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The Ai Shift

Why 'Can We See More Options?' Is Becoming A Bigger Problem In The AI Era

Ad Tribe Editorial2 min read
A stressed character holding an overflowing oversized hand of playing cards

"Can we see a few more options?" used to be a reasonable, occasionally annoying request. AI has made it nearly free to fulfil, which is exactly why it has become a bigger problem, not a smaller one.

Every agency has fielded this request for as long as pitching has existed, and it used to come with a natural brake built in: producing another polished direction cost real time, so clients asked for more options sparingly, and agencies could push back on the cost of indulging every request. AI has removed that brake. A fourth, fifth or tenth direction now costs almost nothing to produce, which means the request gets made more freely, and agencies have lost the easiest argument they used to have against it.

More options was never actually the value

The mistake sitting underneath the request is the assumption that more options leads to a better decision. In practice, past a small number of genuinely distinct directions, additional options mostly produce decision fatigue and diffuse accountability across a group, since a room full of stakeholders can debate five similar-but-different executions for hours without ever building consensus around any one of them. What a client actually needs from an agency is not more raw material to choose from. It is a confident, well-argued recommendation for which direction is right, backed by the judgment to have already ruled out the weaker ones.

Why agencies keep saying yes anyway

Agencies keep producing extra options on request, even when they know it rarely helps, because saying no now looks like reluctance rather than the cost-based pushback it used to be. When the cost argument is gone, refusing to generate a sixth direction can read to a client as the agency being precious about its own thinking rather than protecting a decision-making process, and few account teams want that conversation. The result is agencies quietly producing far more speculative work than they used to, for a decision quality that has not improved to match.

Generating more options got cheap. Deciding between them didn't get any easier, and that's the part clients actually need help with.

What the better agencies are doing instead

The agencies handling this well are reframing the conversation entirely: producing the range of options privately, using AI to explore broadly, and then presenting a client with a small number of genuinely distinct, strongly recommended directions rather than a wide unfiltered set. That approach uses AI's speed for what it is actually good at, exploring quickly, while protecting the part of the job that still requires human judgment: knowing which explorations were worth showing a client at all.

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