AI is accelerating change at a pace most organisations have never had to manage before. For marketers and business leaders, this is not just another wave of innovation. It is a fundamental shift from linear change to exponential change, where familiar planning cycles, transformation programmes, and long-term roadmaps start to break down.

In this episode of The Digital Marketing Podcast, Daniel Rowles is joined by Geoff Tuff, Consulting Principal at Deloitte and co-author of Hone: How Purposeful Leaders Defy Drift. Together, they explore why traditional transformation initiatives fail so often, and what leaders can do instead to build organisations that continuously adapt without losing their sense of direction. Drawing on real-world examples, behavioural science, and lessons from Geofff's latest book, the conversation reframes change as an ongoing discipline rather than a one-off event, and offers a practical way to respond to the disruption created by AI and other exponential forces .

Why AI represents a shift from linear to exponential change, and why this makes traditional planning models fragile

Why large-scale transformation programmes fail so frequently, and the hidden costs they create for organisations

The concept of "drift" and how companies slowly move away from their original purpose without realising it

The difference between sharpening and honing, and why constant realignment beats radical reinvention

How leaders can "bake in" innovation so it becomes urgent, not just important

Why behaviour, not technology, is the real engine of change inside organisations

The role of management systems as the invisible drivers of culture and decision-making

What Minimally Viable Moves are, and how they help organisations adapt without overcommitting

Lessons from Amazon and Jeff Bezos on designing systems that reinforce the right behaviours

How informal signals from senior leaders can unintentionally shape priorities and outcomes

Exponential change makes waiting for the perfect moment to transform a dangerous strategy

Most organisations drift off course through accumulated small decisions, not dramatic failures

Honing is about continuous, incremental alignment rather than destructive overhauls

Leadership power lies less in vision statements and more in the systems that guide everyday behaviour

Small, testable moves reduce risk and keep organisations responsive in uncertain environments

What leaders praise, question, or ignore can matter more than formal strategy documents

Staying aligned to purpose requires constant attention, not periodic transformation projects

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/dealing-with-exponential-change-leading-in-an-ai-driven-world

The generative AI landscape has shifted again, and at speed. In this update episode, Daniel Rowles breaks down a rapid sequence of releases from OpenAI and Google, explaining what has actually changed, what genuinely matters, and how marketers and business leaders should respond.

Covering everything from ChatGPT 5.x and Gemini 3 through to image generation breakthroughs, AI-powered apps, and the rise of accessible 'vibe coding', this episode is a practical briefing rather than hype-driven commentary. Daniel focuses on real-world capability, usability, and where these tools are already changing how marketing teams work, build, and analyse.

Rather than asking which model is "winning", the episode reframes the question around task-based selection. Different tools now excel at different jobs, from coding and image editing to workflow automation and reporting. Understanding those strengths is quickly becoming a competitive advantage

How the AI model race intensified between OpenAI and Google at the beginning of 2026

What actually changed with ChatGPT 5.1 and 5.2, beyond the headline claims

Why Gemini 3 represents a major leap in reasoning and coding capability

How image generation tools have crossed a new threshold in photorealism and editing

What Nano Banana Pro means for branded, on-style visual creation

Why ChatGPT connectors becoming "apps" is more important than it sounds

How tools like Canva, Adobe, and Figma now integrate directly into AI workflows

What vibe coding really is, and why it matters for non-technical marketers

How canvas mode transforms the way code, content, and interfaces are created

Why AI-powered browsers and agent modes could redefine reporting and analysis

No single AI model is best at everything, and choosing by task is now essential

Image editing and brand-consistent visuals are becoming dramatically more accessible

Marketers can now create interactive tools and content without traditional development

AI-assisted coding is shifting from novelty to practical everyday use

Workflow automation and reporting are emerging as some of the biggest wins

Understanding interfaces and deployment matters as much as model intelligence

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/generative-ai-update-what-the-latest-model-wars-mean-for-marketers

Search is changing fast. With AI overviews now appearing in the majority of Google results, the rules of visibility are being rewritten in real time. In this episode, Daniel Rowles explores what answer engine optimisation actually means in practice, and how marketers can adapt without chasing myths, hacks, or constantly shifting theories.

Drawing on real testing from Target Internet over the past year, this episode cuts through the noise around GEO, AEO, and SEO to focus on what genuinely works. The result is a practical framework for improving visibility both in traditional organic search and within AI-powered results, particularly Google's AI overviews. If you are worried about falling click-through rates, changing user behaviour, or how large language models decide what to reference, this episode provides clear, grounded guidance.

Rather than treating AI search as a black box to be cracked, Daniel reframes it as a probability system influenced by clarity, credibility, and consistency. The five techniques covered here are designed to future-proof your content strategy while still delivering value to real users today.

Why the industry cannot agree on GEO vs AEO, and why the distinction matters less than you think

What current data tells us about AI overviews, click-through rates, and changing search behaviour

How question-led content aligns with the way people now search using AI

Why inverted pyramid writing is suddenly more important than ever

How digital PR and brand mentions influence entity reputation in AI systems

The growing role of advocacy, reviews, and online sentiment in visibility

Why multimodal content is becoming a core ranking signal, not a nice-to-have

How schema markup removes ambiguity for search engines and large language models

Where to focus your effort while Google's AI results are still evolving rapidly

Answer engine optimisation overlaps heavily with traditional SEO, so doubling down on fundamentals is still smart

Clear, direct answers to specific questions improve your chances of being referenced by AI

Brand visibility is no longer just about links, but about being mentioned in the right contexts

Positive sentiment and third-party validation increasingly influence AI recommendations

Publishing content in multiple formats strengthens your overall search footprint

Structured data helps machines understand your content, and humans engage with it more easily

📥 Access the show notes, tools, and links at: https://targetinternet.com/resources/answer-engine-optimisation-aeo-how-to-optimise-for-google-ai-overviews