I’m Hiring Ten AI Agents — and You Should, Too

Reimagining the Future Media Team + AI Agents In AdTech

Let’s be honest: media teams are broken.
Not because the people aren’t talented, but because workflows are still stuck in 2015.

Endless log-ins, duplicated reporting, manual QA across half a dozen platforms. It’s grunt work dressed up as strategy. Trading teams become huge and bloated, with so much time getting chewed pulling reports and otherwise running repeatable, automatable tasks.

Now, imagine you wake up tomorrow, and your “junior ops hire” isn’t a human at all. It’s an agent, an autonomous AI colleague that can log into a DSP, reconcile pacing, flag broken tags, and even message your analytics agent to check whether conversions are firing.

This is agentic AI: not another “AI” chatbot spitting out paragraphs, but software you “hire” into your team. Agents don’t just respond to prompts, they pursue goals, coordinate with each other, and increasingly, hook directly into APIs and platforms through standards like Anthropic’s Model Context Protocol (MCP).

From Operator → Orchestrator

The shape of the media team is about to change. Where once you had five juniors pulling reports and three managers troubleshooting deals, tomorrow you’ll have one human orchestrator and a fleet of agents running in the background.

The human becomes the strategist and conductor: deciding what matters, setting constraints, and layering judgment. The agents handle the drudgery at machine speed.

In businesses like FunnelFuel, where we are running campaigns for offices across 3 continents, with lots of timezone considerations (London, NYC, Singapore) - the need for speed and 24/7 optimisation is key. Additionally, as B2B campaigns get more nuanced, like expecting accounts to get pulled from TALs mid flight when specific scores are met, or penetration scores achieved, this has to happen FAST!

This isn’t theory. Platforms are already experimenting:

• FreeWheel is wiring agents into diagnostics and troubleshooting.

• PubMatic is building a “PubMatic Assistant” to let DSPs and SSPs resolve deal issues agent-to-agent.

• Dstillery is demoing agents that autonomously build and optimize lookalike audiences.

• FunnelFuel is rolling out agent layers to handle reporting, pacing, creative tag checks and all kinds of other day to day tests

In other words, agentic ad tech is not coming. It’s here.

And that means one uncomfortable question for every team lead:
👉 Do you “hire” another person into the ops team?
👉 Or do you hire three agents and multiply the output of your existing staff?

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Here’s the catch: most of the industry is still talking in buzzwords. Agents, autonomy, orchestration, future of work.

What no one is spelling out is how you actually start hiring agents today.

• Which tasks can you hand off first?

• How do you scope guardrails?

• Where do you plug them into DSPs, analytics, and QA pipelines?

• And how do you make sure your “agent hires” multiply output without turning into expensive, unmonitored toys?

That’s what I’ll break down in the paid section—the practical blueprint for building your One Human, Ten Agentsmedia team.

If you’re running ad ops, programmatic buying, or B2B media today—this section will save you months of trial and error.