Part I
Can independent agencies keep up with the networks on AI?
Networks have a real structural advantage in AI. They can assign engineers, product people and data specialists to build internal systems while the rest of the organisation continues billing clients. An independent agency has to take resources away from the work that pays the bills.
Pretending this difference does not exist will not help independents. It also does not mean the networks automatically win.
The network advantage is capacity
Large networks can fund teams to build agents, connect data, handle governance and integrate tools across agencies. They can run pilots in several markets and absorb failures that would be painful for a 40-person business.
In theory, they also have vast amounts of campaign data and can learn what works across clients and categories. I am less certain how valuable this becomes in practice. Data rights, inconsistent measurement, client confidentiality and local context complicate the promise. The capacity to build is harder to dispute.
An independent considering an internal platform faces a different calculation. The people capable of designing it may also be needed for client work. Six months of development has an opportunity cost that a network can spread across a much larger business.
Buying software can close part of the gap
Specialised third-party software allows independents to rent capabilities that once required internal development. This can erase much of the infrastructure advantage if the software solves the right problem.
The relevant test is not whether software was built internally, by practitioners or by a specialist vendor. It is whether its model of the work survives contact with how the agency actually operates. Software created from a technical fantasy about agency work can reproduce the same failure as a distant internal transformation programme.
Buying also creates risks. The agency becomes dependent on a vendor's security, roadmap and commercial stability. A tool can lock the team into one process, and any advantage weakens if every competitor buys the same system. Third-party software closes infrastructure gaps; it does not create a distinctive operating model on the agency's behalf.
The evaluation should start with actual needs. How does a team work across clients? Where is context lost? Which decisions need feedback? What should survive into the next stage? Technical possibility matters after the work has been understood.
Independence brings flexibility
A network has governance, integration and standardisation obligations. Once it has invested in a platform, switching direction can be slow. An independent can choose a tool, test it with real work and replace it when something better appears.
That flexibility may become an advantage in a market where models and products change quickly. It is only useful if the agency makes deliberate choices. Buying every new tool creates fragmentation and leaves teams reconstructing the process between them.
Networks have procurement scale and greater change-management leverage when leadership commits. They can negotiate enterprise terms, set standards and fund adoption across many businesses. The same scale also creates more systems, stakeholders and organisational resistance.
An independent has fewer people to convince and fewer legacy processes to coordinate. Cultural adoption can move faster because the practitioners choosing the system are often close to those using it. That advantage disappears if leadership treats adoption as a software purchase rather than a change in how work is done.
The independent should decide which capabilities matter, how they connect and who owns the operating model. The technology can be rented. The way the agency uses it remains a management decision.
Data is not automatically knowledge
Networks often describe data as their unmatchable asset. They may be right in certain areas, especially where measurement is comparable and permission is clear. I would be careful about assuming scale alone produces insight.
Campaign data reflects different brands, markets, objectives, creative quality and measurement systems. The central challenge is interpreting what transfers into the decision in front of you. A smaller agency with strong client understanding can sometimes use less data more intelligently.
I do not know how the long-term balance between proprietary network data and broadly available models will settle. It is an area where confident claims run ahead of public evidence.
Compete from the work outward
Independent agencies should not recreate a network in miniature. Their advantage is proximity between the people doing the job and the people choosing the system. They can ask whether a capability improves real decisions, preserves useful knowledge and increases strategic attention.
Networks can build things independents cannot afford alone. Specialised software can rent much of that infrastructure. Work-led selection, faster adoption and a willingness to switch give independents a credible way to keep up in the areas that matter, with no guarantee that technology alone will make them win.
