🦾How You Can Leverage:

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. 👇

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. 

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.

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.

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. 

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. 

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.)

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.

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) 

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.

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.

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.