Most agency leaders expect AI to upend their business within 3 years

A new benchmark survey of 100 independent agency leaders finds strong belief in AI’s upside, but major gaps in readiness, brand safety and training. The report suggests agencies are moving from experimentation to adoption without the infrastructure to support AI at scale.

Why it matters: - Independent agencies appear caught between pressure to adopt AI and the operational controls needed to use it safely. - The readiness gap could slow creative workflows instead of speeding them up, especially when brand safety and legal compliance are at stake. - The findings point to a broader industry shift from AI experimentation to AI adoption, with real business-model implications over the next 3 years.

What happened: - NewtonX and Innervate produced the 2026 AI-Readiness in Independent Agencies benchmark report. - The survey included 100 independent agency leaders. - 88% of respondents expect AI to fundamentally disrupt their creative business model within 3 years. - Only 10% said their organization is fully prepared to manage the brand safety and legal compliance risks tied to AI-generated creative. - The report is available as the full report.

The details: - 64% of respondents said uncertainty about output quality and brand safety is the biggest barrier to AI adoption in their organization. - 80% believe AI can help their agency scale without adding significant headcount. - 89% believe automation will shift team time away from production and trafficking toward strategic and creative work. - 56% said they are using 3 or more different approaches to integrate AI into their workflows. - C-suite leaders gave disruption a 4.47 out of 5 score, but reported the lowest confidence in brand safety preparedness at 3.11 out of 5. - 63% cited lack of internal AI expertise or training as the second major barrier to scaling adoption. - 16% named internal AI expertise or training as their single biggest challenge. - One Content Director said internal skill sets need regular retraining as new AI production techniques appear on the market. - A VP in Data & Analytics called for a cohesive approach and change-management program that brings teams and colleagues at all levels along.

Between the lines: - The report suggests agency leaders largely believe in AI’s promise, but do not yet trust the systems, processes or teams needed to deploy it consistently. - The biggest friction is not enthusiasm. It is execution. - The “last-mile problem” described by respondents shows that AI can raise output volume while also creating more manual cleanup. - Roughly 27% of respondents said AI output is inconsistent, off-brand or off-brief, which forces heavy human correction. - One VP of Marketing at a mid-sized independent agency said the team spends nearly as much time editing and aligning outputs as creating from scratch. - Innervate EVP Marketing and Head of Product Management Darren Waddell said agencies face a new set of challenges as daunting as the problems AI solves.

What’s next: - Agencies are moving toward a “human-led, AI-executed” model, but the report suggests training, change management and brand-safety controls will need to catch up first. - The findings imply that adoption will likely remain uneven until agencies reduce rework and standardize workflows. - Leaders who want AI gains at scale will need to close the gap between experimentation and operational readiness.

The bottom line: - Agency leaders expect AI to reshape their business fast, but most are still not ready to absorb it safely or efficiently.