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
OpenAI says its agents solved a famous maths problem, and the credit fight began at once
For 90 years nobody could prove whether the equations behind weather forecasting always behave, one of maths' great unsolved problems. OpenAI said on Tuesday that its agents have the answer: 10,000 of them, 88 hours, and a proof a machine checked line by line. Then came the bill. Tristan Buckmaster, a maths professor at NYU, says OpenAI knew of his unpublished work and took the approach he had quietly chosen, and that an OpenAI executive asked why he would ruin his career. OpenAI denies seeing it. Terence Tao, one of the world's leading mathematicians, worries about something else: strip open problems for answers and you lose the dead ends the field learns from.
- 02
Washington names six Chinese AI companies it says copied American models
Chinese models caught up with American ones fast and cheaply. Three US agencies now say they know how. A joint FBI, NSA and US cyber security agency advisory names six companies, DeepSeek and Alibaba among them, that it says asked American models millions of questions and trained on the answers. The agencies call that the core of their strategy and doubt DeepSeek's claim that its model cost only $5.6 million to train. No court has tested it, and the method is ordinary practice across the industry, including at the labs you buy from. Microsoft's Satya Nadella has pointed out that the firms now banning it built their own on scraped web material without asking.
- 03
Meta's new agent wants your email, your calendar and your payments
Five days ago the story was what Meta would charge for its personal agent. On Tuesday it arrived. Muse sends your email, books your travel and negotiates on your behalf, and it wants your calendar, your payments, your health data and your smart home, free or at $20 and $100 a month. It sits badly next to yesterday's story about the mother whose old public posts Meta's AI turned into a file on her children. The same company is now asking for the rest. Meta says Muse runs walled off, with a second AI that asks permission before anything risky. Whether Meta is the company you hand those keys to is your call.
- 04
Mistral raises Europe's biggest ever funding round, led by Samsung
Europe has spent years talking about building its own AI while paying American companies to host it. Mistral, the French lab and Europe's only builder of top-tier models, has now raised EUR 3 billion at a valuation above EUR 21 billion. No European technology company has ever raised more in one round, and Samsung led it. Here is the tension I keep coming back to, and it runs through the whole day: Mistral sells itself on European independence, and its new shareholder list runs through Samsung, Nvidia and ASML. Its chief executive expects yearly revenue to pass a billion dollars, the number the valuation is betting on rather than the one already booked.
- 05
DeepMind has published a prediction for every possible typo in human DNA
If you want to see where AI actually changes a profession, look at genetics. Google DeepMind has released AlphaGenome Atlas, a free database predicting the molecular effect of all 9 billion single-letter changes possible in human DNA. It is thirty times the size of AlphaFold, the protein database DeepMind opened in 2022 that became standard equipment in biology labs. For a researcher hunting the cause of a genetic disease, a calculation that used to mean queuing for computing time is now a lookup. DeepMind says none of it is clinically validated, and it can only ever be one link in a diagnosis. Read the caveat, then notice how much faster that work just got.
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Da jeg var helt ung og i gang med at etablere Networkers som et af Danmarks første digitale bureauer tilbage i 1995, så lyttede jeg altid til radioprogrammet Harddisken.
Har du hørt om Anton? For et års tid siden havde jeg fornøjelsen at møde Anton Osika, som er CEO for den svenske virksomhed Lovable.
Din konkurrencefordel er ved at forsvinde. I 30 år har virksomheder bygget konkurrencefordele på det, der var svært at kopiere: teknologi, processer, medarbejdere og kunderelationer.