The Future of Media and the Human Advantage

Of all the content at the Future of Media, there were a couple of standout sessions that addressed the role of humans in the future of our industry. As AI agents take on more of the work, the people around them matter MORE not less. How we build this into our talent strategy is crucial.

Before exploring how talent should be deployed in our businesses it's important to understand how consumers media habits are fundamentally changing, from searching to delegating. We used to ask a question and sift the answers ourselves. Increasingly, an agent acts on our behalf: it researches, compares, shortlists and, more and more, decides. Clive Dickens' presentation about the rapid adoption of agents such as Muse, Instinct and Dots, was a brutal awakening to how much of the purchasing decision-making will very soon sit with agents, bypassing media channels.

That changes the job of a marketing or media business. It also changes where human talent creates the most value. Most of the AI conversation in our industry is about what agents can replace. The presentation by Leila Seity Hassan (Digitas) and Lin-Sze Tse (Starcom) was the most compelling, making the opposite case: as agents take on more of the work, people matter even more. Here are their main opinions:

How agents decide what we see

Agents draw on three sources: the knowledge base they were trained on, live search for real-time information, and tools and systems they can connect to.

They also search by meaning rather than by keyword. Vector search lets an agent take a prompt and return a solution, not just a product name that happens to match the words.

So, someone is shaping what agents find. Platforms, retailers and brands are all optimising their information for clarity and consistency. The people making those choices now hold real influence over what consumers see, and most organisations have not yet decided who those people should be.

It all looks the same

Agents love clean, consistent data. If everyone optimises for the same machine, everyone converges on the same average. Distinctiveness, the thing brands are paying for with their media and marketing, is becoming lost.

If agents pull everything towards the average, the edge belongs to whatever they cannot replicate. Hassan and Tse named three human strengths we have over agents:

Diversity of thought

Teams built from different backgrounds, ethnicities, skill sets and capabilities see options a homogeneous team, or a model trained on a narrow slice of the world, will miss. Their view was blunt: the most diverse teams will win the biggest.

Curiosity in culture

AI retrieves what is well structured and publicly documented. Humans live in culture. AI does not. Hamid Habib's talk on community-first marketing approached this from the perspective of the consumer, landing the point that 'humans are the new API'.

Staying close to real conversations, word of mouth and cultural moments as they happen is a genuine competitive advantage. Organisations should treat cultural knowledge with the same seriousness as technical capability.

Context IQ

EQ plus IQ gives what they called Context IQ: understanding the intangible alongside the tangible. People make decisions emotionally as well as rationally. Reading motivation, mood and what is left unsaid is something humans do constantly, and machines do poorly.

Where talent belongs now

Work that is repetitive, rules-based and well documented will increasingly go to agents. The question is what leaders do with the capacity that frees up.

Deploy people where judgement, culture and context decide the outcome: brand and creative strategy, client and partner relationships, cultural insight, and the curation of what a business feeds to the machines. Someone has to decide what "clear and consistent" should mean for a brand without flattening it.

Support them to stay sharp. That means training that goes beyond tool adoption, time and permission to be out in culture, and recruitment that deliberately widens the range of backgrounds and skills in the room.

Value what they bring. If performance is measured only on output an agent can match, people will be judged on the wrong things. Judgement, originality and the ability to read a room deserve to be recognised and rewarded explicitly.

The challenge and the opportunity

AI is the catalyst for this change but humans, with our creativity and vision, will decide what the next era looks like. The flattening is coming fast and now is the time to act.

Grace Blue executive summary

Most organisations have an AI strategy but far fewer have a people strategy built for the same future. Our challenge to leadership teams is to close that gap: put as much rigour into your human strategy, the skills you need in your team, and how you get there through upskilling and hiring. At Grace Blue, we have spent a year developing a leadership assessment built for this conundrum that focuses on the skills needed to successfully transform businesses.

Invest in leaders who can transform a business rather than simply automate it. Leaders who build diverse teams, keep their organisations close to culture, and know where human judgement matters. The technology will be available to everyone. Future-fit leadership will not.

Sources: Human Advantage in the AI era by Leila Seity Hassan (Digitas) and Lin-Sze Tse (Starcom); Rewriting the Rules of Brand growth by Hamid Habib (Arena Media); Agentic Media Buying: What should Buyers Delegate by Clive Dickens (Meliora)

Future of Media London 2026