“Something Big Is Happening” went viral for a reason.

80M+ views.
That’s ~1% of the world.

People didn’t share it because it scared them.

They shared it because it confirmed something they already felt.

The February 2020 analogy matters.

Flights were full.
Offices were open.
Life looked normal.

But the curve had already bent.

AI feels similar.

This isn’t 3.1 vs 3.2.
This is linear turning vertical.

What used to require:
• Back-and-forth iteration
• Multiple handoffs
• Days of refinement

Now happens in:
• One well-structured prompt
• One feedback loop
• One autonomous build cycle

The first industry to feel it?

Software engineering.

For 20 years, engineering was the safest bet in the economy.

Then AI went from:
Autocomplete
→ Code suggestions
→ Full scaffolding
→ Autonomous builders

In under two years.

Engineering wasn’t targeted.

It was simply closest to the blast radius.

AI labs optimized for code because code builds AI.

Once that loop worked, the capability expanded.

Now the compression spreads:

• Law
• Finance
• Consulting
• Customer support
• Revenue operations

Anywhere work = language + logic + structured process.

That’s why the article resonated.

One industry already compressed.

The rest are debating whether the shift is real.

This isn’t panic territory.

It’s attention territory.

The curve has already bent.

The only question is whether you see it while it’s happening — or after it hits your function.

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Vinod Khosla recently said BPOs could disappear within five years.

Most service leaders will dismiss that.

They shouldn’t.

Traditional BPO is built on:
• Labor arbitrage
• Headcount scale
• Utilization math
• Margin on human throughput

That model worked when labor was the constraint.

AI changes the constraint.

If your business relies on:
• 1,000 agents answering tier-one tickets
• Teams updating CRMs
• Manual invoice processing
• Rules-based lead qualification
• Repetitive back-office tasks

You are operating a temporary data-processing layer.

And AI eats temporary layers.

The opportunity isn’t to shrink.

It’s to redesign.

The next-gen BPO likely looks like:
• 50 high-skill operators
• 5,000 AI workers
• Outcome-based pricing
• 24/7 execution
• No training lag
• No attrition

This is no longer about cost per FTE.

It’s about orchestration per outcome.

Nearshore will still matter for complex, judgment-heavy workflows.

Offshore will still matter for scale.

But the dominant layer becomes “Smartshore”:
BPOs that specialize in AI agent orchestration and Cloud Employee management.

The fork in the road:

Defend seats and optimize headcount math.

Or rebuild around output and orchestration.

Comfort vs inevitability.

The market won’t reward comfort.

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Salesforce is charging for Agentforce three different ways:

• $2 per conversation
• $0.10 per action
• $125+ per user per month

One product. Three models.

Why?

Because SaaS was built on seats.

But AI replaces seats.

If your AI works, customers need fewer humans.
If customers need fewer humans, they need fewer licenses.
If you charge per seat, your best product eats your own revenue.

That’s the revenue paradox every incumbent is staring at right now.

So companies are experimenting in public.

The PricingSaaS 500 tracked 1,800+ pricing changes last year across the top 500 B2B and AI companies. That’s 3.6 pricing shifts per company in a single year.

Nobody has conviction yet.

We’re watching three camps form:

Per-seat incumbents trying to protect predictable ARR.

Usage-based vendors aligning price to compute and API calls.

Outcome-based challengers trying to tie price directly to value created.

This is not a feature update cycle.

It’s a structural shift.

For twenty years, software was access.
Now AI is output.

And output doesn’t map cleanly to logins.

When software becomes labor, you price it like labor.

That’s the shift.

The companies that figure out how to align price with output, capacity, and business impact will win.

Everyone else is just adjusting knobs and hoping the spreadsheet holds.

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