That $80,000 Hire May Be Five Capabilities in Disguise

By Olivia Hart

An $80,000 employee you planned to hire may actually be five different capabilities bundled together because that is how jobs have always been designed. That claim sits at the center of a new entrepreneur-authored argument making the rounds among small-business owners: before writing the next job description, break the work apart and check whether a person is even the right answer.

The author, a professional-services operator writing for Entrepreneur, reports that one of the most common sentences heard from growing business owners is, "We need to hire someone." Sometimes they're right. Often, the piece argues, what they mean is that something isn't getting done: sales leads go unfollowed, marketing turns inconsistent, customer service drowns, or a founder burns 10 hours a week on work they should not be doing.

What does the traditional hiring model assume?

For decades, the fix has stayed the same. Create a job, bundle responsibilities, write a description, set a salary, and find someone to perform those tasks for roughly 40 hours a week. The author concedes that model is not disappearing. But AI, automation, fractional executives, freelancers, outsourced partners and global specialists now give entrepreneurs far more options than existed even a few years ago.

The suggested first move is a different question: "What outcome are we actually trying to buy?"

How did the author test the idea?

The piece describes a real exercise inside one of the author's own businesses. The goal was more qualified sales opportunities, and the obvious answer looked like hiring more business development staff. But, as the author writes, "hire another salesperson" wasn't really the outcome needed. What the business wanted was "a consistent pipeline of qualified conversations with the right potential customers."

Unbundling that outcome produced a chain of tasks:

• Identifying and researching target companies
• Finding the right decision-makers
• Developing messaging and conducting outreach
• Following up and qualifying responses
• Holding meaningful conversations with prospects

Previously, most of that work would have landed in one person's job. Instead, the company assigned dedicated research support to investigate prospects, used technology to organize contact information, and deployed AI for research and personalized outreach while automation absorbed repetitive steps. Salespeople now spend more time on relationships, understanding needs, and moving genuine opportunities forward. The author's caveat: "We still need talented salespeople" — and placing the right people matters even more under this model.

What do the data say?

Two studies anchor the argument. The World Economic Forum's Future of Jobs Report 2025 surveyed more than 1,000 employers representing over 14 million workers; 73% expect to accelerate process and task automation, 63% plan to augment their workforce with new technologies, and 70% expect to hire people with emerging skills. The conclusion: businesses are not choosing between people and technology, they are redesigning the combination.

The U.S. Chamber of Commerce's 2025 Empowering Small Business report found 58% of small businesses using generative AI, up from 40% a year earlier and 23% in 2023. More striking: 82% of small businesses using AI said they had increased their workforce over the previous year — a figure the author reads as evidence that technology and people are not competing for the same seat.

A skeptic should note what these surveys do not establish. They measure stated intent and reported adoption, not whether the unbundling approach actually saves money or improves output. The author's own case study comes without numbers attached.

Which four questions precede a hire?

The framework the author proposes:

1. What outcome do we actually need?
2. What work creates that outcome?
3. What requires human judgment?
4. What capability are we actually missing?

Only after answering those, the argument runs, should a business choose among an employee, a specialist, an outsourced partner, automation, AI, or a combination. Some capabilities still demand full-time staff because the work is continuous, strategically important and context-heavy. Others may need an expert for five hours a month.

The piece stresses this is not about replacing employees with technology — it is about dropping the assumption that every capability gap requires another person on payroll. The core distinction: a company no longer needs to own capabilities through employment; it needs access to them. Headcount comes in large units. Capability does not.

The author, who ran professional-services firms where more clients always meant more people, admits that link is weakening. The open challenge is integrating employees, specialists, partners, software, automation and AI into one functioning system — a design problem small firms have rarely had to solve.