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 · 19 Jul 2026
  1. 01

    AI's top bosses now travel with armed bodyguards

    Here's the story that stopped me this weekend: the people building AI are now afraid of the people it affects. The Wall Street Journal reports that top AI executives travel with armed guards, and some have gone silent in public to avoid becoming targets. Earlier this year a 20-year-old tried to firebomb Sam Altman's home, and an intruder walked into Anthropic's HQ with a note saying an executive would be killed. Security budgets for tech CEOs didn't exist a few years ago; now they're a fixed cost, and if you build or sell AI, the backlash just stopped being abstract.

  2. 02

    Google Search now shops, designs and DJs for you

    Google just turned Search into something that acts for you. Its AI Mode now plugs into three apps, Instacart, Canva and YouTube Music, so you can ask for a recipe and drop the ingredients straight into a cart, ask for a design and get templates back, or spin up a playlist without ever leaving the results page. This is the shift I've been watching for: search moving from answering questions to finishing tasks. It's US-only and English-only for now, but when the world's biggest search engine starts running your errands, "search" stops meaning what it used to.

  3. 03

    China's DeepSeek chases a $74 billion valuation

    China's DeepSeek is raising money at a $74 billion valuation and lining up a Shanghai IPO later this year. Here's what makes them dangerous: they price their models up to 75% below the US rivals, and that cheap-and-good-enough playbook is exactly why you can't ignore them. The numbers and timeline are still early and could move. But while Western bosses hire bodyguards, China is getting ready to raise billions on a market it's busy driving the prices down on.

  4. 04

    Fireworks AI raises $1.5B betting on small models

    Fireworks AI just raised $1.5 billion at a $17.5 billion valuation, and where the money goes tells you where enterprise AI is heading. Companies don't want one giant model anymore; they want small, specialized ones tuned to their own data, and Fireworks now serves more than 40 trillion tokens a day doing exactly that, with revenue up 5x in a year. The bet you're watching play out: the future of business AI is lots of cheap specialists, not one expensive genius.

  5. 05

    Anthropic wants to rent $10B of compute from rival Meta

    Here's the odd couple of the week: Anthropic is reportedly in talks to rent around $10 billion of computing power from Meta, a company it competes with head-on. That's how tight the compute crunch has gotten, even the labs racing to beat each other now have to buy capacity from the rivals who own it. If you want proof that chips and data centers, not models, are the real bottleneck in AI right now, this is it.

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