The news has landed like a bucket of cold water in Silicon Valley and beyond: General Motors, one of the world’s largest industrial companies, has just laid off hundreds of workers in its IT department. The reason? To replace them with profiles stronger in artificial intelligence.
It’s not Google. It’s not Meta. It’s GM — a century-old company and a symbol of traditional American industry. And if they’re making a move this quickly, it’s worth stopping for a moment to understand what’s really happening.
Because this isn’t about layoffs. It’s about a deep shift in how companies understand work, technology, and above all, where they put their money.
What exactly happened
GM has carried out a restructuring in its technology division. The company has laid off hundreds of IT employees with the stated goal of replacing them with talent that has greater AI specialization. This is not a pure headcount cut — it’s a strategic replacement of profiles.
In other words: the budget is still there. The roles are still there. What changes is the kind of work that’s expected and the tools used to do it.
This matters because it marks a trend we’ve been quietly seeing for months in many companies, but which is now starting to become visible:
Repetitive IT work — level 1 support, system maintenance, ticket handling, manual integrations — no longer justifies the cost of a full-time employee when automation can do it 24/7 without errors.
Why this matters, even if you’re not GM
Here’s the detail many people miss: what GM is doing today, mid-sized companies will do in 12–18 months, and SMEs in 24.
Not because of a tech conspiracy. But because of simple math.
When a large company automates internal processes:
- Its operating costs go down.
- Its margins improve.
- It can offer lower prices or reinvest in growth.
- Competitors have to match it — or lose market share.
That ripple effect always arrives. The question is not whether it will affect your business, but when and how prepared you’ll be when it does.
The most common misunderstanding about this news
The simplistic reading is: "AI is taking jobs." But that interpretation falls far short and, frankly, can lead you to make bad decisions.
What’s really happening is this:
| What is being eliminated | What is being requested |
|---|---|
| Repetitive and predictable tasks | Designing intelligent systems |
| Manual integration work | Automation strategy |
| Reactive incident management | Supervision and continuous improvement of bots |
| Copy-paste processes between apps | Judgment to decide what should be automated |
AI doesn’t eliminate people. It eliminates tasks. And the people who understand this early become more valuable, not less.
What you should be doing right now
If you own a business, run operations, or founded an SME, this news should trigger three specific questions. Not tomorrow. Today.
1. What percentage of your team’s work is actually repetitive?
Most business owners underestimate this. When we do time audits at Studio SmartWork, the numbers are usually surprising: between 30% and 60% of the team’s time goes to tasks that a well-designed bot could handle without blinking.
Some typical examples we see every week:
- Answering the same 20 questions by email day after day.
- Moving data between the CRM, the spreadsheet, and the invoicing tool.
- Qualifying leads manually by reading LinkedIn profiles.
- Coordinating meetings with clients over the phone.
- Creating sales proposals from scratch every time.
If any of this sounds familiar, the cost is not just the employee’s time. It’s the opportunity cost: every hour spent on this is an hour not spent growing, selling, or innovating.
2. Are you investing in tools or in results?
One of the most common traps we see: companies paying for 15 different SaaS tools, none connected to each other, hoping the problem will solve itself.
It won’t.
Tools are pieces. Automation is how those pieces fit together so the work gets done without human intervention. And that difference is exactly what separates companies that are riding this wave from those that are falling behind.
GM isn’t buying more software. It’s hiring people who know how to design systems that work on their own. That’s the difference.
3. Is your team ready to work with AI, not against it?
Resistance to change within teams is real, and it’s understandable. When someone has spent years doing a job a certain way, hearing "we’re going to automate part of this" can sound like a threat.
But the teams navigating this transition best are the ones who understand that AI isn’t competing with them — it’s freeing them. The sales assistant who no longer has to chase unqualified leads can spend that time closing the good ones. The operations manager who is no longer putting out fires in the inbox can focus on improving the business.
The mistake you should NOT make
Read this news and think "I need to implement AI now, everywhere, at scale."
No.
The real lesson from GM is not "automate everything overnight." It’s "identify the processes where automation has the biggest impact and start there." Companies that try to transform themselves in a weekend usually end up with fragile systems, confused teams, and a hole in the budget.
The sensible way to begin:
- Map your processes. Write down what each person on your team does during a typical week.
- Mark the repetitive work. Any task done more than 3 times a week in the same way is a candidate for automation.
- Calculate the savings. Multiply the hours by the hourly cost. The number is usually revealing.
- Prioritize by ROI. Start with what hurts most and costs least to automate.
- Build, measure, iterate. One process at a time. Done well.
What this means in the medium term
GM will not be the last major company to make this move. Over the next 12 months, we’re going to see similar headlines from banks, insurers, retailers, and manufacturers. It’s inevitable.
But the real change won’t be in the headlines. It will be in the thousands of SMEs that quietly start automating their internal operations. Those that do it well will have a brutal advantage: more capacity with lower fixed costs, response times their competitors can’t match, and teams focused on what really moves the needle.
Those that don’t... well, you know the pattern. It’s the same one that happened with the internet in the 2000s and mobile in the 2010s.
How we see it at Studio SmartWork
We’ve been building AI automations for SMEs and mid-sized companies since 2021 — before ChatGPT put artificial intelligence on everyone’s lips. And there’s a pattern that repeats:
The clients who get the best results are not the ones with the biggest budgets. They’re the ones who have clarity about which process they want to fix first.
One concrete example: one of our professional services clients used to take between 1 and 2 days to prepare each sales proposal. After automating the process, it dropped to 10 minutes per proposal. They tripled their capacity without hiring anyone. That’s what GM is looking for at an industrial scale — and what any well-run business can achieve at its own scale.
It’s not about having AI just to have AI. It’s about giving your team back time so they can do the work that truly matters.
The takeaway
- GM is not laying people off because of a crisis. It’s reorganizing for a new era of operational efficiency.
- The trend will reach your sector. The only variable is when.
- AI doesn’t replace people — it replaces repetitive tasks. People move up the value chain.
- Starting early and starting small is infinitely better than waiting and starting big.
- The real cost of not automating is not money. It’s your team’s time and the market share you lose while your competitors are doing it.
The question is no longer whether AI-powered automation will change your business. It’s who will get there first: you, or your competition.