Spotify

Liquid AI

Spotify

Spotify operates on a freemium model. The free tier is ad-supported — users listen with periodic audio and display ads.

Spotify Premium costs $11.99/month (individual) for ad-free listening, offline downloads, higher audio quality, and on-demand playback. Family ($19.99/month) and Student ($5.99/month) plans drive additional subscriptions.

Duo ($16.99/month) covers two people.

The economics are challenging by design. Spotify pays roughly 70% of revenue to rights holders — record labels, publishers, and distributors.

This means for every dollar Spotify earns, about 70 cents goes back to the music industry before Spotify pays for anything else. Gross margins have historically been around 25-28% — razor thin compared to software companies that keep 70-80%.

Podcasting was supposed to fix the margin problem. Spotify spent over $1 billion acquiring podcast companies (Gimlet, Anchor, Parcast) and signing exclusive deals (Joe Rogan for reportedly $200 million+).

The logic: podcasts don't have the same royalty obligations as music, so margins are dramatically better. Results have been mixed — podcasting revenue is growing but hasn't transformed the overall margin structure yet.

Liquid AI

Liquid AI builds foundation models, the big general-purpose brains that power chatbots and other AI tools. The difference is efficiency.

Their models, called Liquid Foundation Models, are designed to do more with far less memory and computing power. Companies pay to use them, either through a cloud API or by running the models on their own machines.

That second option matters. A bank or a hospital often cannot send private data to someone else's server.

Liquid AI lets them keep the model in-house. The pitch to a customer is basically this.

You get strong AI without renting a mountain of expensive chips.

Spotify

Daniel Ek was a teenage tech prodigy in Stockholm who had been running web businesses since age 14. By his early twenties, he'd already made money from several ventures and retired briefly at 23 — then got bored.

Martin Lorentzon, co-founder of the digital marketing company Tradedoubler, was looking for his next venture. They met and bonded over a shared observation: people were pirating music because paying for it was terrible, not because they didn't want to pay.

In 2006, the music industry was in freefall. Napster had been shut down, but LimeWire, BitTorrent, and dozens of piracy tools had taken its place.

CD sales had dropped 40% from their peak. The record labels' strategy was suing individual downloaders — literally taking grandmothers to court for sharing files.

It wasn't working.

Ek and Lorentzon founded Spotify in 2006 with a radical proposition: make a legal streaming service that was better than piracy. Faster, easier, higher quality, and free (with ads) or cheap (with a subscription).

The technical challenge was making songs play instantly — no buffering, no lag. Ek's engineering team built a peer-to-peer caching system that made playback feel instantaneous.

They launched in Sweden in 2008, expanded across Europe, and finally reached the US in 2011 after two years of negotiating licensing deals with major labels.

Liquid AI

Liquid AI is a spinout from MIT's Computer Science and Artificial Intelligence Laboratory, better known as CSAIL. The core science came from Ramin Hasani, who spent his PhD studying the nervous system of a tiny worm called C.

elegans. That worm has just 302 neurons and still manages to move, hunt, and react to its world.

Hasani and his collaborators asked a simple question. What if you built an AI that worked more like those neurons and less like a giant static network?

The answer was the liquid neural network, a model whose internal wiring keeps adjusting even after training is done. The team incorporated the company in 2023.

Daniela Rus, who runs CSAIL and is one of the most respected robotics researchers alive, came on as a co-founder. So did Mathias Lechner and Alexander Amini, both longtime research partners of Hasani.

Spotify

Spotify grew by being better than piracy. The free tier was the Trojan horse — give people unlimited legal music for free, then convert them to paying subscribers over time.

The conversion rate from free to Premium hovers around 40%, which is extraordinary for a freemium product.

Playlist culture became the growth engine. Spotify didn't just offer music — it offered curation.

Discover Weekly, Release Radar, and editorially curated playlists like RapCaviar became cultural institutions. Getting on a major Spotify playlist could make an unknown artist famous overnight.

This gave Spotify power over music discovery that radio stations used to have.

International expansion was methodical and effective. Spotify launched country by country, negotiating local licensing deals and adapting content.

They're now in 184 markets. In markets where piracy was rampant (Latin America, Southeast Asia), the free tier was particularly effective — it gave people a legal alternative that felt just as good as stealing.

Liquid AI

The growth angle is size, or the lack of it. Most frontier models are so heavy they only run in data centers.

Liquid AI aims for models light enough to run on a phone, a car, or a factory robot. That opens doors the giants cannot easily reach.

The AMD partnership pushes the same idea. AMD makes chips, and it wants efficient models that show off its hardware.

So AMD led the Series A and became both an investor and a distribution partner. Liquid AI also releases open models to researchers, which builds a following before the sales team ever makes a call.

Spotify

The music label dependency is structural and permanent. Universal Music Group, Sony Music, and Warner Music control roughly 70% of all music.

Spotify cannot exist without their catalogs. This gives the labels enormous leverage in licensing negotiations.

They can (and do) demand higher royalty rates, and Spotify has limited ability to push back. Spotify's margins are essentially set by the labels.

Artist relations are perpetually contentious. Taylor Swift pulled her music from Spotify in 2014 (she returned in 2017).

Artists regularly complain about low per-stream payouts — at $0.003 per stream, an artist needs roughly 350,000 streams to earn the equivalent of a minimum-wage monthly salary. The "Spotify doesn't pay artists fairly" narrative is a constant PR headache, even though Spotify has paid over $40 billion to rights holders cumulatively.

Apple Music is the premium competitor. Apple bundles Music with its hardware ecosystem and Apple One subscription.

They pay slightly more per stream and don't have a free tier diluting revenue. Apple doesn't need Music to be profitable — it's a retention tool for the iPhone ecosystem.

Spotify has to be profitable as a standalone business, which is fundamentally harder.

Liquid AI

The honest problem is Goliath. OpenAI, Google, Anthropic, and Meta have raised tens of billions of dollars between them.

Liquid AI has raised under $300 million. The transformer architecture those giants use is battle-tested and improving fast.

Liquid AI has to prove its different approach not only works but keeps working as models get bigger. Betting against the most successful design in AI history is bold.

It is also the kind of bet that ends in either a great acquisition or a quiet shutdown, with not much room in between.

Spotify

Spotify Premium — the flagship subscription with ad-free music, offline listening, and on-demand playback across 184 markets worldwide. Spotify Free — the ad-supported tier that serves as the world's largest music discovery and conversion funnel.

Spotify for Podcasters (formerly Anchor) — the platform where creators host, distribute, and monetize podcasts. Hosts over 6 million podcast titles.

Spotify Wrapped — the annual personalized year-in-review feature that goes massively viral every December. Essentially free global marketing.

Discover Weekly — an algorithmically generated playlist delivered every Monday with 30 personalized song recommendations. Over 8 billion streams since launch.

Liquid AI

The main products are the Liquid Foundation Models, a family that ships in several sizes so a customer can pick the smallest one that does the job. The second generation, LFM2, arrived in 2025, including LFM2-VL vision-language models built for phones, laptops, wearables and embedded chips.

The company has leaned hard into on-device AI rather than the cloud. The focus is always the same.

Match the quality of a much larger model while using a fraction of the memory and power.

Spotify

Tencent invested $1 billion and holds a significant stake through a share swap arrangement. Technology Crossover Ventures led early rounds.

Accel Partners, Kleiner Perkins, and Goldman Sachs participated in growth funding. DST Global invested pre-IPO.

Spotify went public through a direct listing in April 2018 (not a traditional IPO — no new shares were sold, existing shares just started trading on the NYSE). The reference price was $132 a share, it opened at $165.90, and closed the first day worth about $26.5 billion.

Liquid AI

It started with a $37.5 million two-stage seed in December 2023 at a $303 million valuation, from OSS Capital, PagsGroup, Automattic (the company behind WordPress), Samsung Next and others. Angels included GitHub co-founder Tom Preston-Werner, Shopify's Tobi Lütke and Red Hat co-founder Bob Young.

Then AMD Ventures led the $250 million Series A in December 2024, which is unusual because AMD is a chipmaker, not a typical venture fund. That backing gave Liquid AI both money and a hardware ally.

When a major chip company writes the lead check on an efficiency-focused model maker, it signals a bet that the future of AI is not just bigger, it is leaner.