Followers
326.7K
About this metric
Public follower count at check time.
Demis Hassabis LinkedIn stats
LinkedIndemishassabis
Profile data checked Aug 6, 2026, 3:47 PM
Report generated Sep 13, 2026, 3:23 PM · Methodology
87/100
Strong profile
Experience
2
About this metric
Public experience entries returned with the profile.
Education
2
About this metric
Public education entries returned with the profile.
Posts sampled
7
About this metric
Dated recent posts returned with the public profile.
Category scores
Out of 100Proof of work
Limited
40/100
Career depth
Mixed
67/100
Recent activity
Mixed
75/100
About clarity
Strong
82/100
Expertise consistency
Strong
85/100
Sampled response
Strong
99/100
Profile foundation
Strong
100/100
Post context
Strong
100/100
Search context
Strong
100/100
Bio and content
7 of 7 posts analyzedGoogle DeepMind co-founder and CEO focused on AGI, landmark AI systems, AI-enabled drug discovery, and fundamental scientific questions.
Audience
AI researchers, technology leaders, policymakers, investors, and readers interested in scientific discovery, medicine, and AGI.
Positioning
A leading AI executive presenting advances, milestones, applications, and governance considerations across Google DeepMind and Isomorphic Labs.
Bio/content match
StrongAll seven sampled posts reinforce the bio through AGI progress, AlphaGo, scientific applications, drug discovery, AI safety, and international AI dialogue.
Recent LinkedIn posts
7 sampledPosting pace
0.0/week
Calculated from the dates in the captured authored-post sample.
Typical post response
6,629
Median reactions and comments across 7 sampled posts.
Responses / 1K followers
20.3
Median public reactions and comments per 1,000 public followers. This is not impression-based engagement.
Comment share
4.1%
2,002 of 49.1K sampled responses were comments.
Response consistency
94%
Median sampled response divided by average sampled response; lower values indicate a few posts dominate.
Authored articles
1
Authored LinkedIn articles returned in the public profile.
Projects and publications
0
Projects and publications returned in the public profile.
Recommendations
0
Public recommendations returned with the profile.
It was great to be at I/O again this year to share our latest models and capabilities on the path to artificial general intelligence (AGI). The staggering pace of AI progress is incredible, even for those of us who have spent our entire lives working on this technology.
A few highlights from our key announcements:
- Gemini Omni Flash: A major leap in world understanding and multimodal editing, Omni can take photos, video and audio, and create videos with entirely new cohesive scenes. Over time, Omni will be able to generate any output from any input.
- Gemini 3.5 Flash: Our most capable Flash model yet, it outperforms Gemini 3.1 Pro on coding and agentic tasks while being 4x faster than other frontier models - and 12x faster in Antigravity.
- Gemini for Science: A collection of experimental AI tools to help researchers streamline daily scientific tasks, like staying on top of newly published papers or generating and evaluating new hypotheses.
- CodeMender: Built on Gemini, our code security agent automatically finds and fixes critical software vulnerabilities. It’s now being tested by experts using our new API and we’ll be launching it more broadly soon.
- SynthID: OpenAI, Kakao Corp, and ElevenLabs are joining NVIDIA in adopting our imperceptible SynthID watermark for tagging and identifying AI-generated content. We’re looking forward to expanding to more partners and setting the standard of transparency for the AI era.
Agents and world understanding will be crucial aspects of achieving AGI. As we advance towards this, it’s important that we are clear-eyed about the potential challenges and use all the tools at our disposal to ensure the safety of our agentic systems, and ultimately AGI itself.
When we look back at this time, I think we will realise that we were standing in the foothills of the singularity. Built right and deployed responsibly, AGI will be a force multiplier for human ingenuity, and could unlock scientific progress and human flourishing beyond our current imagination. 5,806 322I’ve always believed the No.1 application of AI should be to improve human health.
That work started with AlphaFold, and continues at Isomorphic Labs with our mission to reimagine drug discovery and one day solve all disease.
We are turbocharging our progress with $2.1B in new funding. Excited for what’s to come! 15K 468It was wonderful to be back in Korea last week, 10 years after AlphaGo’s historic win against the legendary 9-dan champion Lee Sae Dol. That groundbreaking moment gave the world a first glimpse of what we could achieve with AI that can learn to solve hard problems.
We’ve seen incredible progress in AI since then. Today, AI is capable of advanced reasoning and is beginning to have agentic capabilities that will enable it to plan and act in the world, whether in robotics or as useful assistants. We’re now at a major threshold with AGI likely to arrive in 3-4 years and bring profound change to industries and society.
Korea is uniquely positioned for this transformation. It has one of the world’s fastest-growing AI adoption rates - many of Korea’s citizens rely on the Gemini app as an essential daily partner. It’s also a world leader in manufacturing memory chips and advanced semiconductors that are the bedrock of AI compute. At the same time, Korea’s leaders have been deeply thoughtful about the critical questions we as a society have to answer as we navigate this next transformative period of human history. It was a huge honour to meet President Lee Jae-myung and discuss AI safety and the importance of using AI to advance science.
I’ve always believed that scientific discovery is the ultimate use case for AI, and Korea’s strengths in robotics, biotech, energy and education - along with its world-class talent - make it a natural partner for accelerating this work. We’re building on a strong foundation of collaborations with world-leading Korean companies and universities, and establishing a new partnership with The Ministry of Science and ICT of the Republic of Korea. We’ll help to accelerate the country’s K-Moonshot mission by leveraging our models in fields such as life sciences, energy, weather and climate. We’ll also be collaborating with the Korean AI Safety Institute on research and are supporting the next generation of talent by providing internship opportunities at Google DeepMind for Korean students.
We have a long-standing connection with Korea as the home of the AlphaGo match that kickstarted the modern AI era. Returning to Seoul offered the chance to connect with Lee Sae Dol again and join Shin Jin-seo for a special Go match. It was incredibly interesting to hear how AlphaGo has changed the way players approach the game. I also got to visit Google Korea and spend some time with the amazing team there. The launch of our AI Campus within our Seoul office will help to drive collaborations between Korean institutions and our AI experts that are at the center of our work together.
Thank you to everyone in Korea for such a warm welcome. Excited to see where this new chapter of collaboration leads us!
Read more about our new partnership: https://lnkd.in/eaReHrVK 3,938 113We started DeepMind back in 2010 because even then we believed Artificial General Intelligence (AGI) would be the most transformative technology ever invented. It has the potential to be the ultimate tool to accelerate science and medicine, and improve productivity. The impact will be profound, but the challenges and complexities are also enormous.
Thoughtfulness and foresight will be critical as we seek to steward this technology safely into the world to benefit everyone. As part of our contribution to that effort, I’m thrilled to welcome Jasjeet Sekhon to Google DeepMind as Chief Strategy Officer to partner with me on strategy cutting across research, commercialisation, policy and more. Jas is uniquely experienced for this role, having served as Chief Scientist and Head of AI at Bridgewater Associates, where he now joins the board.
Super excited to be working with Jas to accelerate this important work at such a critical time for this technology. 6,326 303Ten years ago, AlphaGo’s legendary match in Seoul heralded the start of what is now recognised as the modern era in AI.
In 2016, with over 200 million people watching, our AI system AlphaGo faced world champion Go player Lee Sae Dol. The match was defined by AlphaGo’s famous ‘Move 37’ in Game 2 - a play so unconventional it first appeared to be a mistake.
But as the game unfolded, it became clear the play wasn’t just bold, it was decisive. One hundred or so moves later, Move 37 was in exactly the right place to decide the battle and allow AlphaGo to win the game.
I knew at that moment that the AI techniques we developed with AlphaGo were ready to be applied to our real goal of using AI to accelerate scientific breakthroughs.
The trajectory since then has been incredible:
• 𝗔𝗹𝗽𝗵𝗮𝗭𝗲𝗿𝗼: Taught itself from scratch to master any 2-player perfect information game, including Go, chess and shogi.
• 𝗔𝗹𝗽𝗵𝗮𝗙𝗼𝗹𝗱: Solved the 50-year grand challenge of protein structure prediction and is now a standard tool for millions of scientists around the world.
• 𝗔𝗹𝗽𝗵𝗮𝗣𝗿𝗼𝗼𝗳 & 𝗔𝗹𝗽𝗵𝗮𝗘𝘃𝗼𝗹𝘃𝗲: Applying AlphaGo’s ‘reasoning as search’ to formal mathematics and algorithm discovery.
• 𝗚𝗲𝗺𝗶𝗻𝗶: In Deep Think mode, our most capable model uses search and planning algorithms to explore lines of thought in parallel - an approach inspired by AlphaGo.
Our goal is to build artificial general intelligence (AGI) that can help us make fundamental leaps in science and address some of the most pressing problems facing humanity, including energy and disease.
The techniques we pioneered in AlphaGo are now paving the path towards AGI. Gemini uses some of the same search and planning approaches to reason across language, audio, video and images to build a model of how the world works.
We think the combination of Gemini’s world model and AlphaGo’s techniques, as well as a system’s ability to call on specialised AI tools like AlphaFold, will prove to be critical for AGI.
True creativity is a key capability that such an AGI system would need to exhibit. Move 37 was a glimpse of AI’s potential to think outside the box, but true original invention will require something more. It would need to not only come up with a novel Go strategy, as AlphaGo impressively did, but actually invent a game as deep and elegant, and as worthy of study as Go.
AlphaGo has had an amazing impact over the past 10 years - look forward to seeing what it unlocks next! 6,894 279It was amazing to be in India this week for the AI Impact Summit. Seeing firsthand how the country is applying AI to solve real-world problems, it is clear that India is poised to become an AI powerhouse on the global stage.
My thanks to Prime Minister Narendra Modi, Minister Ashwini Vaishnaw and the Indian government for convening such an impressive and productive meeting. Since the first summit in the UK at Bletchley Park in 2023, presciently initiated by Prime Minister Rishi Sunak, this gathering has become very important for continuing international dialogue and cooperation on the future of AI.
Those discussions are especially urgent with AGI on the horizon, potentially within the next five years. In my view, AGI will be the most transformative technology ever invented and its impact will be unprecedented, maybe 10x that of the Industrial Revolution, unfolding 10x faster. I’ve always believed AI could be the ultimate tool to advance science, medicine, and productivity, and help tackle some of the biggest challenges facing humanity.
To realise this massive potential, more scientists and entrepreneurs need to be able to use frontier AI capabilities. Building on our work with the US and UK, Google DeepMind announced new partnerships in India this week to broaden access to AI tools like AlphaGenome, WeatherNext and Gemini-powered learning assistants. India is already one of the top countries by users of the Gemini app. Our world-class team in Bengaluru is doing critical research on efficient models and multilingual capabilities that we are bringing to our products and technologies in order to broaden AI’s impact.
It was incredibly impressive to see the energy and enthusiasm for AI in the country, especially among young people. While speaking at the Indian Institute of Science (IISc), I met with students and faculty who had inspiring ideas for seizing the economic and scientific opportunities AI unlocks.
This is an extremely exciting time but we must approach it with humility and care, as we don’t have all the answers yet about how this technology will develop and be deployed into the world. To navigate this next period in human history, we need more forums like the international summits to bring together all parts of society - including technologists, scientists and governments, but also artists, social scientists, philosophers and citizens. These dialogues are vital to realising AI’s benefits and mitigating any potential risks.
If we get these next steps right, I’m very optimistic we can usher in a new golden age of scientific discovery and progress, and improve the lives of everyone, everywhere. 9,210 208It’s amazing to see how the conversation around AI has evolved in the past year.
In Davos last week, the discussions reflected the shift from the era of generative AI - models that write text and code - to agentic AI that can reason, plan, and take action. This shift brings immense potential to increase productivity and solve complex problems in the real world.
As agent-based systems become more prevalent, the good news is I think we’ll see demand from enterprises and users that will drive the right behaviours regarding safety and security. Businesses will require guarantees that the systems they deploy are reliable and handle data securely. There will be a lot of commercial pressure on frontier AI providers to get this right, and it will be essential preparation for when bigger stakes come around with AGI.
AGI will impact all of humanity. Currently, mechanisms for international coordination to realise its benefits and mitigate any potential risks are lagging behind the technology. We vitally need more dialogue between companies, governments, and civil society to ensure we get this transformative technology right. Ideally, as we approach AGI the best minds in the world would collaborate across disciplines - philosophers, social scientists and economists, as well as technologists - to figure out what we want from this technology and ensure all of humanity benefits from it.
Today there is fear and reasonable concern around the impact of AI. It is incumbent on the industry to demonstrate the unequivocal good AI can do. Our work at Isomorphic Labs to design new drugs is an incredible example that builds on our pioneering breakthroughs with AlphaFold - but we need a lot more. AI has the potential to help us discover new materials, develop new clean energy sources and move us towards a post-scarcity world, all of which would dramatically improve the human condition. Our Google DeepMind Science team is leading the way on building AI tools to accelerate the pace of scientific discovery - like AlphaGenome, which was just released this week.
I have spent my entire career on developing AI because I always believed it would usher in a new golden age of scientific discovery. I’ve been thinking about the technical risks for just as long, but I remain a big believer in human ingenuity and adaptability. If we approach building AI with the time and thoughtfulness it deserves, grounding our work rigorously in the scientific method, I am confident mitigating the technical risks is a tractable problem.
There are profound questions to answer about the post-AGI world we want to build. It’s for us, as humanity, to write what happens next.
It was great to discuss this and more when I was in Davos: https://lnkd.in/eGmag9Cs 4 309
Professional signals
Career depth
4 entries
Public profile: 2 experience + 2 education
Proof of work
1
Public profile: 1 articles + 0 portfolio items + 0 recommendations
Authored activity
100%
Visible activity: 7 authored, 0 shared, 0 liked, 0 other
Response consistency
94%
Sampled posts: Median 6,629 / average 7,020.4
Category details
Proof of work
The public profile provides limited visible work or third-party evidence.
- 1 authored articles
- 0 projects or publications
- 0 recommendations returned
Career depth
The public profile shows limited career depth in the fields returned.
- 2 experience entries
- 2 education entries
- Current organization: Google DeepMind
Recent activity
The captured profile includes several current authored posts.
- 7 dated posts returned
- Newest post is 115 days old
About clarity
Google DeepMind co-founder and CEO focused on AGI, landmark AI systems, AI-enabled drug discovery, and fundamental scientific questions.
- Identifies the role as Google DeepMind co-founder and CEO.
- Names AGI as the central area of work.
Expertise consistency
All seven sampled posts reinforce the bio through AGI progress, AlphaGo, scientific applications, drug discovery, AI safety, and international AI dialogue.
- Google I/O post discusses new Gemini capabilities and the path to AGI.
- Isomorphic Labs post links AlphaFold to drug discovery and human health.
Sampled response
Typical public response is material relative to the visible audience and is not confined to one post.
- 7 of 7 posts received a public response
- 20.3 median responses per 1,000 followers
- 94% median-to-average consistency
Profile foundation
The public profile has substantial identity and career context.
- About section found
- 2 experience entries
- Location: United Kingdom
Post context
Most sampled posts include enough visible text to evaluate their subject and argument.
- 7 of 7 posts included text
- 7 of 7 posts contained at least 120 characters
Search context
The public profile supplies clear professional and topic context.
- Organization: Google DeepMind
- Location: United Kingdom
- Post topics: world, science, scientific
Profile roast
The bio crowns AlphaGo, AlphaFold and reality itself, while the sampled posts keep reheating AGI milestones. It’s achievement spam with no off switch.
demishassabis · B · 87/100
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