The myth-busts, hot takes, explainers, and tools worth keeping.
❝Story· 2
❝Story13:50
Losing 90% of revenue in a year and writing Key Person of Influence
In 2009 the global financial crisis took Priestley from millions in revenue to a few hundred thousand — 90% gone in one year. He marks it with a detail: one Christmas party had 17 or 18 people, the following year had three. He calls it morbid. During that period he began writing about what he still knew to be true, having just had the rug pulled out from under him — the strongest truths he could share. The result was Key Person of Influence, written in 2009 and published in 2010, built on the then-radical conviction that the world would shift from institutional to personal brands, with faceless companies declining and individuals whose brands exceeded their institutions rising. He describes starting murky, with only a feeling or a sense, and being clear by the time he had gone through the publishing process — the writing itself was what produced the conviction.
90% of revenue lost in a single year after the GFC
The Christmas party went from 17-18 people to three
He wrote about what he still knew to be true
Key Person of Influence written 2009, published 2010
The publishing process, not prior certainty, is what made the thesis clear
“I began writing about what is it that I know to be true”
#financial crisis#writing#personal brand#resilience#origin story
❝Story2:09:00
The Christmas Eve call from a GP he had never met
Closing the episode, Priestley recounts getting a call on Christmas Eve from a GP he had never spoken to, who said he needed to call before something bad happened. His pancreas showed an enzyme associated with bad things. Had anyone said he was turning yellow? Had he lost consciousness or been dizzy? Had he needed to sleep all afternoon? No to all of it. The GP's reason for calling on Christmas Eve was that if he drank alcohol or ate too much on Christmas Day he could end up in an ambulance. For about a week Priestley did not know whether he had a serious disease. A CT scan came back showing a pristine pancreas, gallbladder and liver — the elevated markers traced to diet, sleep and exercise. He describes it as a stay of execution and the greatest gift he could have got for Christmas, because for a week he experienced what losing his health would feel like and then learned it was reversible. He now wears a Whoop band and finds real pleasure in the data. His summary: a healthy man has many goals, a sick man has only one.
An unknown GP called on Christmas Eve about a pancreatic enzyme
The timing was specific: alcohol or a large meal on Christmas Day could mean an ambulance
A week of not knowing, then a CT scan showing pristine organs
The elevated markers were reversible and linked to diet, sleep and exercise
A healthy man has many goals; a sick man has only one
“a healthy man has many goals, a sick man has only one”
“there's nothing that frees you more than having visibility of the data”
Why a whole generation feels wiped out before it starts
Priestley opens by naming the emotional condition rather than the tactics. People feel invisible, feel they do not matter, feel stuck — you cannot buy a house, cannot get a career, there are no safe jobs, AI is disrupting everything, and they feel detached from meaning and purpose. He is careful that this is not confined to twenty-somethings: he knows people in their forties and fifties, and entrepreneurs with traditional businesses, who feel the same. His explanation is that you are playing by an old set of rules, and that this is normal because the school system taught you rules built for the industrial age. Twelve years of preparation for employers, careers and jobs that either no longer exist or can already be done by AI. The remedy is not effort but repositioning: look at the world that is emerging, reskill and reposition for that world.
The condition is invisibility, stuckness and detachment from meaning
It is not age-specific — forties, fifties and existing entrepreneurs feel it too
Twelve years of school prepared people for a world that no longer exists
During disruption the signals about whether you are 'cut out for it' get jammed
The fix is repositioning for the emerging world, not working harder in the old one
“you had 12 years of training for a world that doesn't exist anymore”
Priestley zooms out to argue that technology, not policy, dictates economic fundamentals. The agricultural age ran on feudalism — lords, kings, serfs, and wealth measured in tracts of land. Then three people on a tractor did the work of three hundred on a farm, and everyone asked what they would all do. The industrial age answered with a completely new system in which land barely mattered; what mattered was the ability to organise labour and machinery, so a small factory outproduced hundreds of acres and being an industrialist beat being a duke. His claim is that the same rupture happened around the 2000s with general-purpose technologies introduced as though they were nothing: anyone can publish video, write a blog, tweet, form a community, and carry a device better than a BBC camera studio. Power swung from institutions to individuals — an individual now has everything a multinational has, without the bureaucracy or the slow decisions.
Feudalism, capitalism, and now the digital system
Technology shifts are what change the economic fundamentals
A factory outproduced hundreds of acres; the duke became irrelevant
2000s general-purpose tech gave individuals multinational capabilities
Individuals get the capability without the bureaucracy or slow decisions
“the fundamentals of the economy are dictated by the technology that we have available to us”
Priestley reframes the intimidation of large platforms with participation data. Out of LinkedIn's billion users, only about 3% publish regularly and fewer than 1% publish weekly — so 99% are lurking and watching what others do, and only 1% are actually competing. YouTube has 2.7 billion users but only about 4% have an account and only a fraction of those are active. His conclusion is that a tiny percentage of the world's population creates anything; most people consume. The move an entrepreneur has to make is from consumer to creator. He also distinguishes journaling from publishing: publishing means to make public, which forces you to think about how this would be of value to others and gets you feedback on whether the idea is good, bad or merely okay. Publishing is not just writing — it is video, audio, long-form, shorts, tweets.
Only ~3% of LinkedIn's billion users publish regularly; under 1% weekly
Only ~4% of YouTube's 2.7 billion users have an account
You are competing with the 1% who create, not the billion who lurk
Publishing means making public — journaling stays private
Publishing forces the value question and generates feedback
“you think that you're in competition with a billion people on LinkedIn. 99% of people are just there to kind of lurk”
#publishing#linkedin#content#competition#creators
•insight53:30
The lifestyle boutique versus the performance business
Priestley describes two deliberately non-unicorn business shapes. The lifestyle boutique has six to twelve people doing three or four million in revenue, often at 60% margins if it is digital or IP-based, possibly a million of clear profit — built on fun, freedom and fulfilment, with no VCs and full choice over who you work with. He calls it one of the most fulfilling businesses you will ever have. The performance business has around thirty people, usually involves technology, and is built to be sold for between 10 and 100 million to a listed or private-equity-backed acquirer without splitting the exit with a VC. That is his own game. Asked why he plays the harder one, he says the difference is that anyone can build a six-to-twelve-person business geeking out only on the customer's topic — yoga, photography — but at 30 to 100 people you must also geek out on technology and business strategy, on go-to-market and LTV and acronyms. Not everyone is built for that.
Lifestyle boutique: 6-12 people, £3-4m revenue, often 60% margins
Performance business: ~30 people, built to sell for 10-100 million
No VC means no split exit
Small businesses require only topic expertise; larger ones require business and tech obsession
Priestley plays the performance game by preference, not because it is better
“one of the most fulfilling businesses that you'll ever have has between six and 12 people and does three or four million of revenue”
#business models#scale#exits#fulfilment#strategy
•insight1:09:00
AI is the power station; nobody has built the toasters yet
Asked whether AI is the current dot-com moment, Priestley says it is extremely early. His first analogy is the App Store: launched 2007-08, with Instagram and Uber arriving two years later and hundreds of businesses marching behind. His preferred analogy is electricity — generated in the 1830s, but not until the 1930s did houses fill with things that ran on it, a hundred-year transition. With AI we are at the stage of generating it, not the stage of creating everything that runs on it. The power station has been invented; the thousands of toasters, kettles and vacuum cleaners have not. He puts that build-out at the next 10 to 15 years and says you cannot name an industry that will not be impacted. His concrete near-term marker is Nvidia's $3,000 supercomputer, replacing what previously cost roughly $50,000 a year in cloud subscription, which he expects to underwrite ten-person companies doing a billion in revenue.
App Store 2007-08; Instagram and Uber two years later
Electricity generated in the 1830s, in homes by the 1930s — a century
AI is at the generation stage, not the applications stage
The build-out runs the next 10-15 years across every industry
Nvidia's $3,000 supercomputer replaces ~$50,000/year of cloud subscription
“think about a power station versus a toaster. So the power station's been invented, but there's thousands and thousands of toasters that can be invented”
#AI#technology adoption#nvidia#opportunity#timing
•belief· 4
•belief52:30
Entrepreneurship has transcended geography, gender and race
Asked whether the young couple in Cape Town need to move to a major city, Priestley says the old model was two men in their twenties from a prestigious US university who dropped out of Harvard or Stanford, got into a garage and raised VC money. Entrepreneurship has transcended that — geography, gender, race, and even the scale required to count as successful. People anywhere now connect with markets anywhere and sell products anywhere; they bootstrap instead of raising VC; they create niche rather than mass-market products; and rather than scaling to a unicorn they ask at what size they would be fulfilled. Later he sharpens the point: the 'where' is digital. In Silicon Valley you will see some of the poorest people living next to some of the richest, so it is not geographical — it is a mindset, digital versus analogue.
The old model: two men, prestigious US university, garage, VC
Entrepreneurship now transcends geography, gender, race and scale
Bootstrapping over VC, niche over mass market
Ask at what size you would be fulfilled rather than how to become a unicorn
The 'where' is digital — Silicon Valley has poor people next to rich ones
“the where is digital”
#geography#remote#bootstrapping#niche#mindset
•belief1:16:30
Rich people do not squirrel money out of the economy — they add to it
Priestley argues the common model of getting rich is wrong. People imagine taking a small piece out of the economy and storing it away, but that is not how it happens. Instead someone creates something from their mind, formalises it into a company, gets people to invest, and that creates new wealth in the economy that never previously existed. His live example: Book Magic, one of his software startups, raised £400,000 for 10%, which means £3.6m of value was added that is currently a figment of imagination. Very slowly it becomes real; bigger companies acquire it or the shares change hands, producing a liquidity event and capital that gets reinvested into creating new things. His warning to the extraction model is blunt: you pay taxes on the small piece, the government wants half, and you never get off the treadmill. He is careful to add nuance elsewhere — some millionaires are rent seekers and slum landlords, and that is not who he is describing.
Extraction and storage is not how wealth is created
Wealth creation is a figment of imagination formalised into a company
Book Magic: £400k for 10% created £3.6m of value that did not exist
Value becomes real slowly, then becomes a liquidity event, then gets reinvested
He explicitly excludes rent seekers and slum landlords from the argument
“the way rich people become rich is not by squirrelling little bits out of the existing economy it's by creating something new that never existed”
Priestley on UK tax, entrepreneurs' relief and the 10,000 millionaires who left
Priestley's position is that you should collect the most tax possible, and that the way to do it is low taxes rather than high ones, because in a world where people move freely you need to be an attractive place to come to. He notes the 1% pay 30% of tax, so doubling the base means attracting more of them. Entrepreneurs' relief, he explains, acknowledged that founders pour unpaid time and resources into a gamble, and used to apply to the first £10 million of exit value at 10% — now the first £1 million. If exit is taxed like income, many people simply will not take the risk, and investors who can earn more sitting on capital in property will not fund startups. He cites 10,000 millionaires leaving the UK last year, Dubai charging no income tax while running clean streets and working transport, and the UK taxing at the top rate from three times average wage against America's eight times. Bartlett describes himself as politically neutral and says he landed on the same read from watching the decisions successful people around him actually made.
Collect the most tax via low rates, because people can now move freely
Entrepreneurs' relief: 10% on the first £10m of exit, now the first £1m
10,000 millionaires left the UK last year
UK hits top rate at 3x average wage; the US at 8x
Digital assets — brand, data, software, media — leave with a phone
“in this digital economy with a personal brand, with data, with software, with media assets, those assets pick up on a phone”
#tax#policy#uk#entrepreneurship#mobility
•belief1:27:00
The marathon runner and the cyclist: inequality as a technology-adoption gap
Priestley argues wealth inequality is not being discussed accurately. His image is two people racing a marathon, one running and one on a bicycle. The cyclist powers ahead effortlessly and it looks profoundly unfair — this person works just as hard, why are they getting ahead so much faster — but the difference is leverage of technology, not effort. He draws the historical parallel to Dickens: Oliver Twist's street children existed because some people's income was linked to capitalism and others' to feudalism, two systems operating in parallel during a transition. He predicts the same now: it was the best of times, it was the worst of times, with some people leveraging technology into fun, freedom, fulfilment and financial success, and others stuck in the industrial age saying they work as hard as they possibly can and cannot get ahead, falling further behind year after year.
Inequality is a technology-adoption gap, not an effort gap
The runner versus the cyclist: same effort, different leverage
Dickens wrote about the same parallel-systems problem in the Industrial Revolution
Two economic systems now operate side by side
The same person working as hard as possible falls further behind each year
“one of the reasons we have wealth inequality is not what's being talked about. Wealth inequality is because of technology and technology adoption”
How Priestley actually deployed AI: 250 video case studies made searchable
Priestley's concrete example of disrupting your own business with AI is deliberately unglamorous. One of his businesses has 250 video case studies of happy clients — amazing material, but too many of them to be usable. They built an AI bot that reads and understands all 250. Now when the sales team is talking to a customer they type in the scenario that person is going through, and the bot suggests the relevant case study: same industry, same problem, same challenge, plus the link. The sales team can send the exact case study relevant to that prospect. He pairs it with an even simpler suggestion for any company: run a training workshop with everyone about how they could use AI in their role, watch some videos online, and play with ChatGPT. His framing is that being disrupted by AI simply means every employee becomes far more effective because they are using it.
250 client video case studies were too many to be usable
An AI bot reads and understands all of them
Sales team types the prospect's scenario and gets the matching case study
Simplest AI disruption for any company: a training workshop on role-level use
Being disrupted by AI means every employee gets more effective
“you've got to be the company that uses AI when they're not”