William Dalrymple’s book explores India’s role in Buddhism, culture and maths
The Golden Road: How Ancient India Transformed the World highlights role of monsoon winds as ideas spread worldwide
William Darymple and Mita Mistry
By Amit RoySep 20, 2024
IN WILLIAM DALRYMPLE’S new book, The Golden Road: How Ancient India Transformed the World, the historian has vividly set out how India, not China, “was the beating heart of Asia between 250 BC and 1,300 AD”.
He spoke about his findings, first in a lecture at the Financial Times Weekend Festival, and then in an interview with Eastern Eye.
The book, he said, is divided into three parts.
“The first part is the story of how Buddhism was exported, initially by Ashoka, but then subsequently by merchants and individuals without any state assistance, in all directions.
“It was initially to Sri Lanka, with Mahinda, the son of Ashoka, eastwards to the Mekong Delta, China, Korea and ultimately Japan; westwards to Egypt, where more and more Buddhist remains are turning up on the Red Sea,” he told Eastern Eye.
The cover of The Golden Road
“And the book, in particular, is aimed as the corrective to this notion that China was the main organ of east-west contact, and the Silk Road, which sort of bypassed India in the classic map which went way to the north, was at all a thing until the 13th century. I think that the Silk Road existed, but only from the 13th century onwards.
“Up to that point, India was the centre of Asia and the monsoon winds blew Indian traders, missionaries, merchants, intellectuals, sages, mathematicians, westwards to the Arab world and the Mediterranean; eastwards to China.
“Part one is the story of the spread of Buddhism.
“Part two is how Hinduism and Sanskrit and the world of Sanskrit and Hinduism and Hindu kingship came to dominate Cambodia, Laos, Thailand, Malaysia and Vietnam.
“And the third part is how Indian numerals travelled west, first to the Arab world and then to Europe, with the Sanskrit literate former Buddhists who became the viziers in Baghdad. And they were the mediators who brought Indian mathematics and astronomy to the Arab world.
“It spreads through the translations and the transliterations of al-Khwarizmi, from whom the word algorithm derives. And then he’s read in Algeria by Fibonacci, who brings it into Italy. From Italy, it spreads through the rest of Europe.”
Dalrymple explained what he had done in The Golden Road: “So it’s a long relay lace of Indian influence, different ideas in different directions, but bringing them all together into a single narrative.
“So often, the story of the spread of Sanskrit is seen as something on its own, different from the spread of Buddhism, which is different from the spread of numbers.” He emphasised: “I think it’s all part of one process by which India is the beating heart of Asia, and that the Golden Road following the sea lanes using the monsoon winds, not some spurious Silk Road which never existed, is the force which knits it all together.”
That India was at the centre during this period “is not at all known in the west. Everyone knows it in India. On the current book tour (in the UK), I’ve been asking, how many know what they call Arabic numbers originated in India, and two people out of 1,000 will put up their hands – and they’re always Indian. It’s completely unknown here (in the west).
He had referred “totally tongue in cheek” to claims by some in India that there had been nuclear power in the past and people flying around.
“But this is, I think, out of the frustration that Indians have that no one in the west knows about their glorious past. This often assumes strange incarnations. And you do find, often on the internet, people talking about nuclear weapons in Kurukshetra and or plastic surgery in early India.
“And one of the jobs this book is trying to do is parse fact from fiction.”
He talked about the genesis of The Golden Road: “When I was growing up, I was always interested in archaeology. I got into university doing archaeology, and then ended up doing history and art history. So the two have come together. In my teens, I was digging on archaeological sites.
The temples sparked a curiosity about Indian cultural exports in the author
“And when I first went to India, the places I was going to were Ajanta, Ellora, Sanchi and the ancient sites. I think my teenage self would be very surprised to learn that I spent most of my professional life writing about the 18th century.
“The idea came when I was visiting Angkor Wat. I was very surprised to see representations of Kurukshetra and the Battle of Lanka sitting in the middle of the Cambodia, stories which originated in northern India represented so far from home.”
He started working on The Golden Road after his last book, The Anarchy: The Relentless Rise of the East India Company, was published in 2019.
In his FT Weekend lecture, Dalrymple began by showing a picture of a Buddha’s head which was discovered two and-a-half years ago. “It’s about the most multicultural object you could imagine from antiquity. This Buddhist head was discovered improbably on the Red Sea shores of Egypt, even more improbably carved in Prokonnesian marble from the Marmara, judging by the drill used for the tortellini curls of the Buddha’s head. It represents, obviously, the Buddha, an Indian holy man whose faith had only just at this point begun to emerge from the north Indian plains, but shown somehow transformed into a sort of Roman solar deity, Sol Invictus. Look at the wonderful sun rays coming out of the back of his head. So, every imaginable eastern and middle eastern and Mediterranean world is converging in this one object.”
For an FT travel piece, he had gone to Angkor Wat in Cambodia. “Reading about something which is put up by an Indian sea captain in an Egyptian temple in the Roman Empire to mark his safe arrival on a ship from Kerala, I realised that there is a story here, the incredible spread of Indian culture.
“We think of these countries as far apart, but using the speed of the monsoon winds, it takes only 40 days to sail from Kerala to the Red Sea coast in Egypt. If you get the winds right, the monsoon winds reverse for the next six months, and you can come back with equal speed. It has meant that Indian sailors on both coasts can propel themselves at speed, first westwards to Egypt and the Persian Gulf, and then from the east coast eastwards to the Malacca Straits and beyond China. So, India is geographically primed to be a major maritime power.”
To Eastern Eye, he made it clear that his book was “a work of history. It’s not a work of contemporary geopolitics. It’s not a political or economic guide to modern India.”
AI can make thousands of podcast episodes every week with very few people.
Making an AI podcast episode costs almost nothing and can make money fast.
Small podcasters cannot get noticed. It is hard for them to earn.
Advertisements go to AI shows. Human shows get ignored.
Listeners do not mind AI. Some like it.
A company can now publish thousands of podcasts a week with almost no people. That fact alone should wake up anyone who makes money from talking into a mic.
The company now turns out roughly 3,000 episodes a week with a team of eight. Each episode costs about £0.75 (₹88.64) to make. With as few as 20 listens, an episode can cover its cost. That single line explains why the rest of this story is happening.
When AI takes over podcasts human creators are struggling to keep up iStock
The math that changes the game
Podcasting used to be slow and hands-on. Hosts booked guests, edited interviews, and hunted sponsors. Now, the fixed costs, including writing, voice, and editing, can be automated. Once that system is running, adding another episode barely costs anything; it is just another file pushed through the same machine.
To see how that changes the landscape, look at the scale we are talking about. By September 2025, there were already well over 4.52 million podcasts worldwide. In just three months, close to half a million new shows joined the pile. It has become a crowded marketplace worth roughly £32 billion (₹3.74 trillion), most of it fuelled by advertising money.
That combination of a huge market plus near-zero marginal costs creates a simple incentive: flood the directories with niche shows. Even tiny audiences become profitable.
What mass production looks like
These AI shows are not replacements for every human program. They are different products. Producers use generative models to write scripts, synthesise voice tracks, add music, and publish automatically. Topics are hyper-niche: pollen counts in a mid-sized city, daily stock micro-summaries, or a five-minute briefing on a single plant species. The episodes are short, frequent, and tailored to narrow advertiser categories.
That model works because advertisers can target tiny audiences. If an antihistamine maker can reach fifty people looking up pollen data in one town, that can still be worth paying for. Multiply that by thousands of micro-topics, and the revenue math stacks up.
How mass-produced AI podcasts are drowning out real human voicesiStock
Where human creators lose
Podcasting has always been fragile for independent creators. Most shows never break even. Discoverability is hard. Promotion costs money. Now, add AI fleets pushing volume, and the problem worsens.
Platforms surface content through algorithms. If those algorithms reward frequency, freshness, or sheer inventory, AI producers gain an advantage. Human shows that take weeks to produce with high-quality narrative, interviews, or even investigative pieces get buried.
Advertisers chasing cheap reach will be tempted by mass AI networks. That will push down the effective CPMs (cost per thousand listens) for many categories. Small hosts who relied on a few branded reads or listener donations will see the pool shrink.
What listeners get and what they lose
Not every listener cares if a host is synthetic. Some care only about the utility: a quick sports update, a commute briefing, or a how-to snippet. For those use cases, AI can be fine, or even better, because it is faster, cheaper, and always on.
But the thing is, a lot of podcast value comes from human quirks. The long-form interview, the offbeat joke, the voice that makes you feel known—those are hard to fake. Studies and industry voices already show 52% of consumers feel less engaged with content. The result is a split audience: one side tolerates or prefers automated, functional audio; the other side pays to keep human voices alive.
When cheap AI shows flood the market small creators lose their edgeiStock
Legal and ethical damage control
Mass AI podcasting raises immediate legal and ethical questions.
Copyright — Models trained on protected audio and text can reproduce or riff on copyrighted works.
Impersonation — Synthetic voices can mirror public figures, which risks deception.
Misinformation — Automated scripts without fact-checking can spread errors at scale.
Transparency — Few platforms force disclosure that an episode is AI-generated.
If regulators force tighter rules, the tiny profit margin on each episode could disappear. That would make the mass-production model unprofitable overnight. Alternatively, platforms could impose labelling and remove low-quality feeds. Either outcome would reshape the calculus.
How the industry can respond through practical moves
The ecosystem will not collapse overnight.
Label AI episodes clearly.
Use discovery algorithms that reward engagement, not volume.
Create paywalls, memberships, or time-listened metrics.
Use AI tools to help humans, not replace them.
Industry standards on IP and voice consent are needed to reduce legal exposure. Platforms and advertisers hold most of the cards here. They can choose to favour volume or to protect quality. Their choice will decide many creators’ fates.
Three short scenarios, then the point
Flooded and cheap — Platforms favour volume. Ads chase cheap reach. Many independent shows vanish, and audio becomes a sea of similar, useful, but forgettable feeds.
Regulated and curated — Disclosure rules and smarter discovery reward listener engagement. Human shows survive, and AI fills utility roles.
Hybrid balance — Creators use AI tools to speed up workflows while keeping control over voice and facts. New business models emerge that pay for depth.
All three are plausible. The industry will move towards the one that matches where platforms and advertisers put their money.
Can human podcasters survive the flood of robot-made showsiStock
New rules, old craft
Machines can mass-produce audio faster and cheaper than people. That does not make them better storytellers. It makes them efficient at delivering information. If you are a creator, your defence is simple: make content machines cannot copy easily. Tell stories that require curiosity, risk, restraint, and relationships. Build listeners who will pay for that difference.
If you are a platform or advertiser, your choice is also simple: do you reward noise or signal? Reward signal, and you keep what made podcasting special. Reward noise, and you get scale and a thinner, cheaper industry in return. Either way, the next few years will decide whether podcasting stays a human medium with tools or becomes a tool-driven medium with a few human highlights. The soundscape is changing. If human creators want to survive, they need to focus on the one thing machines do not buy: trust.
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