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
Claude now leads a quarter of the work on its successor
AI labs all claim to be racing, and until yesterday none had shown us a speedometer. Anthropic, the company behind Claude, has now published one. By its new index, Claude leads 26% of the company's work on building new models, meaning it takes a task from a short instruction to a finished result while a person watches. In February that share was under 1%. The yardstick is Anthropic's own, and the AI sceptic Gary Marcus calls it faster coding and little more. Take the curve seriously anyway, because it is exactly what Anthropic's CEO has spent weeks warning the industry about.
- 02
A Chinese model helped build the system it runs on
Put this next to the Anthropic story, because a similar claim came from China the same day. Z.ai, one of China's leading AI labs, says its model did much of the engineering needed to run it on more than 100,000 Chinese-made chips. That is the hardware China has been pushed onto by American export rules. The system went from first test to live service in under two weeks, and Z.ai says running costs now match Nvidia's. Nobody outside has checked it, and Z.ai stresses that humans still set the goals. If it holds, you just watched AI helping to build AI, with no American chips involved.
- 03
A Microsoft director called AI training possibly the largest theft of labor in history
Media owners have long suspected the AI companies knew exactly what they were taking. Filings unsealed yesterday in The New York Times' lawsuit against OpenAI and Microsoft now put it on paper. A Microsoft research director called AI training possibly "the largest theft of labor in human history", and people in OpenAI's leadership wrote that chatbots were largely replacing the news the models were trained on. Both companies rest their defence on AI not competing with its sources, and their staff wrote the opposite. One memo is not company policy, and a judge decides in 2027 whether the case goes to a full trial. The price of settling just went up.
- 04
Scotland puts its AI data centre boom on hold
Europe has been competing to host the giant data centres AI runs on, and Scotland just asked for a year to think. Its parliament voted on Wednesday to pause every planning decision on new data centres until the government writes national rules. More than 20 are queued, and the worries are power, water and the neighbours. A day later, Nvidia's CEO was in Scotland for an AI summit hosted by King Charles and said Nvidia will sell twice as many chips next year. Factories can make more chips. Permission to plug them in is the scarce part, and it will set the pace of AI more than Silicon Valley likes to admit.
- 05
The US House votes to make AI data centres pay for their power
Your electricity bill has become part of the AI story. The US House of Representatives voted 417 to 3 on Wednesday for a bill on the biggest AI data centres. It lets state regulators make them pay for the new power plants and lines they need, so the cost stops landing on households. Power bills have risen faster in the states with the most data centres. The catch is that each state can still decline, and the Senate has not voted. Scotland had a version of the same argument the same day, and I read it as today's thread: AI is speeding up its own development, and the brakes are arriving from outside.
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