Will AI replace agencies? It changes what you should delegate

AI will not replace agencies as a category, but it is replacing the reason most companies hired one. For years you delegated execution to an outside team and kept the growth thinking in-house. Now that AI has made building, shipping, content, and campaigns far cheaper, the thing worth delegating is the growth number itself, handed to a partner that owns engineering, AI, and go-to-market end to end. This guide explains the shift, what it changes in your contracts and reporting, where it fails, and how to start.

Will AI replace agencies?

Not as a category. It will replace a business model. Rishad Tobaccowala, a senior advisor to Publicis Groupe, put it this way in 2025: AI will not replace agencies, but the ones that use it well will replace the ones that do not.

The bigger change is on the buyer's side. When execution was expensive, buying execution hours was a fair trade. When execution is cheap, buying hours means paying for the part that matters least. What you want to buy instead is a result.

What did AI change about delegation?

Before AI, a founder or marketing lead decided what would drive growth. Then they briefed separate vendors to write the code, build the site, produce the content, and run the ads. Each vendor was measured on whether its task got done.

That split made sense because labor was the bottleneck.

Modern AI tools have moved that bottleneck. A small, sharp team can now draft, build, test, and ship at a pace that used to need a much larger one. Legal advisors who write service contracts see it too. A Morgan Lewis analysis from June 2026 observes that the labor needed to deliver services may fall even as the value delivered rises, and that pricing built on headcount is being challenged.

What did not get cheaper is the thinking around the work.

• Judgment. Deciding which problem is worth solving and which bet to drop.
• Taste. Knowing when a page, a product flow, or an article is good enough to put in front of buyers.
• Measurement. Setting a baseline, tracking the number honestly, and testing AI output before it ships.
• Distribution. Getting the work found, in search results, in AI answers, and in the inboxes of the right buyers.

When execution is cheap, the scarce skill is knowing what to execute and proving it worked.

That is why engineering, AI, and go-to-market are now one job. The person who decides what to build should also see whether it brought in pipeline, and adjust next week.

Execution delegation vs growth delegation

The two models differ on every decision a buyer makes.

If you are comparing vendors right now, our 10-point checklist for choosing an AI agency turns this table into questions you can score.

What changes for the buyer?

Handing over a number instead of a task changes three things on your side.

Contracts

Scope moves from a list of deliverables to a metric, a baseline, a time frame, and the access the partner needs to move it. You still want the basics in writing: who owns code, prompts, and data, what model usage costs, and how you exit. Pricing can stay simple, such as a fixed monthly fee tied to a clearly named metric rather than an hourly rate tied to effort.

Metrics

Pick one primary number and no more than two supporting ones. Good candidates are qualified pipeline, activation rate, revenue from a segment, or how often AI assistants mention you for buyer questions. Our guide to measuring AI search visibility covers the last one.

Reporting

Reports stop listing activity and start explaining the number. A useful update says where the metric is, what changed it, what did not work, and what ships next. If a report cannot connect work to the number, ask why.

Where does growth delegation not work?

It is not right for every situation.

• No baseline. If you cannot measure the metric today, the first job is instrumentation, not growth.
• No access. A partner cannot move activation without touching the product, or pipeline without touching the site and the CRM.
• The metric depends on things outside their reach. Pricing, sales follow-up, or product quality can cap any number. Name those limits up front.
• You need pure capacity. If you already know exactly what to build and only need hands, a task-based contract is cheaper and clearer.
• Regulated decisions. Legal, medical, and financial calls stay with your accountable people, whoever does the build.

For a fuller comparison of building this capability yourself, read in-house AI team vs AI engineering partner.

How do you start delegating growth?

1. Choose one metric. Pick the number that matters most to the business this quarter, not the easiest one to move.
2. Write down the baseline. Agree on where it stands today and where the data lives.
3. Grant real access. Product, site, analytics, and CRM access, scoped and logged.
4. Agree on the cadence. A weekly note on progress and a monthly review of the number.
5. Review after one cycle. Keep what moved the metric, drop what did not, and decide whether to widen the scope.

This is also the logic behind owning tech and growth with one partner and the difference we drew in AI-native agency vs IT services company.

Frequently asked questions

Hand over the number

The question is no longer whether an outside team can do the work. AI made the work cheap. The question is whether anyone outside your company will own the result, combining engineering, AI, and go-to-market to move it. Nactore is a technology and growth company built for exactly that: one partner that builds, ships, ranks, and grows, measured on your growth.

Know the number you want moved? Book a free 30-minute call and bring your baseline.