Can AI Drive Employee Agency with the Merge of Siloed Job Roles?

It’s easy to read about AI Agents allowing for cost cutting / people reduction, but as I spend more time with teams building (and some of our own companies), I wonder if there is actually more agency to be had for great people.  Hear me out.

Great people want to do more—they don’t want to be siloed into a context-less role where they are merely a cog in the machine.  I think this new world will appeal to them.  Two examples:

In a meeting with a great AI-driven video tools company this week, the CEO noted that production and editing are consolidating into one role: the “Pr-edator” (I laughed).  The roles are collapsing: the editor is now also a producer, and vice versa.  You just don’t need both in the same way with the right tooling.

And then as I dug in with one of our companies I was impressed by how much one sales person can do with a full-stack approach.  After 10 min watching YouTube videos to get a little smarter at Chat GPT (I still have so much to learn), I was able to do myself what we had teams of BDRs + SDR + AE + RevOps doing at Gympass a few years ago:

• Developed a list of relevant target companies 

• Prioritizing them

• Finding the right stakeholders to target

• Getting contact info for them

I certainly could have added more work flow automation to send emails instantly.

As a scrappy startup person, these setups appeal to me: great people having more agency and latitude to have a real impact.

Companies will be leaner and more efficient, and individuals will have a bigger impact and find themselves more empowered and fulfilled.  That’s a great thing.

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Here are the prompts I used for that sales process; I’d love to see how others do it even better (or what other job-specific tools have been great to use):

I want to target retail companies that sell to consumers over the internet. 

1.

Visit: 

“Brand 1”, “Brand 2”, “Brand 3”, “Brand 4”, “Brand 5” 

In a table, return: 

- The company name

- website URL

- Account Fit (true or false)

Then…

2.

Based on the companies that are an account fit - come up with 50 more accounts that would also be a fit.

Return a table only with: 

- Company name

- Website URL

Then…

3.

job title = VP, ecommerce

company name = “Brand 1”, “Brand 2”, “Brand 3”, “Brand 4”, “Brand 5”, “Brand…n”

For each company:

1 - Go to Google.

2. Type "site:linkedin.com/in {job title} {companyname} " in the search bar.

3. Save the first result you get

In a table return: 

- company name

- LinkedIn URL

- name of the person (extracted from the title)

- description of the person

Just return the output.

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