Business
The problem with ‘human in the loop’ AI? Often, it’s the humans
Published
2 days agoon
By
Jace Porter
Welcome to Eye on AI. In this edition…AI is outperforming some professionals…Google plans to bring ads to Gemini…leading AI labs team up on AI agent standards…a new effort to give AI models a longer memory…and the mood turns on LLMsand AGI.
Greetings from San Francisco, where we are just wrapping up Fortune Brainstorm AI. On Thursday, we’ll bring you a roundup of insights from the conference. But today, I want to talk about some notable studies from the past few weeks with potentially big implications for the business impact AI may have.
First, there was a study from the AI evaluations company Vals AI that pitted several legal AI applications as well as ChatGPT against human lawyers on legal research tasks. All of the AI applications beat the average human lawyers (who were allowed to use digital legal search tools) in drafting legal research reports across three criteria: accuracy, authoritativeness, and appropriateness. The lawyers’ aggregate median score was 69%, while ChatGPT scored 74%, Midpage 76%, Alexi 77%, and Counsel Stack, which had the highest overall score, 78%.
One of the more intriguing findings is that for many question types, it was the generalist ChatGPT that was the most accurate, beating out the more specialized applications. And while ChatGPT lost points for authoritativeness and appropriateness, it still topped the human lawyers across those dimensions.
The study has been faulted for not testing some of the better-known and most widely adopted legal AI research tools, such as Harvey, Legora, CoCounsel from Thompson Reuters, or LexisNexis Protégé, and for only testing ChatGPT among the frontier general-purpose models. Still, the findings are notable and comport with what I’ve heard anecdotally from lawyers.
A little while ago I had a conversation with Chris Kercher, a litigator at Quinn Emanuel who founded that firm’s data and analytics group. Quinn Emanuel has been using Anthropic’s general purpose AI model Claude for a lot of tasks. (This was before Anthropic’s latest model, Claude Opus 4.5, debuted.) “Claude Opus 3 writes better than most of my associates,” Kercher told me. “It just does. It is clear and organized. It’s a great model.” He said he is “constantly amazed” by what LLMs can do, finding new issues, strategies, and tactics that he can use to argue cases.
Kercher said that AI models have allowed Quinn Emanuel to “invert” its prior work processes. In the past, junior lawyers—who are known as associates—used to spend days researching and writing up legal memos, finding citations for every sentence, before presenting those memos to more senior lawyers who would incorporate some of that material into briefs or arguments that would actually be presented in court. Today, he says, AI is used to generate drafts that Kercher said are by and large better, in a fraction of the time, and then these drafts are given to associates to vet. The associates are still responsible for the accuracy of the memos and citations—just as they always were—but now they are fact-checking the AI and editing what it produces, not performing the initial research and drafting, he said.
He said that the most experienced, senior lawyers often get the most value out of working with AI, because they have the expertise to know how to craft the perfect prompt, along with the professional judgment and discernment to quickly assess the quality of the AI’s response. Is the argument the model has come up with sound? Is it likely to work in front of a particular judge or be convincing to a jury? These sorts of questions still require judgment that comes from experience, Kercher said.
Ok, so that’s law, but it likely points to ways in which AI is beginning to upend work within other “knowledge industries” too. Here at Brainstorm AI yesterday, I interviewed Michael Truell, the cofounder and CEO of hot AI coding tool Cursor. He noted that in a University of Chicago study looking at the effects of developers using Cursor, it was often the most experienced software engineers who saw the most benefit from using Cursor, perhaps for some of the same reasons Kercher says experienced lawyers get the most out of Claude—they have the professional experience to craft the best prompts and the judgment to better assess the tools’ outputs.
Then there was a study out on the use of generative AI to create visuals for advertisements. Business professors at New York University and Emory University tested whether advertisements for beauty products created by human experts alone, created by human experts and then edited by AI models, or created entirely by AI models were most appealing to prospective consumers. They found the ads that were entirely AI generated were chosen as the most effective—increasing clickthrough rates in a trial they conducted online by 19%. Meanwhile, those created by humans and edited by AI were actually less effective than those simply created by human experts with no AI intervention. But, critically, if people were told the ads were AI-generated, their likelihood of buying the product declined by almost a third.
Those findings present a big ethical challenge to brands. Most AI ethicists think people should generally be told when they are consuming content generated by AI. And advertisers do need to negotiate various Federal Trade Commission rulings around “truth in advertising.” But many ads already use actors posing in various roles without needing to necessarily tell people that they are actors—or the ads do so only in very fine print. How different is AI-generated advertising? The study seems to point to a world where more and more advertising will be AI-generated and where disclosures will be minimal.
The study also seems to challenge the conventional wisdom that “centaur” solutions (which combine the strengths of humans and those of AI in complementary ways) will always perform better than either humans or AI alone. (Sometimes this is condensed to the aphorism “AI won’t take your job. A human using AI will take your job.”) A growing body of research seems to suggest that in many areas, this simply isn’t true. Often, the AI on its own actually produces the best results.
But it is also the case that whether centaur solutions work well depends tremendously on the exact design of the human-AI interaction. A study on human doctors using ChatGPT to aid diagnosis, for example, found that humans working with AI could indeed produce better diagnoses than either doctors or ChatGPT alone—but only if ChatGPT was used to render an initial diagnosis and human doctors, with access to the ChatGPT diagnosis, then gave a second opinion. If that process was reversed, and ChatGPT was asked to render the second opinion on the doctor’s diagnosis, the results were worse—and in fact, the second-best results were just having ChatGPT provide the diagnosis. In the advertising study, it would have been good if the researchers had looked at what happens if AI generates the ads and then human experts edit them.
But in any case, momentum towards automation—often without a human in the loop—is building across many fields.
On that happy note, here’s more AI news.
Jeremy Kahn
jeremy.kahn@fortune.com
@jeremyakahn
FORTUNE ON AI
Exclusive: Glean hits $200 million ARR, up from $100 million 9 months back—by Allie Garfinkle
Cursor developed an internal AI help desk that handles 80% of its employees’ support tickets, says the $29 billion startup’s CEO —by Beatrice Nolan
HP’s chief commercial officer predicts the future will include AI-powered PCs that don’t share data in the cloud —by Nicholas Gordon
OpenAI COO Brad Lightcap says code red will ‘force’ the company to focus, as the ChatGPT maker ramps up enterprise push —by Beatrice Nolan
AI IN THE NEWS
Trump allows Nvidia to sell H200 GPUs to China, but China may limit adoption. President Trump signaled he would allow exports of Nvidia’s high-end H200 chips to approved Chinese customers. Nvidia CEO Jensen Huang has called China a $50 billion annual sales opportunity for the company, but Beijing wants to limit the reliance of its companies on U.S.-made chips, and Chinese regulators are weighing an approval system that would require buyers to justify why domestic chips cannot meet their needs. They may even bar the public sector from purchasing H200s. But Chinese companies often prefer to use Nvidia chips and even train their models outside of China to get around U.S. export controls. Trump’s decision has triggered political backlash in Washington, with a bipartisan group of senators seeking to block such exports, though the legislation’s prospects remain uncertain. Read more from the Financial Timeshere.
Trump plans executive order on national AI standard, aimed at pre-empting state-level regulation. President Trump said he will issue an executive order this week creating a single national artificial-intelligence standard, arguing that companies cannot navigate a patchwork of 50 different state approval regimes, Politico reported. The move follows a leaked November draft order that sought to block state AI laws and reignited debate over whether federal rules should override state and local regulations. A previous attempt to add AI-preemption language to the year-end defense bill collapsed last week, prompting the administration to return to pursuing the policy through executive action instead.
Google plans to bring advertising to its Gemini chatbot in 2026. That’s according to a report in Adweek that cited information from two unnamed Google advertising clients. The story said that details on format, pricing, and testing remained unclear. It also said the new ad format for Gemini is separate from ads that will appear alongside “AI Mode” searches in Google Search.
Former Databricks AI head’s new AI startup valued at $4.5 billion in seed round. Unconventional AI, a startup cofounded by former Databricks AI head Naveen Rao, raised $475 million in a seed round led by Andreessen Horowitz and Lightspeed Venture Partners at a valuation of $4.5 billion—just two months after its founding, Bloomberg News reported. The company aims to build a novel, more energy-efficient computing architecture to power AI workloads.
Anthropic forms partnership with Accenture to target enterprise customers. Anthropic and Accenture have formed a three-year partnership that makes Accenture one of Anthropic’s largest enterprise customers and aims to help businesses—many of which remain skeptical—realize tangible returns from AI investments, the Wall Street Journalreported. Accenture will train 30,000 employees on Claude and, together with Anthropic, launch a dedicated business group targeting highly regulated industries and embedding engineers directly with clients to accelerate adoption and measure value.
OpenAI, Anthropic, Google, and Microsoft team up for new standard for agentic AI. The Linux Foundation is organizing a group called the Agentic Artificial Intelligence Foundation with participation from major AI companies, including OpenAI, Anthropic, Google, and Microsoft. It aims to create shared open-source standards that allow AI agents to reliably interact with enterprise software. The group will focus on standardizing key tools such as the Model Context Protocol, OpenAI’s Agents.md format, and Block’s Goose agent, aiming to ensure consistent connectivity, security practices, and contribution rules across the ecosystem. CIOs increasingly say common protocols are essential for fixing vulnerabilities and enabling agents to function smoothly in real business environments. Read more here from The Information.
EYE ON AI RESEARCH
Google has created a new architecture to give AI models longer-term memory. The architecture, called Titans—which Google first debuted at the start of 2025 and which Eye on AI covered at the time—is paired with a framework named MIRAS that is designed to give AI something closer to long-term memory. Instead of forgetting older details when its short memory window fills up, the system uses a separate memory module that continually updates itself. The system assesses how surprising any new piece of information is compared to what it has stored in its long-term memory, updating the memory module only when it encounters high surprise. In testing, Titans with MIRAS performed better than older models on tasks that require reasoning over long stretches of information, suggesting it could eventually help with things like analyzing complex documents, doing in-depth research, or learning continuously over time. You can read Google’s research blog here.
AI CALENDAR
Jan. 6: Fortune Brainstorm Tech CES Dinner. Apply to attend here.
Jan. 19-23: World Economic Forum, Davos, Switzerland.
Feb. 10-11: AI Action Summit, New Delhi, India.
BRAIN FOOD
At NeurIPS, the mood shifts against LLMs as a path to AGI. The Information reported that a growing number of researchers attending NeurIPS, the AI research field’s most important conference—which took place last week in San Diego (with satellite events in other cities)—are increasingly skeptical of the idea that large language models (LLMs) will ever lead to artificial general intelligence (AGI). Instead, they feel the field may need an entirely new kind of AI architecture to advance to more human-like AI that can continually learn, can learn efficiently from fewer examples, and can extrapolate and analogize concepts to previously unseen problems.
Figures such as Amazon’s David Luan and OpenAI co-founder Ilya Sutskever contend that current approaches, including large-scale pre-training and reinforcement learning, fail to produce models that truly generalize, while new research presented at the conference explores self-adapting models that can acquire new knowledge on the fly. Their skepticism contrasts with the view of leaders like Anthropic CEO Dario Amodei and OpenAI’s Sam Altman, who believe scaling current methods can still achieve AGI. If critics are correct, it could undermine billions of dollars in planned investment in existing training pipelines.
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Business
Student Beans made him a millionaire, a heart condition made this millennial founder rethink life
Published
2 hours agoon
December 11, 2025By
Jace Porter
Today, we meet James Eder, the 42-year-old cofounder of Student Beans (a discount coupon company targeting the college crowd), who is now a work-life coach splitting his time between London and the French Alps, and author of The Collision Code.
Eder was inspired to build Student Beans in 2005 after organising his university’s summer ball—a party for over 600 students where he was responsible for sponsorship. Seeing how much brands wanted access to students—and how much students loved a deal—sparked the idea.
“My calls to big brands led to me asking for samples and raffle prizes,” Eder recalls to Fortune. “Soon, my student hall bedroom was filled with condoms from Durex, Jelly Belly Jelly Beans, Coffee from Starbucks, Pot Noodles and Lush soaps that made it fragrant for months after.”
At the same time, Eder was working as a brand manager for Yell, where he says he’d already worked with more than 30 brands. A business plan assignment in his degree became the perfect place to shape the concept.
So after graduating, he and his older brother—who worked at an investment bank and had his own side hustle, selling titanium power on Ebay—bootstrapped what became one of the U.K.’s defining student platforms, with a £3,000 loan.
Over 15,000 students signed up to get exclusive discount vouchers from over 200 local businesses in its first year. By year three, Student Beans had 150,000 users. And today? It’s rebranded as Pion, works with over 3,500 brands from Gymshark to Uber, with over 5 million customers in more than 100 countries.
While Eder still holds a 35% stake in the £30-million-a-year turnover company, he walked away from day-to-day operations 10 years ago to pursue another idea: A location-based rival to LinkedIn called Causr, where you’d be able to see professionals nearby and connect.
But despite raising £500,000 and attracting 3,000 users, Eder’s second startup collapsed. A heart condition diagnosis forced him to rethink everything.
Having a defibrillator implanted in his chest quietly reshaped how he approaches purpose, work, and the limited resource none of us get back: time.
Today, Eder spends up to half the year in Méribel. He skis most mornings, and is fresh off the launch of The Collision Code—his book, which hit No. 1 on Amazon’s “Most Gifted” list and has already raised more than £8,500 for heart-health charities.
Yet even with the mountain air and flexible schedule, he says the real “good life” is less about escape, and more about learning how to design a life you don’t need to run away from.
The finances
What’s been your best-ever investment?
The best investment I ever made was £400 on a three-day personal development programme called The Landmark Forum in 2009. A friend invited me to an introductory evening. I was sceptical, but I also knew I had nothing to lose. At the very least, I thought it would be three days of reflection, learning about myself and meeting new people.
But it helped me understand how I operate, why I behave the way I do and which beliefs were holding me back. It shifted how I showed up for myself and for others. It gave me the confidence to speak up, build meaningful relationships and say yes to opportunities that scared me. Everything I have done since, from founding companies to writing my book The Collision Code, traces back to the moment I decided to invest in myself.
Once I became a qualified coach, these stepping stones enabled me to design a life that means I live in the French Alps up to six months of the year, enjoying the mountain air and skiing whilst balancing my clients and health.
And the worst?
My second startup, Causr. I raised £150,000, registered for VAT (value added tax) and qualified for R&D tax credits, which brought the total investment closer to £200,000. I also invested three years of my life. We built an app for both Apple and Android and attracted around 3,000 users, but engagement was almost non-existent.
I thought with the success behind me, having built Student Beans, I was so confident the world needed this and I could make this work. But I made the mistake of moving too fast. The moment the funding landed, I felt pressure to spend it and scale immediately. If I could go back, I would have continued testing, validating and learning with a much smaller audience before committing to a full build.
What are your living arrangements like?
I’m fortunate to spend time in between London, Kentish Town, in an old converted school with floor-to-ceiling windows, and a roof terrace that gets the sun for most of the day. I moved there when we relocated the Student Beans offices to Kentish Town and when I was there day-to-day it was just a ten-minute walking commute.
For almost half the rest of the year I’ve chosen to live in the French Alps in a beautiful studio apartment just above Meribel Centre in one of the best and largest ski areas of the world, The Three Valleys. I first fell in love with the mountains, skiing in the same area at around four or five. When I was diagnosed with my heart condition, it was a dream to be able to go back there and make this happen. I feel like I’ve got the perfect balance of the buzz of London and having everything on my doorstep, then mountain escape.
What’s in your wallet?
I never carry any cash. I have two default bank cards I use: The Virgin Atlantic Credit card which affords me to travel regularly in premium and upperclass, or my Revolut, which offers such convenience for different currencies whilst travelling and a brilliant interface.
Do you invest in shares?
I used an advisor for a number of years, making sure I benefited from the ISA tax-free allowances (similar to a Roth IRA in the U.S.). The most fantastic thing I did was invest in a money coach. For the first time, I understood how it works, what a bull and bear market is, what a tracker fund is … I now manage my funds and use Vanguard and Interactive Investor to do the work. I also invest in premium bonds, which are also tax-free investments.
What personal finance advice would you give your 20-year-old self?
I would emphasise the importance of monthly contributions, however small and maximising the tax-free ISA allowances as much as possible.
What’s the one subscription you can’t live without?
My EasyJet Plus subscription. Due to most of my European travel being short-haul with the majority served by EasyJet, it’s a useful perk—priority security, speedy boarding, seat selection and extra handheld luggage.
What’s your most ridiculous ongoing expense?
I don’t have ridiculous ongoing expenses, but I make up for it with travel. Most of my outgoings are on destination travel and related expenses. My annual ski pass for those who don’t ski might be questionable.
Courtesy of James Eder
The Necessities
How do you get your daily coffee fix?
I don’t drink coffee. I never got into it. My weakness is hot chocolate with cream, which I usually drink daily during the winter in the Alps, and it ranges in price from €5 to €10—so a habit of up to €40 a week.
What about eating on the go?
My go-to when I’m in the U.K. is PizzaExpress and Wagamama, reasonably priced and quick eats. I usually eat out three to four times a week. If I’m in town and in between meetings a Pret-A-Manger is a frequent destination. For meetings, I will often be at The Ivy, The Granary Square Brasserie in Kings Cross, The Wolseley or The Delaunay. Novikov or Sketch are also favourites.
Where do you buy groceries?
When I’m in London, I’ll grab food on the way home from being out—a stir fry, or salmon. In France, I do a weekly shop from Carrefour and feel like I have a better balanced diet as I have more time to spend planning and in the kitchen. It’s just a different way of living.
What’s a typical work outfit for you?
I’m usually in jeans from Citizens of Humanity with a shirt and a tailored jacket, polished but relaxed. Day-to-day, I’ve been leaning more casual and think Uniqlo is great for quality basics. I budget up to £1,000 a year on clothes and focus on things I’ll wear again and again.

The Treats
Are you the proud owner of any tech gadgets?
My Apple Watch has been a game-changer. I originally got it with my Vitality Health Care insurance plan and it has helped me identify when I had a change in heart rhythm as well as give me more confidence in exercising.
The one gadget that I think would really improve the quality of my life is a kitchen robot. Of course, there are private chefs, but the idea of having something in my kitchen that can cook with anything is wild.
How do you unwind from the top job?
What’s your take on work-life balance at the top?
In the early days of Student Beans, I was definitely working for over 12 hours a day and felt like I was always on. That was the same at Causr. Since I’m now a coach and author, work ebbs and flows.
Some days I’m out first thing for a breakfast meeting, working through the day, having an interview, doing a photo shoot, a lunch appointment, writing content, speaking at an event, recording a podcast and out for dinner. My take on work-life balance is to reframe it as being about life and whether you’re enjoying it or not.
How do you treat yourself when you get a promotion?
Because I have always worked for myself, promotions were never my milestone. Instead, I celebrated big moments like signing a major client, or raising investment. Those were the times I treated myself to something special. I love the art in my flat and choosing pieces that connect to a memory makes them even more meaningful. One of my favourites is an original limited edition Paul Kenton print of London and the Thames.
How many days annual leave do you take a year?
Whenever I am in France, it naturally feels like a holiday even though I am working. On top of that, I actively take around three months each year to travel and explore.
Take us on holiday with you, where did you go this year?
When I go on the heart transplant list, I’ll need to be within four hours of Cambridge and the transplant hospital at all times, so it’s made me focus on making the most of travelling.
I started 2025 in France, in March, visiting Tignes, another ski resort where I was a social host on European Snow Pride, a week-long gay festival. In April, I went to Gran Canaria for a few days. From there, I flew to Geneva and visited Meribel to get the keys to my new apartment, followed by a few days in Paris for my birthday. I spent a couple of weeks in Sardinia, including a sailing trip on a catamaran around Sardinia and Corsica. I then went to Wales for The Do Lectures, a few days of glamping with a community of over a hundred inspiring people.
Business
Google DeepMind agrees to sweeping partnership with the U.K. government
Published
11 hours agoon
December 10, 2025By
Jace Porter
AI lab GoogleDeepMind announced a major new partnership with the U.K. government Wednesday, pledging to accelerate breakthroughs in materials science and clean energy, including nuclear fusion, as well as conducting joint research on the societal impacts of AI and on ways to make AI decision-making more interpretable and safer.
As part of the partnership, Google DeepMind said it would open its first automated research laboratory in the U.K. in 2026. That lab will focus on discovering advanced materials including superconductors that can carry electricity with zero resistance. The facility will be fully integrated with Google’s Gemini AI models. Gemini will serve as a kind of scientific brain for the lab, which will also use robotics to synthesize and characterize hundreds of materials per day, significantly accelerating the timeline for transformative discoveries.
The company will also work with the U.K. government and other U.K.-based scientists on trying to make breakthroughs in nuclear fusion, potentially paving the way for cheaper, cleaner energy. Fusion reactions should produce abundant power while producing little to no nuclear waste, but such reactions have proved to be very difficult to sustain or scale up.
Additionally, Google DeepMind is expanding its research alliance with the government-run U.K. AI Security Institute to explore methods for discovering how large language models and other complex neural network-based AI models arrive at decisions. The partnership will also involve joint research into the societal impacts of AI, such as the effect AI deployment is likely to have on the labor market and the impact increased use of AI chatbots may have on mental health.
British Prime Minister Keir Starmer said in a statement that the partnership would “make sure we harness developments in AI for public good so that everyone feels the benefits.”
“That means using AI to tackle everyday challenges like cutting energy bills thanks to cheaper, greener energy and making our public services more efficient so that taxpayers’ money is spent on what matters most to people,” Starmer said.
Google DeepMind cofounder and CEO Demis Hassabis said in a statement that AI has “incredible potential to drive a new era of scientific discovery and improve everyday life.”
As part of the partnership, British scientists will receive priority access to Google DeepMind’s advanced AI tools, including AlphaGenome for DNA sequencing; AlphaEvolve for designing algorithms; DeepMind’s WeatherNext weather forecasting models; and its new AI co-scientist, a multi-agent system that acts as a virtual research collaborator.
DeepMind was founded in London in 2010 and is still headquartered there; it was acquired by Google in 2014.
Gemini’s U.K. footprint expands
The collaboration also includes potential development of AI systems for education and government services. Google DeepMind will explore creating a version of Gemini tailored to England’s national curriculum to help teachers reduce administrative workloads. A pilot program in Northern Ireland showed that Gemini helped save teachers an average of 10 hours per week, according to the U.K. government.
For public services, the U.K. government’s AI Incubator team is trialing Extract, a Gemini-powered tool that converts old planning documents into digital data in 40 seconds, compared to the current two-hour process.
The expanded research partnership with the U.K. AI Security Institute will focus on three areas, the government and DeepMind said: developing techniques to monitor AI systems’ so-called “chain of thought”—the reasoning steps an AI model takes to arrive at an answer; studying the social and emotional impacts of AI systems; and exploring how AI will affect employment.
U.K. AISI currently tests the safety of frontier AI models, including those from Google DeepMind and a number of other AI labs, under voluntary agreements. But the new research collaboration could potentially raise concerns about whether the U.K. AISI will remain objective in its testing of its now-partner’s models.
In response to a question on this from Fortune, William Isaac, principal scientist and director of responsibility at Google DeepMind, did not directly address the issue of how the partnership might affect the U.K. AISI’s objectivity. But he said the new research agreement puts in place “a separate kind of relationship from other points of interaction.” He also said the new partnership was focused on “question on the horizon” rather than present models, and that the researchers would publish the results of their work for anyone to review.
Isaac said there is no financial or commercial exchange as part of the research partnership, with both sides contributing people and research resources.
“We’re excited to announce that we’re going to be deepening our partnership with the U.K. AISI to really focus on exploring, really the frontier research questions that we believe are going to be important for ensuring that we have safe and responsible development,” he said.
He said the partnership will produce publicly accessible research focused on foundational questions—such as how AI impacts jobs or how talking to chatbots effects mental health—rather than policy-specific recommendations, though the findings could influence how businesses and policymakers think about AI and how to regulate it.
“We want the research to be meaningful and provide insights,” Isaac said.
Isaac described the U.K. AISI as “the crown jewel of all of the safety institutes” globally and said deepening the partnership “sends a really strong signal” about the importance of engaging responsibly as AI systems become more widely adopted.
The partnership also includes expanded collaboration on AI-enhanced approaches to cybersecurity. This will include the U.K. government exploring the sue of tools like Big Sleep, an AI agent developed by Google that autonomously hunts for previously unknown “Zero Day” cybersecurity exploits, and CodeMender, another AI agent that can search for and then automatically patch security vulnerabilities in open source software.
British Technology Secretary Liz Kendall is visiting San Francisco this week to further the U.K.-U.S. Tech Prosperity Deal, which was agreed to during U.S. President Trump’s state visit to the U.K. in September. In November alone, the British government said the pact helped secure more than $32.4 billion of private investment committed to the U.K tech sector.
The Google-U.K. partnership builds on a £5 billion ($6.7 billion) investment commitment from Google made earlier this year to support U.K. AI infrastructure and research, and to help modernize government IT systems.
The British government also said collaboration supports its AI Opportunities Action Plan and its £137 million AI for Science Strategy, which aims to position the UK as a global leader in AI-driven research.
Business
49-year-old Democrat who owns a gourmet olive oil store swipes another historically Republican district from Trump and Republicans
Published
11 hours agoon
December 10, 2025By
Jace Porter
Democrat Eric Gisler claimed an upset victory Tuesday in a special election in a historically Republican Georgia state House district.
Gisler said he was the winner of the contest, in which he was leading Republican Mack “Dutch” Guest by about 200 votes out of more than 11,000 in final unofficial returns.
Robert Sinners, a spokesperson with the secretary of state’s office, said there could be a few provisional ballots left before the tally is finalized.
“I think we had the right message for the time,” Gisler told The Associated Press in a phone interview. He credited his win to Democratic enthusiasm but also said some Republicans were looking for a change.
“A lot of what I would call traditional conservatives held their nose and voted Republican last year on the promise of low prices and whatever else they were selling,” Gisler said. “But they hadn’t received that.”
Guest did not immediately respond to a text message seeking comment late Tuesday.
Democrats have seen a number of electoral successes in 2025 as the party’s voters have been eager to express dissatisfaction with Republican President Donald Trump.
In Georgia in November, they romped to two blowouts in statewide special elections for the Public Service Commission, unseating two incumbent Republicans in campaigns driven by discontent over rising electricity costs.
Nationwide, Democrats won governor’s races by broad margins in Virginia and New Jersey. On Tuesday a Democrat defeated a Trump-endorsed Republican in the officially nonpartisan race for Miami mayor, becoming the first from his party to win the post in nearly 30 years.
Democrats have also performed strongly in some races they lost, such as a Tennessee U.S. House race last week and a Georgia state Senate race in September.
Republicans remain firmly in control of the Georgia House, but their majority is likely fall to 99-81 when lawmakers return in January. Also Tuesday, voters in a second, heavily Republican district in Atlanta’s northwest suburbs sent Republican Bill Fincher and Democrat Scott Sanders to a Jan. 6 runoff to fill a vacancy created when Rep. Mandi Ballinger died.
The GOP majority is down from 119 Republicans in 2015. It would be the first time the GOP holds fewer than 100 seats in the lower chamber since 2005, when they won control for the first time since Reconstruction.
The race between Gisler and Guest in House District 121 in the Athens area northeast of Atlanta was held to replace Republican Marcus Wiedower, who was in the seat since 2018 but resigned in the middle of this term to focus on business interests.
Most of the district is in Oconee County, a Republican suburb of Athens, reaching into heavily Democratic Athens-Clarke County. Republicans gerrymandered Athens-Clarke to include one strongly Democratic district, parceling out the rest of the county into three seats intended to be Republican.
Gisler ran against Wiedower in 2024, losing 61% to 39%. This year was Guest’s first time running for office.
A Democrat briefly won control of the district in a 2017 special election but lost to Wiedower in 2018.
Gisler, a 49-year-old Watkinsville resident, works for an insurance technology company and owns a gourmet olive oil store. He campaigned on improving health care, increasing affordability and reinvesting Georgia’s surplus funds
Guest is the president of a trucking company and touted his community ties, promising to improve public safety and cut taxes. He was endorsed by Republican Gov. Brian Kemp, an Athens native, and raised far more in campaign contributions than Gisler.
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