Sean and Cameron discuss Anthropic’s move to watermark AI-generated text and whether audiences will reject content once they know a model helped create it. The conclusion: context matters. AI assistance is acceptable for sharpening an argument, but it feels very different when used for something requiring genuine human care.

They also explore:

• Why clear thinking will become more valuable as AI produces more content

• Whether businesses are moving away from the newest, most expensive models

• Why model-routing platforms such as OpenRouter could become essential infrastructure

• The rapid growth of Chinese models among American businesses

• Meta’s attempt to bring vibe-coded games into social feeds

• Why distribution—not development—is becoming the barrier to building successful apps

• Whether developers must evolve into product thinkers

• How Lovable could become the Shopify of software development

• Why Omnicom outsourcing parts of its AI platform raises questions about its technology moat

• What Google could gain from buying an airline’s data out of bankruptcy

Vibe coding may still sound like a shortcut to some people. But as AI takes over more technical execution, taste, judgement, distribution and understanding what people actually want become the valuable skills.

Sean and Cameron sit down with Zaeem Bhanji, co-founder and CEO of Yolodex and former AI research and ads product lead at Meta, to explore what this means for media buyers, creative teams and agencies.

They discuss:

- Why the skills of traditional Meta media buyers were built for a world that no longer exists

- How psychographic personas can replace demographic targeting

- Why marketers are automating creative production when they should be automating customer research

- How Yolodex turns customer data and advertising performance into creative opportunities

- Why AI-generated content can damage trust and brand authenticity

- Whether Meta will eventually create, target and optimise entire campaigns

- Why 90% of advertising may be automated while the exceptional 10% becomes more valuable

- Whether creative strategists will replace media buyers as advertising’s most sought-after talent

- What AI means for agencies, employment, energy costs and the wider economy

The ability to generate thousands of adverts is no longer an advantage. The real advantage is understanding which customers matter, what they want and which creative will reach them.

AI-generated video is moving from novelty to genuine creative tool. But is it ready to transform filmmaking and advertising?

Sean and Cameron put Higgsfield’s latest capabilities to the test, creating cinematic scenes, personalised videos and complete product adverts from simple prompts.

They explore:

• Why Pixar co-founder Ed Catmull’s involvement gives AI filmmaking new credibility

• Whether storytelling becomes more valuable as actors become replicable

• Sean’s prediction that Paramount could acquire Higgsfield

• How convincingly AI can recreate Cameron inside different scenes

• Why smaller brands can now produce advertising previously reserved for major budgets

• How agencies could use AI to develop, storyboard and validate concepts

• Why imperfections still prevent many AI adverts from being production-ready

• Whether smart brands will respond to infinite content by deliberately creating less

  
  

When everyone can produce more creative for less money, volume stops being the advantage. Taste, storytelling and knowing what deserves to be made become the real differentiators.

Nielsen has agreed to acquire DoubleVerify in a $2.15 billion all-cash deal - but does combining two measurement businesses create something genuinely more valuable?

Richard Cavill joins Sean and Cameron to give their immediate reactions. Rich sees a natural fit between Nielsen’s strength in TV measurement and DoubleVerify’s verification capabilities, while Cameron questions whether the commercial upside can satisfy the demands of private-equity ownership.

They also discuss:

• Disney allowing TikTok creators to use its characters and the risk of losing control of its IP

• How generative video could produce an entirely new type of filmmaker

• Why HBO Max, Netflix and Disney are becoming obsessed with short-form video

• PubMatic’s decision to retire OpenWrap for the web while retaining its mobile SDK

• Whether declining web traffic will accelerate advertising’s shift towards apps

• A future in which AI replaces websites and apps as the primary consumer interface

• What smart glasses, AR and VR could mean for media buying

• Why audio, video and out-of-home may survive the decline of traditional display

  
  

The interfaces may change completely, but attention will still need to be earned and monetised.

Sean and Cameron explore Amazon’s unique advantage: it owns the audience’s attention, purchase intent, transaction data and much of the inventory - while its wider commerce and logistics infrastructure closes the loop.

They also discuss:

• Why gaming attracts just 2.3% of US digital ad spend despite having three billion players

• Whether Xbox advertising could help bring the price of games back down

• How brands can enter gaming without disrupting the experience

• Microsoft’s overlooked advertising assets across Xbox, LinkedIn and Xandr

• Why Adidas’s record sales matter more than its short-term share-price fall

• What Nike’s performance-marketing obsession teaches us about neglecting brand

• Why Amazon’s technology and user experience remain its biggest weaknesses

  
  

Google and Meta sell attention. Amazon can see when someone is ready to buy—and prove what happened afterwards.

01:50 — Can Xbox finally close gaming’s advertising gap?
07:58 — What good advertising inside games actually looks like
11:39 — Microsoft’s overlooked advertising empire
12:46 — Adidas, record sales and the case for brand investment
18:58 — Amazon’s $76 billion advertising machine
23:57 — Does Amazon have the best proposition in advertising?

AI in programmatic advertising didn’t begin with ChatGPT. Machine learning has powered bidding engines for years, but LLMs are now transforming how the people around those systems work.

Sean Halpin and Cameron Armstrong sit down with Puneet Gupta, co-founder and Chief Product Officer at Kayzen, to explore the two sides of advertising’s AI evolution: the specialist models making real-time bidding decisions and the agentic tools reshaping workflows, product development and campaign management.

They discuss:

• How Kayzen uses internal MCPs to make complex data accessible without SQL
• What the programmatic trader’s workflow could look like in a few years
• Why LLMs won’t replace specialist bidding engines anytime soon
• How AI is accelerating product development and model experimentation
• Why AI proficiency must be demonstrated by leadership—not delegated to an “AI lead”
• How Kayzen’s traders built their own campaign analysis agent
• Why transparency, proprietary data and performance matter more than simply adding an AI interface
• The litmus test every AI founder should apply to their business

Puneet’s test is simple: if the next frontier model becomes three times better and half the price, does that strengthen your business or make it obsolete?

An AI agent escaped its test environment—not because it became evil, but because it followed an incomplete instruction too well. What happens when the same technology controls a £10 million advertising budget?

Sean and Cameron discuss the guardrails autonomous media-buying agents will need, from spending limits and human approval to genuine measures of incrementality.

They also explore whether OpenAI is quietly building an advertising network across publisher sites, why AI tokens could become the agency world’s new cloud bill, and Google’s strange week: disappointing model benchmarks alongside extraordinary growth across Search, YouTube and AI Mode.

Plus, The Odyssey, the return of big-screen cinema and where AI genuinely fits into filmmaking.

Chapters:

00:08 — The Odyssey, the power of cinema and AI filmmaking
10:16 — ChatGPT’s model escape and lessons for advertising agents
19:07 — Is OpenAI building an advertising network?
27:36 — Agency report: Havas, PMG and the cost of AI tokens
32:01 — Google’s good—and bad—week

OpenAI has declared itself an advertising business. But can it turn ChatGPT into a Meta-scale ad platform without damaging the product that made it valuable?

Sean Halpin and Cameron Armstrong sit down with commerce media expert Paul Wright to unpack the biggest signals from Cannes: Amazon’s agentic Alexa ads, Walmart’s move into self-serve CTV and OpenAI’s ambition to build a serious advertising business.

They discuss:

• Why OpenAI’s early revenue figures need context
• Whether ChatGPT advertising looks more like search or display
• The challenge of making the model work for millions of SMEs
• Whether advertising can cover the enormous cost of running AI
• Why appointing a “Head of AI” doesn’t constitute an AI strategy
• How leaders can build adaptability, experimentation and genuine AI literacy
• Why redesigning a company around AI shouldn’t simply mean cutting jobs
• The continuing value of first-party data

Open-weight AI models are closing the gap on the frontier - but if the models become interchangeable, where does the real value sit?

Sean and Cameron unpack the arrival of Kimi K3, Reddit’s risky decision to license its community data to AI companies, and Arthur Sadoun’s claim that Publicis “never wanted to be an AI company”.

They then map the emerging agentic advertising stack - from context and strategy through to creative, activation and measurement and ask whether agencies will remain service businesses or become the operating systems running their clients’ marketing.

Plus: why taste becomes more important when anyone can create anything, whether Reddit’s human conversations can survive an internet of synthetic content and which part of AdTech OpenAI should acquire next.

For our first guest episode, Sean Halpin and Cameron Armstrong sit down with Sean Betts, Chief AI and Innovation Officer at Omnicom Media UK, to separate the reality of AI from the industry hype.

Sean explains why “super agents” and agent swarms are largely a distraction, why infrastructure remains the biggest barrier to adoption, and what advertising can learn from the transformation already happening in software engineering.

We also explore:

• The operating, skills and world-model layers of an AI-native company
• Why AI productivity doesn’t automatically mean fewer jobs
• Ads generated inside the media buy in real time
• Using synthetic audiences to test campaigns before spending anything
• How advertising inside ChatGPT and other LLMs could work
• Whether Google and Apple ultimately win the AI race
• The best way for anyone to start using AI today

A practical look at where AI actually stands—and what agentic advertising could become over the next decade.