Self-driving taxis, artificial intelligence (AI) at the counter, and lawyers at the prison? Automation is not coming – it's already here.

In that In this in-depth article, we explore, which jobs will be at the tech giants Samsung, Apple and Microsoft by 2027 it will almost certainly be a thing of history as it will be replaced by AI. Translated: It's time to upgrade your resumes with skills that a robot hasn't mastered yet. Yet.

Leading companies such as Samsung, Apple and Microsoft, have been synonymous with technological innovation for decades and are usually several years ahead of others in implementing the latest solutions. This means that the composition of their workforce is also changing faster. With the extremely rapid (exponential) progress of technologies – especially artificial intelligence (AI), automation and robotics – some traditional jobs are disappearing at an accelerated pace. The World Economic Forum has estimated that as many as 85 million jobs will be eliminated globally by 2025 due to automation., with occupations such as data entry, accounting and administrative support among the most at risk (Source: weforum.org). At the same time, new needs for different skills are emerging, but the greatest Technology companies are already moving their employees into new roles and they abandon those jobs that can be done more efficiently by machines.

Welcome to the future where you are fired by an AI algorithm

If you imagined the future as an elegant symphony of technology and human progress, imagine something a little more… industrial. Something along the lines of “thank you for your service, but now you’re being replaced by a three-star app in App Store".

Samsung, Apple and Microsoft, giants that have defined technological standards for decades, are now also pioneers in something a little less romantic: automated job removal. Their goal is not evil — it is simply the logic of the market: faster, cheaper, more accurate.

But before we start bashing technology, let's look at the broader context. Automation is not new. Since Henry Ford's first assembly line, the world has been advancing with every innovation that saves time and money. The difference is that today we're not just automating physical labor — we're automating thinking.

And believe me when I tell you: AI is hungry.

The Great Purge: Services to be hit first

Automation doesn't discriminate. If your job involves repetition, standardized procedures, or basic data analysis, you're in the danger zone. Here's a closer look at the jobs that will fly out the window first at Samsung, Apple, and Microsoft. So says AI Trend Forecaster.

1. Proofreaders and Translators: When Google Translate Becomes Your Boss

Current status:
A translator who translates a legal document from German to Japanese sometimes needs hours. DeepL does it in a minute. And it does it quite well. The AI is learning every day, which means that by 2027, standard translation in companies will be automated.

What does this mean to you?
If you're a proofreader or translator, get ready to transition into the role of "UI Translation Quality Controller" — or to have more free time.

Example from industry:
Apple is already experimenting with automatic translations for its user guides, while Microsoft is building multimodal UI models that can translate a document, interpret context, and adjust tone — all without the help of a human translator.

2. Legal Assistants and Administrative Officers: “The Role is in Restructuring”

Current status:
Paralegals draft documents, research legislation, and compile briefs for attorneys. Sounds important, right? Well, AI systems like Harvey AI and Casetext are already automatically generating legal drafts and recommendations.

What does this mean to you?
If your job involves searching for legal precedents or writing drafts, you'll likely be overseeing the operation of an AI system by 2027. If you're lucky.

Example from industry:
Microsoft is already piloting its AI tool for internal legal documents, reducing the need for entry-level legal assistants by 40 %. Consider this a gentle reminder that the “old rules” no longer apply.

3. Officials with technical functions: “Printers now repair themselves”

Current status:
Being the “guy who fixes the Wi-Fi” was a pretty reliable job just a few years ago. But now we have automatic diagnostics, smart systems, and automatic upgrades that increasingly fix errors without human intervention.

What does this mean to you?
If you maintain a self-upgrading infrastructure, you absolutely need to switch to a higher technical level: developing AI control systems, cybersecurity, or data science.

Example from industry:
Samsung began mass-deploying self-diagnostic servers in 2024, which automatically fix up to 80 % errors. By 2027? If you're still around, you'll probably be controlling AI that controls other AIs.

4. Taxi and delivery drivers: Your next co-worker? The driverless Model Y

Current status:
Although self-driving cars still sometimes crash into curbs and accidentally run through traffic signs, progress is happening faster than you might think. Tesla, Waymo, and Uber are investing billions in developing fleets of vehicles that will deliver people without anyone even holding the wheel.

What does this mean to you?
If you're a taxi driver, delivery person, or truck driver, get ready: by 2027, self-driving fleets will be a reality, not science fiction, in major cities.

Example from industry:
Tesla announces the full commercialization of its “robotaxi” network before 2027. Samsung and Apple are investing in related technologies, and Apple is even said to be developing its own autonomous vehicle (“Project Titan”, shrouded in mystery but by no means forgotten).

5. Personal Doctors: Your doctor will still be human… but with AI as his right hand

Current status:
Traditionally, you went to a doctor, told them your problem, and they chose the best diagnosis based on experience and memory. Sometimes brilliant. Sometimes… well, less brilliant.

What does this mean for you (and your doctor)?
By 2027, almost every GP in the developed world will be required to use AI assistants for diagnosis and treatment. Not because doctors are getting lazy — but because AI will become a tool for reduction of human errors.

Example from industry:
Samsung is developing medical AI modules for imaging diagnostics (MRI, CT), Microsoft Health will offer AI tools to support clinical decisions by 2026, and Apple is expanding HealthKit towards algorithmic analysis of patient data.

What this will look like in practice:

Before the doctor even examines you, his AI assistant will have already analyzed your past medical records, lab results, and lifestyle habits.
The doctor will then use the AI's recommendations to confirm (or reject) the most likely diagnoses.
Care will be faster, more accurate and, hopefully, less stressful.

Key difference:
Personal doctors will not be replaced, but upgraded.
So your new doctor will be “doctor + AI algorithmic advisor” — and honestly, that’s probably good news for all of us.

Mini summary of the expanded image:

Profession	Forecast until 2027	footnote
Translators, proofreaders	UI translations, proofreading only for niche needs	Routine tasks automated
Legal assistants	Automation of basic legal documents	Higher control over AI tools
Officials with technical functions	Self-diagnostic systems	Focus on managing AI systems
Taxi drivers, delivery drivers	Self-driving vehicles	Transition to vehicle control and logistics
Personal doctors	AI support for diagnostics	More accurate decisions, fewer mistakes

Innovation is their religion

Samsung is developing AI systems for factory production that correct errors in real time. Apple is automating customer support and internal management. Microsoft is using AI to optimize legal, administrative, and marketing functions.

Summary:
Where others are still debating the ethics of automation, these companies are already investing, testing, and implementing.

Upheaval: X has a new owner – Elon Musk surprised (again) – X (Twitter) is now officially owned by someone else

Cost-effectiveness

For companies that turn over hundreds of billions of dollars annually, it's not hard to understand the math: the cost of developing an AI system one time = less than two years of human labor costs.

And since we are in capitalism, the decision is clear.

Cultural readiness

Samsung, Apple, and Microsoft have global workforces that are already accustomed to constant change and “pivoting.” So there are few barriers to radical restructuring—especially when it’s wrapped in a sweet marketing phrase like “operational process optimization.”

How to prepare for an automated future

If you're feeling a little nervous right now — good! That means you're still alive and capable of taking action. Here are some concrete tips on how to avoid becoming collateral damage to automation:

1. Learn what AI doesn't know yet

AI may be great at data analysis, but it's still pretty lame at creative thinking, complex emotional interactions, and strategic decision-making. Developing soft skills like innovation, empathy, and project management will keep you one step ahead of the robots for now.

2. Conquer the AI before it conquers you

Instead of seeing AI as the enemy, master it. Become an “AI systems manager,” an “UI ethics advisor,” an “algorithm coach” — the jobs of the future will need people who can lead and control technology.

3. Refocus on the professions of the future

Areas like renewable energy, digital health, human-machine interfaces, and AI ethics are set to explode in the coming decade. The best time to refocus was yesterday. The second best time? Today.

The Psychological Impact of Job Loss: What Happens When a Line of Code Replaces You

It's not just a financial loss. When you lose your job to a machine, you experience what psychologists call... existential loss of statusYour value seems lower, not only in society's eyes, but also in your own.

Automation will therefore not only be an economic but also a psychological tsunami, requiring more investment in psychological resilience and retraining.

The bright side?
The human ability to adapt has always been stronger than any algorithm.

Apple, Microsoft and Samsung

For companies like Apple, Microsoft, and Samsung, process optimization will first occur in areas where the adoption of artificial intelligence (AI), automation, and robotics is fastest and brings immediate savings. Apple is expected to optimize its supply chain, manufacturing, and customer support areas first. Its global network of suppliers is already highly automated, but Apple wants to further reduce costs and increase efficiency by using advanced inventory management algorithms, smart factories, and predictive analytics (source: supplychaindigital.com). In its customer service departments, Apple is introducing generative AI chatbots that are estimated to handle most basic user requests without human intervention by 2027. Microsoft is focusing on internal administrative processes such as employee management, legal support, accounting, and data analysis. The company is already implementing digital transformation projects where AI systems automatically analyze legal documents, optimize contract management, and perform basic accounting tasks (source: microsoft.com). Microsoft is also reducing the need for traditional administrative jobs with platforms such as Microsoft 365 Copilot, as employees can independently create reports, analyses and presentations with the help of AI. Samsung, on the other hand, is investing most of its efforts in automating production processes, logistics operations and product testing. In its factories, especially in the production of semiconductors and displays, it is introducing autonomous robots and smart production lines that operate almost without human supervision (source: samsung.com). In addition, Samsung is developing advanced algorithms for product quality testing, which will significantly reduce inspection time and reduce the cost of errors. The common point of all three companies is the rapid implementation of AI tools in areas where tasks are routine, repetitive and easily standardized – which means that the first jobs will gradually disappear in these areas.

Which jobs are safe (for now)?

To avoid ending on a completely apocalyptic note, here are some professions that machines won't take over for a while:

Creative professions (writers, directors, artists, experience designers) Although reality shows that these professions are already being performed independently and better than most by AI.
Custodial services (healthcare, social work, psychotherapy) Although we know that personal doctors today are less accurate in diagnosis than AI when operating independently.
AI experts (ironically, AI needs humans to develop properly)
Change leaders (project managers, strategic consultants)