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Updated: Sep 26, 2023


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Just for the record, let’s get one thing out of the way - this article has not been written by artificial intelligence. I have written this article myself as a genuine if highly flawed human being. This is not one of those articles where you read through, and the last line says “and this was written by AI”. (I recently listened to a brilliant podcast by Seth Godin, a well renowned marketing ‘guru’, about A.I., in which the last line of the podcast was and both the script and the voice for this podcast were A.I.)

Today, we are in the early days of our understanding and living with AI and what it can do for us, the technology can already do some very impressive things, and clearly the trajectory with technology like this is rapid advancements as the technology teaches itself and the knowledge base it works from infinitely faster than we mere human beings.

We’re not going to go into the potential exponential risks for humankind with AI that have been highlighted and discussed elsewhere in more depth and with greater insights than I can offer. However, we do need to appreciate how AI has changed and is going to continue to massively disrupt the business of Toys & Games.


Wikipedia defines AI thus: “Artificial intelligence is intelligence—perceiving, synthesizing, and inferring information—demonstrated by machines, as opposed to intelligence displayed by humans or by other animals.”

So, the key thing here is that A.I. doesn’t necessarily have to be advanced or super intelligent. Even going back to early internet experiences via Google or Amazon or others back in the day – from the very beginning these online platforms have been driven by machine intelligence as well as human insights and management.

The reason why Google is the global leader in internet search and has been for more than 20 years is that they have had the best A.I. managing the crawling and searching process from a technical perspective. The reason why you can search for any information and normally find it in a few milliseconds is because of Google’s tech, not because of any direct human involvement in your search. Obviously, humans have helped to shape and program the code driving the A.I. involved, but the point is that A.I. is not new – we have already been heavily relying on it for several decades already at this point.

We can look forward and project our thoughts into the amazing places that AI will go, but the most effective path here is to keep an eye on the present and the future, but also to keep an eye on the mundanely effective as well as the outlandish capabilities of A.I.

Mundane tasks like Finance admin or producing shipping documentation are increasingly going to be A.I. driven. This is one of the primary points to remember as we look at this topic – A.I. may well be able to take on advanced work before too long, but it has been helping us on an ever-increasing basis with basic mundane tasks for years already – back to the analogy of it taking twenty years to become an overnight success!


One of the key engine houses of the Toy industry is the creative process at the start of product development– creating a concept and working out which concepts to actually produce. Let’s get straight into how A.I. can help at this stage.

The following segment is copy and pasted out of CHAT-GPT 4:

ME: Please create 10 original Action Toy I.P.s

CHAT-GPT 4: Sure, here are 10 original toy IPs in the action toy category:

1. Astro Knights: A series of knight-themed action figures set in a distant future where chivalry meets technology. Each figure comes with a unique set of cybernetic armor, a laser sword, and a transforming robotic steed for interstellar travel. Characters range from valiant knights to ruthless dark knights, all vying for control over the Cosmic Kingdoms.

2. Dino Bots: Dinosaurs come back to life as mighty robots, equipped with weapons and unique abilities. Each Dino Bot can transform from a dinosaur to a fully-articulated robot and vice versa. Kids can recreate epic battles between herbivores and carnivores but with a fun technological twist.

3. Shadow Ninjas: These ninjas are masters of stealth and weaponry. Each figure comes with a range of ninja weapons and a unique shadow ability, like disappearing into darkness or creating illusions. They wage a silent war against the evil Oni Clan in the hidden world of the Yokai Realm.

4. GigaZords: Giant robots piloted by a team of young heroes, each with their own unique powers. The robots can combine into a mega-robot to fight massive threats. The line also includes villain figures and their corresponding giant monsters for the heroes to battle.

5. Wild Elemental: A line of action figures based on mystical creatures, each harnessing a specific natural element - earth, air, fire, water, etc. They are protectors of their respective realms and often clash over territorial disputes, creating epic elemental battles.

6. Alien Infiltrators: Alien action figures, each with their own unique form and abilities. They live among humans, disguising themselves using their transformation abilities. The toy line includes both heroic and villainous characters, as well as humans who have allied with them.

7. Sky Pirates: Adventurous, swashbuckling pirates of the skies with steampunk-inspired ships. The toy line includes a variety of pirate figures, their fantastic airships, mythical sky creatures, and treasure to be found or fought over.

8. Tech Titans: A team of technologically enhanced superheroes, each with a unique suit that gives them special abilities. The toy line would include both the heroes, their alternate suits, and the villains they face off against in their futuristic city setting.

9. Primal Warriors: These action figures are based on ancient warriors from various cultures - like Spartans, Vikings, Samurai, and more - each with an animal spirit guide that provides them with special powers. The spirit guides can also transform into a weapon for the warrior.

10. Quantum Voyagers: Time-traveling action figures, each from a different era. Each figure comes with period-specific weapons and a personal time machine. They battle time-traveling villains trying to rewrite history for their own benefit. The possibilities are endless for historical characters and scenarios.

As I have written about many times before, there are certain themes for Toys which are perennial and work time after time. There are only so many truly groundbreaking blue sky Toy themes in the market. The reality is most of what we do in Toys is to some degree derivative, the secret sauce for success lies in getting the execution right. The point here is that these 10 Toy concepts supplied by Chat-GPT 4 could well work. If you go through those ideas and really think about all of them, you have most likely seen something along those lines in the market, and you have probably seen about half of them be successful to some degree.

Now the challenge of course is that it is inevitable that AI can present Toy concepts which work, because to some degree what an AI like CHAT GPT does is to trawl all existing relevant materials and then to draw conclusions, so to some degree the concepts GPT produced in this example are likely to be credible because to some degree they are a derivative of everything that is already out there. To that point the true creativity of these large language models is debatable, but then most Toy companies are looking to produce products which sell, not to develop truly groundbreaking original innovation – hence why so many Toys in market are derivative.

It's not just in Toys of course that that approach of amalgamating all existing versions of something can lead to the production of something credible – for a couple of years now A.I. has been capable of ‘writing’ movie scripts which would be very likely to get greenlit by Hollywood studios.

There is no doubt then that A.I. is going to be a major tool for the creative aspects of our industry going forward. The challenge though is that they are a very long way off from being truly creative at this point. Currently, A.I. can be a strong tool to help creatives in our business, but there is a big difference between aiding and replacing. Those working in R & D departments should embrace A.I. and heavily skill up, because the R & D jobs of the future may be more based on creative skills in terms of creating the inputs to A.I. platforms as much as in traditional creativity.

With regards to content, which has played a major role in the Toy business for as long as most of us can remember, I expect that there will be a big role for AI in mapping out and expanding content narrative and churning out scripts for repeat episodes of an animation. If it becomes significantly cheaper to churn out content, we can expect to see ever more content, which is both good and bad – good because we should have more options of content based properties to develop Toys for but also bad because any content initiatives by Toy companies are going to find it harder to find ‘distribution’ to the increased competition.

So, at this stage, I see A.I. as being a major tool for product and content developers to use and still some way off from being a true source of ideation. In saying this I appreciate that something which is very systematic but also highly variable and like music can be created by AI, I see it as being harder for Toys because there is both a physical functionality element, a feeling of benefit on behalf of a parent, or kudos on behalf of a child or Kidult and AI does not seem yet ready to ideate in our business in this way – yet. Who knows what the future holds, you could eventually have a full A.I. Toy company churning out credible ‘Me-Too’ Toy concepts and content formats, but the true spark of brilliance and creativity in mashing things up that have pre-existed does not seem to be there yet.


We’ve looked at how AI will affect the PROCESS of ideating and designing Toys & Games, but we also need to consider the products themselves. Think of a basic Plush Toy – kids love Plush Toys for various reasons, but one of which is that they are so soft and cuddly. One of the reasons why Feature Plush is such a successful space and proven over time is because by adding some (relatively basic) interactivity, movement and sounds we can bring the product to life – we can make that character move from being inanimate to seeming at least a little real. Needless to say then the more advanced the tech inside that Toy the better the experience can be for the child. To put this into a real context – imagine sticking an Amazon Alexa device inside a furry Plush character from a child’s favourite show or movie. Already today artificial intelligence can deliver a massively enhanced experience. But imagine if the AI could interact with the child on a much deeper level – that’s where we are heading here. The AI will be able to riff of the cuff bedtime stories based on the child’s interests, friendships groups, family and pets – you name it. That will be so compelling for children. I have often written or spoken about one of my all-time favourite Toys - that being Interactive Yoda by Tiger Electronics, this product dates from around the fall of the millennium and Yoda literally talks to you & reacts to your movements with a light sabre. Now needless to say, the tech in that Toy was basic, it was clunky, and while it did bring Yoda to life, it was not a very deep interactivity. Imagine the same product with a modern, advanced AI language model inside. Yoda could not only relate the entire history of the Star Wars universe but could also ad lib in an authentic Yoda-ish way. That is one Toy that the ‘Kidult’ in me would buy every time!

Funnily enough, on the day of editing this article, my ex-employers Hasbro announced the return of Furby, the massive hit Toy of the late 1990s. This iconic interactive Toy was a huge commercial success at the time of launch, and when Hasbro brought it back again some years later. I expect a bumper year for Hasbro with this relaunch of Furby which features voice recognition and 600 phrases. We can expect much more to come from this type of product as artificial intelligence advances at a fast rate.

The creative executions coming up in the next few years and beyond featuring artificial intelligence capabilities will be stunning. Frankly, it’s not my job or skillset to ideate on what is possible from a creative perspective, but it is very clear that we are going to see a lot of truly ‘WOW’ products in the coming years, as much because of their technical functionality by way of offering a truly interactive experience. It won’t be long before children are being taught in school to recognise the difference between a real person or real animal and an artificial intelligence interface. What exciting times these are!


Having looked at how effectively A.I. can churn out concepts & ideas we can see that there are obvious challenges in terms of intellectual property ownership. AI can effectively produce IP which is derivative and mashed together from several or even many concepts based on searching information in the public domain on the internet. It clearly has the capability to casually infringe the intellectual property of other brands. If you take 1% of each of 100 brands to create 100% of your own brand does that mean that you have something truly distinct and ownable or not from a legal perspective?

Anybody who has ever seen IP infringement legal cases can tell you that the law in this area is not as black and white as you might presume it to be. Sometimes legal protection is given and sometimes not when it comes to courts of law. Different jurisdictions have different legal frameworks, but sometimes even within the same jurisdiction legal rulings can be inconsistent and sometimes arbitrary. The cost to get a definitive ruling on intellectual property cases is very high, but the rewards can also be massive.

There will undoubtedly be legal challenges to AI over the next few years. There are going to need to be landmark rulings which may alter the legal allowability of AI originated output or may leave the field relatively free, and the legal framework is going to vary from jurisdiction to jurisdiction.

The challenge right now is how to proceed until those legal tests come to pass. Prudence suggests that legal departments will need to be ‘on their toes’ to navigate the next few years as we enter the ‘storming’ phase of the introduction of more advanced artificial intelligence.


Artificial intelligence has already made a major impact on the sphere of engineering and manufacturing. In functions or departments which are driven by precision and efficiency, AI has much to offer and many positive impacts to make.

Let’s start with the manufacturing facility itself – AI with its massive capability to analyse data and to create efficiency through computation and calculation will design manufacturing plants optimised for efficiency to a level far beyond a human could.

AI will also revolutionise the supply chain into the factories we use. Human error on ordering specs or quantities should be eradicated, and while machines will make mistakes, they will make fewer and fewer over time as they learn from their mistakes in a way humans often don’t!

Moreover, as the intelligence level and capability of machines is growing rapidly, so is everything driving advances in robotisation. Today’s robots tend to be expensive and inflexible versus the multiple tasks we need them to fulfil. In the world of Toys & Games, so many products don’t make it past Year 1, and as such it makes little sense to acquire and setup new machinery. A.I. will make robots far more flexible and adaptable.

Mo Gawdat, a high-ranking Google employee (who left due to concerns of the huge, potentially negative impact of AI on the human race) tells a story of how he had a vast budget at Google, and would run all kinds of weird & wonderful experiments. At one point they set up a load of robot arms trying to do something fairly difficult in terms of dexterity – something like picking up something up while it was moving. He tells of how he walked past every day on his way to more important meetings and would stop for a minute to watch the machines trying but failing to complete the task they had been asked to do. The major lightbulb moment for him about how massive an impact AI will have on humanity was when one of the robot arms managed to complete the task. He observed that once one of the arms ‘got it' they all got it, unlike in humans where we all have to learn such physical skills ourselves, with machines they can share the learning when driven by AI, and so before long every single one of the robot arms was completing the task routinely, quicker and more efficiently than a human ever could.

So let’s think about Mo Gawdat’s story and apply it to Toy manufacturing. Let’s say you have an action figure production line, and one day it is producing a figure with just a couple of points of articulation and component parts, but the next day the same manufacturing facility might need to manufacture a much more complex product with more than a dozen component parts and with much more advanced articulation. The current way we would approach this is to restart the line for the new product by teaching the human labourers how to produce the new items, which would give them some time to pick it up, to make some mistakes and to learn from that. Every individual would need time and would make their own mistakes. If you think of AI driven robots with greater dexterity and adaptability than we currently have, the AI can more quickly and efficiently adapt to the task. Moreover, the machines don’t need to sleep, they don’t need holidays and they don’t have the same rights with regards to working conditions as human beings, which removes a major element of risk for Toy manufacturing in terms of ethical audit and worker safety.

Sadly, I have been shown round too many factories where the staff member touring me round has less digits than they should. While machines need maintenance, they don’t come with the same frailties and inefficiencies as human beings. Which is actually quite scary when you think about all those economies where human beings rely on a strong manufacturing sector for employment, but nevertheless much higher automation is coming and with it should come lower manufacturing costs once the equipment investment is paid off/accounted for.


I have to be honest, Logistics sits alongside Accounting for me in the ‘critical but dull’ part of our industry. In depth analysis of how to move stuff from A to B is not my idea of a fun time, even though I recognise how important it is. Thankfully A.I. is going to take a lot of this work off our hands – from shipment paperwork to transit bookings and even unloading and delivery, machines will take on more and more of the Logistics function. Going forward that should mean we get to maximise efficiencies to a much greater degree than we do now which should save money on inefficiencies and on human labour. Again the theme seems to be human jobs going leaving us with better profits but perhaps a broader social issue. The counter argument suggests though that someone still needs to manage, guide and maintain the machines, so again we’re going to see big change with both opportunities and difficulties for humans to manage.


If you’ve ever used a social media platform then you have had a raft of marketing tailored to your media consumption served up to you. The capabilities of machine learning are only going to enhance this. Artificial intelligence will be able to run advanced and large-scale marketing campaigns while adapting and amending at a bewildering speed human beings could not match.

Having initially trained as a marketer in the pre-digital age, and then skilled up on digital marketing to the point that I taught Toy Cos how to do it more than a decade ago, I can now see many more interfaces and opportunities needing to be embraced by marketing departments across the coming years. Eventually I see a big role for an artificial intelligence brand manager in the future, simplifying the human inputs required – for example if you’ve ever found it painful to set up a PPC ad on Google, it won’t be long before you’re a.I. can talk to Google’s A.I. and sort it out with far less clunkiness and hassle. I think people will be needed on some of the more strategic and emotive elements of Marketing for some time, but I could be wrong on that.

One interesting idea I saw recently came from Bill Gates, who suggested that we are moving towards each person having our own A.I. agent, which will run tasks for us and save us from much of the hassle of modern day life. Think of things like trying to work out what to buy for a vast array of Toy aged junior relatives for the festive season. In the future, your very own A.I. agent may select and acquire all the Toys you need based on limited instructions you give it. Think of JARVIS, the A.I. which assists Tony Stark (Iron Man) in the Marvel movies…

The mind literally boggles at the thought of trying to optimise for A.I. decision making based on offhand limited human directions on what Toys to buy!


I’m going to struggle to write much on these areas, but the reality is this, A.I. is already driving much in these functions. For example, in my home country, the UK, the government’s Tax collection service has an advanced financial search algorithm which can find irregularities which need to be investigated by humans. Just think how much more thorough those investigations could be if conducted by artificial intelligence at a higher level of capability and with the ability to literally search every piece of financial data out there versus a selected small percentage which is as much as human tax collection agents can handle. Be prepared for more and more change as A.I. let’s governments around the world deeper into more and more of our financial dealings.


As I’ve already said above, we have been relying on A.I. for shopping for more than two decades now between Amazon and Google et al. One area I struggle seeing A.I. taking over definitively in the near future is in range selection. Perhaps this will become easier once A.I. is driving our purchase decisions, but until that point it’s hard to see how even the most advanced machine intelligence can work out why we buy crazy games like Pie Face or why adults want to collect a particular license of action figures! There is no doubt that retail is going to be massively sharpened up across the board by more advanced A.I., and retail buyers are going to have ever more data to use in their range selections. They may even be able to factor in more advanced computing to work out how likely it is that ‘El Nino’ will lead to a good season for Outdoor Toys, but the A.I. will get variables like these wrong just as well as humans!

One other thought I had on Retail & artificial intelligence is this – I started my career as a Retail Management Trainee. At that time the retailer I worked for was trialling digital pricing strips on shelf to see if they could make pricing up products more efficient. Twenty-seven years later, and we don’t seem to have advanced that far in terms of in store experience despite all the Technology. For sure, Amazon is amazing, but I’m talking now about physical retail. Once you move beyond Click & Collect, much of the experience in store is still the same. Mass market generalist box shifters still focus on volume & promotions, and Specialist Toy retailers still rely on the sheer magic of our products to get kids and adults interested and excited. Surely we’re overdue a revolution in terms of in store experience – let’s see what A.I. can deliver on that front!


We’re sat here again in the midst of another Tech driven revolution for the human species. I would argue this is the third Tech revolution we have had in the last 25 years. First, we had the mass adoption of the internet and all that brought with it, then we saw the emergence of massively influential new social media platforms which revolutionised the way we interact with others which in turn changed how we and what content we watch and how marketing works. And now A.I. is moving beyond the supporting role it has thus far had to be the next great revolution itself, with huge disruption ahead for the way we play, work and live.

Like many of you reading this, I worked through the previous two Tech revolutions, and did my best to adapt to help those I worked with to advance their activities. Back in 2001, I was one of many people working on which offered customisable Monopoly game content via the internet (along with many other projects back in the day). With the social media revolution I helped Toy companies get up to speed on what it was and how to use it to enhance their business operations and interactions with their consumers and retail customers.

Today I have a similar feeling to when we sat on the edge of those two previous breakthrough periods – I have feelings of excitement and trepidation at the same time, but above all I’m looking for opportunity to help my clients to embrace all the new things ahead and looking for ways to adopt the new Tech to boost my own business offering.

I expect many of you feel the same – hang on tight, this is going to be the wildest ride of them all :)

N.B. All trademarks featured herein are the property of their respective owners.


Have you listened to the latest episodes of my PLAYING AT BUSINESS podcast:


EP 99 – Gift & Hobby Distribution Channels (The Original Kidult Toy Business?!)

Guess what – people have been buying Toys for adults for a very long time. Even though the ‘Kidult’ thing is the big thing nowadays, hobbyists and people buying Toyetic gifts for adults have been around for a long while.

Listen in to Episode 99 as we look at these adjacent areas in more detail:


A few episodes back we looked at why excess inventory is so dangerous - in this episode we move on to look at the practicalities of how our industry manages excess inventory, where they sell it, how it works and some major banana skins to watch out for when selling clearance stock!


If you want to find out more about my Toy & Game business consultancy services, please just click the link below. Our company has helped hundreds of Toy & Game companies to get ahead and grow sales/make more profit. I have worked on all product categories across a 20+ year career in Toys & Games, and genuinely love sharing knowledge, contacts and facilitating greater success for our clients. For more information on our services, click here:

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