Week 42 – 2026
Reporting window: 7 October – 18 October 2026

The Big Picture: AI Is Changing Marketing’s Operating Model, but Trust and Measurement Remain Critical

This week’s developments point to an important transition in marketing leadership: artificial intelligence is moving beyond individual tools and becoming part of how organisations structure teams, manage media investment and interact with customers.

At the same time, Apple’s latest privacy changes are challenging established advertising infrastructure, while retailers such as Tesco and Lowe’s are building increasingly sophisticated media businesses around their customer relationships and first-party data.

The common thread is control. Who controls customer access, marketing intelligence, advertising performance and the technology making decisions?

For brand leaders, the challenge is no longer simply adopting AI or acquiring better technology. It is developing the organisational capabilities, measurement frameworks and customer relationships needed to use these technologies responsibly and effectively.

1. AI Leadership: High-Performing Marketing Organisations Are Restructuring Around AI

What happened

Research reported by Marketing Week on 13 October suggests that marketing leaders in high-performing organisations are four times more likely to restructure their operations around AI.

They are also twice as likely to work with a centralised AI roadmap compared with lower-performing organisations.

The findings suggest that AI maturity increasingly involves organisational design rather than simply access to technology.  

Why it matters

Many organisations are approaching AI through disconnected experiments, with individual departments adopting tools independently.

The emerging distinction is between organisations using AI to accelerate existing processes and those redesigning how marketing operates.

For CMOs, this raises important questions about investment priorities, governance, capabilities and accountability.

BLC perspective

AI transformation should be considered an organisational development challenge, not simply a technology implementation.

The potential competitive advantage may come less from which AI platform an organisation selects and more from its ability to connect people, processes, data and decision-making.

An important question for marketing leaders is whether their organisations are genuinely developing new capabilities or simply automating existing inefficiencies.

What to watch

Whether organisations begin measuring AI success through business outcomes and organisational effectiveness rather than productivity gains alone.

Source:
Marketing Week — High-performing marketing leaders and AI restructuring⁠

2. Apple’s Privacy Changes Challenge the Open Advertising Ecosystem

What happened

Apple’s iOS 27 and WebKit changes have reportedly disrupted advertising identifiers used by several major AdTech providers.

Companies affected include The Trade Desk, LiveRamp, ID5 and Permutive.

The changes have raised concerns about the ability of advertisers to identify audiences and measure campaign effectiveness across the open web.  

Why it matters

This development highlights the growing influence of platform owners over advertising infrastructure.

When a technology provider controls the browser, operating system or customer interface, its decisions can significantly affect the economics of digital advertising.

For brands, the consequences could include reduced addressability, more complex measurement and increased dependence on platforms with substantial first-party data.

BLC perspective

Privacy protection and advertising effectiveness should not be treated as opposing objectives.

The more important strategic question is how the industry develops transparent, privacy-respecting methods for understanding marketing effectiveness.

For brands, this reinforces the importance of investing in first-party customer relationships, independent measurement and data strategies that are resilient to platform changes.

It also raises a difficult question: can an advertising ecosystem remain genuinely open when a small number of technology companies control its infrastructure?

What to watch

How AdTech providers respond technically and commercially, and whether regulators examine the competitive implications of Apple’s changes.

Source:
Business Insider — Apple privacy changes disrupt digital advertising⁠

3. Retail Media: Lowe’s Expands Beyond Its Own Shopping Channels

What happened

On 13 October, Lowe’s announced expanded capabilities for its retail media network.

The home improvement retailer is extending advertising opportunities to platforms including Roku, DoorDash, Reddit, TikTok and YouTube.

It is also developing measurement and optimisation capabilities, including incrementality-focused tools, to demonstrate advertising effectiveness.  

Why it matters

Retail media is evolving beyond advertising placements on retailer websites and applications.

Retailers increasingly want to become advertising intelligence partners, connecting customer purchasing information with media activation across multiple channels.

This creates new opportunities for brands to target relevant audiences and measure outcomes closer to actual purchasing behaviour.

However, it also introduces challenges involving attribution, measurement consistency and the growing number of retail media platforms competing for investment.

BLC perspective

Retail media’s long-term value will depend on whether it can demonstrate incremental business outcomes rather than simply attribute sales to advertising exposure.

The industry risks reproducing the measurement fragmentation already experienced across digital advertising.

For marketing leaders, the question should be whether retail media creates additional customer demand or simply provides another way of monetising customers who were already likely to purchase.

What to watch

Whether retailers adopt more consistent incrementality standards that allow advertisers to compare performance across retail media networks.

Source:
Marketing Dive — How Lowe’s is building and measuring a full-funnel media network⁠

4. Tesco Brings Creator Marketing Into the Shopping Experience

What happened

Tesco announced plans to integrate influencer and creator content into its retail media offering.

The initiative will bring creator-led campaigns into Tesco’s website, application and in-store digital screens.

The retailer is also investing in AI-supported advertising management and audience planning to create a more integrated media proposition.  

Why it matters

Creator marketing has traditionally focused on building awareness, engagement and consideration through social platforms.

Tesco’s approach connects creator content directly with environments where customers make purchasing decisions.

This potentially reduces the distance between brand inspiration and commercial action.

It also demonstrates how retailers are increasingly competing with traditional media platforms for brand advertising budgets.

BLC perspective

The distinction between brand building and performance marketing continues to become less clear.

Creator content can build familiarity and trust, while retail media provides proximity to purchasing behaviour.

However, proximity to purchase does not automatically demonstrate that advertising created additional demand.

Brands will need to understand how these experiences influence both immediate purchasing decisions and longer-term brand preference.

What to watch

Whether creator-led retail campaigns demonstrate incremental sales and sustained brand effects compared with traditional retail media formats.

Source:
Marketing Week — Tesco brings influencer content into store⁠

5. Google Gives Advertisers More Visibility Into AI-Driven Campaign Decisions

What happened

On 13 October, Google began introducing a new reporting capability for AI Max Search campaigns.

The Search terms and ad combinations report allows advertisers to examine how search queries, advertising messages and landing pages are combined.

The reporting also provides information about the mechanisms used to match advertisements with searches.  

Why it matters

As advertising platforms introduce more automation, marketers are increasingly delegating decisions about targeting, creative combinations and campaign optimisation.

This creates operational efficiencies but can reduce transparency.

The new reporting capabilities represent an effort to provide advertisers with greater visibility into decisions made by automated systems.

BLC perspective

Automation without transparency presents a fundamental challenge for marketing accountability.

Marketing leaders remain responsible for business outcomes even when campaign decisions are increasingly made by algorithms.

The ability to understand, question and evaluate automated decisions should therefore become an essential requirement when selecting marketing technology.

The objective should not be to eliminate automation but to ensure that human judgement remains informed and effective.

What to watch

Whether greater reporting transparency leads to better campaign decision-making or simply provides more data without improving accountability.

Source:
Search Engine Land — Google Ads adds Search terms and ad combinations reporting⁠

6. Marketing Measurement: A Reminder That Attribution Is Not Business Performance

What happened

A case study published by AdExchanger on 12 October examined how golf equipment company PureOne reconsidered its marketing measurement approach.

The business had struggled to reconcile performance figures across advertising platforms and its ecommerce operations.

Its experience highlighted a familiar problem: different platforms can claim credit for the same customer outcomes, making it difficult to establish which marketing investments are genuinely effective.  

Why it matters

Marketing measurement continues to be one of the most important challenges facing organisations investing in digital advertising.

Platform-reported performance can be useful for operational optimisation but may not accurately reflect incremental business value.

This becomes increasingly important as AI systems automatically optimise campaigns against platform-defined objectives.

BLC perspective

Marketing leaders should distinguish between measuring advertising activity and measuring marketing effectiveness.

The availability of detailed dashboards does not necessarily mean organisations have a reliable understanding of what drives growth.

A stronger measurement strategy combines platform data with commercial outcomes, experimentation and independent analytical methods.

The fundamental question is whether an organisation is measuring the performance of its advertising systems or the actual contribution of marketing to business growth.

What to watch

Growing adoption of incrementality testing, marketing mix modelling and independent measurement approaches.

Source:
AdExchanger — How This Golf Training Brand Fixed Its Subpar Attribution⁠

BLC RADAR

Three Developments Worth Watching

1. AI-generated advertising and brand distinctiveness

As AI makes content production faster and more accessible, the risk of creative similarity becomes more important. Recent industry discussions have questioned whether greater production efficiency necessarily produces more effective brand communication.

The emerging challenge is maintaining distinctive brand identity while scaling content production.

Source:  Marketing Week — AI and the beige trap of creativity⁠

2. AI-driven shopping assistants

TikTok’s introduction of an AI shopping assistant points towards a future where consumers increasingly discover, compare and purchase products through conversational interfaces.

This could fundamentally change how brands approach product information, search visibility and digital commerce.

Source:  CDP Institute — October 2026 MarTech developments⁠

3. Brand investment during 2027 budget planning

Recent industry commentary highlights the challenges facing B2B marketers seeking investment in long-term brand development.

As organisations prepare 2027 budgets, demonstrating the commercial value of brand investment remains a critical leadership capability.

Source:  Marketing Week — B2B marketers and securing brand investment⁠

QUESTION FOR THE COMMUNITY

As AI takes over more marketing decisions, what should remain firmly in human hands?

AI is increasingly influencing media investment, audience targeting, creative development and customer engagement.

But greater automation also raises questions about transparency, accountability and the role of human judgement.

Where should marketing leaders draw the line between decisions delegated to AI and decisions that require human expertise?

This question could provide the basis for a Brand Leadership Community LinkedIn discussion, webcast or executive roundtable.

HOMEPAGE OVERVIEW

HOMEPAGE HEADLINE

AI, Accountability and the Changing Rules of Marketing

HOMEPAGE OVERVIEW

This week, marketing’s transformation is becoming an organisational challenge rather than simply a technological one. New research connects AI adoption with organisational restructuring, Apple’s privacy changes challenge advertising infrastructure, and retailers expand their media ambitions. This Week in Brand Leadership explores what these developments mean for marketing accountability, measurement and competitive advantage.

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EDITORIAL DISCLAIMER

The “BLC perspective” sections provide general editorial commentary for information and discussion only. They do not constitute professional advice tailored to your circumstances. Readers are responsible for independently assessing the information and obtaining appropriate advice before acting. To the fullest extent permitted by applicable law, Brand Leadership Community (BLC) accepts no liability for any loss or damage arising from reliance on these perspectives or actions taken on their basis.

ABOUT AI AND THIS BRIEFING

This Week in Brand Leadership is produced with AI assistance using a consistent BLC editorial framework. Alongside current research, the process draws on historical insights from Brand Leadership Community interviews, events, articles and practitioner discussions. AI supports research, analysis and synthesis, while the editorial perspective is shaped by BLC’s accumulated community knowledge and judgement.