Real news, real insights – for small businesses who want to understand what’s happening and why it matters.

By Vicky Sidler | Published 25 November 2025 at 12:00 GMT+2
The robots aren’t coming for your job. Not yet, anyway. Unless your job involves ordering 18,000 waters at a Taco Bell drive-thru, in which case... maybe.
If you've heard the headlines about AI replacing everyone from baristas to bankers, take a breath. Reality is less Terminator, more team project with an unreliable intern who insists they’re “done” but forgets to save the file.
According to Freethink, the idea that AI will wipe out human jobs across the board just doesn’t hold up when you look closely. And for small business owners, that’s good news. The future of work isn’t about disappearing careers. It’s about jobs getting weirder, more creative, and a lot harder to explain at dinner parties.
95% of AI integration projects flop in real-world use
AI needs constant human input, direction, and correction
Verification is a hidden job that only humans can do well
The true cost of advanced AI agents is massive — often more than a full-time employee
Work isn’t vanishing — it’s shifting toward hybrid roles that mix humans and machines
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AI Won’t Take All the Jobs—Here’s What Will
Automation Is a Headache, Not a Hack:
The Three Bottlenecks Every AI Hits:
Work Isn’t Ending—It’s Morphing:
The Jobs Aren’t Disappearing. The Excuses Are.
1. AI Actually Sucks At Your Job—Just Ask LinkedIn
2. Why 95% of AI Pilots Fail and What to Do Instead
3. AI Isn’t Getting As Cheap As Everyone Said—Here’s Why
4. AI in Marketing Needs Human Thinking
5. AI Tools Aren’t Replacing Designers—Here’s Why Not
FAQs on AI, Jobs, and the Future of Work
1. Is AI really going to replace all our jobs?
2. Why do so many AI rollouts fail?
3. Can small businesses afford to use AI?
4. What’s the “verification tax” and why does it matter?
5. If AI isn’t replacing jobs, how is it changing them?
6. Are there new jobs being created because of AI?
It’s tempting to think AI can swoop in and handle the boring stuff. But most jobs that look simple—answering emails, placing LinkedIn ads, flipping burgers—are full of micro-decisions that humans make without blinking. AI doesn’t blink either, but it also doesn’t notice when your client already ordered a Mountain Dew.
These aren’t just tech glitches. They’re signs that integrating AI into workflows is hard. It doesn’t eliminate tasks. It just creates new ones with more steps, more review, and more... babysitting.
Describing the task clearly: If you don’t know exactly what you want, the machine won’t either.
Iterating on the result: AI is a slot machine. Sometimes it hits. Sometimes it just eats your tokens.
Verifying the output: That’s the kicker. Someone still has to check the work. And who’s qualified? The very people AI was supposed to replace.
That’s the irony. You need the expert to verify the AI’s output. Which means the expert still has a job. Maybe more work than before.
Forget the $20-a-month subscription hype. Running advanced AI 24/7—with memory, tools, and reasoning—is wildly expensive. Real-world AI usage can cost thousands per digital worker each month. And that’s not counting the humans needed to manage it all.
So before you imagine a business run by bots, factor in the bill. AI doesn’t run on coffee. It runs on high-end chips, cooling systems, and electricity measured in gigawatts.
People have been warning about machines taking jobs since the sewing machine was invented. But each time, new types of work pop up. Bank tellers weren’t replaced by ATMs—their job evolved into something closer to sales and service.
Same thing is happening now. You’ll see roles like AI verification specialists, workflow designers, compliance monitors, and hybrid project leads. You’ll also see a lot of jobs that can’t be replaced—because we still want the human touch.
I don’t want a robot pouring my wine or recommending a therapist. And I’m not alone.
We’re not losing jobs. We’re losing the old way of doing them.
The smart small businesses won’t resist AI. They’ll learn how to use it without losing themselves in the process. That means knowing when to delegate to a machine, when to step in, and when to say “this needs a human.”
It also means getting clearer about the work you do and how to talk about it. Because in a world of shapeshifting jobs, clarity is your best currency.
Get my 5-Minute Marketing Fix to write a one-liner that still makes sense when your job changes names for the fifth time this year.
If you’re still wondering whether AI is ready to replace skilled humans, LinkedIn’s AI writing tool flop says it all.
Before automating anything, learn why most AI rollouts fail—and how to set yours up for success.
If you’re budgeting based on teaser rates, this post breaks down the real cost of using AI in your business.
Marketing with AI sounds great—until it misses the nuance your audience needs. This post shows how to stay human and relevant.
Design is still about taste and context. This article explains why AI can’t yet touch your creative edge.
No. Most AI projects fail when used in the real world. Tasks still require human judgment, oversight, and verification. AI changes jobs more often than it replaces them.
Because real life is messy. AI breaks when it runs into edge cases or unclear instructions. Plus, it needs constant prompting, correcting, and verifying—by humans.
Not at scale. The advertised $20 plans are loss leaders. Real usage with tools, memory, and 24/7 output can cost thousands per month, per digital worker.
It’s the extra time and cost of double-checking everything AI does. Whether it's legal writing, sales emails, or design work, someone has to confirm it’s accurate and appropriate.
It’s shifting roles. Tasks become more about directing, correcting, and integrating AI into workflows. Think less “laborer,” more “conductor.”
Yes. Roles like AI operations, prompt designers, compliance reviewers, and verification specialists are emerging—many of which require existing expertise, not replacement.
Work is becoming more project-based. You assemble a mix of humans and AI agents to get a specific outcome, then move on to the next challenge. It’s flexible and evolving.
Get clear on what makes your work valuable. Learn how to guide and verify AI output. And most importantly, communicate your message clearly and confidently.
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Created with clarity (and coffee)