Stop Chasing AGI

By Shilo Abramovicz // Jan 2026

Stop arguing about AGI definitions—intelligence is jagged, impact is what counts, and AI is already rewriting real work.

The Definition Is Broken and the Impact Already Isn’t

The AGI debate is mostly a distraction.

We keep arguing about whether an AI is truly general, whether it has curiosity, goals, self-motivation, or some mystical internal spark , while systems that fail those purity tests are already reshaping work, collapsing costs, and quietly rewriting the economy.

That should tell us something.

Intelligence Was Never Smooth

Human intelligence isn’t some clean, continuous curve. It’s jagged as hell.

Humans are amazing at some things and embarrassingly bad at others. We’re great at storytelling, terrible at probability. We build civilization and still fall for the same cognitive traps over and over again.

Even collectively, humanity has blind spots. Always has.

So when people say “AI is superhuman at X but bad at Y,” that’s not a flaw. That’s what intelligence looks like in the real world.

Humanity’s Intelligence Changed Without Changing Humans

The average person today is smarter than the average person 300 years ago , not biologically, but structurally.

Better education. Better tools. Better abstractions. Better access to information.

Human intelligence evolved by outsourcing cognition to systems.

AI is just the next system , except this one doesn’t just store knowledge, it produces output.

Expecting AI to Beat Humans at Everything Is a Category Error

There’s this weird assumption that “real” intelligence must dominate every dimension.

Why?

Planes don’t flap. Calculators don’t understand math. The internet doesn’t think.

Systems don’t need to mimic humans to outperform them where it matters.

If an AI:

  • Does the job faster
  • Cheaper
  • At acceptable or better quality

Then the debate is already over ,whether or not it feels curious while doing it.

AGI Is a Label. Power Is the Point.

Here’s the uncomfortable truth:

If a system:

  • Replaces or augments 30–50% of digital work
  • Pushes GDP growth into double digits
  • Solves bottlenecks in science, engineering, or coordination

No one will care whether it “counts” as AGI.

The definition will be rewritten after the impact, not before.

That’s how it always works.

The Only Benchmark That Matters Is Work

Forget IQ tests. Forget thought experiments.

The real question is simple:
What economically valuable work can this system do?

That’s why GDP-style benchmarks are the only ones that matter. Not because GDP is perfect, but because markets don’t lie about usefulness.

If something replaces paid labor at scale, it is intelligent enough.

Why Freelance Marketplaces Are the Real AGI Labs

If you actually want to measure AI vs human capability, you don’t go to philosophy departments.

You go to digital labor markets.

They have:

  • Real tasks
  • Real prices
  • Real humans
  • Real quality thresholds
  • Real consequences

Writing, design, coding, research .These are the cleanest AI vs human comparisons we have today.

And AI is already winning some of those comparisons.

Quietly. Unevenly. Jaggedly.

Just like intelligence always does.

The Takeaway

AGI isn’t a finish line.
It’s a post-hoc story we’ll tell once the world has already changed.

The only thing worth tracking is how fast AI is eating real work, and where humans still matter.

Everything else is semantics.

And semantics don’t stop paradigm shifts.