably do a big prediction show, for 20 25. But these are some of the biggest trends that I spotted. And you, everyday AI audience, I want you to know. I want you to know what's happening behind the scenes, what people are actually talking about. Right? Sometimes they don't wanna talk about this out loud. Right? But that's that's my job.
Jordan Wilson [00:11:14]:
Right? I want you to when when you tune in here every day, I want you to know that the information you're getting, it's not just like some random stuff on the Internet. Right? This is what people care about. This is what they're worried about. This is what they're excited about. These are 11 trends. Let's get into it. Trend number 1, and this one's a little more Microsoft and copilot related, but there's too many copilots in Microsoft copilot. Right? People are confused.
Jordan Wilson [00:11:43]:
I don't think that's necessarily a bad thing. Right? So you have you have normal copilot within biz chat. You have now SharePoint Copilots. You have autonomous AI Copilots. You have Copilot Studio. You have, you know, different Copilot agents in, you know, Teams and and, you know, the facilitator agents and, the interpreter agent. Right? One overwhelming thing that I heard, and this one is a little more Microsoft, specific, is people said there's too many copilots. There's too many AI.
Jordan Wilson [00:12:20]:
Right? There's the it it's everywhere. How do I know which one to use? Do I start in SharePoint? Do I, you know, go into normal biz chat? Should I be working with Copilot inside of teams? And well, I'd hate to tell you, but there is no right answer to this. Right? And this is coming from, the people building the technology itself over at Microsoft. I said, y'all, like, is there is there a a visual map that says, hey, if I need this insight, where should I go? Where should I start my Copilot journey? Right? And a lot of these are, new features that we'll be rolling out, and a lot of them you do have to have, your company has to have a Microsoft 365 Copilot license. More on that in a couple minutes. Had some troubling trends and insights from that. But so many people are confused about they're saying, okay. Our organization is a 100% in Microsoft Copilot 365.
Jordan Wilson [00:13:20]:
And I know I need to use an AI for this. I need to use a Copilot. I need an agent. But where the heck do I go? Do I use one of the pre built agents? Do I go into Copilot Studio and try to build something on my own? Do I go into SharePoint? Right? Now SharePoint has agents by default. Just agents built just on that data in SharePoint by default. You don't even gotta build it. And everyone's like, how do I use it? There's so much AI. It's overwhelming.
Jordan Wilson [00:13:48]:
Right? Well, unfortunately, there's no right answer. It's kinda like, at least for now, a choose your own adventure. Right? I do actually hope, and I I I did request. I'm like, hey. It'd be great if Microsoft came out with a a visual, kind of decision tree or road map on when you should use what copilot. Right? But from what I heard, it's like, it doesn't really matter. Right? It depends on your workflow. It depends on the outcome that you need.
Jordan Wilson [00:14:12]:
So what I was told is, you know, don't choose, the the the car and the road when you're starting, choose the destination. Say, what do I want to accomplish with AI inside of Microsoft Copilot? Right? And let that be kind of your your GPS in terms of where do you start versus trying to start in a specific place and get to a specific outcome. So let the outcome be your guide and, you know, hopefully, that will make much more sense in the coming, weeks months as a lot of these Copilot features are fully rolled out. Right? So some of them right now are in private preview, some of them are in public preview, some are, you know, generally available. We did a whole show on that, last week on some of the highlights of these 90 plus new AI features, but it really just depends. Alright? Yeah. Yeah. Hey.
Jordan Wilson [00:15:02]:
Hey. Shout out shout out Nisiani. Alright. She's doing some great work in Chicago, here, but, one of my friends there at Microsoft who was trying to connect with a lot of people, but, man, there are so many people there. And hey, y'all if if if you do have questions, get them get them going. Get them in right now. I'll try to answer some as we go in at the end. So trend number 2 that I noticed, Microsoft is light years.
Jordan Wilson [00:15:26]:
Light years ahead of Google and Apple on AI. And I'm not saying that. Yes. I need to be very transparent. Y'all. Yes. Microsoft is an advertiser on our show. Yes.
Jordan Wilson [00:15:41]:
Yes. Yes. But I've been saying this since day 1. Since before Microsoft was an advertiser of this show. Google and Apple are so far behind. It is scary. It is scary. Right? And I've I don't want that to happen either.
Jordan Wilson [00:16:03]:
I don't want one company to be running so far ahead of its 2 closest competitors because I think in theory, Microsoft could really pause or slow down AI innovation, which selfishly I don't want them to do. Right? I don't think they're going to. I I I mean, look at what was announced, at this conference. And not only that, Microsoft announced a huge wave of AI announcements, like 6 weeks before. Right? So they had their wave 2 announcements which we covered on this show. So it's not like Microsoft is slowing down AI innovation, but they could if they wanted to. I mean, they're literally lapping people in like in a mile race. Right? Like, you run around the track 4 times here in the US, they're already lapping their competition.
Jordan Wilson [00:16:50]:
It is not even close. Alright. But like I said, it's also a little troubling, how far behind others are. You know, Google's go to market, for AI is disjointed as it can be. Right? Google has fantastic stand alone products. Right? Google AI Studio, spectacular. Right? It's for developers to go in there. It's like a sandbox.
Jordan Wilson [00:17:14]:
Right? It's free, but Google trains on your data inside AI Studio. And that but that's the only place you can use cut or unless you're using the API. But if you're using the Gemini chat on the front end, you're using a model that's usually between, you know, 6 to 9 months old. Google, it is so hard to use Google's AI. Google's Gemini AI. Right? Apple, I mean, we don't even need to talk about them. Right? Like Apple, it's it's the equivalent if a if a company right now just came out with an MP 3 player. Right? Like, look at our new MP 3 player.
Jordan Wilson [00:17:46]:
It's like, yo, that's decades old. Apple is so far behind. Right? And not that this is what this is about and full disclosure. Right? I own stocks in all these companies. So, you know, I'm not trying to, influence or impact any ones, you know, investing decisions. But I do think you have to pay attention to how Wall Street, you you know, and how the general public is valuing these companies when it comes to AI. And I don't know. I'm scratching my head Because Apple I mean, all 3 of these companies, Apple, Google, and Microsoft have over the past 2 years have seen, you know, pretty much, you know, diff I I I will say they're all going up.
Jordan Wilson [00:18:26]:
Right? They're all going up above market averages over the last 2 years, but that's kinda surprising to me because so much of, these companies, their public sentiment, what's happening, you know, in their earnings calls. Right? Everyone just has to use the word AI, large language models, agents as many times as possible. Right? Then they see how their stock reacts. I don't understand. I don't understand why. Right? As an example, Apple and Google are still trending at the same upward trajectory in terms of, you know, Wall Street projections and public sentiment as Microsoft. Because Microsoft is running that that one mile lap on the track with a jetpack. Right? And right now, you know, Google is just running without a jetpack, and Apple is intentionally putting quicksand in front of its path.
Jordan Wilson [00:19:19]:
What we have right now in Apple Intelligence is dumb. It is. It's literally technology that was available 4 years ago. These are these great new AI announcements that we're getting from Apple, 4 years behind. Right? And I've had I've had people at Apple confirm that to me off the record, FYI. Alright. Let's get going. We got a lot to get to here.
Jordan Wilson [00:19:50]:
3. There's a huge debate right now, and this one is a little more Microsoft specific on seats. Right? So think of large enterprise companies. Right? Let's say your company is pretty big. Fortune 500 company. Let's say you have 10,000 employees. Right? Companies are still saying, we're gonna wait this. We're gonna wait this.
Jordan Wilson [00:20:17]:
We're not gonna give everyone, you know, Microsoft 365 Copilot. Right now, there's a big debate, and I talk to people on both sides of this debate. Right? So essentially, you have IT leaders who are withholding seats. Right? Because right now, aside from, you know, your standard Microsoft Office license, right, which everyone needs to use Microsoft on their computers. Right? The Microsoft's, you know, Word, Excel, etcetera. Right? But you need an additional Microsoft 365 copilot license. Right? So to use all this AI, you have to pay another $30 a month per user. Right? So I I understand.
Jordan Wilson [00:20:57]:
I understand. Right? Because when you have, you know, 10,000 employees. Right? I don't know. It's like 300,000 a month. Right? Something like that. I'm not a math major. But it's it's you know, a lot of times, it's a multimillion dollar investment, for these big enterprise companies to give all of their employees access to Microsoft 365 Copilot. So two sides of the debate here on why this is happening, and I don't understand it.
Jordan Wilson [00:21:29]:
Number 1, yeah, IT leaders are withholding seats because they're worried about costs and not ROI. So your IT leaders that are sometimes in charge, right, and they have a certain budget for software, hardware, etcetera, and they're mapping a lot of times either months or quarters in advance or a year in advance, which is not good anymore. Companies have to change that. You can't do that anymore. But then on the other side of the coin, you have CEOs. So IT leaders are worried about cost, but not ROI. And then your c suite people are primarily focused on ROI, and that's why they don't give out seats. So it's like, what's gonna happen first? Is the egg gonna crack, or are we going to get scrambled eggs for breakfast? Well, everyone wants scrambled eggs for breakfast, but no one wants the egg to crack.
Jordan Wilson [00:22:22]:
You can't have both. I don't understand. It's almost like, you know, I don't know if you guys have ever been to a big sporting event. Right? I actually had a story about this once. It was the Cubs World Series run-in in 2016. It's actually a long story. I'll say that for another day, but, you know, sometimes, you know, there's always ticket scalpers. Right? And they're like, hey, I got tickets for sale, tickets for sale.
Jordan Wilson [00:22:45]:
And then the guy standing right next to them is like, hey, I'll buy your tickets, buy your tickets. Right? And I'm always, you know, tongue and cheeky. I'm like, hey, you guys should talk to each other. You're trying to sell tickets, he's trying to buy tickets, like you guys are right next to each other. Right? But I kind of feel like doing the same thing for c suite and IT leaders. Right? Hey, c suite. You wanna show ROI. Okay.
Jordan Wilson [00:23:07]:
Hey, IT leader. You won't give out seats because you're not seeing ROI. Well, how can you have the scrambled eggs scrambled eggs breakfast without cracking the egg? You can't. You can't. I still think, and this is a trend that I continue to see because I think people aren't unlearning. I talk about this on the show all the time. You've got to unlearn. You still have enterprise leaders in their minds working like it's 2019.
Jordan Wilson [00:23:41]:
It's not. You can't work like that anymore. Yeah. You might have to take a huge hit on the IT budget. You might have to burn through a couple $1,000,000. Yeah. I know. Wild.
Jordan Wilson [00:23:53]:
Right? But you don't have time. You don't have time to do these long, slow rollouts of generative AI anymore. The fact that literally enterprise companies still haven't given out I'm talking, you know, 1,000,000,000, multi 1,000,000,000,000,000,000,000,000,000,000,000,000,000,000,000, some trillion dollar companies. Right? At least in terms of market cap, haven't given AI to all their employees. How's everyone supposed to learn? Right? And that $30 a month y'all, as long as you know what you're doing, which isn't very hard, we teach people for free literally all the time in our free prime prompt polish course. I think we have 540 people signed up for today. As long as you know what you're doing, you win you get that $30 back at least in productivity almost instantly. Right? Yes.
Jordan Wilson [00:24:47]:
There's another discussion to be had about okay. You know, right now, the ROI, which a lot of companies aren't seeing is, well, they're winning back time, and they don't know how to convert that new time into new revenue. Right? But you're getting back a positive ROI. You're just number 1, you don't have a plan for what happens when AI works. Number 2, and this is especially the truth for a lot of companies that are remote, hybrid, etcetera, you're just winning time. You just maybe aren't seeing it. Number 4, personalized AI content is coming. My gosh.
Jordan Wilson [00:25:25]:
Right? So, yeah, a lot of this is around Microsoft Ignite. Right? You can have a personalized agent that you can build with no code. Right? Non technical person can go build agents that help them do their work. Right? Or agents that help them, summarize highly technical content into a way that you like to learn, but that's not necessarily what I'm just talking about. Again, we're talking about outside of the scope of just Microsoft Ignite. Personalized AI content is coming. The cloud technology is getting better. The hardware, is getting better.
Jordan Wilson [00:26:02]:
NVIDIA Ace, I hope, to bring someone on the show to talk about that in the coming weeks. Right? But I'm talking about a future. Personalized websites powered by AI, personalized emails, dynamically personalized, personalized movies, personalized TV shows, personalized learning, personalized video games where everything renders in real time. It's not science fiction. It's coming. Right? It's crazy. Closed door session. This was at the NVIDIA's GTC conference back in March.
Jordan Wilson [00:26:44]:
Right? Someone asked NVIDIA CEO, Jensen Huang, about, hey. In the future, will, as an example, video games be able to render themselves in real time? So what that means is AI is creating video games on the fly. Right? Which is a wild concept. And he said, oh, you you know, it's probably in a couple of years. I just saw it with my eyes at Microsoft Ignite. It's already here. Right? It's not publicly released yet. A lot of these things I'm seeing maybe haven't been publicly publicly released.
Jordan Wilson [00:27:15]:
Right? But it's all of this is here. Content that is personalized for you on the fly. It's not science fiction. It's happening. Number 5, everyone and their moms, grandmas, dog sitters, best friends, 3rd grade teachers, x is selling agents, everyone. Agents agents agents. Yeah. If you thought, you know, LLM and, AI and chatbot and GPT were the buzzwords of the AI wave, just wait.
Jordan Wilson [00:27:53]:
People selling agents or promoting agents at their, you know, company. Right? Software companies, hardware companies, cloud companies, computing companies, you know, security companies. Everyone now has agents. Do we need them all? Right? I think a lot of them just want to stay highly relevant. And here's here's what I noticed. There was long lines at Microsoft Ignite for anything that had to do with agents. Right? And then I'm looking. Right? I mean, this was especially true for Microsoft.
Jordan Wilson [00:28:23]:
Love what Microsoft did, by the way. They literally, probably I should have counted. They had probably at least 50, at least 50 booths. Right? And they had product leaders. People who were giving big speeches would go and then talk to consumers, talk to, you know, the Microsoft MVPs, you know, sales partners, etcetera, and answer questions, which is great. I would love to see other big tech companies doing that, by the way. But when you can go up there and you're seeing as an example, right, someone who can literally tell you anything about Microsoft Security or, you know, Microsoft's, you know, data governance. Right? And no one's there.
Jordan Wilson [00:29:05]:
But then you have a line of 15, 20, 30 people. There's a couple of times I'm like, wait, is like Microsoft CEO over here? Like, what are all these people gathering for? It's just because everyone only cares about agents, and I get it. It's this it's the sexy thing of the Q4. Agents agents agents. Right? But even companies that I think have no reason to be building or promoting AI agents, yeah, they're doing it. So I think this is gonna be kind of like the GPT rappers of, you know, 2022 and 2023 when all of a sudden every start up company, oh, we do AI. We do AI. Right? And then OpenAI or, Microsoft or Google or, Anthropic releases one new feature to their AI chatbot platform and that company becomes useless.
Jordan Wilson [00:29:52]:
Right? Okay. Well, they were just a thin wrapper for something. So now I think that's what we're gonna be seeing with agents. Companies, services that you think have no reason to be promoting agentic AI. Yeah. They're all doing it. So get prepared for that. A bunch of needless agents, which I think is probably bad for adoption because ever I mean, you're just gonna be seeing agents, agents, agents everywhere, and we're going to become numb to the potential power in business transformation of agentic AI because we're just gonna see it everywhere.
Jordan Wilson [00:30:25]:
Right? It's like when your nose becomes nose blind to the smelly, odors in your room because you just become used to it. You become desensitized. I think that's where we're already gonna be, with agents here in a few months. Alright. Trend number 6. Trend number 6. Small copilot AI features will have a bigger impact off the bat than the big AI features. Alright.
Jordan Wilson [00:30:56]:
So I would say the 2 biggest, kind of headline grabbers of, Microsoft Ignite, both the conference and what people were talking about on the showroom floor was Copilot Studio and autonomous agents. Right? And if you care about that, we did have the VP of AI and agents, Ray Smith, on the show last week. Fantastic interview, by the way, so make sure you go listen to that. But I don't think when we look in the coming, you know, months, I don't think that's going to be the most impactful AI that we see for Microsoft. It's gonna be some of these smaller features. Alright. Because most people, even though it's it's no code. Right? Copilot Studios no code.
Jordan Wilson [00:31:38]:
It works with all your data dynamically. You know, there's some low code options, but you don't have to be a technical person to go in and build an autonomous AI agent powered by the most powerful large language models in the world that works with your data dynamically and can make decisions on your behalf. That's crazy that that is here right now. But it's also maybe even crazier that that's not the thing, I think, at least right away, that is going to provide the biggest returns. It is the smaller AI offerings from Copilot. Alright? Actually, you know, sometimes I do this. Go ahead. I actually created a whole list, of the five AI features or AI tools from Microsoft that I think in the short term are going to be bigger than AI agents, and bigger than CoPilot Studios' autonomous agents.
Jordan Wilson [00:32:27]:
Alright? So share this show. Alright. So if you're listening on on LinkedIn or or Twitter, you know, just share it. Reach out to me. Say, I shared the show. Alright. And if you're listening on the podcast, we always put the links to those things. So share those, and I will give you, those five things.
Jordan Wilson [00:32:42]:
I didn't wanna put them in today's show because it would have made the show longer by, like, 30 minutes, and I already gotta go quick. Alright. Number 7, trend that I noticed from, Microsoft Ignite simplified stories sell AI implementation. And I do think this is like, duh. Right? As a former journalist, I should know this. Stories sell. Right? People learn through stories. I think over the first kind of 2 years of this quote, unquote, generative AI wave, things have gone too technical.
Jordan Wilson [00:33:13]:
Right? People are looking too far into the future. They're aiming too big. Right? I think simplified stories, simplified use cases of generative AI, of large language models are what every single company needs. Alright. So I'll probably get this, person from Microsoft, on the show, but, someone there shared a great use case, an example use case, for small businesses. So the example was, you know, a paper company. Right? And it was showing in how in Copilot Studio and she kinda built, you know, an agent live and or kind of, you you know, showed how how it was built. But it's it's the example of, okay, a customer, small business owner, gets a long email from someone buying office equipment.
Jordan Wilson [00:34:00]:
Right? A bunch of chairs, paint, paper, etcetera. It said, hey. What do you have? Do you have all this? Right? And, generally, right, if if you're the owner of a small business or if you're in charge of sales or whatever, you get an email like that. There's a series of probably 4, 5, 6, 7 manual tasks that you have to do, and there's a lot of back and forth communication. But, you know, she went through and said, hey. Hey. When you use Copilot Studio, here's how you can connect it to your database. Here's how I can stay up to date.
Jordan Wilson [00:34:25]:
It's gonna automatically, you you know, you don't even have to read that email. It's automatically can either send it or create a draft for you, and it can bring all that data in in real time. Right? It's a great use case. I think a trend that we're seeing right now in AI implementation for companies that haven't successfully done it is they're thinking too big. Right? They're trying to see 40% productivity gains across the organization. They're trying to fine tune their own models. Right? As their first major AI implementation of 2024. Start simple.
Jordan Wilson [00:34:57]:
You have to start simple. You have to be able to measure something that people kinda hate doing. Right? These manual, mundane, manual tasks. Yeah. I said the word manual twice there. Number 8, even experts can't keep up with the latest AI advancements and the latest models. Alright. Here's here's what I mean by that.
Jordan Wilson [00:35:21]:
And this is actually I think it's a humbling, situation or a humbling experience for all of us. Right? I was like, wow. That's crazy. Right? Yeah. I talk about AI every day. I write about it every day. I read about it every day. I you know, sometimes I don't sleep.
Jordan Wilson [00:35:37]:
Right? And being able to go and and talk to different experts at different companies and people saying, yeah. I can't keep up with AI. Right? Some of the biggest, you know, some of the biggest companies in the world. They're saying I can't keep up. I think having that approach is important. Right? We're all in this together. Right? No one no one out there has 20 years of experience in large language models. This is a new game.
Jordan Wilson [00:36:12]:
And I think understanding for all of us out there that even the experts can't keep up because there's usually dozens of noteworthy updates every single day, but we're all rushing there. We're all trying to figure that out. No one can. That was a surprising trend that I heard. Right? Talking to experts and again, learning from 0. So not going up and saying, hey. I saw, you know, this, this, and this happen in your industry. I saw your competitor release this yesterday.
Jordan Wilson [00:36:40]:
People can't keep up. Right? So you could look at that as a downside, or you could look at that as your competitive advantage. Shameless plug. Listen to us every day. Read our newsletter every day. It's a cheat code, because then you can be smarter than even the experts in many cases. Right? Because people kinda get stuck in their well of of experience or their well of expertise, and then they lose sight of what's going on in the surface. Right? So with everyday AI, you can stay up to date there on the surface.
Jordan Wilson [00:37:09]:
But, even the experts are building faster than they can keep up with. Alright? Number 9, couple more. Everyone's more worried about the cost than learning. Right? Most most, and this is a trend I saw, people don't care about understanding AI. They don't. They don't wanna read about it. They don't wanna sandbox it. They don't wanna go side by side and, you know, compare, you know, different outcomes and and really have, you know, conversations.
Jordan Wilson [00:37:53]:
They don't wanna break things. They don't wanna reverse engineer things. They want to click one button and watch money pile up. It's not how this works. It's not how this works. There's there's been this huge paradigm shift. Right? And I don't know. I don't know.
Jordan Wilson [00:38:14]:
I blame social media or I don't know who I blame. Right? But you always see these, you know, posts online or blog posts or whatever. Right? These these sensationalized news headlines. Oh, company x implemented AI and, you know, they cut down time on this by 95%. So companies just are looking for an easy button. There's no easy button in AI. Although, once you learn, you're just in a room full of easy buttons. Right? But you've gotta almost build that easy button yourself.
Jordan Wilson [00:38:48]:
People care more about the cost. Oh, how much does this cost? How much does this cost? Never. No one's ever asking. How does it work? What can this do for us? Everyone's, how much does this cost? How can we scale this? Right? What if it's the wrong solution? And I get it. You know, number 8, number 9 here, relate to each other, but it is this breakneck pace. People just wanting to keep up. They're like, oh, 10:10 new options were released today. What does each one cost? Alright.
Jordan Wilson [00:39:20]:
Let's go with this one. Go. No. Gotta learn. You gotta learn. You gotta look under the hood. You gotta understand the road. You gotta understand the map.
Jordan Wilson [00:39:30]:
I think augmented learning is the separator for businesses. Alright? Because you have to learn the 101 before you can profit off the 202. Right? Think of it like college. You gotta take those 101 classes so you can have a baseline understanding. If you wanna be an expert, if you want your business to succeed, if you want your career to thrive, you gotta understand the basics. 2 more. 10. For our technical friends out there, a trend that I noticed, compute inference and training cost will fall.
Jordan Wilson [00:40:04]:
I know right now there's this hot topic debate of, oh, AI is is hitting a wall. Right? No. It's not. It's not. It's literally not. You know, this is something that, you know, gets clicks online and gets attention and gets comments. AI AI is not hitting the wall, because computes, inference, and training costs are falling faster than ever. Right? So a trend that I'm seeing now across the board is, kind of this chip shift mentality.
Jordan Wilson [00:40:34]:
Alright. Yeah. I know this is a little technical, but for the most part, so many of the AI tools that we're using today, right, they were probably first conceived and first built on GPUs. Right? General purpose GPUs, which is not necessarily the best thing. So a lot of this, a lot of these tools and a lot of the underlying technology of thousands of tools was originally built and trained by using a lot of general purpose GPUs, which which, essentially, to put it simply. Right? And sometimes I I, oversimplify things. So, you know, the accuracy for the 1% might not be there, but for everyone else, it is. Right? We've essentially over the last, you know, I'll say from, you know, 2015 to 2023, we're using a lot of general purpose GPUs, which is not always the best thing to do.
Jordan Wilson [00:41:29]:
Right? So now we've seen over the last year, and I think it's really ramping up this increased attention to compute inference training costs and even on device AI. Right? So now instead of companies using general purpose GPUs, which is sometimes wasteful, sometimes slow, and sometimes limiting on the potential of whatever, you know, AI it is that the company is building. Now there's a shift. And we're seeing more NPUs, neural processing units. We're seeing more DPUs, data processing units. So, you know, it starts from the top down. Right? But now we're seeing hardware, right, that has NPU. So even when we're talking about running AI on a local machine, it's getting faster, better, smarter, cheaper, more energy efficient.
Jordan Wilson [00:42:18]:
Right? Which is huge. Energy is huge. Right? And I actually walked away from this conference, somewhat optimistic about this, you know, AI's overall environmental impact. Alright? Had a great great episode on that, by the way. We'll make sure to leave it in the show notes. Alright. And then last but not least, sorry to leave this on a bummer y'all. Number 11, trend.
Jordan Wilson [00:42:43]:
If you're not using AI daily in 2025, your company will start to die. I'm sorry. I gotta stop being nice. I've been trying to be the nice guy for 2 years. Right? Doing this every single day. Oh, you need to adopt or else you're going to struggle. No. If your company is not using AI daily in 2025, your company will start to die.
Jordan Wilson [00:43:09]:
Not saying you're gonna go out of business. It's not what I was saying. Right? I've said this from since day 1. Right? 2023 was the year of experimentation. 2024 was the year of implementation. 2025, that's separation. That's where your company will start to die. You will start to lose business.
Jordan Wilson [00:43:29]:
You will start to lose profit. You will start to lose customers. You will start to lose whatever. If you are still not fully going all in on AI and learning about it, and then 2026 is extinction. The good thing about having a daily podcast with transcripts that you can go and search on the Internet, I've been saying this since day 1. Nothing has changed. Companies are going to start dying very soon. If you are still as an organization, especially here in the US, let me preface that US based organizations where it is the wild west use as much AI as possible.
Jordan Wilson [00:44:02]:
No laws, no rules, no regulations. If you're not using it daily, your company's gonna start dying, period, because everyone else is. You can't be the last company to get on this tech innovation. You can't be, you know, looking at the Gartner hype cycle every every month thinking it's gonna change or save your company. Smaller companies are gonna gobble you up. Your bigger competitors are gonna eat up your market share like the last piece of pie on that Thanksgiving. Right? Right? That last slice. They're gonna take it from you.
Jordan Wilson [00:44:38]:
They don't care if you eat. If you don't stay hungry, your company will not eat. You gotta be doing this every day, y'all. I'm a I think I'm gonna stop being nice. Sorry. 2025, you're gonna have mean guy, Jordan. Alright. You know? And that's not just me.
Jordan Wilson [00:44:56]:
Right? We talked about this before. There was a very, you know, kind of, famous and very helpful, study in the Harvard Business, review. They just show jobs. Right? They're like, oh, yeah. You know, everyone says, oh, AI is gonna create more jobs than it's gonna take away. And I literally, that was the premise of my first ever episode of everyday AI, like, almost 2 years ago. And I said, no. That's not how it works.
Jordan Wilson [00:45:19]:
Alright. Now we're finally seeing because it takes a long time to get this data. Like, nope. That's not that's not what's happening here. AI is taking away more jobs than it creates. Yes. It's gonna AI is going to create tens of millions of jobs that we don't know will exist in the coming years decades. But in the short term, it is taking away jobs.
Jordan Wilson [00:45:38]:
Right? And, again, not trying to end this on a pessimistic note, so let me twist this. If you're listening to this, you're already ahead. If you implement this, you will not just survive, you will thrive. Alright. That's it y'all. I know a longer one today, but someone said, you know, bring bring the fire. So I I had to sip the coffee, crank up the temperature a little bit. So, I hope this was helpful.
Jordan Wilson [00:46:11]:
So these undercover insights, 11 hidden AI trends. I know they were all over the place, but, so was the conference. Right? Yeah. There's a lot of Microsoft that we talked about today, but, you know, talking to big consulting companies, technology companies, AI companies, you know, health care, automotive, transport right? Like, every single sector. I talked to dozens of people, and I wanted to deliver you all what I'm seeing, where this is going. So I hope this was helpful. So, if you haven't already, I did kind of promote this and tease this. Right? So, if this was helpful, share this, please.
Jordan Wilson [00:46:46]:
Right? People are always like, oh, Jordan, what can I do? I listen to you every day. Share this thing, you. Share this thing, y'all. So if you are listening here on LinkedIn or maybe on Twitter, just go ahead click that repost button, tag someone in the comments, whatever. Then send me a message and I'm gonna put together a quick little, probably video on the five smaller copilot AI tools that I think will make a bigger impact, sooner than these marquee, you you know, autonomous agents copilot studio. I I I have 5 of them. Alright. So, please share this.
Jordan Wilson [00:47:20]:
Thank you for tuning in. If you haven't already, please go to your everydayai.com. Sign up for the free daily newsletter. We're gonna be recapping today's show, and we recap every other show. So please go do that. Please also tune in tomorrow and everyday for more everyday AI. Thanks y'all.
11 Hidden AI Trends from Microsoft’s Ignite Conference
Here’s the real tea y’all.
After three days of playing AI newbie at Microsoft Ignite, I uncovered insights that weren't in any keynote.
By starting every conversation from zero, I got executives, product leaders, and tech visionaries to reveal what's really happening in AI.
Make sure to go check out today’s entire episode. It’ll be worth your time.
Here's what 10,000+ attendees missed while chasing the obvious headlines that I’m delivering to you on a friggin silver platter.
Here’s 11 AI trends I unearthed for you while incognito-ish at Ignite. 👇
1 – The Copilot Paradox: Too Many Options, No Clear Path 😶🌫️
Microsoft released 90+ new AI features, but users are paralyzed by choice.
SharePoint now has built-in AI agents by default, Teams has multiple specialized Copilots, and Copilot Studio promises customization.
The problem? There's no decision tree for when to use what.
Even Microsoft's own product leaders admit they can't create a unified map of the Copilot ecosystem.
Instead of choosing a starting point, successful companies are working backward from desired outcomes. This is harder but more effective than trying to master every Copilot variant.
Here’s a much more in-depth recap of what was announced.
2 – Microsoft's AI Lead is Becoming Dangerous 😬
Microsoft isn't just winning when it comes to AI – they're lapping the competition.
Which isn’t actually a good thing for the rest of us.
Google's Gemini chat uses models 6-9 months old, while their powerful AI Studio remains disconnected from their ecosystem.
Apple's "groundbreaking" AI features are technology that existed four years ago. It’s kinda embarrassing TBH.
This gap is so wide that Microsoft could theoretically pause innovation, take like a two-year sabbatical, and still maintain their lead. That's not just impressive – it's concerning for the future of AI competition.
3 – The $30 Problem Killing Enterprise AI Adoption 🤦
Large companies are playing a dangerous game with Copilot licensing.
IT leaders obsess over the $30 monthly per-user cost while ignoring ROI, and C-suite demands ROI before approving licenses.
This creates a deadlock: no licenses means no learning, no learning means no ROI, no ROI means no licenses.
The reality?
That $30 pays for itself in productivity gains almost instantly – if you know what you're doing. But companies are too focused on budgets to see the opportunity cost.
4 – Real-Time Personalized AI is Already Here 👀
I witnessed technology that wasn't supposed to exist until 2025: AI generating personalized content in real-time.
We're not talking about basic customization – this is dynamic rendering of websites, emails, and even video games.
NVIDIA's CEO predicted this capability was "years away" in March. By November, it was being demonstrated live.
Mind. Blown.
This isn't vapor-ware. The hardware, cloud infrastructure, and algorithms are ready. The only question is who will deploy it first.
But just know, everything you consume is gonna be heavily influenced (or created by) AI.
And it’s gonna be eerily personalized to you.
5 – The Agent Bubble is ballooning 🎈
Every booth, regardless of relevance, was pushing AI agents.
Like Oprah handing out AI agents.
But with more promise vs. something actually tangible hidden under your studio audience seat.
The longest lines weren't for practical solutions – they were for anything with "agent" in the name.
This mirrors the 2022 GPT wrapper boom. When major platforms release one new feature, dozens of agent-focused startups will become obsolete overnight.
The real innovation in agents is happening quietly, while the noise comes from companies jumping on buzzwords.
I’m not talking about Microsoft here. They’ve (unsurprisingly) become the worldwide leader in autonomous AI agents.
We sat down with their VP of AI and Agents and gave you the scoop.
6 – Small Features Will Outperform Flagship Products 🏋
While everyone obsessed over autonomous agents, the real value is in smaller Copilot features. Basic workflow automation and everyday task enhancement will drive immediate ROI.
The proof? Microsoft's most successful implementations aren't from their headline features – they're from simple, focused tools that solve specific problems.
Think email drafting and basic data analysis, not autonomous decision-making.
Make sure you go repost today’s show, and I’ll send you a lil video with those that we’re not publishing elsewhere. (For now.)
7 – Simple Stories are Driving Enterprise Adoption 📖
Companies are failing at AI implementation because they're aiming too high.
The winning strategy? Start with a paper company automating email responses about office supplies.
This isn't sexy, but it's working. Companies seeing real results focus on eliminating specific manual tasks rather than transforming entire workflows.
The best implementations start with problems so basic they seem beneath the power of AI.
8 – The Expert Knowledge Gap 🧠
Here's the reality check: even the people building this technology can't keep up with all the developments.
This isn't a weakness – it's the pace of innovation.
Product leaders at bajillion dollar companies admitted they learn about competitor releases from Twitter, not internal analysis. Or, sometimes they just don’t know.
This creates an opportunity: being well-informed about the broader AI landscape is now a competitive advantage.
Where can you do that?
Oh…. right here shorties.
(We gotchyu)
9 – The Fatal Focus on Cost Over Learning ❌
Organizations are obsessing over price tags while their competitors master the technology. Everyone wants ROI before education, but that's backwards.
The companies winning with AI invested in understanding before demanding returns. They built expertise first, then measured outcomes.
You can't calculate ROI on a tool you don't understand how to use.
Yet, that’s what everyone’s racing to do because something’s trending online, or some board member is barking about some LLM they don’t understand.
We spoke about overcoming the fear of AI and how to empower your employees in a previous episode.
10 – The Economics of AI are Shifting 💸
The shift from general-purpose GPUs to specialized processing units isn't just technical – it's economic. Training and inference costs are plummeting faster than most realize.
Energy efficiency improvements and local processing capabilities are making AI more accessible every month.
This isn't just about cost reduction – it's about democratizing AI access.
11 – 2025: The Year of AI Darwinism 🚀
I've been saying this since day one y’all, but now I have confirmation from industry leaders: 2023 was for experimentation, 2024 is for implementation, and 2025 is when companies either thrive or start to die.
No more Mr. Nice Jordan.
If your organization isn't using AI daily by 2025, you won't just be behind – you'll be starting to lose market share to competitors who are.
It won’t be small. It’ll be a gut punch. And you won’t know what hit ya.
There's no more time for year-long pilot programs and careful evaluation over multiple quarters. The market won't wait, and neither will your competition.
The message from Microsoft Ignite is clear: AI isn't a future concern. It's a present reality.
And something is happening over the next two months – Microsoft is gonna be rolling out dozens of new AI features for general release.
We see the next 3 months of Generative AI moving MUCH faster than 2020-2023.
Combined.
The gap between companies that get this and those that don't is about to become a chasm.
You’re prepared.
Need help with the next step? Holler at us.