Most AI agents are toys.

They read your inbox.
They summarize reports.
They draft a few emails.

Nice productivity boost.

But saving someone eight minutes reading email is not a revolution.

The real shift is AI doing full jobs.

In this episode we break down what that actually looks like in the wild.

One large healthcare company deployed a single autonomous Cloud Employee to handle Tier 1 through Tier 3 support calls across their product lines.

Today it:

Handles 2,600+ support calls per day
Covers 65 different support skills
Operates in 15 languages
Logs 124 hours of talk time per day

The average human support call used to take 18 minutes.

The AI resolves them in about 3 minutes and 35 seconds.

When you convert that back to human time, this system replaces more than 600 hours of labor every day.

That is the difference most people are missing.

One version of AI helps you work slightly faster.

The other replaces the work entirely.

Most of the market is still building AI assistants.

We are focused on AI workers.

Learn more about Cloud Employees at Atonom
https://atonom.ai

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https://atonom.ai/

Insight Partners co-founder Jerry Murdock recently argued that the “human buyer” could disappear sooner than people expect.

Most people interpreted that as AI simply helping humans research software faster. But the bigger implication is something very different.

What if the buyer itself isn’t human?

For the past two decades SaaS companies built everything around human limitations:

Dashboards to interpret data

Menus and interfaces to navigate complexity

Demos and sales calls to guide decisions

Marketing funnels and nurture campaigns to influence buyers

The entire SaaS ecosystem evolved around a biological decision maker.

But in an agentic world, that changes.

Instead of a human researching vendors, an AI agent could evaluate products, run tests, compare results, and choose the best option automatically.

That means:

No demos

No product tours

No nurture campaigns

No traditional buying journey

Just machine-to-machine evaluation.

If that shift happens, the companies that survive will design products and infrastructure that autonomous agents can consume directly.

Everyone else may spend the next few years improving interfaces that humans never use.

Get my weekly breakdown of AI, GTM, and Cloud Employees:
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Ready to hire your first Cloud Employee?
https://atonom.ai/

Everyone in business has experienced it.

You approach someone at an event, extend an arm… and suddenly you’re in the dreaded half-hug. Arms everywhere. Nobody knows what’s happening.

For years Gabe was firmly in the “hug guy” category. Then the pandemic introduced the safest diplomatic greeting humanity has ever created, the fist bump.

Now we’re living in a strange transition period.

Some people hug.
Some people handshake.
Some hover awkwardly waiting for the other person to decide.

It’s basically a real-time social negotiation.

In this episode Gabe shares his current strategy for avoiding the awkward half-hug and asks the real question:

Where do you land in the great workplace greeting debate?

Handshake
Hug
Fist bump
Or the dangerous “wait and see” approach.

Connect with Gabe Larsen
LinkedIn: https://www.linkedin.com/in/gabelarsen

Get my weekly breakdown of AI, GTM, and Cloud Employees:
https://atonom.ai/newsletter

Ready to hire your first Cloud Employee?
https://atonom.ai/