Thor Ernstsson
New York, New York, United States
6K followers
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6K followers
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Thor Ernstsson reposted thisThor Ernstsson reposted thisHow do you convince millions of people to spend real money on a digital tractor that doesn’t actually exist? Most people think Zynga just got lucky with FarmVille. They think a few executives sat in a room, looked at a whiteboard, and "invented" a billion-dollar opportunity. The truth is much more boring. Zynga didn’t guess. They just tested. They built a culture of "thousand small bets." They weren't making one giant leap into the dark; they were running continuous, rapid hypothesis tests at a an industrial scale. Run thousands of experiments, actively try to invalidate over 80% of your hypothesis, learn from 100% of them. They de-risked the innovation journey by turning "discovery" into a repeatable, scientific capability. When our founder, Thor Ernstsson, left Zynga to tackle new opportunities in the healthcare space, he hit a brick wall. It turned out that, in regulated environments like healthcare or finance, running experiments with your target customers and "failing fast" is often not an option. He realised that the "speed to truth" he had at Zynga shouldn't be a luxury reserved for social games. It should be the standard for every enterprise. That realisation is why he and Anuraag Verma built Feedback Loop, and ultimately, ArcticBlue AI. They wanted to package that Zynga-style capability — the ability to test hypothesis at scale and pivot before you waste millions — and made it accessible to even the most complex industries on earth. Today, every C-Suite executive is looking at AI as their next "Big Bet." But big bets without rapid testing are just expensive gambles. Whether you’re in healthcare, insurance, or tech, the goal is the same: find the billion-dollar opportunity without betting the whole farm. We’re here to help you do exactly that. What’s the biggest "leap of faith" your team is taking with AI right now? Let’s talk in the DMs.
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Thor Ernstsson reposted thisThor Ernstsson reposted this76% of Americans don't trust AI...or so says new research from Quinnipiac. Also 30% think that it's going to take their job. Interesting world around the corner. https://lnkd.in/dsRAyjDd
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Thor Ernstsson posted thisWhy do we need Moltbook if LinkedIn is already a social network for AI agents?
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Thor Ernstsson reposted thisArcticBlue is proud to partner with Zain on their journey to embed AI into their operations and empower their teams with future-ready digital capabilities. Our program is focused on practical applications of artificial intelligence, fostering innovation and smarter ways of working across the organization. Exciting to see forward-thinking companies like Zain leading the way in digital transformation. ... and thanks for the award!Thor Ernstsson reposted thisZain Bahrain hosted an AI Masterclass for its employees in partnership with ArcticBlue AI, as part of its ongoing efforts to integrate artificial intelligence into its operations and enhance digital capabilities across the company. The initiative aligns with Zain Bahrain’s focus on building digital capabilities, empowering its people, and fostering smarter, more efficient ways of working through emerging technologies ————————— نظمت زين البحرين ورشة عمل حول الذكاء الاصطناعي لموظفيها بالتعاون مع Arctic Blue AI، وذلك في إطار جهودها المتواصلة لدمج تقنيات الذكاء الاصطناعي في عملياتها وتعزيز القدرات الرقمية في الشركة. تأتي هذه المبادرة ضمن استراتيجية زين على تطوير القدرات الرقمية وتمكين موظفيها واعتماد أساليب عمل أكثر كفاءة وذكاءً من خلال التقنيات الحديثة
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Thor Ernstsson shared thisNothing beats trying to catch up on emails on Amtrak wifiThor Ernstsson shared thisIt was a holiday weekend, but from the looks of my inbox, a lot of you were working!
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Thor Ernstsson posted thisAt a big co, it’s risky to take on a project or responsibility that’s outside of your job description. At a startup, it’s literally your job. Take on whatever the team needs. “That’s not my job” is just not a thing. What are some good examples of unusual startup "jobs"?
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Thor Ernstsson shared thisCan’t wait to get a conference glove! What features should be next??
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Thor Ernstsson posted thisAt later stage startups, you want people who can follow and scale the playbook. At an early stage startup, you want people who can create the playbook. It’s a very different skill set. Hire people who can: - Tolerate ambiguity - Have innate curiosity - Bounce back after failure - Change course quickly - Do whatever the team needs On that note, we're hiring at Strata (strata.cc)... will post a link in the comments.
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Thor Ernstsson posted thisTo scale a new company, start by building a community. Find the first 10 people who actually care about what you’re doing. Then the next 100. Then the next 1,000. And so on. Eventually you can obsess over data, but you have to start by obsessing over your customers. You can’t possibly get enough data in the early days anyways. And your metrics will improve if you’re building a real community.
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Thor Ernstsson liked thisThor Ernstsson liked thisAge 12: Started caddying at a local country club. Age 19: Ran for city council. Lost. Built a life-changing network. Age 22: Night club doorman in London to afford train pass. Age 26: Entry-level at Deloitte. Terrible at spreadsheets. Nearly fired. Age 28: Youngest CMO in Deloitte’s history. Age 30: Youngest Global CMO of Starwood Hotels. Age 34: Walked away to run a startup with zero revenue. Age 36: Sold the company. Age 37: Wrote Never Eat Alone, it hit NYT Bestseller. Age 43: Wrote Who’s Got Your Back. Second NYT Bestseller Age 48: Pioneered research on remote teams years before the world caught on. Age 50: Went through a devastating breakup. Single for the first time in 20 years. Age 54: Published Leading Without Authority as the pandemic rewired work forever. Age 57: Davos. Sharing my research with world leaders. Age 58: Thinkers50 award. Published Never Lead Alone, sharing my life’s work on how teams should actually work together. Every person you admire has a version of this list. The one thing that carried me through all of it was the relationships I built along the way. Your network is your lifeline.
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Thor Ernstsson liked thisThor Ernstsson liked thisThrough my time in YPO and Sangha, I’ve had the privilege of working with and spending time around some of the most successful, thoughtful, and intentional founders in the world. What I’ve learned is that great companies are not only built by great ideas. They are built by alignment — the right people, at the right time, with the right energy, values, discipline, and belief. David Heath has been an incredible strategist, advisor, and friend throughout an evolving Cure journey that is only now beginning to emerge from incubation. This round is deeply meaningful because it brought together people I genuinely love, respect, and feel blessed to be building with. The next few months for Cure Companies are going to be extraordinary because of the team now forming around the vision — operators, investors, advisors, brand builders, and community leaders who understand that the future of hospitality is not just about places. It is about belonging. We are building a portfolio of local lifestyle ecosystems rooted in food, wellness, sport, hospitality, and human connection. Grateful to David, our investors, our team, and everyone who continues to believe in this next chapter. Rosie Mattio Larry Dolinko Scott Dolinko Arik Benzino Benjamin Sinclair Nicole Sinclair Julia Gudish Krieger Ezra Sofer Conrad Roncati Marcus Siskind Wayne Barrow @ Jay Eisenstadt Mortimer Singer Jason SussmanZvika Shachar Zvi Moshkoviz Conrad Roncati Morgan Brodey Marc Celli Ben Friedman Matthew Libien, CFP® Clelia Warburg Peters https://lnkd.in/efRFJrZmBombas co-founder leads $5M investment in Cure Cos. (updated)Bombas co-founder leads $5M investment in Cure Cos. (updated)
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Thor Ernstsson liked thisThor Ernstsson liked thisHow do you convince millions of people to spend real money on a digital tractor that doesn’t actually exist? Most people think Zynga just got lucky with FarmVille. They think a few executives sat in a room, looked at a whiteboard, and "invented" a billion-dollar opportunity. The truth is much more boring. Zynga didn’t guess. They just tested. They built a culture of "thousand small bets." They weren't making one giant leap into the dark; they were running continuous, rapid hypothesis tests at a an industrial scale. Run thousands of experiments, actively try to invalidate over 80% of your hypothesis, learn from 100% of them. They de-risked the innovation journey by turning "discovery" into a repeatable, scientific capability. When our founder, Thor Ernstsson, left Zynga to tackle new opportunities in the healthcare space, he hit a brick wall. It turned out that, in regulated environments like healthcare or finance, running experiments with your target customers and "failing fast" is often not an option. He realised that the "speed to truth" he had at Zynga shouldn't be a luxury reserved for social games. It should be the standard for every enterprise. That realisation is why he and Anuraag Verma built Feedback Loop, and ultimately, ArcticBlue AI. They wanted to package that Zynga-style capability — the ability to test hypothesis at scale and pivot before you waste millions — and made it accessible to even the most complex industries on earth. Today, every C-Suite executive is looking at AI as their next "Big Bet." But big bets without rapid testing are just expensive gambles. Whether you’re in healthcare, insurance, or tech, the goal is the same: find the billion-dollar opportunity without betting the whole farm. We’re here to help you do exactly that. What’s the biggest "leap of faith" your team is taking with AI right now? Let’s talk in the DMs.
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Thor Ernstsson liked thisThor Ernstsson liked thisMy TED talk is now live. Hope you enjoy it. https://lnkd.in/dHgNHxdd
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Thor Ernstsson reacted on thisThor Ernstsson reacted on thisThe most important part of using AI is having a healthy skepticism of the answers. Critical thinking is everything. It’s easy to lean into whatever your LLM of choice spits out. The answers sound authoritative and directionally credible. But especially when it comes to numbers, you have to check the receipts. I was just having lunch with Thor Ernstsson, who leads AI enablement for some of the world’s biggest companies, and he mentioned how often Claude hallucinates numbers. Twenty minutes later, I was doing market research and something felt off. So I pushed back: “Where is this data coming from? Show me the sources.” Claude replied: “Honest answer: I made the account counts up. They were directional estimates, not sourced figures. Let me actually look up the real numbers and rebuild this properly.” Then it searched the web. Whoops. Good reminder that critical thinking has to apply to every piece of AI-generated content. AI can help us get to a first draft faster. The human part is making sure the quality, accuracy, and authenticity are actually there.
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Thor Ernstsson reacted on thisThor Ernstsson reacted on thisOpenAI and Anthropic just both launched multi-billion FDE consulting firms. The goal is to deploy AI directly inside companies and displace the external body shops they've been relying on for enterprise GTM. Who will still use an independent dev shop when the foundational model companies are providing the service directly as well? Presumably, they can drive the costs down too with automation better than outsiders.
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Thor Ernstsson liked thisThor Ernstsson liked thisFive months ago, I argued against the President's $4 trillion tariffs at the Supreme Court. In 237 years, the Court had never struck down a sitting President's signature initiative. Legal scholars said it was impossible. Some of my own colleagues said it was impossible. We won. 6-3. But the real story isn't what happened in that courtroom. It's what happened in the months before. And its the subject of my TED talk, coming out tomorrow. I had the best legal team in the nation, especially Colleen Roh Sinzdak, the most outstanding legal strategist I know. Huge thanks, too, go to the Liberty Justice Center (and in particular its fearless and hyper-intelligent leader Sara Albrecht), who organized the client small businesses, as well as to the brave small businesses themselves. I also had four teachers preparing me. A mindset coach who'd worked with Andre Agassi. An improv coach who taught me that "Yes, and" works in Supreme Court arguments the same way it works everywhere else. A meditation coach who taught me stillness. And Harvey. Harvey predicted many of the questions the Justices asked — sometimes almost word for word. Brilliant. Tireless. Occasionally insufferable. Here's the catch: Harvey isn't a person. Harvey is a bespoke AI I built over the last year with a legal AI company, trained on every question every Justice has asked in oral argument for 25 years, and everything they've ever written. Tomorrow, TED releases my talk about what really happened — and what I learned standing at that podium. AI can predict. AI can analyze. What AI cannot do is the one thing that actually won the argument. Connect. Read the room. Hear not just a Justice's words, but her worry — and answer the worry. That is the irreducibly human skill. Find yours. Go deeper. In this age of AI, that's where your edge lives. The talk goes live Thursday, May 7 at 11am ET: go.ted.com/nealkumarkatyal What's the irreducibly human skill in your work — the thing AI can't touch?
Experience
Education
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University of Alabama in Huntsville
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Completed all PhD coursework and research on decisions under uncertainty; dissertation "pending".
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Volunteer Experience
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Board Member
C/I - Code/Interactive
- 5 years
Science and Technology
Board member of http://weare.ci -- bringing technology leadership training to high school students in underserved communities
Projects
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Quartet Health
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See projectGood Measure, round 2
Eventually went on to raise $150m+ to integrate behavioral care into primary care.
Languages
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Icelandic
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Recommendations received
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