Karsten Weide

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Karsten Weide

Karsten Weide

@KarstenW

AdTech influencer. Drive demand for your products with our articles, posts, infographics, videos, appearances. Custom research: competitive info, TAMs, surveys.

San Francisco, CA 가입일 Haziran 2008
1K 팔로잉2.5K 팔로워
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Karsten Weide
Karsten Weide@KarstenW·
Here are @WMediaResearch's Top 10 Trends in Advertising in 2026! 1. The Big Short: The Hidden Risks Lurking Beneath the Forecasts 2. There Will Be Blood: The Supply-Chain Shakeup 3. Honey, I Shrunk the Art Department: Gen-AI Taking Over 4. Advertising Wars: The Rise of AI Agents 5. Rules of Engagement: The Protocols Fueling the Agentic Era 6. No Country for Old Cookies: The New Identity Playbook 7. Measure for Measure: Can We Keep Up With Signal Loss? 8. The Verdict: The Post-Google Era Begins for the Open Web 9. The Day After Tomorrow: The Zero-Click Search Apocalypse 10. I, Agent: When Bots Buy - What Happens to Advertising? READ all 10 trends for FREE here: Everything Everywhere All at Once: The Advertising Revolution Of 2026 wmediaresearch.com/2025/12/01/the… Companies covered: @Adobe, @AdRoll, @Albertsons, @amazon, @AppLovin, @criteo, @Disney, @doubleverify, @epsilon, @Google, @humansecurity, @IABTechLab, @IndexExchange, @integralads, @Meta, @Microsoft, @MSAdvertising, @Novacap_HQ, @OpenX, @prebidorg, @PubMatic, @Rockerbox, @Sincera, @TheTradeDesk, @TikTok, @Yahoo.
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Karsten Weide
Karsten Weide@KarstenW·
A lot of talk a lot how it might never be possible to let (LLM-based) AI agents be completely autonomous, especially in high-risk areas such as law, finance, and medicine. The implications for advertising are that a) advertisers are right to set up guardrails and to keep a high degree of human oversight at this early stage, and b) that there will always be some degree of human oversight.
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Karsten Weide
Karsten Weide@KarstenW·
@goldenboygym My heart goes out to you. The worst thing that can ever happen to a human being is losing a child. ❤️
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金子謹也
金子謹也@goldenboygym·
今日は11歳でこの世を去った息子の誕生日です。 生きていれば22歳、青春の真っ只中だったでしょう。 人の記憶に残る間は、その人は生きていると言いますし、私と一緒に心の中で祝ってやってください。 そして、改めて家族の、親子の素晴らしさを思うきっかけになれば幸いです。
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Sean Frank
Sean Frank@Seanfrank·
I love LA. But if it wasnt for the weather, we would be the poorest city in the country. Im legitimately worried the city cant be saved. Hollywood is shedding jobs. The people mover is sitting idle at LAX. Every neighborhood has empty storefronts. 1 house has been rebuilt in the palisades. Covid was 6 years ago. We cant keep blaming covid. We cant blame trump when every single office in the city, county, state is one party. I pay a lot of taxes to stay in this city. Hundreds of thousands of dollars or more. I dont want to run, but at a certain point its just logical to cut your losses. Population declines. Billions in fraud. Schools are now some of the worst in the country, being beat by Mississippi. Good thing it is fucking sunny, or else this place would fall into the ocean.
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Ian Atwood
Ian Atwood@AtwoodIan32412·
If OpenAI goes through $TTD, Trade Desk gets a new premium supply source at the exact moment its CTV growth is decelerating and open-web display is under structural pressure from AI Overviews. That's not a ChatGPT story, but that's one hell of a $TTD story.
Eric Seufert@eric_seufert

x.com/i/article/2037…

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Karsten Weide
Karsten Weide@KarstenW·
W Media Research is celebrating its 3 year anniversary! As a Thank You for our clients and followers, we’re rolling out a special offer: all research documents are just $500 - for a limited time only! For instance: Whitepaper: When Bots Buy – What Happens To Advertising? wmediaresearch.com/downloads/whit… If you’ve been thinking about leveling up your AdTech insights, now’s the time!
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House Targaryen
House Targaryen@FantasyEpics·
Game of Thrones really gave Emilia Clarke nothing after 10 years… 💀
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British Miss
British Miss@CleansedTweets·
How do people who lived through the 80s and 90s stomach today. I can’t fathom it. Surely you must be depressed?
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Karsten Weide
Karsten Weide@KarstenW·
Gigantic AI hangover for just about everyone in 3, 2, 1…
Aakash Gupta@aakashgupta

$122 billion raised. 18 months of runway. That means OpenAI is burning roughly $6.8 billion per month. For context: NASA's entire annual budget is $25 billion. OpenAI will spend that in less than four months. The math gets worse when you look at the capital structure. Amazon committed $50 billion, but $35 billion of that is contingent on OpenAI either going public or achieving AGI. NVIDIA put in $30 billion, largely in compute credits rather than cash. SoftBank added $30 billion. When you strip out the contingent and non-cash commitments, the actual liquid capital is significantly less than the headline number. OpenAI generated $13.1 billion in revenue in 2025. They're now at a $24 billion annual run rate. Internal projections show $14 billion in losses for 2026 alone, with cumulative losses expected to hit $115 billion through 2029. The company's own target is $600 billion in compute spending by 2030. The burn rate is accelerating, not stabilizing. Inference costs quadrupled in 2025. Gross margins collapsed from 40% to 33%. They started running ads in ChatGPT after leadership previously called it a "last resort." HSBC's analysts concluded OpenAI faces a $207 billion funding shortfall to execute its growth plans. Even after today's round. This is a company generating $2 billion a month in revenue that still loses money on every query it processes. The largest private funding round in history buys them a year and a half before they need to go back to the same investors or IPO into a public market that will demand something no AI company has yet produced: a profit.

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Karsten Weide
Karsten Weide@KarstenW·
W Media Research is celebrating its 3 year anniversary! As a Thank You for our clients and followers, we’re rolling out a special offer: all research documents are just $500 - for a limited time only! For instance: How AI Search Threatens Pubs And Vendors – And What To Do About It wmediaresearch.com/downloads/how-… If you’ve been thinking about leveling up your AdTech insights, now’s the time!
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Lars Christensen
Lars Christensen@MaMoMVPY·
I completely agree - the plateau has been pretty clear for 6-8 months. There really isn't any progress on the core LLM models. Where there is progress is where the models are used and how they are used, and here it is really only Claude that is getting better. But even Claude is not progressing in a straight line - the non-English use of Claude is certainly not getting better. For example, Danish or Icelandic use of Claude is worse today than six months ago. We are clearly in the overfitting stage. The models are not improving anymore, and more and more training content is LLM-generated as more and more available texts out there are fully or partly written with LLMs (we all do it - and I am happy to admit it). But we also know that training LLMs on LLM output will eventually lead to model rot. This seriously limits scaling. There are lots of productivity gains to be had from using LLMs, but it is now nearly 100% about implementation - not about getting better models. The technology itself might very well have stalled.
Ewan Morrison@MrEwanMorrison

This is called the Large Language Model Plateau. The AI system have already reached their peaks. Scaling won't improve them. All that Data Centre building is pointless.

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Alex B
Alex B@bprintco·
I listed a really nice leather couch for Free once on FB Marketplace because I was moving out of my old apartment and needed it gone in a couple hours. Probably worth $1200. This small lady showed up with no help. I had to carry it down to her car. It was a small SUV, you could barely put one cushion in this thing. She asked if I had a truck and could drive it to her house. I did have a truck, and reluctantly agreed. Nobody was there to help unload it either so she asked me to unload it. I took it out of my truck and took it to her porch and left. She left me a bad review because I didn’t bring it inside her house for her. I should have just tossed it in the dumpster.
Dr. CZ@AngelMD1103

This is EXACTLY why people are DONE with Facebook Marketplace… 📦 She literally listed two egg chairs for FREE. Not discounted. Not negotiable. FREE. Clear picture. Clear description. One chair had a cushion, one didn’t. That’s it. And somehow… it STILL turned into chaos. Message after message, people asking questions already answered, trying to negotiate a price on something that costs $0, acting confused over the most basic details. It went from “I’m giving this away” to pure frustration real fast. That’s when she snapped, FULL rant mode. And honestly? A lot of people are saying she just said what everyone’s been thinking. Because, how does “free” still turn into this much drama?? At some point it’s not even about the item anymore… it’s about dealing with people. Be real, has Facebook Marketplace become more stress than it’s worth? And what’s the most ridiculous message you’ve ever gotten trying to sell (or give away) something?

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Ian Atwood
Ian Atwood@AtwoodIan32412·
OpenAI talked to $TTD about selling ChatGPT inventory through programmatic rails. The moment this hits a DSP, the $60 CPM scarcity premium evaporates. Every premium ad surface in history has followed the same arc: managed --> programmatic --> compressed. (see: $NFLX).
Eric Seufert@eric_seufert

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Karsten Weide
Karsten Weide@KarstenW·
@Rahatcodes In another year, when encountering grumpy users, it’ll run to its virtual safe space, set SULK=TRUE and won’t interact with those users anymore.
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rahat
rahat@Rahatcodes·
Claude Code has a regex that detects "wtf", "ffs", "piece of shit", "fuck you", "this sucks" etc. It doesn't change behavior...it just silently logs is_negative: true to analytics. Anthropic is tracking how often you rage at your AI Do with this information what you will
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Karsten Weide
Karsten Weide@KarstenW·
The one major general criticism I have is that they lumped in search and social with display and video, which doesn’t make much sense. (And is also not how most people use the term “omnichannel”.)
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Karsten Weide
Karsten Weide@KarstenW·
@verklin @realroseceline Correct. But as a buyer you never know if the walled garden favored their own inventory over the open Internet one for no other reason but financial ones.
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Ryan Verklin
Ryan Verklin@verklin·
@realroseceline $AMZN and $GOOG have their own DSPs that also buy inventory from the Open Internet
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Rose Celine Investments 🌹
Rose Celine Investments 🌹@realroseceline·
My thoughts on $TTD I think $TTD is a good value here. The main reason is simple. Most people don’t actually understand what the business does, so they end up arguing about the moat, growth and multiples without understanding what it really is. $TTD doesn’t own content, doesn’t have users, and doesn’t sell ads like $META or $GOOG. At first glance that looks like a disadvantage, but I actually think it’s the reason the business works. The open internet is extremely fragmented. Millions of sites, apps, streaming & audio platforms, no single owner or standard pricing. Without someone organizing that, ad dollars get spent inefficiently, and that’s exactly what $TTD does. They decide for the advertiser where the money goes in the so called “open internet”. They don’t own anything, they just control the decision, and that ends up being a much more important position than people realize because the most valuable part of advertising isn’t the content, it’s deciding where budgets get allocated. That’s also why the big platforms don’t allow it. $META, $GOOG, and $AMZN keep everything inside their own systems because they want control of the dollars, so what you end up with is two different worlds, closed systems where everything is controlled internally, and the open internet where someone still has to decide how money flows, and at scale that’s $TTD. There are other DSPs, but none with the same scale, data, relationships, and infrastructure, and in this kind of business scale compounds. More data leads to better decisions, better decisions lead to better ROAS, and better returns lead to more spend, so the system reinforces itself over time. It’s a flywheel similar to $MELI. This is also why take rate is less important. ROI is what matters, because if someone is cheaper but performs worse they lose, and if $TTD is more expensive but makes advertisers more money they win, and that’s why performance is so hard to compete with when you have the most data. The economics reflect that because $TDD is an asset light business doing over 40% EBITDA margins, with strong cash flow and a very clean balance sheet, and on top of that you have the CEO buying around $150m of stock in the open market. At the current price the market is treating this like a normal ad tech business with slowing growth, but if they keep this position as the default way advertisers allocate money across the open internet, then even modest growth combined with these margins can compound into something much more valuable over time, and that’s really the part I think is being underestimated. And lastly yes there are issues, if there weren’t $TTD would still be trading at 20–30x sales like it did before. SBC is high and growth has slowed, and there is always the risk that more ad dollars move into closed systems where $TTD has no control. But on the other side retention is extremely strong (over 95% for many years), and there isn’t real competition at scale outside the walled gardens, so once advertisers are on the platform and getting results they don’t leave, and that dynamic is a big part of why the model works despite the concerns, at least in my humble opinion. 🌹
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