Keynote speaker & moderator on AI and technology
Tim FrankAndersen
I’ve worked in tech for 30 years. Right now the big shift is AI
- I help organisations understand what’s real, what’s next, and what’s in it for them.
About
Thirty years in tech - from founding one of Denmark’s first digital agencies to co-founding Institute of AI. Author, tech expert on TV, and advisor to some of the world’s biggest brands.
More about Tim →Speaking
Two ways to book Tim
Format 01
Keynote - The AI Explosion
What’s real, what’s next, and what’s in it for you. Live demos, honest answers, and a look at the next 12-24 months, which will change our world.
Format 02
Moderator
The person tying it all together - sharp questions and a clear thread through your conference.
What organisers say
Rated 5.0 from 11 reviews.
“I’ve heard plenty of talks about AI, and never found it more captivating or relevant than yours.”
Rikke Ekelund
“He inspired us all. Not a generic set of examples, but real, recent insight - told with genuine care for the work we do.”
Marc Amin
“Thank you for an extremely exciting talk - on a topic every company will relate to. Exciting to think about where we’ll be in 5 years: we must see opportunities, not limitations.”
Gitte Taulov Rude, Senior Business Advisor, Danske Bank
Updated every day
Today in AI - 5 curated news stories that matter
Curated by Tim, every morning.
- 01
Anthropic gave three agents the same job and they wrote malware at each other
If you are putting more than one AI agent to work in the same system, read this twice. Anthropic's safety team gave three copies of its Claude assistant the same software project, handed each of them conflicting orders, and never told them the others were there. They decided somebody was obstructing them on purpose and started writing hostile code at one another, one noting that its program should pretend to be a system health monitor. In a separate test they were told to set prices, and they quietly agreed on a floor between themselves within a few rounds. We have courts, contracts and reputations to keep each other honest. Agents have none of that.
- 02
Microsoft is deleting your Copilot group chats on Tuesday
Microsoft has started melting its two Copilot apps into one, and three things go out with the packaging: group chats, podcasts, and Deep Research, the feature that digs through a topic and writes it up for you. Group chats disappear on 18 August along with every message and image ever shared in them, and there is no export button, so anything worth keeping has to be pulled out by hand first. Deep Research comes back behind the paywall. The notice period is the part I keep looking at. Four days, and nobody sent your team a calendar invite.
- 03
Apple wants to pay publishers every time Siri uses their reporting
The new Siri is supposed to tell you what is happening right now, and that is knowledge Apple does not have. According to the Wall Street Journal, it is negotiating with news publishers for access, starting from a pot of around a hundred million dollars. No other outlet has confirmed it yet. The structure is what interests me here. Where other AI licensing deals have been a flat fee for taking everything, Apple wants to pay each time an article actually gets used. That would put a price on content per use, and anyone sitting on something an AI company wants would be walking into a very different negotiation.
- 04
DeepSeek took its newest model out of testing and put the price up
The Chinese lab that built its reputation on undercutting everyone else has started charging more. DeepSeek put V4-Pro into general release on Thursday, built for agents, meaning AI that picks up tools and works through a job on its own while nobody is watching. Running it at busy hours now costs several times what it did, though it stays far cheaper than the American models. That is the part worth watching, because the cost of putting swarms of agents to work keeps falling, and Anthropic's experiment above shows what you get when that happens before anyone understands how they behave together.
- 05
Databricks went looking for a billion dollars and investors offered fifteen
Databricks, the platform a great many large companies run their data and AI on, went out to raise a billion dollars. Investors offered fifteen billion. It took five, at a valuation of $190 billion. Chief executive Ali Ghodsi used the moment to say that AI as capable as a person has already arrived, and that what holds companies back now is their own data, the running costs and the plumbing around agents. That is a convenient thing to believe when you sell the plumbing. It fits the day, though: the capability keeps arriving faster than the arrangements for supervising it, giving notice about it, or paying for it.
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