20 Jobs That OpenAI 03 Deep Research Will Replace

AI's Coming "Performance Review"

Hey Adopter,

Ever had that moment when you're mindlessly copying data from one spreadsheet to another, thinking "surely a robot could do this"? Well, grab your coffee and hold onto your ergonomic office chair, because I've got some spicy predictions about AI job replacement that might make your Monday morning existential crisis a bit more interesting.

I just asked Perplexity the following:

List 20 jobs that OpenAI 03 Deep Research will replace. Turn it into a table format ordered by probability. Columns are Rank, Job, Why Better Than Human, Probability.

Let's just say some office roles might want to start updating their LinkedIn profiles. But before you panic and start learning interpretive dance as a backup career, let's break this down.

The "Thanks for the Memories" Tier (90%+ Replacement Probability):

• Tax Preparers (98%): Looks like AI is better at understanding tax codes than humans. Who knew?

• Data Entry Clerks (95%): Copy-paste warriors, we salute you.

• Telemarketers (94%): AI doesn't need a script to sound robotic.

• Bookkeepers (94%): Excel wizards, your magic might need an upgrade.

• Paralegals (90%): Even legal eagles might need to spread their wings.

The "Time to Pivot" Tier (80-89%):

• Appointment Schedulers (90%): "Finding a time that works for everyone" is officially an AI problem now.

• Virtual Assistants (88%): Plot twist - they're being replaced by... virtual assistants.

• Transcriptionists (87%): AI doesn't get finger cramps.

• Proofreaders (86%): Grammar police getting automated out of a job.

• Copywriters (82%): Nervously looks at own job

The "Still Got Time" Tier (60-79%):

• Customer Service Representatives (80%): But who will ask if we tried turning it off and on again?

• Email & Content Marketers (75-78%): Time to level up those strategy skills.

• Social Media Managers (75%): Memes are safe... for now.

• Translators (71%): Apparently, AI is becoming quite the polyglot.

• Technical Support Analysts (70%): The robots are fixing the robots.

• Recruiters (70%): "Must have 10+ years experience in jobs that didn't exist 5 years ago."

• Market Research Analysts (68%): Data crunching is getting automated faster than you can say "pivot table."

• Travel Agents (65%): The ultimate "let me Google that for you" job.

• Tutors (60%): Still the safest bet in our list, but maybe start specializing in human connection skills.

Making It Work

Start by developing your "system integration" skills – not the technical kind, but the ability to connect different ideas, departments, and solutions. This is like being the human API that makes everything work together seamlessly.

Focus on building your "uncertainty navigation" capabilities. Unlike AI, humans can operate effectively in ambiguous situations where data is incomplete and the rules are unclear – think of it as thriving in conditions that would give an algorithm an error message.

Master the art of "insight synthesis" – combining quantitative data with qualitative human understanding to create solutions that neither humans nor AI could develop alone. It's like having both the data precision of a spreadsheet and the intuitive understanding of a seasoned manager.

Bottom Line

Success in the AI era isn't about competing with algorithms – it's about mastering the skills that make algorithms want to collaborate with you, much like being that go-to person who always knows how to get things done in the office.

Let me break down these skills into specific, actionable areas you can develop:

1. Strategic Empathy

   • Practice reading subtle emotional cues in meetings

   • Learn to predict team dynamics before implementing changes

   • Develop skills in conflict resolution and negotiation

   • Build expertise in cross-cultural communication

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2. Complex Problem-Solving

   • Start solving problems outside your domain expertise

   • Practice finding patterns in seemingly unrelated issues

   • Learn to combine multiple solutions into novel approaches

   • Develop scenario planning capabilities

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3. Relationship Intelligence

   • Build networks across different departments

   • Learn to translate technical concepts for various audiences

   • Develop skills in building consensus

   • Master the art of influence without authority

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4. Adaptive Learning

   • Regularly experiment with new tools and approaches

   • Practice rapid skill acquisition

   • Learn to identify relevant learning opportunities

   • Develop personal knowledge management systems

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The key is to focus on skills that combine multiple capabilities. For example, don't just learn project management – learn how to manage complex projects that require emotional intelligence, technical understanding, and strategic thinking. Don't just practice communication – develop the ability to communicate complex ideas to diverse audiences while building relationships and influencing outcomes.

These skills aren't just bullet points for your resume – they're your career's insurance policy against AI disruption. And unlike your company's actual insurance policy, this one's worth reading in detail.

Adapt & Create,
Kamil

P.S. If you're a Tax Preparer reading this... maybe it's time we grab coffee and talk about your exciting new career in AI implementation consulting. 😉