AI Is Infrastructure, Not A Side Demo
Applied Creativity tied machine capability to leadership, incentives, creative process, and the ability to turn ideas into growth.
Executive Read
The Thesis
Wednesday's AI story was broader than generative production. It appeared in creative infrastructure, commerce search, buyer consideration, scientific discovery, creative tools, and awards work where data had to change an outcome.
Accenture Song argued that AI will not replace creativity, but that the distance will grow between teams that use it intentionally and those that do not. WARC and LinkedIn then made the commercial case: AI surfaces brands and builds consideration from authority, cultural prominence, recommendations, relationships, and relatability.
Demis Hassabis gave the sharper control layer. Current systems still lack long-term planning and true creativity; the best tools increase possibility and iteration, but human ingenuity, science, safety, and creative judgment remain the standard.
1control layer: human judgment
2AI markets: people and models
0support for AI without governance
What Repeated
Five Day 3 AI Takeaways
The AI material kept returning to the same operating question: what can the tool unlock that people, brands, buyers, or institutions can actually trust?
Brand Equity Feeds AI Discovery
WARC and LinkedIn both warned that models surface prominence, authority, and trust signals rather than random brand claims.
Creative Tools Need Fine Control
Demis Hassabis emphasized iteration, editing, and increasing possibility, not one-shot output as the point of the creative stack.
Data Has To Change An Outcome
The Creative Data framing rewarded data-native ideas and systems that people or institutions could act upon.
Human Truth Still Sells The Work
The CMOs, Uber, and B2B sessions all separated AI efficiency from the human insight that creates trust, tension, and confidence.
Operating Shifts
What Changes For The Work
Day 3 treated AI as a governance, discovery, commerce, and confidence system rather than a discrete creative asset tool.
From output to infrastructure
AI belongs in the creative operating model.
The question is not whether a team can generate assets, but whether it has commitment, structure, expertise, and leadership.
Implication
Brief AI as part of creative infrastructure, with explicit human review, incentives, and decision rights.
From SEO to model visibility
Brands need signals models can trust.
AI shopping and B2B consideration lists are shaped by cultural prominence, authority, and validated signals.
Implication
Build brand equity and third-party proof before optimizing wording for AI surfaces.
From automation to possibility
The best tools expand the search space.
Demis framed creative assistants around iteration, fine-grained editing, and the ability to test more directions.
Implication
Judge AI tools by control, reversibility, and creative risk-taking, not just speed.
From dashboards to data-native ideas
Data should unlock the idea itself.
The awards framing asked whether the idea could exist without the data and whether the data changed an outcome.
Implication
Separate data proof from data creativity; reward the latter only when data changes what people can do.
Strategy Implications
Where Leaders Should Look
Wednesday's AI sessions point to a practical agenda for CMOs, agencies, B2B teams, product leaders, data teams, and creative technologists.
Put senior creative expertise into AI workflow design, not only campaign review.
Build brand fame, relevance, and authority so AI shopping agents can surface the brand credibly.
Stack recommendations, relationships, and relatability so buying groups and LLMs can defend the choice.
Treat cyber, bad actors, provenance, and model reliability as part of the AI brief.
Use data to create systems of action, not only proof slides or targeting logic.
Train teams in the creative use of AI, but make judgment, taste, and refusal explicit skills.
Look for changed behavior, confidence, and outcomes, not only production efficiency.
Develop tools with creators and domain experts instead of handing them finished systems.
Session Evidence
The Strongest Proof Points
These Day 3 sessions carried the clearest AI, generative AI, data, agentic commerce, LLM discovery, and creative-technology signals.
02
Applied Creativity
AI Needed Creative Infrastructure
Accenture Song put AI inside a broader system of commitment, structure, expertise, and visible creative leadership.
"AI will never replace creativity."Ndidi Ote
- The strongest organizations hold art, science, brand, demand, human, and machine together.
- Creativity was treated as a business infrastructure problem, not only a campaign function.
- The gap between ideas and growth pointed to process, incentives, and leadership.
08
Creative Impact Unpacked
AI Search Made Brand Equity Commercial
WARC warned that AI and agentic commerce compress decisions, while surfacing brands that already have cultural and query relevance.
"Brand is actually gonna be more important in an AI era, not less."Aditya Kishore
- AI users are making shopping decisions faster and with more confidence.
- Agentic commerce could reduce human decision time even further.
- Performance marketing hits a plateau without brand investment to create future demand.
09
Our World of Contradictions
Data Had To Separate Noise From Reality
The American Eagle example showed polling and business data helping a brand distinguish social backlash from wider customer response.
"You need polls to understand the America you don't know."Mark Penn
- The campaign appeared to face online cancellation while sales and acquisition signals were healthy.
- Polling gave the team courage to keep reading the room instead of reacting to one signal.
- The broader lesson was to test marketer assumptions against actual customer behavior.
11
The Future of Creativity with Demis Hassabis
Creative AI Still Needed The Human Mind
Hassabis separated current AI capability from AGI, naming missing pieces and arguing for tools that expand human creativity.
"I'm a huge believer in human ingenuity and human creativity."Demis Hassabis
- Long-term planning and true creativity were named as missing AGI capabilities.
- AI's highest public-value use was science and health, including drug discovery.
- Creative tools should allow fine-grained iteration instead of replacing the entire process.
13
Cracking B2B Creativity
LLMs Followed Human Trust Signals
LinkedIn and ServiceNow connected B2B confidence to the same signals that LLMs use to synthesize consideration lists.
"Brand is what gets you on the day one list."Jim Lesser
- B2B buying groups need recommendations, relationships, and relatability to defend a decision.
- LLMs are also looking for high-authority, distributed, validated signals.
- ServiceNow used characters, humor, and retargeted depth to make AI infrastructure memorable.
17
Wednesday Awards Show
Data And AI Had To Create Action
Creative Data, Social and Creator, PR, Direct, and Media winners rewarded systems people could use, verify, or participate in.
"It used data to change an outcome."Creative Data jury commentary
- Data-native work was judged by what data unlocked, not only what it proved.
- Kit Kat Heist turned a missing batch into barcode checking, social conversation, and retail behavior.
- The awards reinforced that technology only mattered when it moved people into action.
Decision Checklist
What To Do With This
The Day 3 AI response is to turn capability into trusted systems that humans can guide, defend, and improve.
Define who approves, rejects, tunes, and is accountable before scaling AI output.
Invest in authority, community validation, and cultural prominence that AI surfaces can trust.
Prioritize tools that help teams iterate and take creative risks without losing fine control.
Ask what the data lets people or institutions do differently, not only what it lets you target.