How AI is really changing the way we work

Will AI take your job, or will it become the most powerful tool you’ve ever worked with? AI can already read medical scans, write code, design ads, translate languages, and even show up to meetings as your digital “twin.” But despite all the hype, the world hasn’t seen a total jobs apocalypse. Instead, AI is quietly changing how we work, what employers expect, and which skills really matter.

From fear of job cuts to new opportunities

Every major technology shift—steam engines, assembly lines, computers—has triggered anxiety about jobs. AI is no different. A few years ago, many leaders were convinced it would wipe out huge numbers of roles, especially at entry level.

In early 2025, almost half of CEOs surveyed by consulting firm Ernst & Young expected AI to lead to major job cuts. By mid-2026, that number had dropped to around one in five. As companies experiment with AI, many are starting to see it less as a job destroyer and more as a way to boost productivity and create new kinds of work.

Meet your AI “twin”: a digital version of you at work

One of the most striking examples of this shift is the idea of a digital twin: an AI assistant built around a specific person’s knowledge, style, and experience.

Technology consultant Richard Skellett has created “Digital Richard,” an AI version of himself. Over several years he has fed it a huge amount of personal and professional data: emails, bank information, photos, meeting recordings, and more. Tools like Claude and ChatGPT help turn this raw data into a usable digital assistant that can be queried like a supercharged, personalized knowledge base.

How a digital twin actually works

Digital Richard joins every meeting—at least virtually. Meetings are recorded and turned into new training data. Over time, the twin gets better at understanding his work, clients, and decisions. Colleagues and customers can chat with Digital Richard when they need quick answers or context. A secure “master copy” sits offline, and access is controlled.

Importantly, the twin doesn’t make independent decisions. The human stays in charge. Richard sets the rules, decides what the AI is allowed to do, what data it can learn from, and which decisions need his personal approval. The AI can challenge his thinking and offer suggestions, but it doesn’t replace him.

What digital twins change inside a company

In Richard’s company, every employee is offered their own digital twin. According to him, this has led to a major productivity boost. The twins work around the clock, don’t get sick, and handle repetitive or information-heavy tasks. Human employees can then focus on strategy, relationships, creativity, and judgment—things that still benefit most from a human touch.

High-profile leaders like Mark Zuckerberg are also experimenting with digital twins, and many executives are quietly doing the same. As AI agents become more capable, you can expect this kind of personal AI assistant to become increasingly common. If you’re curious about how these kinds of AI agents operate behind the scenes, it’s worth understanding what AI agent skills are and how they actually work.

Who owns your digital twin?

As soon as you create a digital version of yourself, big questions appear. Who owns it—you or your employer? What happens if you leave the company? Can your old employer keep using your AI twin even if you go work for a competitor?

Richard argues that each employee should own their own twin. If a company wants to keep using it after someone leaves, they should pay a fee. That way, the AI isn’t just a corporate asset; it’s an extension of the person who helped create it.

He also draws personal boundaries. He doesn’t want his digital twin to replace him as a father. His 11-year-old son is allowed to use Digital Richard for help with math homework, but not as a substitute for real emotional connection. As his son puts it, the digital twin is helpful over time—but it’s not his dad.

AI and the disappearing entry-level job

While AI can feel like a personal upgrade for experienced workers, it’s a different story for many young professionals trying to get started. Entry-level roles are often built around routine tasks—exactly the kind of work AI is now good at.

Take Sai Pranavi, a computer science graduate in Germany. Despite having a master’s degree and years of experience, she struggled to find a job for months, sending out more than 300 applications with very few responses. At the same time, many companies were cutting staff and automating parts of their workflows with AI.

In software development, for example, generative AI can now handle many routine programming tasks. A junior developer who only knows traditional coding, and hasn’t learned to work with AI tools, may find it harder to stand out.

The new baseline: AI literacy

For many roles, AI is becoming a basic part of the toolkit—like spreadsheets or email once were. Young professionals will increasingly be expected to:

• Understand what tools like ChatGPT, Claude, and AI coding assistants can and can’t do.
• Use AI to draft, debug, or refactor code instead of doing everything manually.
• Automate repetitive parts of their job and focus on higher-level problem-solving.

Universities are lagging behind. In many degree programs, digital processes, automation, and AI still play only a small role. That’s a missed opportunity. AI can explain concepts repeatedly, adapt to a student’s level, and provide personalized practice—if it’s integrated thoughtfully into teaching.

Despite the challenges, Sai’s story shows that persistence and upskilling pay off. By staying open to new tools and learning how to work with AI, she eventually landed a role in her field.

AI is rewriting the hiring process

Even before you get a job, AI is already involved. Many companies now use AI to read CVs, shortlist candidates, and even conduct first-round interviews.

In some systems, your “first interview” is with an AI agent using a human-like avatar. It asks you questions, analyzes your answers, and scores you against other applicants. You might complete multiple-choice questions, record spoken responses, and verify your identity with a facial scan matched to your ID.

How AI sees your CV

AI tools scan applications for structure, clarity, and keywords. A messy or confusing CV is more likely to be filtered out before a human ever sees it. That makes a clean layout and clear descriptions more important than ever.

At the same time, AI doesn’t truly “understand” you. It looks for patterns in data, not personality, potential, or unusual career paths. That’s why many recruitment firms use AI only to speed up admin work, then hand things back to human recruiters for the final decision.

Interestingly, some employers are now asking recruiters to “put more human back into the process.” They want the efficiency of AI, but they also know that culture fit, communication style, and motivation are hard to measure with algorithms alone.

Job seekers are using AI too

Candidates are also leaning on AI to compete. Many now use tools like ChatGPT or Claude to:

• Tailor CVs to specific job ads
• Draft or refine cover letters
• Prepare for common interview questions

Employers, in turn, use AI to write job descriptions, generate job ads, and schedule interviews. This creates a kind of AI-on-AI arms race in hiring. To stand out, you still need authentic, specific examples of your work and a clear story about what you bring to the table.

Creative jobs under pressure

Creative work once felt “safe” from automation. Today, that’s no longer guaranteed. AI can now generate images, videos, scripts, music, and voices at a quality that’s good enough for many commercial uses.

In China, there’s already a full-blown AI film industry with its own festivals. AI-generated characters call themselves actors and perform in fully AI-created productions. Studios in other countries are following suit, experimenting with AI for storyboards, visual effects, and even performances.

Voice actors and stylists feeling the impact

Voice actors like Christoph Walter are already losing work in advertising and video games as AI voice cloning tools become more capable. While high-end feature films still tend to use human voices, many smaller projects are switching to AI for cost and speed.

To create a convincing synthetic voice, AI needs detailed recordings of a real person—how they stress words, pause, breathe, and use accents. Once that data is captured, it can be reused and remixed in ways that raise serious questions about consent and compensation.

In fashion and photography, stylists are also being hit. One Berlin-based stylist reports losing around 70% of her work after clients began using AI tools to fix or enhance photos. Tasks that once required a professional eye—like adjusting colors, smoothing fabrics, or correcting lighting—can now be automated.

Some creative professionals are trying to adapt by moving into new roles, such as marketing, creative direction, or overseeing AI-assisted workflows. Others worry that replacing skilled, passionate people with low-cost AI output results in work that looks passable but lacks depth and nuance.

AI tools as creative partners, not just replacements

Despite the risks, AI can also open up new creative possibilities. For example, home producers and indie artists are using AI to compose, arrange, and mix music in ways that were once only possible in professional studios. If you’re curious about this side of things, you might explore how AI is changing music production in your home studio in more depth through resources like this guide to AI in home music production.

In many fields, the most promising path isn’t humans versus AI, but humans plus AI. Professionals who learn to direct, critique, and refine AI output can often work faster and explore more ideas than before.

The skills that matter in an AI-shaped workplace

As AI takes over more routine tasks, the value of certain human skills is rising. To stay relevant and resilient, it helps to focus on three broad areas.

1. AI fluency

You don’t need to be a machine learning engineer, but you do need to understand what modern AI tools can do in your field—and what they can’t. That includes:

• Knowing which tools are available and how to use them
• Understanding their limitations, biases, and failure modes
• Being able to design good prompts and workflows around them

2. Human judgment and problem-solving

AI is good at generating options, not deciding what’s right in a specific context. Skills like critical thinking, ethical judgment, and systems thinking become more important as AI output becomes easier to produce.

3. Creativity and connection

Original ideas, storytelling, leadership, negotiation, and empathy are still hard to automate. Building strong relationships, understanding people, and creating meaning are areas where humans have a lasting advantage.

How to prepare yourself for the future of work

AI will keep changing how we work, but you’re not powerless. There are practical steps you can take now:

• Learn to use at least one major AI assistant (like ChatGPT or Claude) in your daily tasks.
• Look for parts of your job or studies that are repetitive and experiment with automating them.
• Keep your CV clear, structured, and keyword-friendly so it’s readable by both AI systems and humans.
• Build a portfolio that shows concrete projects and outcomes, not just job titles.
• Stay curious: follow AI developments in your industry and be ready to adapt.

Ultimately, it’s not humans or AI—it’s humans working with AI. Those who learn to treat AI as a powerful partner, while doubling down on human strengths like judgment, creativity, and connection, will be best positioned for whatever the future of work looks like.

Don’t ignore AI. Learn to use it, shape it, and set your own guardrails. The jobs of tomorrow may look very different from today’s, but there will still be plenty of work for people who know how to team up with intelligent tools.