Category: web of no web | 無處不在的技術 | 보급 기술 | 普及したテクノロジー
The web of no web came out of a course that I taught at the La Salle School of Business at the University Ramon Llull in Barcelona on interactive media to a bunch of Spanish executive MBA students. The university wanted an expert from industry and they happened to find me by happenstance. I remember contact was made via LinkedIn.
I spent a couple of weeks putting together a course. But I didn’t find material that covered many of things that I thought were important and happening around us. They had been percolating around the back of my mind at the time as I saw connections between a number of technologies that were fostering a new direction. Terms like web 2.0 and where 2.0 covered contributing factors, but were too silo-ed
So far people’s online experience had been mediated through a web browser or an email client. But that was changing, VR wasn’t successful at the time but it was interesting. More importantly the real world and the online world were coming together. We had:
Mobile connectivity and wi-fi
QRcodes
SMS to Twitter publishing at the time
You could phone up Google to do searches (in the US)
Digital integration in geocaching as a hobby
The Nintendo Wii controller allowed us to interact with media in new ways
Shazam would listen to music and tell you what song it was
Where 2.0: Flickr maps, Nokia maps, Yahoo!’s Fireeagle and Dopplr – integrated location with online
Smartphones seemed to have moved beyond business users
Charlene Li described the future of social networks as ‘being like air’, being all around us. So I wrapped up all in an idea called web of no web. I was heavily influenced by Bruce Lee’s description of jeet kune do – ‘using way as no way’ and ‘having no limitation as limitation’. That’s where the terminology that I used came from. This seemed to chime with the ideas that I was seeing and tried to capture.
I was prompted to write about collapsing the funnel as a trope that marketers and adtech salespeople tell each other after listening to Jon Evans Uncensored CMO podcast. Jon was interviewing Josh Feldman.
Josh Feldman
Feldman is CMO at NBCUniversal’s advertising and partnerships business. He has been a long-time NBCUniversal marketer. Prior NBCUniversal, Feldman started at Turner Broadcasting, where he took on various roles including national and regional advertising sales roles. He managed client relationships for a range of TV channels including Adult Swim, Cartoon Network, TBS, TNT and TruTV. Feldman’s sales orientation partly explains his collapsing the funnel perspective.
NBCUniversal
Mr Feldman is no longer just selling 30 second TV spots at NBCUniversal. NBCUniversal is a plethora of media properties:
11:05 – The secret to building strong client relationships
14:21 – Funnel marketing and the importance of end of funnel <—–
16:34 – The popularity of Bravo
17:46 – BravoCon
21:00 – The best brand activations at BravoCon
22:51 – How brands can work with talent
24:49 – Being a media partner for the Olympics
27:59 – Josh’s advice on creativity and landing your message
31:39 – Helping smaller brands
Two aspects to collapsing the funnel
Josh’s comment about collapsing the funnel was emblematic of two separate trends going on that he encapsulated in this one segment of the show.
The first is that performance marketers are waking up to the fact that brand matters.
The second trend is the fusion of sales and marketing functions in the business-to-business through account-based marketing or what used to be a sales support function now being lionised as a ‘strategic approach’.
Brand matters
A classic example of what happens if one focuses exclusively on performance marketing is the plateauing of growth that occurred in ASOS. The ASOS story is now often cited by marketing media mix experts as an example of what happens when brand building isn’t used to support performance marketing.
In the noughties and 2010s ASOS was a purveyor of trendy clothing for young people. It started as a copycat brand over time became a competitor to Urban Outfitters and an Etsy-type platform for small vintage clothing and design boutiques.
ASOS took a performance marketing approach to growing its business. Over time it expanded to eventually ship to 197 countries, but 40 percent of its customer base was still in the UK.
Performance marketing drove the customer base, but didn’t drive a significant increase in the number of orders per customer over time.
When we look at the inflation adjusted average basket value, we see a steady decline each year, with a sharper drop from 2021 onwards.
Performance marketing failed to increase basket size, and each customer added was less valuable than the last. Especially when one factors in the complexity of global logistics required for customer deliveries.
This next bit is speculative, but the geographic expansion drove growth as performance marketing based growth in its established markets plateaued.
The business went into reverse after 2020. The reasons for this reversal are likely to be multi-variant including:
Performance marketing plateau.
The bifurcation of the market. At the bottom end, Shein, Temu and TikTok commerce. At the top end luxury brand websites and secondary market platforms like StockX.
Culture. Like other online properties including Buzzfeed and Vice News, ASOS had a millennial user base that has been somewhat aged out.
The cost of living crisis due to post-COVID inflation.
Let’s next think about advertising, in particular Les Binet’s explanation of how advertising really works. In this explanation summarises the conclusions of decades of Ehrensberg-Bass Institute research, alongside marketing science work by the likes of the IPA into a six line explanation.
Advertising increases / maintains sales and / or margins
By
Slightly increasing the chance that people will choose your brand
By
Making the brand easy to think of and easy-to-buy
And
Creating positive feelings and associations
Via
Broad reaching ads that people find interesting and enjoyable
And
Targeted activations that they find relevant and useful
ASOS failed to maintain sales and margins because they focused on targeted activations – that consumers found useful. But the utility seems to have changed over time.
This happened despite ASOS using data science to optimise their marketing with a particular focus on geo-experimentation in performance marketing rather like trialing TV ads in different TV company regions, which marketers have done for the past 70+ years.
This isn’t because Lilia and Clara are bad data scientists, indeed I think they are good marketers using data to inform their decisions. The problem was that the focus was nearly exclusively on performance marketing.
ASOS are an example that has started to persuade performance marketers that brand advertising helps performance too.
ABM
Account based marketing is a strategic approach to business sales. It depends on account intelligence and analysis. This insight is used when an organisation considers and communicates with each prospect or customer account as markets of one.
Target selection becomes important and the criteria is usually focused on the most profitable business.
In existing accounts it is focused on upselling or cross-selling products and services to the customer. The main focus is alignment of marketing tactics with sales management. This moves the focus from individuals as targets to groups of people within an organisation.
ABM isn’t about collapsing the funnel per se but about melding it and reshaping it in the service of the salesforce rather than short term and long term brand with sales.
The current debate over car screens / car as computer design reminded me a lot of the journey that synthesisers have gone through.
I went down this train of thought on car screens thanks to a LinkedIn post by Nic Roope, reacting to an article published in Car Design News in praise of push buttons.
There is a view in car circles that the reliance on screens to mediate so many of the functions of a car can be a bad thing. I can understand it. For enthusiasts driving a car is still a very analogue experience including the haptics of direct steering connectivity and a manual gearbox.
I would be remiss if I didn’t share the opinion of Doug DeMuro who argued the case for screens in terms of two reasons:
Costs. Buttons cost more money and there would be the associated connectors. Modern vehicles offer such a range of controls, that doing them in buttons rather than soft buttons and car screens would be cost and space prohibitive.
Technological momentum. DeMuro essentially articulates a position similar to Kevin Kelly’s concept of the technium in his book What Technology Wants. Kelly uses a biological metaphor of progress as an organism or Gaia type metaphor that keeps growing and moving at its own pace. While Kelly has been accused to techno-mysticism, we do know that the development of key technologies like television or the light bulb were happening at the same time in different parts of the world in isolation from each other – there had become a time when they were inevitable.
the greater, global, massively interconnected system of technology vibrating around us
DeMuro’s first point is based on the proposition that all this extra control in car screens is a good thing. Do we really need to have car interior mood lighting? And if we do, do we need to have colours that result in night blindness and make the car interior looks like a booth at a bottle service bar in Dubai?
For some drivers, the answer will be no.
Different car manufacturers have had different models that do very different things. One of the philosophies articulated most by car enthusiasts is that of Lotus cars founder Colin Chapman “simplify, and add lightness”.
Chapman’s design ethos was very in-tune with the likes of mid-century thinkers like polymath Buckminster Fuller and those he influenced notably architect Sir Norman Foster.
Chapman’s world view wasn’t perfect his vehicles were fragile and had quality issues, partly due to his daring use of new materials and techniques influenced by aerospace. It’s also a world away from the Tesla approach, where the vehicle can’t be started up without the screen even as a ‘limp mode’ function.
Instead the Tesla pickup and car screens are infested with boondoggles including:
A video of a fireplace filled with burning logs
A game that allows you to break the windows of a virtual CyberTruck
Customisable horn sounds including celebrity voices
A pre-programmed light show
Modern car economics.
Car screens have advanced in tock-step with the move towards an electric car future. A technology transition at the best of times is difficult, but the car industry has other problems that will impact consumer views of vehicles.
Consumer choice.
In the 1970s cars cars seldom lasted over a decade, but due to improvements in corrosion treatment and car design that removed water traps the potential life of a car was extended. Given that classic cars are much less damaging to the environment. The average classic emits 563kg of CO2 per year, yet an average passenger car has a 6.8-tonne carbon footprint immediately after production. This means that a new car would need to be run for several years to achieve a similar climate ‘payback’ and older cars can be attractive for consumers, if they meet their needs reliably.
Vehicle affordability.
Over the time I have held a driving licence, the secondhand car market went from being the dumping ground for fleet sales to the Alice In Wonderland after effects of the lease agreements that drove new and nearly-new car sales. The financialisation of the car market isn’t without risk and has been considered a possible future risk in the way that consumer finance and home mortgages have been in the past.
So what do car touchscreens have to do with synthesisers?
In order to answer that question, we need to go back in time. Massive steps forward in electronics had inspired research into different ways of creating sounds based on modulation techniques used in radio broadcast signals for decades. In the 1960s digital technology was also moving forward and provided a more stable base for FM synthesis. Stanford University scholars worked with Yamaha technologists to turn FM synthesis into a product.
The first instrument that it appeared in was the New England Digital Synclavier, who had licensed the technology from Yamaha. The Synclavier, was a couple of racks full of computer storage, a processing unit, cooling and audio interfaces. This was all connected up to a monitor and a keyboard. Over time the Synclavier would evolve into the ancestor of the modern digital audio workstation (DAW) like Apple’s Logic Pro app.
1983, comes around and Yamaha is finally ready to launch a mainstream product featuring FM synthesis. it also features MIDI, a standard that is still used to control musical instruments (and other studio equipment) remotely. Roland had released a couple of devices that supported the standard.
But Yamaha’s DX7 proved to be the blockbuster product. At that time electronic music was a niche interest and instrument manufacturers would be very lucky to sell 50,000 units. Yamaha sold over 300,000 units in the first three years of sales over its 7 year life and 10,000s of more devices of the DX and TX families.
Digital changes the interface
Analogue synthesisers wer full of switches and dials. This Oberheim synthesiser above, isn’t that different from its analogue predecessors from five decades prior.
The DX7 was a very different beast, it couldn’t have a dial or button for every parameter, rather like modern car screens with endless settings. So it had a few buttons which changed their function depending on what the synthesiser. A few earlier models had limited sales with a similarly spartan approach, but the DX7 mainstreamed the idea.
A few things happened that might be instructive for how we now think about car screens:
Other synthesiser manufacturers like Roland and Korg copied Yamaha’s approach to interface design. Some of them tried using devices like jog wheels to provide additional intuitive control, in a similar way conceptually to BMW’s iDrive interface for its car screens.
Software companies looked to fill the gap to provide a better interface, which eventually begat modern software digital audio workstation applications like Logic Pro. We might see similar developments sold for cars, and this is likely the opportunity that the likes of Apple CarPlay sees. There is consumer demand to support it.
Despite the obvious benefit of soft button driven instruments, there still remained a strong demand for analogue controls. Now there is a strong demand for tactile interface controls and old style synthesis. In the car world that would equate to providing car enthusiasts with analogue experiences, while the mainstream goes to Tesla minimalism of the car screen. We can see this in the design of Hyundai’s analogue feeling performance electric cars that try and emulate a manual gear box and Ineos’ switch gear that owes more to aviation than automotive manufacturing.
Mobilizing for Monuments is an interesting brand collaboration. Flickr was a natural partner for the the environmental charities due to it being the destination community for serious photographers. Rivian also makes sense, given that they make electric all-wheel drive vehicles – which presumably have a lower carbon footprint.
The Mobilizing for Monuments road trip film that highlights the benefits of the brands involved as well as the conservation messaging. Rivian gets to showcase its vehicles at a time when Tesla’s Cybertruck has a reputation that’s gone from a must-have vehicle to a dog’s dinner. The thing that I am most curious about Mobilizing for Monuments is where Flickr takes it next? Test
Ray Kurzweil expands on his idea of The Singularity
This MIT Initiative on the Digital Economy talk is very pertinent given the current debates that copywriters seem to be having around automation and LLMs. Mina Lee takes a social science approach to her investigation to LLMs including an evaluation model.
Reinvent the model
Swedish fashion retailer Lindex has looked at diversifying its models across its advertising and marketing materials. It is also re-examining beauty standards and the related pressures that its customers face. This a long term process that they have described as ‘Reinvent the Model‘.
Spotify (at least in the UK) have done a great job supporting strategists and planners with case studies and research reports over the years. This time they have collected a selection of UK-specific campaigns on their platform demonstrating its strengths.
Channel 4 Streamland—an in-app experience, which personalised show recommendations for Spotify users based on their listening habits.
Hyundai did a video takeover for their campaign to get consumers to pronounce their name authentically.
Shutting down is a conscious choice. You might see it described as digital detox or a digital break. I, like a number of people that I know have a ‘dumb’ phone to complement my smartphone. This is different from the pre-broadband era of the internet where going online was an active decision punctuated by the sound of the modem.
At that time, keeping in touch was an active decision rather than the tyranny of the pings from messaging applications. We cocooned ourselves from each other with a personal audio soundtrack via an iPod or a Discman. This cocooning effect was viewed to have a positive effect on personal autonomy was called the Walkman effect by sociologists.
Once you used a device be it the modem-connected PC, TV or music player you went through the act of shutting down devices. My parents still go room-to-room at night shutting down devices.
My Nokia N95
Over the past two decades we have stopped shutting down. A number of things happened:
Phone as Swiss Army knife. Cellphones quickly became our alarm clock. Working on the Nokia N93 launch with Flickr (then part of Yahoo!) felt like a watershed moment allowing photos to be taken and shared instantly online. During the July 7th London bombing, I got home by navigating with the ring bound A-Z atlas of London, which lived in the bottom of my backpack. Now I have four apps that would use depending what I wanted to do.
Device as social currency, your smartphone says as much about your economic health as your car. It’s a hygiene level of status, just like branded training shoes (sneakers) were when I was at school.
Synchronous social media. The now long-forgotten iNQ SkypePhone, BlackBerry and Danger Sidekick heralded no-shutting down engagement.
Dark patterns / design techniques used to encourage app or service use as a compulsion. It is no coincidence that a number of senior design and engineering teams at Tinder and Instagram sat in BJ Fogg’s persuasive computing design (captology) modules, yet the products used techniques that Fogg described as unethical.
Parent and policy voices.
The key points that activists and concerned parents talk about revolve around the following talking points:
Screens now dominate our lives, and their presence is only getting stronger and more powerful. For instance, I can no longer phone up my local surgery to get a repeat prescription or book an appointment, it’s all mediated by the surgery website and the NHS app.
(Some) adults can control to a certain extent how often and when they use screens. Shutting down is proving hard for many adult consumers to do. But there is a commonplace screen addiction. Empirical evidence suggests that it would be damaging for children. I could make countervailing points, here is a better place to see them outlined.
Smartphone addiction and drug addiction share some similarities including a neglected personal life, a pre-occupation with the subject of the addiction, social media as a mood modifier or for escapism. The implication is that smartphones are an unwilling appendage which add capabilities (some of which are of a questionable value) and can’t be put down. All of which reminded me of my childhood (and adult relationship with music).
The push seems to be on regulating the services that run on top of smartphone platforms.
There doesn’t seem to be a corresponding focus on encouraging shutting down as a desirable behaviour; presumably because the efficiencies promised by digital government services are too alluring.
Under-supply.
While there might be a desire for dumb phone, there are remarkably few options as second generation mobile networks have been turned off around the world.
HMD (what was Nokia’s terminal business) is the leading player in this sector. They are starting to do clever things that tap into the idea of shutting down and being present in the meatspace at key moments.
Heineken collaborated with HMD and streetwear atelier Bodega to collaborate on a ‘dumb’ phone in a transparent case, similar to electronic devices issued in prisons.
Heineken seem to doing this for a number of reasons:
People are less likely to be themselves when there is a broadcast studio in your pocket full of distractions to pull you away from the now.
Shutting down allows you to be more present for your friends.
Losing a £1,000+ device down the pub full of work information and access to your bank account isn’t a particularly attractive option. So providing a cheaper option is a bit like the ‘festival phone’ tough but basic Nokia that I bring to gigs and festivals.
Punkt.
A less well known competitor is Punkt. Punkt is a boutique Swiss consumer electronics company who have made a number of cellphones, home phones and a Braun-like alarm clock. Punkt want to promote the idea of intentional technology use, rather than as a wrapper around our everyday lives. Their MP02 phone acts as a wi-fi hotspot and a dumb cellphone, as they view a two device strategy of laptop and phone leans in better to their intentional technology use vision. Punkt make shutting down easier, by adding friction to switching on.
The phrase AI two-step is something I first heard from my friend Antony Mayfield. He used it to talk about how companies were adopting the latest developments in AI for business processes. And then reduce headcount to reflect the newly AI derived tasks instead.
The AI two-step isn’t necessarily a new concept, companies like Pegasystems were using rules-based systems to take away the drudgery of back office work in banking and fund management for decades.
Further back, companies like Experian, through their access to CCS’ CardPac software provided a service for credit card issuers in the UK using rules-based credit scoring and applications approval. This ran on time-shared mainframe computing resources, which also provided Experian with a good source of ongoing credit worthiness data. All of which reduced the back office work and employees needed by the credit card company. MBNA used to make a virtue out of having every decision reviewed by real live credit analyst, who could overwrite a scoring decision if they saw a compelling reason to do so. (CCS became part of First Data and eventually part of Fiserv).
As these services were being rolled out, there was a corresponding cut in jobs.
Examples
Here are just a few examples of businesses adopting AI, some of which are prime examples of the AI two-step.
IBM
While IBM may no longer trumpeting its Watson AI service as loudly as it used to, AI methods are dispensing with the need to replace staff who leave the technology company.
Pfizer’s Charlie
One might think in the UK that Pfizer should have thought a bit more carefully about the name Charlie, but the aspiration behind the platform is interesting. Charlie was noted to be helping with content creation, fact checking and legal reviews. Research by Bain & Company have found that it isn’t just Pfizer in the pharmaceutical and biotechnology sector that are taking this approach. Some 40 percent of executives who were surveyed said that uses of generative AI were factored into their 2024 budgets.
Bain indicated uses across a wide range of business functions within pharma:
IT programming code review
Competitive intelligence
Research and biomedical literature review
Marketing copy
Augmenting the selling process as a sales co-pilot and contact centre automation
Publicis
French listed marketing combine Publicis made a high profile adoption of machine learning and AI-based services back in 2017 under the moniker Marcel. Back then Marcel was being used for workflow type tasks and organisation of data. This year Publicis rebranded its approach to the less playful CoreAI, so far it has cut the use of freelance staff – which are usually essential for project delivery in ad agencies, rather than the usual AI two-step of lay-offs.
UPS
UPS adoption of AI techniques in everything from workflow to customer service allowed the logistics company to make the largest lay-offs in its 116-year history.
Clear analogues to the AI two-step?
Various commentators compare the AI two-step happening to the dot com boom of the mid-1990s to the early 2000s. The comparison with the dot com boom is easy at first. You have businesses that have phenomenal share price growth, widespread interest and experimentation. Business sectors from advertising to Hollywood are concerned about massive disruption.
The examples I would think about would be factory automation and business process re-engineering. In factor automation, over decades companies used machines to negate the need for unskilled and semi-skilled workers. A friend of mine worked in Huddersfield in a textile mill. He was one of just a couple of people who worked a shift. None of them were weavers, they were engineers and an IT admin who maintained the lines of machines turning out high-end suiting fabric that was mostly sold to Japanese clothing manufacturers. This came very close to being a ‘lights out production line‘ where the product is handmade by robots as they used to say in the old Fiat car advertisements.
Weavers and machine operators were replaced by a lot fewer, but more expensive roles.
Business process re-engineering was driven by enterprises implementing enterprise software to drive efficiencies and automate workflows. This was a lucrative time for consultancies who were brought in to shape a company’s workforce and processes to fit a software company’s pre-defined template for that industry. This was usually based on average industry standards. Software giant SAP have been building and refining these templates for the best part of 50 years, each industry template draws on individual units that might cover a business function like HR, finance or asset management.
A bit of software customisation was needed to fit a given business, and it might have to interface with third party products to handle market complexities such as different tax regimes.
The consultancy teams also laid-off employees that didn’t fit the framework. That’s what business process re-engineering actually meant.
Automation was responsible for putting up to 47% of American jobs at risk. However other research indicates that new forms of skilled or professional jobs are being created. One of the big problems with this data is that they are speculative models. More positive takes from businesses fuelling automation like McKinsey and Company versus more critical predictions from government think tanks and academics.
Factory automation and business process engineering are both similar to the use of AI in business, in that they are primarily helping mature businesses maintain their position and drive efficiency. The dot com boom on the other hand was much more disruptive and spawning more upstart businesses – some of which were very successful and leaving mature businesses struggling to cope. From financial services to media – pre-internet businesses are still struggling to cope with the innovation and disruption that begat the dot com boom.
Optimists versus pessimists
The optimists highlight a number of nuances that they think mediates the impact of automation and machine learning over time.
Tasks over jobs.
It’s tasks rather than whole jobs are being lost. Yet if you look at the data that Scott Galloway shared in his newsletter and the speedy ‘these job losses aren’t down to AI denials’ this optimistic assumption is pure fiction. The jobs being lost are the second part of the AI two-step.
Creative destruction.
Jobs are being created too and it’s often about ‘skill shifts’ rather than ‘job shifts’. While there are redundancies being made, there is a requirement (at the moment) for people skilled in writing ‘prompts’ to get the most out of the AI models created.
Overconfidence.
Overconfidence in technology and what it can do. An extension of this is a belief in the perfectibility of technology. A classic example of this is Air Canada’s recently aborted use of an AI-powered customer service chatbot. The airline quietly pulled its chatbot offline after being found legally liable for bad advice given by the customer service bot to a customer.
Moffatt booked airfares and retrospectively submitted an application for a refund to the reduced bereavement fare after travelling. Air Canada denied the request. Moffatt challenged that decision, saying he was owed the refund because he had relied on the information provided to him by the chatbot on Air Canada’s website. Air Canada admitted that the information provided by the chatbot was “misleading”, but it contested Moffatt’s right to a refund, highlighting that he had been provided with the correct information via the link the chatbot shared in its message.
The Civil Resolution Tribunal considered whether Air Canda was liable for negligent misrepresentation, which arises under Canadian law when a seller does not exercise reasonable care to ensure its representations are accurate and not misleading. Moffatt was required to show that Air Canada owed him a duty of care, that its representation was untrue, inaccurate or misleading, that Air Canada made the representation negligently, that he reasonably relied on it, and that that reliance resulted in damages. The court held that Moffatt met those requirements.
The Civil Resolution Tribunal noted that Air Canada had argued that it could not be held liable for information provided by one of its agents, servants or representatives, including a chatbot, but had not explained the basis for that suggestion. The Civil Resolution Tribunal rejected as a “remarkable submission” Air Canada’s suggestion that the chatbot was a separate legal entity that was responsible for its own actions.
Demographics – the idea that aging countries from the west to China, Japan and Korea have skills deficits due to population decline. Automation is one of the coping mechanisms alongside globalisation and migration that have been suggested solutions. The Chinese are also looking at building factories in countries like Ethiopia, who have a young and growing population. Automation makes sense where migration would adversely affect social cohesion and the cost of globalisation would be more expensive than automation technologies. Workers in the global south are dependent on being cheaper than machines, rather like the American legend of John Henry versus the steam engine.
Companies like Automata have been looking to help businesses automate repetitive low skilled work, such as sandwich making in food service factories or low volume manufacturing tasks.
The state of automation in different roles is running along at different rates of progress. While John Deere have managed to make the most of arable farmland through the use of telematics and GPS guidance of tractors, automating farming for tasks like harvesting is proving more difficult. This is exasperated in the UK at least by the challenge of getting sustained venture capital for hardware. Technology automation in other sectors such as construction and healthcare continues to move at a slow pace.
In an area like consumer electronics we have seen benefits and declines in automation. Benefits in the way a company like Apple can manage a sophisticated global supply chain workflow via automated software. Apple has also pioneered the use of robotics in dismantling its more modern smartphones when they are brought in to be recycled.
The declining area has been one of design choice. Prior to the smartphone and broadband internet, companies like Panasonic designed circuit boards that were less dense with components. The reason for this was to facilitate automated board manufacture through the use of ‘pick and place’.
Nokia used similar techniques for its cellphones and smartphones until the business was disrupted. Apple iPhones needed much more manual assembly because of the tightly packed components in their phones. Young women were valued for their small hands and manual dexterity leading to concerns about worker conditions.
More work to be done.
Creation of new jobs seems to be a matter of faith. IT in businesses drove an increased amount of management, the move online drove a need for webmasters, web designers and online marketers. There is an assumption that over time AI will have a similar effect, beyond people who can write prompts.
Limiting factors
Technology
While GPT based models have surprised both in terms of what they can do and fail to do, there is a belief amongst experts that:
Data sets will only get you so far. There is no clear path to a new technique, or what older techniques would need to be combined with GPT-based systems. Of the data sets out there, a significant minority could be filled with ‘poison’ data like nightshade.
That there isn’t enough data to train models in a lot of cases and synthetic data is often used instead. Others believe that this will corrupt and stunt future AI models rather than help them.
Resources
AI systems like crypto mining consume a lot of energy and require a lot of water for cooling which is already straining data centres and infrastructure. All of which will impact corporates ESG profile and larger investor relations health. You could have an amazing AI model, but if you have as bad an ESG rating as Exxon you willl struggle to raise funds.
