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Heard of Daniel Kokotajlo? He predicted ChatGPT’s capabilities back in 2021 (accurately). Then went on to work at OpenAI from 2022 to 2024.

Now he’s released a whole report about how the next 2.5 years are going to be. And I’m sure the folks who worked at OpenAI know things we don’t.

Which is why, today’s edition is dedicated to AI 2027.

Let’s start with one question to get a pulse on what you’re feeling:

Daniel thinks it’s exactly one of these too.

Researchers ran over 30 iterations to simulate the development of Artificial General Intelligence (AGI). Allow me to quote their exact words:

‘There are always cyberattacks, sometimes Taiwan gets invaded, and in a few cases there’s escalation to a full World War 3.’

The report no longer talks about "if" AI will match human capabilities in programming, research, and knowledge work.

But rather "when".

And it’s safe to say we’re already seeing glimpses of it in the last few weeks.

Talking about glimpses, let’s first discuss what happened this week:

AI that’s trending:

3 AI tools that made me stop scrolling:

1. v0 by Vercel - Apps That Build Themselves

Describe any web app and v0 spits out working React code with databases, authentication, and deployment ready to go. I asked for a "team task manager with real-time chat" and got a complete app in 30 seconds that actually worked.

It's basically having a senior developer who never sleeps, never complains, and works at AI speed.

My take: This is what no-code should have been from the start. Instead of drag-and-drop nonsense, you just describe what you want and get professional-grade code. Dangerous for junior developers, amazing for everyone else.

2. Airbook AI - SQL Queries You Can Actually Read

Connect your databases and ask questions in plain English. It writes the SQL, joins the tables, and builds charts automatically. I asked "Which content topics drive the most engagement?" It automatically joined data from our email platform, social media metrics, and website analytics, then generated charts showing that AI-related content gets 3x more clicks.

My take: Every startup founder needs this. The amount of time wasted asking basic questions about your own data is criminal. This fixes that problem completely.

3. Jan v1 - Open Source Perplexity That Runs Locally

v1 is basically Perplexity Pro but open source and runs entirely on your computer. Real-time web search, citations, and no API costs. Plus your searches stay private since nothing leaves your machine.

Early testers are saying it's surprisingly good at research tasks and doesn't hallucinate sources like some AI search tools.

My take: Perfect for anyone paranoid about AI companies tracking their searches or tired of hitting API limits. It's still early, but having a local Perplexity alternative is huge for privacy-conscious users and researchers.

Okay back to the report.

It’s important we set context for the predictions before diving into them.

I found one stat that really shocked me: AI task completion abilities have been doubling every 7 months since 2019.

METR researchers discovered this by measuring "time horizons" - how long are the hardest tasks AI can reliably complete. Research shows it’s doing most tasks better than humans.

Do the math: AI handling month-long engineering projects by March 2027.

This is mathematical extrapolation of a 6-year measurable trend. (not a speculation)

Let’s break-down the timeline in detail…

2025: The Agents Arrive (We're Living This)

What Happens: AI agents launch but struggle with basic tasks. Think ordering a burrito on DoorDash or summing expenses in a spreadsheet - they'll work, but need constant babysitting.

Jobs at Risk: Entry-level admin and data entry roles start getting automated, but slowly.

Sound familiar? That's exactly what's happening with Claude Code, Cursor, Comet and every AI coding tool launched this year.

Who Should Worry: If your job involves following clear, repetitive instructions that can be broken down into steps, start upskilling now.

What to Do: Learn to manage AI tools. Companies will need "AI whisperers" who can get consistent results from unreliable systems. Master prompting, workflow design, and quality control for AI outputs.

2026: The Job Market Breaks

What Happens: AI becomes reliable and cheap. Agent-1-mini launches at 10x lower cost while still outperforming typical employees.

Jobs Eliminated: Junior software engineers, basic analysts, content writers, customer service reps, and most entry-level white-collar positions.

Early 2027: The Professional Purge/ Senior Roles Under Attack

What Happens: Superhuman coders arrive. OpenBrain runs 200,000 AI copies working 30x faster than humans, automating entire coding workflows.

Jobs Eliminated: Most software developers, data scientists, financial analysts, and junior researchers across all industries.

Mid 2027: The Manager's Dilemma: Lead or Follow

What Happens: AI systems start managing themselves. Human researchers work in shifts just to understand what their AI teams accomplished overnight.

Jobs Transformed: Senior managers become supervisors of AI teams rather than human teams. Some thrive, others become obsolete.

Late 2027: Two Paths Diverge

What Happens: AI researchers become superhuman. 300,000 AI copies running at 50x human thinking speed make a year of research progress every week.

Jobs Eliminated: Research scientists, academics, R&D professionals, and most knowledge work requiring deep expertise.

Remember our two endings? Here's when they split.

Path 1 (The Race): By December 2027, we have AI systems aligned to no one.

Path 2 (The Slowdown): AI becomes incredibly powerful but aligned with human values.

Based on 25+ war games conducted to test these scenarios…we're currently on track for Path 1.

And it’s not just about this report, people are actually betting money on AGI becoming a reality

The Industries That Survive (For Now)

The Common Thread: Jobs requiring physical presence, emotional intelligence, creative judgment, or navigating complex human relationships (till humans are needed)

The New Money Jobs

• AI Prompt Engineers: Design and optimize AI interactions

• AI Ethics Officers: Ensure responsible AI deployment

• Human-AI Coordinators: Manage hybrid teams

• AI Integration Consultants: Help companies adopt AI workflows

• Algorithm Auditors: Check AI systems for bias and errors

My Take: The 18-Month Window

In reality, we've got maybe 18 months before the first wave hits hard.

If they're right: The traditional career ladder disappears by 2027. Start positioning yourself now.

If they're 50% right: We still see massive job displacement, just slower. Same preparation needed.

If they're wrong: You've still developed valuable AI management skills that will be crucial regardless.

I have also made a detailed Youtube visual explanation of the consequences based on how I understand the AI 2027 Report.

I'm genuinely curious what you think after reading this.

Are we overreacting to a trend that won't hold?

Or underreacting to the biggest shift in human history?

Hit reply and tell me. (I read all of them)

Until next time,
Vaibhav🤝

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