My interest in business or commercial activity first started when a work friend of my Mum visited our family. She brought a book on commerce which is what business studies would have been called decades earlier. I read the book and that piqued my interest.
At the end of your third year in secondary school you are allowed to pick optional classes that you will take exams in. this is supposed to be something that you’re free to chose.
I was interested in business studies (partly because my friend Joe was doing it). But the school decided that they wanted me to do physics and chemistry instead and they did the same for my advanced level exams because I had done well in the normal level ones. School had a lot to answer for, but fortunately I managed to get back on track with college.
Eventually I finally managed to do pass a foundational course at night school whilst working in industry. I used that to then help me go and study for a degree in marketing.
I work in advertising now. And had previously worked in petrochemicals, plastics and optical fibre manfacture. All of which revolve around business. That’s why you find a business section here on my blog.
Business tends to cover a wide range of sectors that catch my eye over time. Business usually covers sectors that I don’t write about that much, but that have an outside impact on wider economics. So real estate would have been on my radar during the 2008 recession.
This section on AI search is largely down to Rowan Kisby’s observations over at LinkedIn. I worked with Rowan when I was her client at Unilever, super-smart, can’t recommend her enough. Now on to AI search: Google has looked to augment its web search in a more obvious way with generative AI providing ‘AI search’ features.
The AI search features have adversely affected publishers of non-time dependant evergreen content according to Authoritas. This has sparked concern amongst media publishers, but early feedback on IAC and Ziff-Davis shareholder calls indicated little change in traffic numbers. Google claims that AI search feature ‘AI previews’ actually delivers more, rather than less click throughs.
Dr Mike Lynch OBE | Obituary – Sound on Sound magazine cover’s Lynch’s music hardware career which happened before he started Autonomy. The bit that this story misses is how Lynch’s developments helped move forward digital music and affecting electronica during a particularly creative point in culture including house and the rave scene that spun out of it.
I can’t recommend Phoebe Yu‘s content enough, this video on colour, culture and user experience design is a great example of her work.
The Geopolitics of Wine | Peter Zeihan – thanks to increasing costs of capital, aging worker demographics and climate change New Zealand and Australia will do better than Latin American wines and most European offerings except France
Is marketing entering its ‘era of less’? | WARC | The Feed – based on Gartner CMO surveys marketers are increasingly being seen as cost centres and are being asked to do more with less which is affecting mar tech spend, staffing and agency spend.
How to connect offline to China’s Gen Z and Alpha? | Jing Daily – Young Chinese consumers are finding new consumer interests away from blind boxes and claw machines: ‘Guzi’ (谷子) stores. ‘Guzi’, derived from the phonetic English ‘Goods’, describes merchandise featuring popular ACG (animation, comics, and games) characters, including badges, standees, and posters. – China develops it’s take on otaku culture
Welcome to my August 2024 newsletter, this newsletter marks my 13th issue. When I lived in Hong Kong; four was the unluckiest number. 13 featured in confucian beliefs and in tai chi. In western culture 13 has a similar reputation. The status of 13 goes all the way back to Babylonian times. A baker’s dozen contained 13 items; rather than the usual 12 items.
This time last year, I had a daft idea to put together stuff I’ve written, read, been inspired by or have watched that I thought some people might find of interest. Along the way, I shared my Ma’s recipe for a traditional Irish Hallowe’en dish, book recommendations, articles, a review of 2023 and much more.
I spent a good deal of August outside London to recharge and take care of family business. I am now back and getting ready for September.
New reader?
If this is the first newsletter, welcome! You can find my regular writings here and more about me here.
Things I’ve written.
My cousin selling the ‘ancestral’ family farm back in Ireland, got me thinking about roots.
I explored Rob Henderson’s concept of ‘luxury beliefs‘ and other things that I found of interest from around the web.
I looked at some of the themes that have emerged around generative AI in the first half of this year.
Books that I have read.
The Ribbon Queen – I am a huge fan of Garth Ennis as a graphic novel writer and the publication of The Ribbon Queen was the second best news I had received this year since Ennis announced his return to The Punisher series at the beginning of 2024. With The Ribbon Queen Ennis returns obliquely to religion with a tale that sits somewhere between a police procedural and Lovecroftian fiction. Nothing is simple with Ennis and the work touches on themes like police brutality, woke culture, sex trafficking, domestic violence and ancient beliefs.
Part of my love reading comes from my Dad’s library of crime and espionage books. I started reading John LeCarré, Hammond Innes and Alistair Maclean in primary school. Secondary school had me reading Gerald Seymour and Robert Ludlum. Seymour’s work felt more grounded and Harry’s Game during The Troubles felt especially pertinent. Despite being 82 years old Seymour still writes. I haven’t picked up a Seymour novel in decades until I got to read In For The Kill. its the third book in a franchise of Jonas Merrick – a soon-to-retire spook with a love of caravanning and frugality. As a holiday read, I really enjoyed it.
Richard Stark’s Parker is an anti-hero beloved of Hollywood who has appeared in film over years. Richard Stark’s Parker: The Complete Collection is a collection of graphic novel adaptions of The Score, The Outfit, The Score, and Slayground, The Man with the Getaway Face and The Seventh. Stark’s Parker is written with crisp lean copy to match the no-nonsense dark ruthless character. He is at end of America’s hard boiled noir literature like Raymond Chandler or Dashiell Hammett. But Richard Stark’s hero was an armed robber, not a detective. As a genre it was later revived by James Ellroy’s works from the late 1980s on. While Parker has been played on screen by a variety of actors including Lee Marvin and Mark Wahlberg – he is not a character for our times. Darwyn Cooke’s adaption of Parker to a graphic novel format is a 500+ page love letter to mid-century graphic design including vintage newspapers and petrol station maps. It’s a coffee table book that you actually want to read.
Qiu Xiaolong is an American crime writer, who is famous for his character Chief Inspector Chen. In his book Becoming Inspector Chen, was recommended by my friend Ian. The book feels autobiographical in nature. Like Chen, Qiu had studies TS Elliot at university, both had lived through the opening up of China post-Cultural Revolution. Their paths divert when Qiu moved to study in the US and decided to stay there after the ‘June the 4th incident‘. Qiu describes the complex relationships in families due to the Cultural Revolution and the nature of change in China during its opening up phase. The book is an implicit critique of the current Xi administration, as yet again Chen faces the imminent impact of the party machine.
Kara Swisher is a long-time journalist who chronicled Silicon Valley from the dot.com boom onward. In Burn Book Swisher gives us her potted history and hot takes on the people and companies that she tried to report on. I say tried because technology firms have made life difficult for journalists since blogging became a thing and they could go direct to the audience. Swisher came from an unhappy but privileged background and jumped into journalism with gusto. There isn’t anything that surprising in her reporting save how was it so late that Swisher really dialled into how toxic and nihilistic some of her subjects really were? Swisher’s book is more engaging than Fred Vogelstein’s Dogfight, but lacks the wit and panache of Michael Malone’s books or Robert X Cringely’s Accidental Empires.
A bit of aside to the books, I found this article by Dazed Digital quite interesting. Apparently, straight men are much less likely to read novels. I read a mix of fiction and non-fiction as you can probably tell if you are regular reader. If you want fiction recommendations as a start, I have some in an old post I wrote about 50 books I would recommend (scroll down to fiction).
Things I have been inspired by.
Quantum advertising.
Faris Yakob had dropped a banger of an opinion piece on WARC. In quantum advertising Yakob calls out marketing management for optimising to the wrong things and believing that creativity is predictable.
Gartner the research house most famous for its technology reports has taken an in-depth look at return-to-office mandates beloved of large enterprises such as Apple, Amazon or Boeing and Jacob Rees-Mogg. Gartner looked at employee research and HR leaders as part of an up to date research done in May 2024. Any small gains in discretionary effort and employee engagement are wiped out by drops in intent to stay, with the implied disruption and cost cause by employee churn.
Zoë Mann started an initiative that would get some of the newer strategist voices heard.
Things I have watched.
I haven’t watched A Clockwork Orange for a while and revisited it. I am still amazed by the way Kubrick used lighting, Beethoven and the Wendy Carlos soundtrack to such good effect. It also felt much more creative and transgressive than anything one would see at the cinema now. The modernist and brutalist architecture gives it an otherworldly quality now.
I wanted to watch Weathering With You since it came out. I finally got to watch it. The animation is almost as rich as Studio Ghibli and the plot has some fantastical elements of it as well. But the story is grounded in the darker side of Tokyo.
The protagonist is homeless and lives in a net café near the Kabukicho gate that marks the entry to the red light district that is part of Shinjuku ward. In this respect the anime provides a realistic portrayal of a ‘freeter’ – an under-employed young person.
Whatfont is a Google Chrome browser plugin, Safari browser extension and bookmarklet (I use the bookmarklet) that tells you what font’s are on a given web page.
Google Analytics health check
Yes I know GA4 is hateful, but Fresh Egg have put together a template to make a data health check easier to do. Give them your details and download their GA 4 Health Check for free.
Decrapifying LinkedIn
At last a compelling use case for the Arc Browser: as a LinkedIn client. Luddite LinkedIn is a ‘boost’ (think plug-in) cleans out things like AI powered elements of the LinkedIn experience.
Better Reddit and YouTube search
GigaBrain provides an alternative to the broken experience searching on Reddit and YouTube. It’s available via webpage and a Google Chrome browser plugin.
The sales pitch.
I am now taking bookings for strategic engagements, I am available for much of September. Contact me here. I am also open to discussions on permanent roles.
Ok this is the end of my August 2024 newsletter, I hope to see you all back here again in a month. Be excellent to each other and onward into September and the balmy days of an Indian summer!
The AI state of the union H1 2024 post came about as we had a number of trends starting to come into view. To paraphrase Charles Dickens the AI state of the union H1 2024 represented both the best of times and the worst of times in generative AI.
Astro Boy | George Oates
Is the current state of AI analogous to the dot com boom?
In this respect, discussions around a dot com type boom around generative AI are less helpful. The dot com boom didn’t have the same naysayers at the time, aside from what would be now called edge lords worried about money. Like with all economic cycles they would eventually be proved right, but not until we had broadband and shopped at Amazon.
Culturally, we are in a very different, darker place and aren’t riding an economic boom. I have tried to lay out some of the nuances in the themes currently driving AI discussions.
I have broken this down into three themes and a focus on Japan.
Vendor knife fight
Trough of disillusionment
Synthetic data
Japan focus
Right let’s get into The AI state of the union H1 2024.
Vendor knife fight
The AI state of the union H1 2024 sees generative AI being added to products and business plans, in a similar way to being web-enabled in the late 1990s. Spring Apps estimated that there almost 58,000 AI companies.
Microsoft, Alphabet, Amazon and Meta increased their investment in generative AI to $106 billion during the first six months of the year. In addition, Meta is looking to leverage the open source model of software development to drive progress in its Llama model. This echoes, how the open source model and software like Linux, MySQL and PHP were used during the dot com boom and the move to web 2.0 to provide greater efficiencies and possibilities.
Some applications such as Adobe Creative Suite has become much more powerful thanks to adding generative AI. Alphabet has finally had generative AI companies parked on its front lawn. Open AI joined Perplexity in providing a search product.
Apple came up with Apple Intelligence that provides a platform and front end for a mix of generative AI models. Microsoft has Co-Pilot that it has been selling to enterprises.
Financial institutions have led the charge to try and get productivity gains such as JPMorgan’s IndexGPT and the continued automation of back office processes.
Meanwhile in China, Baidu’s ERNIE has attracted almost a million developers looking to use the generative AI platform in their projects.
Trough of disillusionment
The enthusiasm for generative AI hasn’t managed to drown out dissonant voices. The number of objections are diverse.
Business issues
Morgan Stanley in a research report quoted a large pharmaceutical company CTO who abandoned the use of Microsoft Copilot in their organisation. The crux of the argument was that they weren’t seeing the value. Presentation creation was described as middle school level. Pharma companies tend to use PowerPoint as a publishing platform rather than a ‘presentation tool’ with data rich busy slides, so I can understand why Copilot became unstuck.
It isn’t only ‘high-end’ knowledge work conducted by large corporates that is underwhelming. McDonald’s is withdrawing generative AI systems deployed at its drive-thru restaurants due it not working as planned. A Gartner survey of IT leaders indicated that McDonald’s wouldn’t be alone with nearly one in three generative AI projects to be scrapped in 2024.
That might not be such a bad thing as businesses are currently in a process of experimentation, so long as the lessons learned are captured and internalised.
Goldman Sachs have pivoted over a matter of months from being bullish about generative AI, to being concerned that the return on investment for generative AI may take far too long.
Societal impact
What if speed isn’t the goal? The process of reading isn’t only about the ability to parse information quickly but also affects other aspects of human thinking and behaviour. There are clear benefits for certain groups of people including neurodivergent and second-language learners. But it also poses a risk to close reading skills which impacts developing or improving existing skills. Secondly, the generative AI can miss key facts from a document, given up as speed is prioritised over nuance and accuracy.
Knowledge collapse – By mediating access through AI tools moving forwards, due to the model’s focus on the centre of of the distribution of its data set. Restricting access to the edges is likely to cause harm to future innovation, human understanding and cultural development outlined in Peterson’s paper AI and the Problem of Knowledge Collapse.
Technology-specific issues
Environmental impact – like web 3.0 and the crypto economy, generative AI requires a lot of energy to run high performance data centres. This means that Open AI is losing money hand-over-fist paying for computing capacity from Microsoft at a significant discount.
Model collapse – the relative lack of human-made data and the rise of synthetic data used in training generative AI systems is likely to lead to a rapid degradation in those models, indicating a ceiling on amount of progress that generative AI based on LLMs is likely to make.
Synthetic data
Synthetic data is probably one of the most difficult subjects to write for AI state of the union H1 2024. On one hand, you have Mark Ritson’s endorsement of synthetic data based on what we saw from B2B marketing generative AI startup Expenza AI. Ipsos have also got some credible interesting offerings that seem to be based on the provision of synthetic data.
Is it any good? A lot depends on how the LLM is trained and the way it’s being used in terms of what you want to achieve. As with any tool, it can be useful for the right jobs. The MRS Delphi Group gave a range of feedback on the way it should be used, some of which seemed to contradict each other. We don’t know how accurate a picture the LLM is creating, what is being called algorithmic fidelity.
Until concerns about algorithmic fidelity is addressed sufficiently well; marketers would be wise to exercise a degree of caution.
Japan focus
I have included Japan in my AI state of the union H1 2024 post for a few reasons.
Prior to the current exuberance about generative AI; Japan was doing really interesting things using different parts of AI including fuzzy logic and software agents. The Panasonic rice cooker that cooks rice that’s perfect for your preference. Error correction for video and audio playback, from CDs to Blu-Rays. Complex camera programme algorithms including image stabilisation. Sophisticated non-playable character behaviour in computer games. There has even been synthetic singers like Hatsune Miku and virtual influencers.
If Star Trek influenced the flip phone, the smartphone ( think the tri-corder, especially when used with the likes of Oxford Nanopore‘s products) and tablets (on Star Trek’s next generation), then cyberpunk and Japanese anime have influenced AI in a similar manner. Elon Musk and Sam Altman would fit right in as villains in the Ghost In The Shell series.
Finally, even though Japan influenced cyberpunk based on William Gibson’s experience meeting Japanese students, it has a paradoxical relationship with technology. For instance, the Japanese government recently stopped using 3.5″ floppy disks. Ancient crafts are still highly prized and Japanese brands like The Real McCoy’s and Grand Seiko who provide premium manufactured goods to artisanal standards.
Matt Alt has put together a good overview of the policy and cultural context for generative AI in Japan. It’s less of a clear cut issue than the Japanese body politic seems to believe. The Japanese government believes that its population is likely to view AI positively because of anime plot lines. While Atom Boy is a positive example there are lots of negative examples in the Ghost In The Shell franchise alone. There is also a tension between government aspirations for international exports of increased amounts of media content.
There are also concerns about existing AI relationships in Japan exasperating existing societal problems, like virtual girlfriends or boyfriends.
Zynternet is a portmanteau made up of Zyn and internet. If you’re reading this internet is self-explanatory, the Zyn in question is tabacco-free Skoal bandit type nicotine pouches. Zyn comes in a tin and has various flavours.
According to journalist Max Read, the Zynternet is a kind of 90s to early 2000s sports obsessed ‘lad’ type culture; but in the 2020s. There are shades of ‘white van man’ in there as well.
a broad community of fratty, horndog, boorishly provocative 20- and sometimes (embarrassingly) 30-somethings–mostly but by no means entirely male–has emerged to form a newly prominent online subculture.
Despite Read’s definition defining it as a 20 to 30-something thing, the subculture seems to bleed into 40-something Dads and draws on creators like Barstool Sports. They’re less extreme than the Andrew Tate acolytes. They care more about sports and professional golf than they do about current affairs and politics. But they’ll be voting Republican. They like college sports, sports betting, light beers and Zyn nicotine pouches.
The culture has grown prominent on the laissez-faire Musk era Twitter.
Zynternet stretch
It would be very easy to point to the Zynternet audience and draw parallels to the ‘proles’ of George Orwell’s Nineteen Eighty Four. And then go down a dystopian k-hole.
I’ll leave the last words to David Ogilvy for those despairing about the Zynternet:
You aren’t advertising to a standing army; you are advertising to a moving parade. Three million consumers get married every year. The advertisement which sold a refrigerator to those who got married last year will probably be just as successful with those who’ll get married next year. An advertisement is just like a radar sweep, constantly hunting new prospects as they come into the market. Get a good radar and keep it sweeping.
David Ogilvy
TL;DR if you’re not reaching the zynternet, you’re probably not doing political marketing properly. More related content here.
Content or couture? Balenciaga’s 30-minute dress becomes the flashpoint of the season | Vogue Business – “It feels a little like a fast fashion iteration of haute couture,” says Victoria Moss, fashion director of The Standard, of the swirling mass of black nylon. “This feels at odds with what fashion at this level should be, which is exquisitely made pieces that somewhat justify their extreme pricing.” She adds that many invest in couture to have garments perfectly fitted to their bodies — and made to last for years.
“Is it beautiful? That’s debatable. Is it impressive? Not really. Is it brazen? Absolutely. Is it a meditation on the creative process? Maybe. Are we bored of these kinds of gimmicks at Balenciaga? Clearly not, as Demna’s work continues to be both a lightning rod and a conversation starter. “Call it ‘pret-a-polarize’,” says fashion journalist and ‘Newfash’ podcast host Mosha Lundström. “To my eye and understanding, I see this look as content rather than couture.”
Japan declares victory in effort to end government use of floppy disks | Reuters – yes stories like this are funny because ‘modern’ Japan with its flip phones, fax machines and floppy discs are an anachronism. But there’s a few other things to consider. There might be issues in terms of investment a la the NHS and critical systems that for whatever reason can’t be ported on to modern systems (like the problems had with security based on ActiveX).
Dumb systems also have security benefits, you can’t steal nearly as much data on even a compressed floppy disk as you can on a USB stick.
Interesting use cases for generative AI in China which sounds like a plot line from Ghost In The Shell.
Baidu – World No. 1? – Radio Free Mobile – is Baidu ERNIE really the number one generative AI service? It depends on if the numbers are true. 14 million developers, 950,000 models within the eco-system
China plays down importance of lithography tools in semiconductor challenges – Interesting report from Taiwan’s DigiTimes semiconductor trade magazine: China seems to be deliberately playing down the importance of lithography tools as it identifies the challenges for the development of its semiconductor industry in a recently published dossier.
This post on the end of culture as inspired by a presentation. Pip Bingemann of Springboards.ai presented at Cannes in Cairns – a marketing festival for Australians who wouldn’t be able to go to the Cannes Festival of Advertising. Pip’s presentation touched with things I had seen about the end of culture and had some interesting points within it. I didn’t agree with a lot of Pip said, some of it was down to nuance, but appreciated the journey that it took.
I have built the main headers around Pip’s slides, strap in for the end of culture.
What’s wrong with advertising?
Bingemann’s presentation as in praise of the disruption that (generative) AI was bringing. The thesis he put forward was that ‘machines’ had already messed up the advertising and media industries.
Advertising became self-service in nature.
There had been a move in online media to relevance over distinctiveness
We became slaves to numbers
Let’s look at those elements first.
Advertising became self-service in nature
Like the technological disruption of banking in the past with:
Postal banking
Automatic teller machines
Telephone banking
Online banking
Meta and Google’s advertising platform democratised media buying. Years ago a guy I have lost touch with used to be a manager at a McDonald’s branch in the west end of London.
Before cellphones became commonplace he had a side hustle. He used the restaurant telephone to phone up the newspapers, to book small ads. The newspapers had advertising sales teams, that he would speak to. He did it once for a friend and then word got around. Eventually, he was calling for businesses across Soho. Premium line suppliers, porn publishers and adult mail order catalogue companies. Eventually they needed the ads to be designed. This work was done alongside creating porn DVD covers and other marketing material.
He built a small successful agency off the back of it based in Soho. The agency remained in Soho until it was priced out by the fund management firms who moved in. Lots of other small businesses did the same for their plumbing business or hair salon. Their adverts would run in local newspapers across the country.
For more sophisticated ads like large print ads, television or cinema advertising; help was needed. This help got the ad ready, made sure that the publication received the artwork on time and in a format that they could use. They made sure that the artwork was presented in the manner agreed. With the likes of television, the advert might have to go through regulatory approval prior to publication.
If you were a larger brand with a national or international campaign, further help was needed in pre-testing and orchestration. Expertise might be needed to access more regulated markets while remaining on the right side of the law.
Technology allowed newspaper type adverts to be easily accessed by both agencies and brands.
TLDR: Advertising has been self-serving for decades, but I will grant that online allowed more sophisticated formats such as videos, colour photos and carousels. AND regulation has been slower to police advertising online, for instance YouTube ads don’t get the scrutiny that TV ads get.
Relevance over distinctiveness and slaves to numbers
The move to relevance over distinctiveness in online media was down to where online media was in the customer journey. It was (and for the most part still is at the bottom of the funnel).
Relevance made sense, particularly in search advertising. The first online adverts such as Craigslist classified and display ads were conceptually similar to their equivalents in the back pages of newspaper advertising. Newspaper ads were served in sections: cars for sale, homes for sale, local businesses, cinema listings, vets or pharmacies with a late closing time.
Search and many banner ad campaigns for that matter are about the last step (hopefully) before purchase. In the old pre-internet world, they would be direct mail or the direct response adverts that used to appear in magazines or the special offers beloved of shopper marketing.
Distinctiveness appeared further up in the funnel building long term memory models through brand building. It was TV advertising, radio jingles, magazine print advertising and billboards that evoked emotion and still evoke nostalgia decades later.
Saatchi & Saatchi for Gallaher
I would argue that the issue is less about relevance at the expense of distinctiveness, instead it’s about short-termist mindsets facilitated by numbers. The media industry is about to double down on this error, with initiatives like the European Programmatic TV initiative. And so I can empathise with Pip’s last point about becoming slaves to numbers. It’s ironic that the PowerPoint-friendly charts used by Google search advertising to explaining its value for marketers took off and drove marketing thinking.
Technology marketing itself came from broken origins and still is basically sales strategies by another name. A good deal of what data is created is based on what technology companies can see; rather than what marketers need to measure to get the balance between long term and short term marketing needs.
This MIGHT BE about to change if marketing expert Mark Ritson is to be believed. He posits that marketing technology start-up Evidenza.AI will provide business-to-business marketers with the kind of insight previously driven by market research, but much faster. From then on he sees it doing a better job at communications and media strategy. I am trying to keep an open mind on this at the moment.
TLDR: Advertising hasn’t become about relevance at the expense of distinctiveness, but instead about short-term at the expense of long-term marketing effects; partly down to technologists having a poor understanding of marketing.
Technology outputs data which marketers paid an inordinate amount of attention to; reinforcing the short term bias. Machine learning techniques now becoming available might turn this around by providing better marketing insight.
Machine learning tends towards the mean
Pip’s presentation went on asserting that machine learning tends towards the mean. Generative AI synthesises content based on what has already been done, which why Pip assumes that everything tends towards the mean. But that depends on how one uses these tools that we’ve been given.
As a strategist, I have used generative AI to knock out too obvious propositions, so I give the creative teams something interesting to work with in the creation of distinctive assets.
Apparently creative teams have been taking a similar approach in terms of ideation.
One thing I’ve heard more than once recently is how creative teams are using LLMs for brainstorms. But not quite how you’d expect… Because these algorithms answer back with the most likely predicted outcomes based on available data, you get the mean. The average. In creative terms that means the well worn “cliches”. So when starting a brainstorm or ideation session, quizzing the LLMs leads to a list of suggestions of what creative teams are generally most likely to suggest. At which point the team knows what NOT to do. The already well trodden ground. The list of the obvious. That also somehow gives a wonderfully smug angle on the use of AI in the pursuit of original work.
TLDR: generative AI will tend towards the mean, BUT that can be used creatively.
Agencies and clients screwed advertising
Pip’s slides don’t necessarily dig into the reasons why this happened. But I can put together some hypotheses and provide evidence that may indicate their validity or lack of it.
Clientside factors
Shareholder value ethos – Shareholder value the way we understand it now can be traced back to the 1960s. While Milton Friedman popularised it in an essay A Friedman Doctrine: The Social Responsibility of Business Is to Increase Its Profits, the idea had surfaced years earlier in an opinion editorial published in Fortune magazine. The so-called Friedman doctrine became a lode star for investors and boards including the likes of ‘Neutron’ Jack Welch at General Electric. While this thinking still dominates the tyranny of the quarterly numbers that CEOs of publicly traded companies operate under; it is not the only perspective in the c-suite.
The financialisation of businesses – related to the Friedman doctrine, businesses became increasingly financialised thinking about short term financial decisions. A classic example of this is how post-regulation, legacyairlines in the US have been managed. Another example is Brazil’s private equity firm 3G Capital who managed to destroy billions of dollars in shareholder value with marketing cuts. Financialisation has definitely had an impact, but it varies from company to company. We also see it showing up on the agency side, with the move to using more freelance staff and burning out those staff that they do have. They have a fig leaf of mental health care in their talent acquisition literature, but it’s largely BS.
What gets measured gets done – Google advertising’s success was as much down to it being easy to tell a story about the marketing spend conducted on the platform as it was about effectiveness. The dashboards lended themselves to being easily reproduced in PowerPoint and spoke in the universal c-suite language of line graphs and pie charts. This was really important for Google to survive and thrive in the post dot com bust and the 2008 recession.
Marketing literacy – since before I have gone to college the c-suite was largely marketing illiterate. It doesn’t matter if they are a self-starting boy or girl made good, or minted from an Ivy League business school with an MBA. I have worked with both and they had a similar marketing knowledge level, the only thing that varied was the level of self confidence despite this gap. Neither do the management consultants that they may employ. Which is the reason why the team at 3G Capital were surprised when they cut marketing costs and destroyed brand and shareholder value.
Procurement – practices to systemise purchasing and avoid issues like nepotism and corruption have introduced a muscular procurement function who know the price of everything and the value of nothing. Margins across disciplines have been squeezed to breaking point. This has led to a decline in entertainment and side benefits, my LinkedIn feed had advertising folk explaining that the cost of attending the Cannes Festival of Advertising was likely paid through budget cuts in: training, subscriptions for tools and publications and even head count. We might not have had an end of culture, but this is no longer the industry portrayed in Mad Men.
Agencyside factors
Splitting creative and media – prior to the mid-1970s creative and media buying were two departments in the one advertising agency. That allowed the free flow of research between the departments and the creative use of context as well as content. It also meant that margins had to support two management teams. Secondly, the options to best defend margins was in the media-buying side of the house, depending on how integrated into the media technology stack the the media buying agency became.
Change in north star from FMCG to technology companies – the rise of the internet completely changed the nature of marketing. Prior to the internet becoming mainstream, having FMCG experience as a marketer helped your career. In the early 2000s, Google, Yahoo! and later Facebook became the brands marketers wanted on your CV. The difference was that FMCG brands had subscriptions to the likes of the Ehrensberg-Bass Institute for Marketing Science. Yet American and British academia saw that most thinking from even the most prestigious schools can be boiled down to being the considered common sense opinion of tenured professors like David A. Aaker and Philip Kotler. Kotler was reportedly not interested in engaging with marketing science as consumer behaviour was too complex and difficult to model.
Relative recent awareness of marketing science. For reasons that I don’t fully understand marketing science is both old and a new phenomenon. The late Andrew Ehrensberg originally founded his Centre for Research in Marketing in the early 1990s and had been turning out marketing science academic papers for decades before that. Ehrensberg eventually moved to His work on the myth of ‘heavy consumers‘ and polygamous brand buying (smaller brands suffering a double jeopardy of fewer people purchasing them, and those that did purchase them, did so less often) was done back in the 1950s for Attwood Consumer Panel (would eventually become part of TNS). Some agency strategists knew about Ehrenberg, such as Stephen King of JWT. Some of this thinking was likely hidden by the decline of market research projects in agencies and the split between media buying and creative. In addition, Andrew Ehrenberg theorised why marketing science had a low adoption outside his center’s FMCG clients, which also encapsulated the gatekeeper role American academics played in overall mainstream academic adoption:
I also realised slowly that our kind of theorising – which at base describes and explains already-established and generalised empirical discoveries and which thus post-dicts them – was anathema to many American academic marketing colleagues. They espoused much more ambitious and complex-looking econometric procedures which never worked in practice, with the recent citation for a Nobel typically not referring to any established empirical patterns
Channels – I don’t know who thought that a video view could be just a couple of seconds, but digital platforms benefited from it. Some of the wisdom from this years Cannes Festival of Creativity was that short adverts don’t work that well as they fail to build memory structures. Somehow agencies, platforms and brands suspended belief to develop marketing campaigns that only made sense in 1980s cyberpunk fiction like Max Headroom. Even at Cannes, platforms like Tiktok believed that they operate like, and a have similar impact to a TV advert…
Research – like most strategists I have found that I am often operating with less qualitative research than I would like. One of the biggest programmes I managed to work on the research for was the global launch of a now famous weight management product. Even then we didn’t do enough interviews around the world to understand cultural nuances in play. I remember reading about strategists in the 1970s spending a good deal of time listening to focus groups hosted around the country. There was a mid-week ritual of taking a drive or a train to a city or town outside London for this research. Social listening has been touted as a possible research for product tracking and can be a useful source of consumer soundbites sometimes.
Testing – hand-in-hand with a decline in research has been a decline in types of testing. Content still gets tested, but brands and agencies didn’t test channels to the same degree. Which is why we’ve had short form ad formats for years, yet the knowledge that they’re not as good at building memory structures doesn’t seem to be embedding into clients and agency teams.
OK, but that’s advertising, what about the end of culture?
Pip claims that advertising is just one part of our world that has been under attack (from technology). Alex Murrell’s essay The Age of Average was cited as the source of this insight. Murrell makes his case on the common looks in car designs driven by developments in aerodynammic design over time, architecture and cityscapes, coffee shop styles, logos, book covers, video game franchises, packaging design and product design.
Part of the reason for the architecture was Le Corbusier and his his function over form theory of design and architecture (modernism) captured in Towards a New Architecture.
Murrell harked back to a time of distinctive cities like Victorian London. However what Murrell’s explanation overlooked was that even back in Victorian times London was becoming ‘standardised’. Chimney pots, bricks, cast-iron beams, windows and even church stained glass windows came out of catalogues. The same designs repeat over-and-over-again. The church stained glass windows went around what was then the British empire. It is a similar situation today. Buildings are made of standardised materials and design tools as we understand more about engineering.
Technology over time allowed buildings to get taller and let in more light thanks to improvements in construction, lifts (elevators) and environmental control. Where things get interesting is when governments and societies make decisions on what they want to keep or rebuild. Shanghai has preserved only a little of the Bund and few of its hutongs. Hong Kong has so far managed to keep some examples of its composite buildings. However once you get to street level you see a distinct evolving local culture despite their apparently similar skylines.
This mix of standardised components bought from a supply chain, improved engineering and regulation has also driven similarities in other products, such as motor cars which Murrell cited as an example. But again those similarities are more about operating at a macro-viewpoint. On closer examination, diversity in car culture and driving experiences start to build clear lines of distinctiveness.
And the car industry for decades has indulged in badge engineering where one vehicle truly does look like another.
Wolesley Hornet
Austin Cooper Mini
Innocenti Mini
Riley Elf
The examples I used above were all based on the Austin Mini. Wolesley was a luxury brand owned by BMC at the time. Italian care manufacturer Innocenti licensed the Mini from Austin until the agreement was cancelled by British Leyland. Lastly, the Riley Elf was a slightly more expensive alternative to Wolesley, both were owned by BMC.
General Motors were the masters of badge engineering using ‘common platforms’ as far back at 1909.
As for the complaints about logo design, books and later the web allowed influential design motifs like Neville Brody’s work at The Face, Arena and The Guardian went around the world, collected in three volumes by Thames & Hudson. His cover designs were in Tower Records stores from New York to Tokyo. Design is an industry sensitive to global influences that you see spread around the world. A second reason for the simplification and flattening of logos is the world that we now live in. Before the web logos only existed in the physical world. Digital brings common requirements:
Works in a website template that can be used globally.
Works in email headers and footers.
Works in a favicon and in a mobile app button.
One interesting point came out when Murrell (and Bingemann) looked at media where there was a coalescence of homage images and content based around a success. But these in turn created their own genres like the sweary covers on self-help books. How is this marking a low point in culture was beyond me.
I thought of genres like the European ‘gallo’ films or the European takes on the western films of which spaghetti westerns are the most well known. A lot of the films were dreadful. In the case of European westerns many of them borrowed a characters name from more successful films. So you saw ‘apparent’ franchises around ‘Ringo’, ‘Django’ and ‘Sartana’.
(Film director Alex Cox published one of the best works on the Italian western film genre 10,000 ways to die. It’s based on his university thesis and a fascinating read, if you choose to jump down that rabbit hole.)
You had a similar experience in the Asian martial arts film industry with countless variations on the the star name Bruce Lee, as the industry coped with the loss of most famous star.
This doesn’t mark the end of culture, but the manufacture of culture. What’s good or great is then strained through the filter of time and changing social attitudes.
As for the cinematic superhero cul-de-sac, there are clear parallels with the end of the western and the New Hollywood movement. This time its distribution in the driving seat rather than a new generation of directors. Like the New Hollywood movement there will be both successes and car crashes along the way and I am largely excited by it.
Bingemann also cites Adam Mastroianni’s essay Pop Culture Has Become an Oligopoly. Mastroianni hits on what is called a long tail. In scale-free networks with preferential attachments, power law distributions are created, because some nodes are more connected than others – so Taylor Swift will sell more because of the size of fan base she has grown over time. They have been studied since at least 1946 and Benoit Mandelbrot who is better known for his work on fractals was one of the main researchers. Wired magazine touched on it in 1998 when it published The Encyclopaedia of the New Economy written by John Browning and Spencer Reiss and the influence showed up in Wired contributor Kevin Kelly’s work New Rules for the New Economy. So one can guess that the ideas were being thrown around then.
Wired editor Chris Anderson wrote about it in a magazine article for Wired in October 2004, and turned it into a book. Algorithms in online services create bubbles and rabbit holes in different areas and surface media winners like MrBeast. But again culture has thrived despite of popular culture out of sight of the general public for decades will continue to do so. Examples include Northern Soul, punk, the Chicago house music scene, UK garage, grime, drill and donk, the long tail does not mark an end of culture.
TL:DR: Could the current culture eco-system be better? Yes, absolutely. But it isn’t broken in the way and extent that Bingemann believes. We definitely aren’t at the end of culture and it doesn’t need to be ‘saved’ by generative AI.
So what can AI do?
Bingemann believed that generative AI offers society a way out of the end of culture. So presumably it offers a way to enhance and create culture. He believes that it creates, I would finesse this a bit to say that it emulates, synthesises and combines elements to meet consumer instructions – since it is the sum of its training data.
Ironically, Bingemann bases his thesis on how surreal and abstract art represented the ‘death of traditional art’ and reinvented the meaning of art and unleashed a large amount of creativity. Traditional art didn’t die per se, there are still several artists selling realistic pieces including painting and sculptures alongside the ‘new art’ movements.
Generative AI puts tools in the hands of creatives that previously would have meant a lot of work. In the same way that desktop publishing and Photoshop reduced the cut-and-past compositing on layers of glass panels which were then photographed and image retouching done by hand in the past.
In advertising Bingemann sees five opportunities enabled by generative AI:
Move to value-based pricing (presumably based on substantially reduced cost of production). It’s what Huge tried to do with their pivot and what thinkers like Michael Farmer have been recommended. We’ll see what happens when this aspiration meets client procurement teams. I hope Bingemann is right.
Design AI around people. So far the progress has been mixed around this. We have been some companies like Klarna using ‘good enough’ generative AI to automate jobs out of existence. Adobe have taken more of a creative enablement approach. Based on my experience working on ads in the past with collaged backdrops and photoshoots for global campaigns, this could save tens of hours or more in art working.
Embrace the newcomers. Just like social and digital before it, when we had new agencies like Crayon, AKQA and Poke; Bingemann thinks that generative AI is likely to bring new businesses to the advertising eco-system.
Spend 10x more effort developing the next generation. Given that the advertising industry manages to continually churn experienced people out of the industry and no one was found to have retired last year from the industry according to the IPA – this is going to be a tall order. It would make more sense if AI was used to make advertising more representative.
Unite. Clients, agencies and technology. It’s a nice aspiration, but when clients are looking for good enough and efficient content, agencies looking for a margin and trying to put effectiveness in there as well and technology companies trying hold back their natural instinct to suck all the value to themselves, it will be a hard feat to achieve.
Bingemann argues that this is necessary for advertising, but also for creativity and considers advertising’s role to break culture rather than just reflect it. Culture and creativity will exist without advertising. Even during the Soviet Union, there was still creativity, art and culture – both mainstream and underground.
A Final Thought To Leave You On
GZero Media quoting Douglas Rushkoff (of Media Virus fame) on what generative AI means for culture moving forward.
While its not the end of culture as we know it, Springboard.ai are putting out some interesting tools that I could see competing with the likes of Julian Cole, Mark Pollard and others who are filling the ‘how to strategy’ gap for brand planners.
