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How to Become AI-First Before Your Job Disappears: 7 Steps Anyone Can Follow

person standing in a modern apartment at night, illuminated by cosmic light outside the window, symbolizing the dawn of the AI revolution

As AI reshapes industries, the key to survival isn’t resistance – it’s reinvention. Learn how to upskill, leverage AI tools, and turn automation into your competitive advantage.


In the first article, we established an uncomfortable reality: AI is replacing knowledge workers right now, not in some distant future. CEOs from Fiverr to IBM are publicly stating they’re automating jobs. Research shows 80% of workers will see at least 10% of their tasks affected by AI. The displacement is already here.

But of course it’s not that bad, and you’re not powerless.

While AI threatens to replace workers who ignore it, it offers an unprecedented superpower to those who embrace it. The same technology that could eliminate your job can also make you 10x more productive, open entirely new career paths, and even let you build a one-person business that would have required a full team just a few years ago.

The critical window is right now. We’re at a unique moment where AI is powerful and accessible, but mass adoption hasn’t happened yet. Most people are still in denial or waiting for someone to teach them. Companies are warning employees but haven’t started mass layoffs because they’re still figuring out implementation.

This window won’t last forever.

The question isn’t whether you should adapt – the research makes clear that adaptation is essential. The question is how. What specific steps do you take, starting from zero AI experience, to position yourself as someone who leverages AI rather than competes against it?

That’s what this article delivers: a practical, actionable framework anyone can follow, regardless of technical background.

The Two Strategies That Actually Protect You

Before we dive into the step-by-step framework, you need to understand the two fundamental approaches to surviving the AI revolution. You can pursue one or both simultaneously, but you need at least one.

Strategy 1: Become an AI Adapter

This is about transforming yourself into an “AI First” professional – someone who actively uses AI tools to amplify their capabilities and output.

Remember Fiverr CEO Micha Kaufman’s statement: he won’t hire anyone who isn’t already using AI. Shopify requires teams to prove AI can’t do a job before approving new hires. IBM is reskilling employees to work alongside AI rather than simply laying them off.

black and white portrait of AI pioneer Andrew Ng discussing the rise of machine learning in modern work

Companies increasingly value workers who know how to leverage AI. As Andrew Ng put it,

“People that use AI will replace people that don’t.”

But you don’t need to become a programmer or AI engineer. Just try to identify how AI can make you better at your existing job. How it can handle the tedious, time-consuming tasks that drain your energy so you can focus on higher-value work that requires human judgment, creativity, and relationship-building.

Early adopters are already seeing massive advantages. A study from MIT in February 2023 found that customer support agents using a GPT assistant increased their issue resolution speed by 14% on average – equivalent to months of traditional training gains. Junior agents, who benefited most from AI guidance, saw even larger improvements.

GitHub’s Copilot tool helps developers code 55% faster on certain tasks. Legal professionals using AI for document review and research save hours per week on routine work, allowing them to take on more cases or focus on complex strategy.

These are transformative productivity improvements that create a widening gap between AI users and non-users.

Strategy 2: Fire Yourself First

The second strategy is more radical but increasingly viable: quit your job before your employer fires you, and build a one-person business powered by AI.

I know how that sounds. Reckless. Irresponsible. Easier said than done.

black and white portrait of Sam Altman representing leadership in AI advancement

But consider this: Sam Altman, CEO of OpenAI, revealed there’s a “betting pool” among tech CEOs predicting what year we’ll see the first one-person, billion-dollar company.

“It would have been unimaginable without AI – and now it will happen.”

We already have historical precedents that show how technology enables massive value creation with minimal staff. Instagram had just 13 employees when Facebook acquired it for $1 billion – roughly $77 million value per employee. WhatsApp had 55 employees when it sold for $19 billion – about $345 million per employee.

With AI agents that can code, design, write marketing copy, handle customer service, and analyze data, the barriers to starting a business have collapsed. You don’t need to hire a team. You need to know how to orchestrate AI tools.

But Don’t Fall into a Trap

In 2024, an entrepreneur named Jackson Fall ran an experiment he called “HustleGPT.” He used ChatGPT for business strategy and copywriting, DALL-E for design and graphics, and off-the-shelf AI tools to automate a Shopify dropshipping store. Product research, supplier outreach via AI-written emails, ad generation, website building – virtually every aspect was AI-assisted or entirely AI-executed.

Fall described his role as “CEO and AI orchestrator,” focusing on guiding the AIs and making final decisions. Within a few months, the business reached over $100,000 in revenue with zero employees. Or did it?…

At least it was the appeal in media. In reality the project failed in public and the guy went silent for a couple of years. So again, it’s not so simple and don’t expect AI will do all the work for you. The prompt “make me a million dollars, don’t make mistakes” will not work.

Now, is every solo AI business going to become a unicorn? Of course not. Business fundamentals still apply – market fit, customer acquisition, execution. But the point is this: what used to require a team of specialists can now be done by one person who knows how to leverage AI effectively.

And Don’t Quit You Job

At a World Economic Forum panel in Davos in January 2025, venture investor Mitchell Green noted that after smartphones appeared, entirely new businesses like Uber and Airbnb emerged – now $100+ billion firms.

“New jobs will crop up in the longer term – we just don’t know what they are yet,”

he said.

black and white portrait of Richard Socher representing AI innovation and human learning synergy

Richard Socher, CEO of You.com and former Salesforce Chief Scientist, put it this way:

“Every employee is going to become a manager of AIs. And in that sense, everyone is going to become kind of an entrepreneur.”

I’m not advocating that everyone immediately quit their jobs. That would be irresponsible without preparation and a safety net. But I am saying this: if you have entrepreneurial ambitions, AI has lowered the barrier to entry more dramatically than any previous technology. And even if you stay employed, building AI skills and side projects creates options and security that relying solely on a traditional job no longer provides.

The 7 Steps to Become AI Native

Now let’s get practical. Here’s the step-by-step framework for becoming AI First, regardless of your current experience level. Start at Level 1 and progress through each stage.

Level 1: Get Acquainted With AI

Your first task is simple: understand what AI actually is and meet the major players.

You don’t need technical knowledge, you don’t need to understand machine learning algorithms or neural networks, instead you just need basic familiarity with the tools available.

Start with these two:

ChatGPT (by OpenAI) – The most well-known AI assistant, capable of conversation, writing, coding, analysis, and creative tasks. Available at chatgpt.com.

Claude (by Anthropic) – Another powerful AI assistant, often praised for more nuanced conversation and detailed analysis. Available at claude.ai.

Both offer free tiers that are more than sufficient for learning. Both are LLMs – Large Language Models – trained on vast amounts of text data to understand and generate human-like responses.

Your goal at this level: create an account with at least one of these tools and spend 15 minutes exploring the interface. That’s it. No pressure to accomplish anything specific. Just get comfortable with the idea of conversing with AI.

Level 2: Test the Waters

Now that you’ve met AI, it’s time to interact with it.

Try different models if you created accounts with multiple services. Ask basic questions. Get a feel for how they respond. Most importantly, ask this exact question:

“How can you help me?”

Then, to get a more personalized response, tell the AI something about yourself – your profession, your daily challenges, what you’re trying to accomplish. Don’t be afraid to share. These conversations aren’t monitored by humans, and you’re not being judged.

Treat AI as a coach, teacher, or virtual friend. The psychological barrier many people face is viewing AI as “other” – something alien or robotic. But modern AI conversation is remarkably natural. Voice chat features (available in ChatGPT and other tools) make it feel even more like talking to a person.

Some people use AI as virtual boyfriends or girlfriends – there are entire AI companion apps that have attracted millions of users. Virtual influencers powered by AI have hundreds of thousands of followers on social media. These examples show how far conversational AI has come.

Your goal at this level: have at least three separate conversations with AI on different topics per day. Ask about something you’re curious about. Request advice on a problem you’re facing. See how it responds.

Level 3: Start Simple With Daily Tasks

This is where AI starts becoming genuinely useful in your life.

Identify simple, practical applications. Here are proven starting points:

Use AI as a language tutor. If you’re learning a language, ask AI to be your teacher. Request explanations of grammar rules, vocabulary practice, conversation exercises. Many AI models support voice chat, so you can have actual spoken conversations for language practice.

According to research cited by educational publications, AI tutors can provide learning gains for structured tasks like vocabulary practice and grammar drills that rival human tutoring in specific contexts. Over 700,000 students and teachers were using Khan Academy’s “Khanmigo” AI tutor by late 2024, up from 68,000 earlier that year.

Replace Google searches with AI conversations. This is a big one. Instead of typing keywords into a search engine and sifting through results, ask AI your question in natural language.

At first, you’ll probably phrase questions like Google queries – short, keyword-focused. That’s fine. But over time, you’ll start providing context and asking follow-up questions. You’ll realize AI understands conversation in a way Google never could.

Google searches a database and returns relevant matches based on keywords. AI generates answers based on understanding your intent. The difference becomes obvious quickly.

Ask AI for advice on personal topics. Existential questions, career dilemmas, everyday problems. See how it responds. The quality of advice often surprises people.

Your goal at this level: use AI at least once per day for a full week on tasks you’d normally do another way. Build the habit of reaching for AI as a tool.

Level 4: Integrate AI Into Your Work

This is where you start seeing productivity gains that actually matter for your career and income.

Think about your typical workday. What tasks do you find tedious, time-consuming, or mentally draining? What decisions leave you stuck, unsure how to proceed?

Those are AI opportunities.

When you hit a roadblock, ask AI for help. Stuck on how to structure a document? Ask AI to outline it. Need to analyze data but aren’t sure what metrics matter? Describe your situation to AI and get guidance. Facing a technical problem outside your expertise? Request that AI become an expert in that domain and advise you.

The key is being specific. Don’t just say “I need help with marketing.” Say “I’m launching a software product for small business accounting. My target customers are solo entrepreneurs who currently use spreadsheets. I have a limited budget (be specific, give it numbers). What marketing channels should I prioritize and why?”

See the difference? Context, constraints, specifics. The more information you provide, the more useful the response.

Ask AI to break down unfamiliar tasks. If you’re assigned something you’ve never done before, ask AI to explain the process step-by-step. Request that it identify which parts it can help with directly. Then actually use it for those parts.

The goal is experimentation. Try AI on different types of work. Some applications will feel natural and save enormous time. Others might not fit your workflow. That’s fine. You’re discovering what works for you.

Your goal at this level: integrate AI into at least one substantial work task per week for a month. Track the time saved and quality of output.

Level 5: Learn New Skills With AI

This level transforms AI from assistant to personal tutor.

When you need to acquire new knowledge or skills, don’t just passively consume information – engage AI as an active learning partner.

Let’s say you need to learn SQL for database queries at work. Instead of watching tutorial videos or reading documentation alone, do this:

“I need to learn SQL for my job. I have no prior experience with databases. Act as my SQL tutor. Create a learning plan with progressive lessons. After each lesson, give me exercises to practice. Check my work and explain mistakes.”

AI will create a structured curriculum, provide practice problems, review your attempts, and explain concepts in different ways if you don’t understand. It’s like having a patient, infinitely available teacher who never gets frustrated with repeated questions.

Ask for explanations “like I’m five years old” if technical language is confusing. Request metaphors and analogies. Have AI quiz you to test retention.

This approach works for virtually any skill: public speaking, data analysis, project management, design principles, financial modeling. AI can’t physically demonstrate things, but it can guide, explain, and provide feedback on your practice.

Your goal at this level: use AI to learn one new skill relevant to your career over 30 days. Document what you learned and how AI accelerated the process.

Level 6: Summarization and Synthesis

Now you’re ready for more sophisticated uses that create serious leverage.

Document and video summarization. Found a 50-page research report you need to understand? Upload it to AI (Claude handles long documents particularly well) and ask for a summary highlighting key findings relevant to your needs.

Discovered a 6.5-hour video course from an expert like Alex Hormozi on building a personal brand? Many AI tools can process video transcripts. Feed the transcript to AI and request a structured guide extracting the frameworks and actionable advice.

This is incredibly powerful. You’re compressing hours of content into minutes of focused insight.

But go further: once you’ve extracted that knowledge, use it as context for ongoing coaching.

Upload that Alex Hormozi guide you created and say: “Using these frameworks as your knowledge base, become my personal brand coach. I’ll describe my situation, and you advise me based on this methodology.”

Now you have a personalized advisor emulating an expert’s approach, available 24/7 for $20 per month instead of thousands of dollars for actual consulting.

Feed AI entire books. Many tools accept book-length uploads. Provide context about what you’re trying to accomplish, then ask questions that help you apply the book’s principles to your specific situation.

Your goal at this level: use AI to synthesize at least three long-form resources (articles, videos, reports, books) and create a personal knowledge base or coaching system around them.

You can also synthesize the content for your brand, personal or corporate. You can create your own system, or just grab a ready-to-use one, like my own ANTIghostwriter. It’s a set of prompts with detailed instructions that converts your rough notes and thoughts into 76+ content pieces weekly, including long-form articles, threads, social posts in different formats, and video scripts. I use it personally, so you might have use for it as well. And it’s still on Black Friday sale, check it out: ANTIghostwriter.

Level 7: Build AI Agents for Automation

The final level moves beyond chat-based interaction to autonomous agents – AI that works continuously in the background without constant prompting.

An AI agent is a tool that makes decisions independently and executes cyclical tasks without your intervention.

Examples:

  • Email sorting agent: Automatically categorizes incoming emails into folders based on content and context
  • Weekly report generator: Pulls data from your task manager and creates a formatted report for your manager every Friday
  • Social media monitor: Tracks mentions of your company or keywords and flags important conversations requiring response

This level requires more technical setup – often involving tools like n8n, Zapier or Make to connect AI to your apps, or using specialized platforms designed for AI automation.

The possibilities extend to anything you can do on a computer: scheduling meetings, updating spreadsheets, generating routine content, monitoring data for anomalies, conducting research on specific topics.

At a practical level, this is how you start building that one-person business. AI agents handle operations while you focus on strategy, customer relationships, and growth.

Your goal at this level: identify one repetitive task in your workflow and research how to automate it with AI agents. Start simple – even saving 30 minutes per week compounds over time.

The Tip: Why AI Isn’t Like Google

Before we wrap up, I need to address the single biggest mistake people make when starting with AI: treating it like a search engine.

With Google, shorter is better. If you search “Italian restaurants Boston,” you get results. If you search “Please help me find Italian restaurants in Boston that serve gluten-free pasta and have outdoor seating for a date night,” you probably get worse results because you’ve made the query too specific for keyword matching.

Google has an indexed database. It finds pages that match your keywords and ranks them by relevance. The simpler your query, the more matches it finds.

AI works completely differently.

AI generates responses based on understanding your task and context. It doesn’t search a database – it creates an answer tailored to your situation. The more context you provide, the more accurate and useful the response.

How To Prompt AI

Compare these prompts:

Bad (Google-style): “marketing strategy”

Good (AI-style): “I run a B2B software company selling accounting tools to small businesses. We have 200 existing customers, mostly from referrals. We want to scale to 1,000 customers in 18 months. Our main competitor spends heavily on Google ads, but we have a limited budget of $15,000. Based on this context, what marketing channels should we prioritize and why? What metrics should we track?”

See the difference? The second prompt gives AI everything it needs to provide genuinely useful, specific advice rather than generic platitudes.

For simple, unambiguous questions – “What’s 2+2?” or “When was the Declaration of Independence signed?” – context doesn’t matter. But for real work tasks, context is everything.

Describe your system. What tools are you using? What’s the current state?

Explain your constraints. Budget limits, time restrictions, skill gaps, organizational politics.

Clarify your goal. What does success look like? What are you trying to accomplish?

AI doesn’t know these things until you communicate them. But once you do, the quality of responses can be surprisingly close to what a human expert would provide – often better than what you’d achieve after hours of independent research.

Don’t Wait for Permission

We’re at a remarkable moment in history. AI is powerful, accessible, and improving rapidly – but mass adoption hasn’t happened yet.

Companies are warning employees but haven’t started widespread layoffs because they’re still uncertain about implementation. The technology exists, but organizational inertia, regulatory questions, and cultural resistance create a lag.

This lag is your window of opportunity.

In a year or two, being “AI First” might be table stakes – the minimum requirement rather than a competitive advantage. But right now, today, simply being willing to use AI seriously puts you ahead of the vast majority of workers.

I’m not saying AI will always make perfect decisions. It won’t. Humans remain essential for judgment, creativity, ethics, and relationship-building. AI is a tool, not a replacement for human intelligence.

Don’t limit yourself

AI won’t cook you a dinner from the products in your fridge, but it can suggest you a recipe if you provide it with a photo of it, and calculate nutrients on top. It can become your personal trainer, psychologist, coach, financial adviser, skill teacher, language tutor, sparring-partner, co-founder, colleague for brainstorming ideas. Heck, it could even be your girlfriend or boyfriend – very popular application.

But refusing to use this tool – pretending it doesn’t exist or hoping it goes away – is spectacularly short-sighted.

The Industrial Revolution happened. Factory workers who adapted survived. Those who smashed machines and clung to old methods lost everything.

The AI revolution is happening right now, just faster. Knowledge workers who adapt will thrive. Those who bury their heads in the sand will find themselves unemployed and unprepared.

You have a choice. You always have a choice.

Start today. Pick one task – just one – and try completing it with AI assistance. See what happens. Then tomorrow, try another.

Build the habit. Develop the skill. Position yourself as someone who amplifies AI’s capabilities rather than competes against them.

Because remember what Andrew Ng said: “People that use AI will replace people that don’t.”

Make sure you’re on the right side of that equation.

I welcome you as a like-minded person with high values and ambitious goals, let’s get after it — together