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Showing posts with label ChatGPT. Show all posts
Showing posts with label ChatGPT. Show all posts

07 November, 2025

AI changes Search - lifeblood of today's internet



Matthew Prince, the co-founder and CEO of Cloudflare was interviewed by Amol Rajan, a BBC journalist here. (This podcast may not be available outside of the UK).

It was a very interesting discussion with someone who is really thinking hard about the future possible business models of the internet with the existence of mass AI.

Matthew carries some clout as Cloudflare acts a significant gatekeeper in between internet users and content hosted on the internet. They respond to 81m internet requests per second and manage 20-25% of internet traffic and see 6 billion people on the internet (ie the global population). They see themselves as one of the guardian of the internet.

Existing Search is like a treasure map 

Existing search is treasure map - it's not precise, a user still had to search around on the destination page to discover the answer to their question. They might click on multiple links and cross reference the information elsewhere, but each user views multiple pages, which is the lifeblood of the internet.

AI is an answer engine

Now AI creates an answer engine - there's no intermediary and there is much fewer page views. There's no digging and no critical analysis. (And as a side note, there is less critique of the AI's response - it is taken as fact, with no thinking!)

Crawls per visitor

The historical 'deal' is that search engines could copy the content on any page so that the content creator's page appears on the treasure map. And in return, the search engine would return traffic back to the site from the search results.

  • 10 years ago, the ratio of crawls to page view was two crawls for every visitor received. 
  • Today, that ratio has shifted to 20 crawls to 1 visitor, due to AI overviews, now embedded at the top of the results from the big search engines.
  • For OpenAI, that ratio is 1,500 crawls to 1 visitor
  • For Anthropic, it is 40k crawls per visitor!

So yesterday's business model now longer works. And content creators need a new deal.

The future scenarios

Scenario 1: Content creators wither and die
But Matthew thinks that's unlikely: answer engines need new and constant evolving content - this is the fuel that drives the internet

Scenario 2: Black Mirror scenario 
There is a cabal of (say) 5 major powerful AI engines + their family of content creator groups. The revenue from the AI engines can afford to pay for content creation for their AI engines. 
Matthew shudders at this dystopian outlook, as it over concentrates power in these behemoths. 

Scenario 3: Traffic isn't the metric that matters. 
A new value exchange will arise using a new metrics. That hasn't been discovered yet.

Internet Content is like Swiss Cheese

Knowledge on the internet is kinda like Swiss cheese - mainly solid, but with some holes in it. And people will get compensated for filling in the holes. 

And yes, there precedent for this: there is a guy that makes €40m from picking up all the Spotify search results which didn't return much content. This guy then creates music for these unfulfilled requests eg music with disco beat about dancing with your cat.

Matthew's solution

The existing search deal continues, but the Search Engines are forced to crawl a site twice: once for search and once for AI. Their crawlers are clearly labelled, so that content creators still benefit from search visitors, but they can block AI crawlers. 
Presumably both side await a new compensation arrangement between AI company and the content provider - a model that hasn't been found yet.

09 January, 2023

ChatGPT for product management

With the release of OpenAI’s ChatGPT at the very end of November last year, there has been an explosion of enthusiasm. Here’s their trajectory to a million users!


(Thanks to Azeem Azhar of Exponential View)

Initially, the response was ‘Look at this cool poem that ChatGPT wrote.’ Thankfully more considered use cases are now developing.

So here are my thoughts on how ChatGPT can help Product Managers:
Broad Use Cases Use Cases for Product Management
Summarisation of a long body of text Summarising large amount of texts for requirements analysis
chatGPT is surprisingly competent at summarising text eg for condensing a whole list of free-form product requests from customers into a couple of pithy themes.
And the inverse, extrapolation of short body of text. Writing product descriptions for product marketing.
a. Reinterpreting features to benefits
b. Rewriting product marketing copy for particular audiences
Variation of an existing body of text Wearing your product marketing hat, you have written some descriptive words, but they need some help or the body of text needs to be shorter to fit into a text box on the website or on your PowerPoint.
Initial research into a topic or industry As Product Managers, we spend a lot of time trying to make sense of a market / customer / technology / product / service. I can see myself using chatGPT as a great start to understanding the four walls of a market.

Market research: what do I need to know about XYZ? What’s new and important in the XYZ sector? Who has the competitive advantage and why in XYZ sector?

It’s great a high-level summaries, but not good enough for the details that matter.


As always the devil is in the details, but at least it gives the Product Management some boundaries and some structure to start with. And you would never submit the output from ChatGPT as your completed, best thoughts, BUT it does provide a start and save on that first half hour / blank canvas problem / writer's block when you’re wondering where to start from.

ChatGPT for managers

One great advantage is that it can create consistency when you have review or compare work from multiple teams. By getting your teams to start with ChatGPT's output, then at least all the teams have started from the same point with their use case (not using a template).

What it won't do effectively?

Some have claimed that it could be used to write product requirements. Nope – well, not to a meaningful level and certainly not good enough to give to a developer.

Cute Use Cases

Side Notes on OpenAI
  • Who are their investors - it's always useful to know where the money flows. 
  • Y Combinator
  • Peter Thiel (founder of Paypal)
  • Reid Hoffman Foundation (founder of LinkedIn)
  • Khosla Ventures 
  • Elon Musk did invest, but has now sold off his stake
  • Microsoft Ventures ($1bn investment in 2019 + MS has built a supercomputer in Azure to support OpenAI ML research)

OpenAI have more complex corporate structure than most: there is for-profit corporation OpenAI LP and its parent company, the non-profit OpenAI Inc. AND in 2019, OpenAI transitioned from non-profit to "capped" for-profit, with profit cap set to 100X on any investment. (Source: Wikipedia)