WEBVTT

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So get this. China just hosted the first three

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on three autonomous robot football match. No

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kidding. Autonomous. Yeah. These weren't remote

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control. They were, you know, zipping around,

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passing, scoring goals all by themselves. Wow.

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And I heard some buzz like they're playing kind

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of close to the level of China's actual national

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team. That's what they're saying. That's definitely

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a aha moment. Seriously. It really is. But it's

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not just a quirky headline. Yeah. This kind of

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thing, this real world stuff, it hints at how

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fast AI is progressing, like beyond the hype

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into actual practical things. Tangible progress.

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Yeah. Welcome to the deep dive. Hey, everyone.

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Today, we're really digging into a pretty significant

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new report. It's called The Builder's Playbook,

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State of AI 2025. And it's from IconicQ. We've

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also pulled in some other sources, too, to give

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you the full picture. Yeah. And this one's interesting

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because it's not about AI's like future potential

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five years down the line. This report talked

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to over 300 execs. It's about what companies

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are actually building right now, what they're

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deploying today. So our mission here is to pull

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out the really crucial insights for you. We'll

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look at how companies are scaling AI. Yeah, the

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adoption piece. And the latest breakthroughs,

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like in human -computer interaction, basically

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help you navigate this shift from AI hype to

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actual application. We're going to look at the

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real numbers, some pretty surprising uses popping

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up, and what it all kind of means for where AI

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is heading this year and, well, beyond. Okay,

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let's unpack this builder's playbook first. The

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main message, it seems pretty clear. Yeah. 2025

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is really shaping up to be the year of building

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with AI. Definitely. And companies that started

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out AI first, they're already seeing much better

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results. Oh, absolutely. The numbers are stark.

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Like 47 % of those AI native startups, the ones

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built around AI, they've hit product market fit

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already 47%. Compare that to like only 13 % of

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the older companies that just tried to, you know,

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bolt AI onto their existing systems. It's kind

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of like building with Legos from the ground up

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versus just trying to glue some Legos onto an

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old brick wall. It just doesn't integrate the

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same way. That makes sense. And this building,

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it's not cheap experimentation anymore, is it?

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No way. AI budgets are serious money now. We're

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seeing, what, 10 to 20 percent of R &D spend?

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At least. Yeah, 10, 20 percent dedicated to AI

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across different industries. And that number

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is actually going up. So companies are really

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betting on this. They are. But here's where it

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gets really interesting, I think. Internal adoption.

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So the report says 70 % of employees in these

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companies, they have access to AI tools now,

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which sounds great, right? Yeah, that's a lot.

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But only about half of them actually use the

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tools regularly. So the access is there, but

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not the usage. Exactly. It's kind of like having

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a fancy gym membership, you know, but never quite

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making it through the door. The potential is

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there, but. Yeah. Yet for the companies that

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do get people using it. Oh, the payoff is huge.

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These high use organizations, the ones running

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like seven or more internal AI things, they're

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seeing big productivity gains. We're talking

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15 to 30 percent. Wow. 15 to 30 percent. Yeah.

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You can't ignore that. Nope. Businesses definitely

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notice those numbers. Now, the tooling, the stuff

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underneath, it's still a bit fragmented. Different

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frameworks and stuff. Yeah. You got lane chain,

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pie torch. companies building their own custom

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stacks. But it is starting to settle down a bit.

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For the big enterprise models, open AI is still

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kind of the leader. Anthropix Cloud is a really

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solid number two, though. And coding assistants,

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that seems big, too. Huge. Tools like Cursor

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or just using Cloud for coding. It's massive.

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Get this. 33 % of code in these high growth startups

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now generated by AI. A third of the code. Wow.

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It's really augmenting developers big time. OK,

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so if these AI native companies are shipping

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faster, seeing these big games, what do you think

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is the single biggest hurdle for the more established

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companies trying to catch up? I'd say primarily

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it's about changing the culture and just genuinely

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getting employees to use the tools they're given

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day in, day out. So it's less about the tech

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itself sometimes and more about the people and

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the processes. Yeah. Overcoming that internal

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inertia. Exactly. That seems to be the core challenge

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right now. And tied into that building theme,

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this report really, really hammers home one point.

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2025 is the year of AI agents. Agents, okay.

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Almost 90%. Nearly 9 out of 10 high growth startups

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are either deploying them now or experimenting

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really heavily with them. Let's just quickly

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define agents again. We're talking about AI programs

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that can perform. Right. Often by using other

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tools. Exactly. Like smart assistants that can

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string actions together, you know, figure out

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a plan to achieve a goal without you holding

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their hand the whole time. Got it. And the report

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suggests being AI native, using multimodal AI.

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Yeah. AI that gets text, images, audio. And being

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talent stacked. Yeah. Having the right people.

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That puts you ahead. Yeah. That's the winning

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combo, according to this. And the message feels

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pretty clear, you know, if your company's still

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just kind of. AI curious, like no real budget,

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no actual plan to build something, you might

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already be slipping behind. So it's ship or slip

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time, as they say. Pretty much. Build fast or

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get left behind. That seems to be the vibe. Okay.

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So that raises a really practical question for

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people listening. How can individuals, maybe

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tech leads, maybe just folks wanting to improve

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their own work, how can they realistically start

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building with these agents or just use AI better

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day to day? Well, some of the other sources we

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looked at had some really good practical stuff,

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like tutorials on building agents connecting

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Claude to Notion, maybe automate some tasks there.

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Okay. Or guides on mastering AI research using

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tools like Perplexity, which is pretty powerful.

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Right. And just getting better at using chat

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GPT effectively, like maintaining context. Ah,

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context drift. Yeah. Vulnerable admission. I

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mean, I still wrestle with prompt drift myself

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sometimes. You know, you're having a long chat

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with the AI and it just kind of forgets what

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you were talking about. That happens all the

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time. So, yeah, those tips on keeping the context

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clear, they're gold. Really helps stay efficient.

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So it's not just about knowing what agents are

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conceptually, but really digging into how to

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build them, how to direct them effectively. Totally.

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Given that, how crucial is it, do you think,

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for individuals to really get a handle on these

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agent concepts now? Oh, it's super crucial. I'd

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say it's becoming a foundational skill for productivity,

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for staying competitive in almost any job, honestly.

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So mastering these agent building skills, it's

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not just for coders or AI specialists anymore.

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It's becoming fundamental. Absolutely. It's moving

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into the mainstream toolkit. OK, so beyond that

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builder's playbook, we're also seeing just a

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really wide range of AI stuff happening out in

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the real world. Yeah, it's popping up everywhere.

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It paints a pretty vivid picture of how fast

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this is all moving. Totally. Like, remember that

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robot football match we mentioned? It's not just

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a gimmick, right? It shows real practical autonomy.

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You can see how that applies to, I don't know,

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warehouse logistics or manufacturing. Right,

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the underlying tech. Exactly. And then there's

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that weird thing with the indie band. I forget

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their name. Oh, yeah. The one that went viral.

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Yeah. And everyone's like, that's got to be AI,

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right? But the band swears, nope, 100 % human.

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It really does blur the lines, doesn't it? Makes

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you question what's real creativity anymore.

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For sure. And capabilities are just leaping forward

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like crazy. TPT 4 .0, the latest model, just

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scored an A -plus on law school finals. An A

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-plus. Wow. Wasn't it like a C plus before? Yeah,

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a huge jump. That's not just about passing a

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test. That's showing deep understanding, reasoning,

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complex legal stuff. It's kind of mind blowing.

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It really is. And then on the totally other end

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of the spectrum, you got this Redditor who apparently

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spent 72 hours just meticulously tweaking a prompt.

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72 hours just to get ChatGPT to do exactly what

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they needed for some specific task. Wow. That's

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dedication. Right. It shows how much human effort

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and cleverness is still needed to really unlock

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what these tools can do. It's not magic push

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button stuff yet. No, definitely not. And then

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in the bigger industry picture, Elon Musk's XAI.

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Oh, yeah. The funding round. Raising a staggering,

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what, $10 billion? $10 billion. to build a massive

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supercomputer, a million GPUs just for training

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rock. That's a huge power play against OpenAI

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Anthropic. It's a serious statement. Like we're

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going all in on raw computing power. It's a high

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stakes race. You're seeing real societal impacts,

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too, aren't we? It's not just tech anymore. Absolutely.

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Like reports of entry level jobs in the UK being

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down by a third. With a third. Wow. Yeah. And

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they're linking it largely to AI tools, automating

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some of those tasks. And then you have X, you

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know. formerly Twitter, they're going to pilot

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AI chatbots for community notes, which is, well,

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it's going to be interesting. Yeah, interesting

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is one word for it. Using AI for content moderation

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and fact -checking at that scale. It's a massive

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real -time experiment in AI trustworthiness,

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basically. Okay, so taking all these things together,

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the rapid advances, the huge investments, these

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immediate societal effects, what does it all

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tell you about the speed of AI integrating into

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our lives? It's just... Accelerating, like mad,

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hitting everything, jobs, social media, creativity,

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how we even think about intelligence itself.

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So this isn't some far off future thing anymore.

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It's actively reshaping our present, like right

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now, incredibly fast. Absolutely. It's here and

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it's moving quicker than most people probably

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realize. OK, now here's where things get really,

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really interesting. Almost moving into science

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fiction territory. Oh, OK. Imagine being able

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to communicate, express thoughts. Maybe even

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sing. Just by thinking. Whoa. Okay, brain -computer

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interfaces. Exactly. Researchers at UC Davis

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just revealed this near -instant brain -to -speech

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system. Near -instant? Yeah. It literally translates

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raw brain signals directly into expressive sound.

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Not just words, but pitch, intonation. Wow. Even

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singing. Two -sec silence. Singing. Just from

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brain signals. Whoa. I mean, imagine scaling

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that to like a billion queries a day. Or just...

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To every patient who can't speak. That's the

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potential. It's profound. Genuinely mind -blowing.

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And what's really amazing is how it works. It

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completely skips generating text. Skips the text

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part. It uses a custom AI decoder for the brain

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signals. Then a vocoder. That's the thing that

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makes the speech sound. Right. Synthesizes the

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voice. And it matches the patient's natural voice.

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All with a lag, a latency of just 10 milliseconds.

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10 milliseconds. That's practically real time.

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And unlimited vocabulary. Pretty much. You can

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think of a new word. The system could potentially

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voice it. The flexibility is nuts. Okay, but

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how good is it? Like, can people actually understand

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it? It's not perfect yet, for sure. Listeners

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get about 56 % of the words right. 56%, okay.

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But compare that to maybe 4 % for someone trying

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to speak without aid who has severe paralysis.

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Oh, wow. Okay, so 4 % versus 56%. That's a monumental

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leap. Huge leap. Even if it's not quite ready

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for, like... a totally fluid back and forth conversation

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yet. Still, that's incredible progress. And the

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next step, they're working on expanding it using

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over 1 ,000 electrodes with a BCI startup, Paradroma.

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1 ,000 electrodes, okay. And they're already

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prepping for FDA trials for a more advanced implant,

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which raises the question, how long before the

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big tech companies, your Apples, your Metas,

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how long before they jump into this with their

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own neural vocoders? Yeah, you gotta think they're

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watching this very closely. The potential for

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totally new ways to communicate. It's just immense.

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It could unlock so much. So if this tech keeps

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scaling, keeps getting better, what do you think

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might be the single most profound societal change

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it could bring? Hmm. The ability to unlock the

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inner thoughts, the voices of millions who've

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been silent. Just fundamentally changing how

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we understand consciousness connection. So it's

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not just about restoring speech for some. It

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could actually redefine human connection itself.

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Precisely. It feels that big. So wrapping this

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all up then, what does it all mean? Our deep

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dive today, looking at the state of AI 2025,

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all these other sources, it shows a really clear

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shift happening, doesn't it? Yeah, it really

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does. AI is moving fast. It's gone from being,

00:12:40.250 --> 00:12:42.529
you know, a cool buzzword or something way off

00:12:42.529 --> 00:12:45.110
in the future to being a fundamental tool, like

00:12:45.110 --> 00:12:47.549
the tool you need for building and innovating

00:12:47.549 --> 00:12:50.039
right now. And companies seem to be facing a

00:12:50.039 --> 00:12:52.600
choice. Totally. They're either embracing it

00:12:52.600 --> 00:12:55.639
strategically, really integrating it, or frankly,

00:12:55.820 --> 00:12:58.500
they're risking getting left way behind. It feels

00:12:58.500 --> 00:13:00.659
like a build or bust moment. We've seen everything

00:13:00.659 --> 00:13:03.720
from those practical hurdles, like getting employees

00:13:03.720 --> 00:13:05.980
to actually use the tools. Right, the adoption

00:13:05.980 --> 00:13:09.379
challenge. All the way to these massive billion

00:13:09.379 --> 00:13:11.539
dollar investments in supercomputers. Yeah, the

00:13:11.539 --> 00:13:14.580
raw power race. And then these truly revolutionary

00:13:14.580 --> 00:13:17.960
neuroprosthetics, bridging thought and sound.

00:13:18.580 --> 00:13:22.639
It feels like AI is just rapidly reshaping everything,

00:13:22.919 --> 00:13:25.379
how we work, create. Even how we communicate.

00:13:25.700 --> 00:13:28.799
Yeah, the pace is just astonishing when you step

00:13:28.799 --> 00:13:30.620
back and look at it all. It's not just about

00:13:30.620 --> 00:13:33.980
what AI could do anymore, is it? No, not at all.

00:13:34.000 --> 00:13:36.639
It's crucially about the how. How are companies,

00:13:36.820 --> 00:13:39.000
how are individuals actually building with this

00:13:39.000 --> 00:13:40.879
stuff? How are they integrating it, innovating

00:13:40.879 --> 00:13:43.480
with it? Right now, that's where the real action

00:13:43.480 --> 00:13:46.190
is. We covered a lot of ground today. From the

00:13:46.190 --> 00:13:49.570
nitty -gritty of enterprise adoption to all those

00:13:49.570 --> 00:13:53.049
diverse applications popping up everywhere. And

00:13:53.049 --> 00:13:56.169
finally, that incredible, almost sci -fi possibility

00:13:56.169 --> 00:13:59.639
of brain -to -sound communication. It really

00:13:59.639 --> 00:14:01.600
makes you wonder, doesn't it? If our brains can

00:14:01.600 --> 00:14:04.279
one day directly connect with AI to express thoughts,

00:14:04.480 --> 00:14:07.840
maybe even music, just from intention, what other

00:14:07.840 --> 00:14:10.799
forms of human creativity or communication or

00:14:10.799 --> 00:14:14.039
even consciousness, what else might AI fundamentally

00:14:14.039 --> 00:14:17.200
transform next? It just opens up this huge space

00:14:17.200 --> 00:14:19.980
of possibilities. It really does. So maybe a

00:14:19.980 --> 00:14:21.960
final thought for everyone listening. Reflect

00:14:21.960 --> 00:14:23.919
on your own relationship with AI. Are you actively

00:14:23.919 --> 00:14:25.759
building with it? Are you thoughtfully adopting

00:14:25.759 --> 00:14:28.320
it? Or maybe still just curious, watching from

00:14:28.320 --> 00:14:29.769
the front. the sidelines yeah there's always

00:14:29.769 --> 00:14:31.590
more to learn always more to explore in this

00:14:31.590 --> 00:14:33.669
space moving so fast out to row music