Are you ready to flip the script on what you think you know about AI in business?

Today, we’re diving into the surprising reality that big tech might not be the unstoppable force we’ve been led to believe. Instead of taking over the world and replacing human jobs, it turns out that small businesses are quietly outsmarting the giants by using the same AI tech in far more effective ways. We’ll unpack some jaw-dropping statistics, like how enterprises are throwing billions at AI but not seeing the expected returns, while solopreneurs are saving thousands and winning big with agility and flexibility.

So, grab your headphones and get comfy, because we’re about to explore why the little guys are winning the AI game and what that means for the future of business!

This Deep Dive podcast is AI generated from the Start With AI Newsletter on LinkedIn - linkedin.com/newsletter/start-with-ai

The Details

The narrative around AI has often been dominated by the story of large corporations and their supposed ability to leverage massive budgets to dominate the market. But what if we told you that the real winners in this AI revolution are actually small businesses and solopreneurs? This episode unpacks this flipped narrative, showcasing how small enterprises are outpacing their larger competitors by adopting AI tools in ways that suit their unique needs.

As we dissect the numbers, we find that while big tech companies are grappling with inefficiencies and wasted resources, smaller businesses are reporting significant savings—often between £500 and £2,000 a month—by integrating AI into their daily operations.

We also highlight the importance of agility in this new landscape; while large companies are bogged down by bureaucracy and lengthy approval processes, small businesses can pivot quickly and experiment with new technologies without the weight of institutional inertia. The result?

A fascinating shift where small businesses are not just surviving but thriving, using AI to enhance their productivity and scale their operations far beyond what was previously possible.

Takeaways:

• The narrative around AI often suggests large corporations will dominate, but the opposite is happening.
• Surprisingly, small businesses are using AI more effectively than big enterprises, often saving significant costs.
• Companies like Uber are struggling with AI costs, illustrating the financial burden of replacing human labor with machines.
• Agility is becoming a crucial advantage for small businesses in the rapidly evolving AI landscape.

Chapters:

• 00:00 - The Narrative of Artificial Intelligence
• 01:05 - The Economic Reality of AI Deployment
• 06:51 - The Agility of Small Businesses in Adopting AI
• 14:46 - The Emergence of Agility in Solopreneurship
• 20:43 - The Impact of AI on Business Structure

Links referenced in this episode:

• kajabi.com

Companies mentioned in this episode:

• Morgan Stanley
• Uber
• Nvidia
• WalkMe
• HubSpot
• Kajabi

You know, if you followed any business news over the past few years, you've definitely been fed this very specific, almost inevitable narrative about artificial intelligence.

Oh, absolutely.

The whole, you know, enterprise dominance story.

Right.

It's painted entirely as this big enterprise game.

The story goes that giant corporations, the ones with, like, bottomless pockets and massive server farms, are going to use AI to just replace human labor on this unprecedented scale.

Yeah, the classic the robots are coming for the corporate jobs headline.

We've all seen it.

Exactly.

But what if you actually looked past the press releases and checked the hard data?

You know, what if you found out that the exact opposite is happening right now?

Well, it's a complete inversion of how we usually think about technological revolutions.

Honestly.

Yeah, yeah.

I mean, historically, we just expect the biggest players to win simply because they have the most capital.

But the reality on the ground right now, it's painting a radically different picture.

Actually, capital might be the very thing blinding them.

Wow.

And, you know, that contrast is really our mission for today.

And it is a fantastic piece of analysis.

It really is.

It completely dismantles the assumed economics of AI.

We're going to explore why big tech is currently bleeding just absolute fortunes on.

These massive AI deployments, while small businesses are quietly outmaneuvering them.

Exactly.

Using the exact same underlying technology, which is wild.

So let's start right at the top with this enterprise reality check, because the.

Expectations were just astronomical.

Right?

Oh, totally out of this world.

But the harsh reality of the current data is, well, it's brutal.

We have a report here from Morgan Stanley that highlights a staggering $740 billion in AI capital expenditure.

Let that number sink in for a second.

$740 Billion.

Wait, 69% in one year?

Yeah.

They are accelerating their spending at a breathtaking pace.

And it's largely driven by this.

This assumption that if they just pour enough money into raw compute power, the operational efficiency will just inevitably follow.

Okay, let's unpack this.

Yeah, because the efficiency isn't following, like, at all.

No, not even close.

Look at Uber.

Their chief technology officer came out recently and basically admitted that he is back to the drawing board.

Yeah, that was a surprising admission.

Right.

The budget he thought he would need for their AI deployments is completely blown out of the water.

I mean, they basically ran out of money before they ran out of problems to solve.

Which, you know, brings us to perhaps the most telling quote in our entire stack of sources today.

This is from Nvidia's vice president of Applied Deep Learning.

Oh, right, and Nvidia is the company practically powering the hardware for this entire revolution.

Exactly.

So he said, and I quote, the cost of compute is far beyond the costs of the employees.

That is just wild to me.

Right.

And he wasn't talking about like a twenty dollar a month subscription for a freelancer.

He was describing the reality of large scale enterprise AI.

The exact multimillion dollar deployments that were supposed to make human labor redundant.

Precisely.

It turns out replacing humans with machines is incredibly expensive.

They look at the technical requirements of AI models needed to perform jobs at a human level.

Right.

Specifically focusing on visual tasks, I believe.

Yep.

Things like quality control, image analysis, visual inspection on assembly lines.

And they found that AI automation was economically viable only 23% of the time.

Wow.

Meaning that in the remaining 77% of cases, it was simply cheaper to just have a human being do the work.

The math literally does not support the automation.

No, because think about the infrastructure required for an enterprise AI visual system.

You need specialized hardware, massive data storage, constant model retraining, and the engineers to.

Maintain all of that.

Exactly.

For the vast majority of tasks, paying a human salary is significantly more cost effective.

And yet these organizations are just pushing ahead regardless.

That is a staggering amount of wasted capital.

It is.

And within those massive enterprises, they found that only 25% of employees were actually using AI efficiently in their workflows.

That 25% figure is crucial.

You have to ask why?

Why it is so low?

Right.

Why are they struggling to adopt it?

Because you can't just drop a sophisticated language model into a legacy corporate workflow and expect magic.

Oh yeah, that makes sense if you.

Give an employee a generic AI tool, but their job still requires them to, you know, navigate six different legacy compliance systems and get manual approval from three different managers.

The AI doesn't save them time.

It probably just adds a whole new layer of complexity.

Exactly.

It makes absolutely no sense on the surface.

I mean, to put this in perspective, it's like a restaurant buying a multimillion dollar industrial laser just to slice their tomatoes.

Right.

Only to realize that paying a chef with a knife is actually cheaper, faster, and, you know, makes a better salad.

But instead of returning the laser, the restaurant just keeps buying more lasers.

That is a perfect analogy.

It's crazy.

So why do these massive companies keep throwing billions of dollars at something when the math fundamentally does not work?

Well, what's fascinating here is that the root cause isn' actually a technical failure.

Really?

What is it then?

It's profoundly psychological and structural.

It's basically the sunk cost fallacy.

Operating at a massive institutional scale.

Oh, that makes a lot of sense.

Yeah.

Think about how an enterprise makes a decision.

A board of directors signs off on a two year, $80 million contract for a specialist AI implementation.

Driven mostly by hype, I imagine.

Exactly.

The belief that AI would quickly pay for itself was driven by fomo, not hard pilot data.

And if you've ever worked in a large corporation, you know exactly what happens next.

You sit in a meeting knowing the new software tool is totally useless, but nobody can say anything because, well, the vice president championed it.

Precisely.

Beliefs that get acted on without examination.

At that scale, it literally costs an organization its ability to change direction.

Because someone has to admit they were wrong.

Right.

Changing direction means a senior executive has to walk into a boardroom and stand up and publicly admit that a multimillion dollar strategic initiative was entirely wrong.

The financial sunk cost is huge, but the reputational sunk cost is even higher.

Exactly.

Add in the nightmare of corporate procurement cycles and it becomes structurally impossible to pivot quickly.

So they just keep pushing forward, burning cash.

Okay, so if these enterprises are completely paralyzed by their own multimillion dollar bureaucracy and these sunk costs, that stranded capital leaves a massive vacuum in the market.

A huge vacuum.

And who is stepping into it?

It's not other tech giants.

The answer to who is actually benefiting from this technology right now lies entirely in the flexibility of the small business.

Because small businesses and solopreneurs, they operate in a fundamentally different reality.

They really do the very things that enterprises view as their core strengths.

You know, their massive scale, their rigorous procurement processes, their multi layered management.

Those become concrete blocks around their ankles in a f moving landscape.

Yeah.

Let's look at the author of our source material.

They are a classic independent creator, a.

True solopreneur, and they are using AI incredibly effectively.

Right.

They are using AI to replace tasks they would normally do themselves or, you know, have to outsource to a really expensive virtual assistant.

Things like inbox management, I think the article mentioned.

Yes, Inbox management, drafting newsletter templates, responding to routine emails, and just doing the heavy research that used to eat up an entire afternoon.

And we have the broader data to back up that individual experience too.

Definitely.

That is massive for a small business.

It is.

Okay, wait.

I have to push back on that 5 to 15 hour stat for a second.

Sure, go ahead.

Is that actual tangible time saved?

Because anyone who has played around with a generic AI writer knows it can often take longer to fix the hallucinations and like edit the robotic tone than it would take to just write the email yourself from scratch.

Oh, I totally agree.

So what makes this different?

It's a great point.

And the distinction lies in how the workflow is actually adapted.

In a corporation, AI is often used to try and generate a final polished.

Product which fails and requires heavy editing.

Exactly.

But the small business owner is using it differently.

They are using it to bypass the blank page syndrome.

Ah, I see.

Yeah, they use it to generate the messy first draft, aggregate the research or format the raw data.

The human is still doing the final polish, but the heavy lifting, the really time consuming part is automated.

And because a solo operator doesn't need to get their AI usage approved by an IT committee, they naturally find these efficiencies through daily trial and error.

Yes, the speed of iteration is key.

Here, and it is completely altering the landscape.

The adoption gap is closing at a speed that I don't think anyone predicted.

It's unprecedented.

Listen to this timeline.

Big tech was totally leading the charge, right?

As you'd expect.

Large business adoption had actually declined slightly, down to 10.5%.

Meanwhile, small business usage surged to 8.8%.

The gap practically vanished in just 18 months.

Here's where it gets really interesting though.

The absolute superpower of the small business owner or the independent creator right now isn't their budget, it's their agility.

Absolutely.

Agility is the new capital.

Think about it.

If a solopreneur tries an AI tool on Monday and by Thursday, they realize the return on investment just isn't there.

You know what they do?

They just cancel it.

Exactly.

They click a button and cancel the $20 subscription on Friday.

Zero procurement cycles, zero governance reviews, zero reputational damage to protect.

If we connect this to the bigger picture.

It fundamentally changes how we view business advantages.

How so?

Well, for decades, operating with severe resource constraints, like not having millions to spend on R and D was seen as a fatal weakness.

Right.

You couldn't compete with the big guys.

But when a technological landscape shifts as fast as AI is shifting right now, that perceived weakness is actually your greatest asset.

Because you weren't tied down.

Exactly.

It allows you to experiment, fail cheaply, and immediately pivot to what actually works while the enterprise is still waiting for legal to approve the first pilot program.

Which brings up a very practical hurdle, actually.

What's that?

How exactly are these agile single person businesses deploying AI so effectively without a massive team of software developers?

Because getting back to my earlier point, we've all fought with those generic chatbots.

Oh, the endless prompting.

Yes.

The ones where you have to explain who you are, what your business does, what your pricing is, and what your tone of voice is every single time you open a new browser window.

It's exhausting.

It is.

How is what these small businesses are doing fundamentally different from that?

Well, they are completely bypassing that generic chatbot phase.

Really?

How?

What's happening now is that AI is being seamlessly integrated directly into the platforms these creators already use to run their businesses.

It removes the technical headache entirely.

Okay, that makes sense.

Our source material highlights a specific platform to illustrate the shift.

They talk about.

Kajabi.

Right.

The author runs their entire business on Kajabi.

We're talking 62 courses, a paid membership site, a podcast, community forums, email lists.

Their entire digital livelihood is hosted there.

And what Kajabi is doing.

And this is really the blueprint for how small businesses are outmaneuvering the giants.

Is building the AI directly into the ecosystem.

Exactly.

They have this feature called co founder.

Yeah.

And this is not just a generic language model.

It's an AI business partner built into the account that actually knows the business.

That's the crucial difference.

Context.

Let me use an analogy here, because I think it helps clarify the mechanism for everyone listening.

Go for it.

Think of a generic AI like a brilliant intern who just walked into your office on their first day.

They're incredibly smart, they can type fast, but they know absolutely nothing about your company.

You have to explain everything to them.

Which takes up all the time you were trying to save.

Exactly.

But Kajabi's co founder, on the other hand, is like promoting an employee who has been reading every single one of your emails, watching every one of your courses, and tracking your sales receipts for the last five years.

The context is already there.

That is exactly how the architecture works.

It already has direct access to the user's products, the audience data, the pricing structures.

It's all baked in.

Right.

When co founder generates an email or a sales page, it is training on those 62 courses the author already uploaded.

It is mapping your existing knowledge base so it never starts from a blank prompt.

Which means the output quality is orders of magnitude better.

Yes, because the context is structurally baked in.

You don't have to explain your brand voice.

It already knows it.

And it goes beyond just writing marketing copy too.

They have a feature called Backstage, right?

Tackling the administrative side.

Yeah, the admin side of running a coaching business, which is notoriously tedious.

It automatically creates private client portals, manages homework assignments, handles direct messaging.

I think it even generates AI session summaries based on your interactions.

It does.

It completely automates the administrative layer that usually prevents a good one on one coaching business from ever scaling the barrier.

To entry in business right now isn't having a good idea.

It's the technical execution of that idea.

By embedding highly contextual AI directly into platforms that a single person can manage, that entire technical headache layer is just removed.

It's amazing.

You essentially give a solo operator the administrative, marketing and operational capabilities of a 20 person enterprise team without any of.

The associated payroll or managerial friction.

So we've seen the macro trend of big tech bleeding money.

We've seen why the Solopreneur's agility is winning.

And we've looked at these specific integrated platforms making it happen, the full picture.

But the author of our source makes a very strong, very specific point that now, like right now, is the critical moment to act.

Why is this window of opportunity opening up on such a specific timeline?

It comes down to a very aggressive release schedule of new capabilities that are about to hit the market.

Things are moving fast, incredibly fast.

These releases are designed to widen the advantage of the Solopreneur even further.

Extremely fast.

The source says this connects the platform directly to external AI tools like Claude, allowing you to draft offers and build web pages from inside an AI agent.

That's a huge technical leap, but pretend.

I'm not a software engineer for a second.

Yeah, what actually is an mcp?

And why is it better than just copying and pasting text into Claude?

So normally to use an external AI effectively, you have to export your data, format it into a massive document, upload it, and hope the AI Remembers it clunky, very clunky.

And the data is immediately out of date the second you upload it.

The model Context protocol, though.

It acts like a secure real time pipeline.

A pipeline?

It gives the AI a direct read only key to your internal databases.

So when you ask it to draft a promotional offer, it isn't guessing based on old data.

Wow.

It is reading your actual live inventory, your current pricing data, and your live customer metrics in real time, pulling it securely through that pipeline to build the campaign.

That is massive.

Yes.

It completely eliminates the lag between your business reality and your AI's understanding of it.

And it accelerates from there.

This is where it gets really futuristic, right?

These are AI teammates trained specifically on your own content.

They sit directly on your sales pages, they live inside your courses, and they answer customer questions 24, 7.

And crucially, all of those interactions feed into a single centralized inbox.

So the creator retains total control and oversight.

You aren't just letting a bot run wild on your website.

You're supervising a highly trained digital employee.

This raises an important question, though, about the longevity of this moment.

What do you mean?

Well, the gap we are seeing right now, where small businesses have this massive tactical advantage while enterprises are stumbling over sunk cost, it's a temporary anomaly.

Ah, I see.

The big guys will eventually figure it out.

Exactly.

The big corporations will eventually write off the bad investments.

They will eventually restructure their departments, figure out their data pipelines, and deploy this efficiently.

This gap will not stay open forever.

So what does this all mean for you?

Listening right now, if you were listening to this and you've been sitting on the fence watching this AI wave and wondering how to actually ride it instead of getting crushed by it, this is a very rare moment, a very brief window.

It's a window where an independent creator can operate with the firepower and the customer service presence of a large enterprise, but without the bureaucratic paralysis.

And while the enterprises are stuck, the author is offering a very specific pathway for independent creators to get set up before that window closes.

Because the launch of these new features coincides with a promotional window, right?

Yes, the Author mentions a 50% off offer on Kajabi through their affiliate link, but it ends exactly when the expert agents launch next Tuesday, June 2.

But there is a bonus that requires acting even faster.

Call that is a significant value add.

And I want to stress this isn't some prerecorded webinar they send to a thousand people.

It's an hour and a half with someone who has built 62 courses and a full membership helping you lay the exact foundations for your specific setup, as they put it.

That call alone will save you weeks of trying to figure the system out yourself.

Yeah, that architectural foundation is just critical.

The technology might be removing the barrier to execution, making it as easy as talking to a co founder, but you still need to structure your digital business correctly from day one.

Otherwise you're just automating chaos.

Exactly.

Getting direct guidance from someone who has already navigated the platform at scale is incredibly valuable when your primary advantage is safe speed.

It really is.

So to bring this all together, the journey we've been on today completely shatters the mainstream narrative you see on the news.

It really flips it upside down.

The real AI revolution, the one actually generating ROI right now, isn't about massive compute budgets replacing entire enterprise departments.

It's not about big tech inevitably getting bigger.

No, it is about agile, single person.

Businesses leveraging highly trained, deeply integrated AI tools to scale their own output to levels that quite frankly, used to require a whole company.

It is the democratization of scale.

I love that phrase.

The enterprise is paying the price for acting on unexamined beliefs, pouring billions into a sunk cost fallacy.

Meanwhile, the solopreneur is simply asking, does this solve my problem today?

And finding platforms that definitively say yes.

And that leaves us with a final thought for you to mull over a little something extra to think about long after you take your headphones off today.

Always good to leave a lingering question.

For centuries we've built larger and larger corporations because scale was the absolute only way to achieve maximum efficiency.

You needed an army of people to build big things, reach big audiences, and provide customer support.

Right?

Scale required headcount.

But if AI platforms now allow a single person to instantly access a Besco marketing team, an admin department, and a 247 customer service coaching team for a fraction of a fraction of the cost,.

Are we about to see the end of the traditional corporate enterprise as the dominant business model?

Exactly.

Will the future Fortune 500 be comprised entirely of companies with fewer than 10 employees?

If the agility we discuss today holds true, that is exactly the structural shift we might be witnessing.

The very beginning of the that's a wild thought.

Thank you so much for joining us on this deep dive.

Stay curious, keep exploring, and always keep questioning the narratives around new tech.

We will catch you next time.