🦾How You Can Leverage:

 Swap "AI" with "internet" in your company's positioning and listen to how stupid it sounds.

"We're an internet-powered company that leverages connectivity to drive innovation."

Cringe.

That's exactly how most company’s "AI-enabled" marketing and positioning sounds to customers who use AI everywhere without thinking about it. 

Simply using AI isn’t a competitive advantage like it was in 2023. It’s the bare minimum. The basics. The essentials.

More than 90% of Fortune 500 companies already run on AI tools and companies are still bragging about leveraging AI like it’s something special. 

The old, successful path to digital transformation is a farce. Throw out the year-long AI pilots. Scratch the long and laborious committees about committees and meetings about those committees meeting. 

AI moves at breakneck speed, which is why it’s time for some brutal honesty about why your company’s AI strategy is likely embarrassing. 

Oh, and we’ll tell you what to do about it. 

That’s why on today's Everyday AI show, we dissected why companies still treating AI like innovation instead of infrastructure are about to get absolutely demolished.

Spicy takes incoming. 

Companies are still using the old playbook for AI adoption.

Step one: Form a committee.

Step two: Run a pilot program for twelve months.

Step three: Schedule quarterly reviews about the pilot.

Wrong approach entirely with AI. 

Google processes 4,480 trillion AI requests monthly. Forty-seven percent of searches automatically show AI results without users asking. Most people don't even know they're using AI anymore.

While you're scheduling another meeting about next year’s AI pilot that the team’s been grappling with for 18 months, competitors rebuilt their entire operations.

Early adopters who ditched traditional tech transformation approaches got $3.70 back for every $1 invested. 

Companies still running pilots and fence-sitting? 74% can't measure positive ROI because they missed the profit window entirely.

The brutal reality is your customers already expect AI-native experiences because they get them everywhere else.

Try this

Kill your current AI committee meetings this week. .

Pull your latest sales materials mentioning AI and replace every instance with "internet." Read it aloud to colleagues. 

When it sounds ridiculous, you found the problem. 

Most executives discover their "innovative strategy" just describes normal business operations. Delete those buzzwords entirely. 

Rewrite focusing on outcomes that were literally impossible two years ago. 

What can customers get from you now that no competitor could deliver in 2023? That's your actual differentiator. 

Let the AI power that differentiator in the background, like electricity. 

Microsoft gives away Copilot free with Office subscriptions starting this January.

Google gives away AI Studio completely free.

ChatGPT works without paying anything now.

Your "competitive AI advantage" you pegged for 2025 of actually using AI at your company is (best case) putting you on even ground with the slowest competitors. 

Here's what's really happening.

60% of people use AI at work without calling it AI, according to Microsoft surveys. They're getting AI-native experiences from Netflix recommendations, Amazon search, Google results.

Then they interact with your company and it feels like visiting a store that only takes check because it takes 2-3 business days to redline an agreement.

(Well, hey, Tim in IT said we can’t use AI with our contracts cuz they’re SOOOOOOO secretive.) 

Not moving at the speed of today’s AI makes you look broken, not innovative.

The companies actually winning in 2025 aren't announcing AI integration in press releases. They're delivering impossible results and letting customers figure out the magic behind it.

Try This

Map every customer interaction from discovery to support this week. Identify touchpoints that feel manual compared to AI-native experiences customers get elsewhere.

 Pick three friction points customers actually complain about in reviews or support tickets. Research how other industries solved similar problems using AI. 

Implement solutions within two weeks without announcing you're using AI. Just deliver dramatically better speed and accuracy. Let customers notice the improvement and wonder how you suddenly got so good at everything.

RAG pipelines connect your databases to AI models.

Two years ago? Literally gamechanger that could make your biz go kaboom. (In a good way.) 

Now? 

Everyone can do that with a couple clicks now in any LLM interface.

The real competitive advantage in 2025? Capturing decision-making logic from your best people before they retire or get poached.

Your structured data lives safely in CRMs and ERPs and will likely be one-click accessible by most LLMs soon, if not already. 

Your expertise lives in people's heads and walks out the door every Friday at 4:55 PM.

When Sarah retires next year, decades of her domain expertise disappear forever. How she spots vendor red flags that others miss. Why her client retention rate crushes everyone else's. Which shortcuts actually work under pressure and how she makes better decisions than her cowrokers when they’re all working with the same data. 

The companies building actual moats are collecting first-party reasoning. Not just what decisions get made, but WHY certain factors matter and HOW the logic works in real situations.

That’s prepping for agentic AI. 

Most organizations are so focused on connecting spreadsheets to AI that they're ignoring the walking encyclopedias in their own building.

Try this

Identify three people who make your most complex decisions daily. 

Schedule thirty-minute recording sessions this week using screen share software. Have them walk through recent choices explaining their reasoning process, not just outcomes. 

What factors do they consider first? What patterns do they recognize that others miss? What shortcuts have they learned through years of experience? 

Create simple templates documenting decision criteria, red flags, and edge case handling. Start building your reasoning database before someone gives their two weeks notice and takes decades of institutional knowledge straight to your competitor.

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