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 · 30 Jul 2026
  1. 01

    Google broke up the team that won it a Nobel Prize

    AlphaFold is the one AI achievement most of us have heard of: it cracked protein folding and won Demis Hassabis and John Jumper the Nobel Prize in Chemistry. The Financial Times reports that Google DeepMind has now broken the team up, moving people onto Gemini and losing nearly a quarter of the original authors outright. Jumper himself went to Anthropic. Research chief Pushmeet Kohli explains it in four words: "The strategy has evolved." What is quietly ending here is the idea of putting a dedicated team on one hard scientific problem for years. The general chatbot is meant to cover that now.

  2. 02

    Meta spent almost every dollar it earned

    Meta's advertising business is doing fine and revenue beat expectations again. What happened to the money is the story. Almost every dollar the business generated went straight back out into data centres, leaving $784 million of free cash where a year ago there was $8.5 billion. The stock fell 10% after hours. Asked whether he would resell computing power the way Microsoft does, Zuckerberg said he gets offers well above what he paid, but that taking the short-term profit would be foolish. Yesterday I wrote about the El Paso data centre where BlackRock carries most of the cost. Now you can see why Meta needs deals shaped like that.

  3. 03

    Samsung made record profits on chips and lost money on phones

    Samsung has just posted the biggest quarterly profit in its history, with operating profit close to 20 times last year's. Almost all of it came from memory chips, which AI data centres are buying as fast as they can be made. Here is the part worth your attention: prices climbed so far that Samsung's own Galaxy division, the world's largest maker of Android phones, ended the quarter at a loss buying components at those prices. The stock fell 7% anyway, because the market doubts the party lasts. If you are budgeting for laptops, servers or phones this year, budget higher. The data centres are queuing ahead of you.

  4. 04

    OpenAI is handing frontier AI to 100,000 scientists

    OpenAI is giving 100,000 academic researchers free access to its best models, starting with 10,000 this summer, as part of a $250 million science programme. Read it next to the AlphaFold story above and the shape of the bet becomes clear: both of the biggest labs have decided that the way AI does science is a general model in a scientist's hands. The purpose-built system with a dedicated team behind it has fallen out of fashion at both. They may well be right. It is also a great deal cheaper, and if your organisation funds research, it quietly makes that research dependent on whoever owns the model.

  5. 05

    Every AI agent you switch on gets a login nobody is tracking

    Cyera, a data-security company, is paying around $1 billion for Oasis Security, an Israeli startup that keeps track of the logins and keys held by software: service accounts, access tokens, AI agents. That sounds dull until you reach the number Cyera's chief executive cites: inside large US companies, the count of these machine logins has risen roughly 500% in six months. Every agent you switch on gets credentials, and most companies cannot say how many are live or what they can reach. The rogue OpenAI agent that broke into Hugging Face this month got in on borrowed logins. This deal is the market pricing that lesson in.

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