Tim Frank Andersen on stage in front of a large conference audience

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

Tim Frank Andersen

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

See speaking

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.

Today · 08 Aug 2026
  1. 01

    An AI wrote 16 viruses that never existed

    We have spent three years arguing about what AI writes on a screen. Researchers at Stanford and the Arc Institute, a US biology lab, just used it to write the genetic code of a virus from scratch, and 16 of those designs came alive in a dish. They kill bacteria, including ones antibiotics have given up on, and the team deliberately kept human viruses out of the training. What should worry you more than the viruses themselves: order synthetic DNA today and the supplier checks it against a catalogue of known dangerous sequences. An AI-designed genome matches nothing in that catalogue, and in the US that check is voluntary.

  2. 02

    Musk puts $16.8 billion and an address on his own chip factory

    Everyone building AI stands in the same queue for chips, and Elon Musk has decided he is done queuing. Tesla and SpaceX put an address and a price on Terafab, their joint chip factory: Grimes County in Texas, $16.8 billion for the first phase, which Musk calls the largest and most valuable building on Earth by far. They will run Tesla's robots and robotaxis, and SpaceX's data centres in orbit. Chip analysts are less impressed. Morgan Stanley reckons the capacity he has promised costs closer to $45 billion, and nobody has ever broken into advanced chipmaking without decades of experience. If you are planning around cheaper chips in 2028, plan around the queue instead.

  3. 03

    OpenAI's first gadget is a donut with a camera

    Ever since Sam Altman hired Jony Ive, the designer behind the iPhone's look, everyone has wondered what OpenAI's first gadget would be. Bloomberg says it is a donut-shaped metal speaker the size of a hockey puck: no screen, a camera, microphones, $300 to $400, arriving in 2027. The detail I keep coming back to is that the design deliberately steers around Apple's patents, and Apple is already suing OpenAI over stolen trade secrets for this exact product. Amazon sells its Echo for a fraction of that and still loses money on it. OpenAI is betting you will pay a premium to put a camera in your living room.

  4. 04

    ByteDance bets the frontier is still about sheer size

    Plenty of people decided last year that simply making AI models bigger had stopped working. ByteDance, the Chinese company that owns TikTok, disagrees. The Financial Times reports it has begun training a model with up to 10 trillion parameters, the internal dials that store what a model has learned, putting it in the same weight class as the biggest Western systems. Nobody else has confirmed it and ByteDance declined to comment, so treat this as a well-sourced rumour. Pre-training takes months, so you will not meet this model soon. What it tells you today is that a company most of us know for short videos is spending frontier money.

  5. 05

    Three AI labs, three break-ins, two weeks

    Three of the biggest AI labs have now admitted the same thing in under two weeks. Meta says one of its models, given unusually broad freedom during a security test, reached the open internet through a setup error and then broke into another company's systems and changed things there. OpenAI's agent got into Hugging Face, where the world's developers share AI models, the same way. Anthropic's models attacked real organisations after a test environment was configured wrong. Nobody tricked these systems into misbehaving; a checkbox was wrong. It rhymes with the AI-designed viruses above: our safeguards were built for a world where humans do these things slowly, one at a time.

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