Episodes

Niall McKinney: The Content Engine

Niall McKinney, Founding Partner of The Creative Engineers, on why marketers have to build a better content model to produce more without losing brand or craft, and why AI has finally become the catalyst that makes it possible.

Apple Podcasts Spotify
 ·  The Business of Marketing  · S5 E103  · 32 min
Read the interview

"AI seems to be moving so quickly at the moment, the only way to keep up is to be unemployed."

The Conversation

From P&G, Time Warner and Travelocity to a digital transformation agency, an e-commerce AI startup and now a week-old consultancy, McKinney has spent a career watching marketers chase granular targeting they could never feed with enough content. His argument here: the missing piece was never the media, it was the content, and generative AI has finally arrived to solve it.

McKinney began in marketing at P&G, Time Warner and Travelocity before running a digital transformation agency called The Knowledge Engineers, which he sold in 2017 to a buyer he refers to as Evardo. After leaving, he moved into AI early, working with an e-commerce AI startup called Black Crow that raised money in 2021 and again in 2022 to capture intent using machine learning. Across all of it he kept hitting the same wall: marketers could target audiences in ever more granular ways through digital media, but they never had enough content, purposed the right way, to take advantage of it. When generative AI arrived, he saw the answer to a problem he had chased for 10 or 15 years, and with three partners, Helen, Chris and Morgan, he launched The Creative Engineers, pairing classical production methods with his understanding of AI.

In this conversation with host Justin, McKinney argues that marketers are asked to produce ever more content on flat budgets, and that the fix is a better content model connecting people, processes and tools, with AI as the catalyst. He is blunt that this is not mass production: quality and brand have to survive the scale-up. He walks through where the real impact sits, from automating thankless brand guardianship to synthetic talent that lets a fashion brand enter a new market without a fresh shoot, and warns against three-year vendor deals in a world moving this fast. On creativity he draws a hard line between using AI to explore a problem and simply copying and pasting an answer. His verdict on that shortcut is unsparing: there's using AI, and then there's just being bloody lazy.

Key Takeaways

  • McKinney's career runs from P&G, Time Warner and Travelocity through The Knowledge Engineers, a digital transformation agency he sold in 2017, into early AI work at the e-commerce startup Black Crow, and now to The Creative Engineers, a consultancy he founded with three advertising and marketing veterans. The through-line is a single recurring problem: media kept getting more granular, but content could never keep up. He describes generative AI as the answer he had been waiting on for 10 or 15 years.
  • The core thesis is that marketers are always asked to market more, never less, while budgets stay flat. The answer is not more spend but a better content model that connects people, processes and tools, with AI as the catalyst to lift both volume and quality. McKinney's differentiator is implementation: not slides and a handshake, but sitting in the client's office, writing job descriptions, training teams on tools and putting AI guardrails in place over three, six or 12 months.
  • He identifies the last four months as an unusually accelerated period, when platforms like Claude, Claude CoWork and Writer.com let marketers build agentic workflows without expert prompting. Unlike previous waves that mostly touched the media side, this one lands squarely on creative, and across more modalities: text, then images, and now, he believes, high-quality AI-generated video.
  • On real impact, McKinney splits it into operational efficiency and creative velocity. Automating 50 to 70 per cent of brand guardianship gives immediate feedback to submitters and frees brand teams to do the work they care about. On the creative side, synthetic talent and shoots let a fashion brand version thousands of product pages for a new market like Thailand without a physical shoot, always, he insists, with brand and creative guardrails in place.
  • On people and creativity, McKinney bets on mindset over skill set: critical thinking, iteration and persistence matter more than any coding discipline, and managers are the key catalysts because they understand the workflows. He also draws a sharp line on creative use: AI should help you explore a problem and give you a starting point your judgement turns into a great answer, not solve the brief for you. The alternative, in his words, is just being bloody lazy.

Topics Covered

  1. 01 Building a better content model
  2. 02 AI as a creative catalyst
  3. 03 Automating brand guardianship
  4. 04 Synthetic talent and versioning
  5. 05 Mindset over skill set

Key Exchanges

05
01 A CMO told me every agency response to a brief mirrored the same AI output. How do we move on from this?

We're looking for AI to help us explore the problems, help us explore approaches to the problems

It is so obvious you will get caught, like pasting ChatGPT text with the em dashes still in. In creativity we are not looking for AI to solve the problems for us; we want it to help us explore the problems and approaches, and to get started. If you just ask for five ideas, they will not be good. But break it down: use a planning agent to understand the consumer, take a methodology you trust and accelerate it, then use AI as a creative partner to build on your ideas. Then you impose your judgement and taste. It gives you a starting point a human can turn into a great answer.

02 What is particularly different about this time?

it's moving more quickly, and it's impacting different places in marketing than kind of previous transformations did

Speed. The last four months have been unbelievably accelerated in the impact of gen AI on marketing teams. Before, building good use cases needed real prompting expertise; now platforms like Claude, Claude CoWork and Writer.com let marketers build agentic workflows out of the box. And the nature has changed: digital and machine learning mostly touched media and barely touched creative. Now the impact on creative is very big, across more modalities, from text to images to, I think this year, high-quality AI-generated video.

03 How do I make an AI investment case to my manager or board?

getting the direction right is maybe a bit more difficult

Show and tell. Most of the C-suite already know how fast the world is changing, so the problem usually isn't a lack of interest, it's the wrong lens. If your entire focus is cutting costs, that is possible, but is it the best use of AI in your business? Think through where the value is, what tools you need, and show them things you have built without confidential data. It is not a hard pitch, because they are reading the FT and analysts are asking about AI on every call. Getting the direction right is the harder part.

04 What fundamentals does the next generation of the workforce need?

critical thinking is a- absolutely essential

Coding and computer science are no longer vertical disciplines you must master; my family built an app and none of us can code or design. What matters is critical thinking: assessing what an LLM returns, knowing you have to iterate, and persistence, because things will fail. The AI engineers we forward deploy have no traditional computer science background but are among the most accomplished users of ChatGPT and Claude Code, because they worked hard at it. It may be more of a mindset than a skill set.

05 How do you identify the right tools when they can be leapfrogged so quickly?

you have to personally engage with those tools. You have to use them.

It is a real challenge. If you used to sign three-year vendor deals, you shouldn't now; one-year rolling contracts should be the maximum, so you can switch without a penalty. Watch communities and look for people demonstrating real use cases, and remember corporate adoption lags because tools must be compliant and robust on copyright. But the biggest thing is that you have to personally engage with the tools and use them, with a team who are also inspired to experiment, or you get left behind.

S5 E103Season & Episode
32 minDuration
4 Founding partners at The Creative Engineers
2017 Year he sold The Knowledge Engineers

"there's using AI, and then there's just being bloody lazy."

Hear Niall on
The Business of Marketing
Season 5 Episode 103 32 min
Apple Podcasts→ Spotify→ Niall's full profile→ Niall on LinkedIn→

Keep Reading