Before AI there was a paperclip. You'd type two words in Word and there he was. "It looks like you're writing a letter!"
It never was a letter, Clippy. Not once.
Looking back, Clippy's problem wasn't the idea. It was that he worked with nothing. He could see the words you typed and that was it. No history, no context, no idea what you actually needed.
That's the real difference with today's AI. Not that it's smarter. It finally has context...your documents, your systems, what you asked last week.
Intelligence without context is just interruption.
Anyone remember Pimp My Ride? Barely-running car goes in, comes out with a PlayStation in the trunk, a fish tank in the backseat, one time an actual fireplace.
Twenty years later I watch companies do this with AI and I get it. The fish tank was cool. But the fish tank doesn't fix the real issues.
The engine is what matters, and in AI the engine is orchestration. You have to ask yourself...does your data reach the right places? Do your systems talk to each other? Do tasks actually finish, and correctly?
A running engine will take you places. Not the fish tank.
Everyone is arguing about which model is smartest.Nobody is asking the only question that matters in a company:Which system is allowed to be right?AI can write the email.
It still cannot tell whether Salesforce, SAP, or that spreadsheet from 2019 has the real customer.Until that is fixed, you do not have an AI strategy.
You have a very expensive autocomplete sitting on top of a mess.The companies that win the next two years will not sound the most futuristic.
They will just stop letting four systems tell four different stories.
AI can prove theorems and fly jets.
Your customer still exists in four systems and none of them agree.The next winners won’t have the smartest model.
They’ll have the least broken workflow.
My first work laptop in 2007 took 4 minutes to boot. we planned our coffee around it.
today people complain when an AI takes 8 seconds to answer.
Progress is real. Patience didn't survive it.
AI quietly leveled up this week. OpenAI's Astra found answers to problems that stumped experts for decades. Didn't look them up. Found them.
Meanwhile most companies are still deciding if they trust AI with a spreadsheet.
The tech is racing. The trust is walking. That gap is where the next few years happen.
AI can now write code, fly a fighter jet, and prove maths theorems. It still can't tell which of your company's four systems has the customer's correct address. Hardest problem in enterprise software, twenty years running.
GPT-6 Astra built a 3D website that separates the male anatomy into 2,234 individually modeled pieces, turning interactive education into something that would have taken a team months to build manually.
At Eerly we use Claude Code in our day to day and it's been a game changer for us.
The engineer who built Claude Code just released a video on how to write prompts that actually work.
30 minutes long but very interesting if you have the time.
McKinsey's new AI survey in two lines. 80% of people say AI made them more productive. Companies seeing actual profit impact? Same as last year.
I speak with customers every week. Everyone feels the difference. The gains are real: people finish faster, answer faster, waste less time on boring work.
But the fix isn't more AI. It's changing how the work flows, so the saved time turns into something you can measure.
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