
This year's hot new tool for chefs? ChatGPT.
If all goes according to plan, he will keep prompting the program to refine one of Jill's recipes, along with those of eight other imaginary chefs, for a menu almost entirely composed by artificial intelligence.
Get Winter Soup Club
A six-week series featuring soup recipes and cozy vibes, plus side dishes and toppings, to get us all through the winter.
Enter Email
Sign Up
'I want it to do as much as possible, short of actually preparing it,' Achatz said.
Advertisement
As generative AI has grown more powerful and fluent over the past decade, many restaurants have adopted it for tracking inventory, scheduling shifts, and other operational tasks. Chefs have not been anywhere near as quick to ask the bots' help in dreaming up fresh ideas, even as visual artists, musicians, writers, and other creative types have been busily collaborating with the technology.
That is slowly changing, though. Few have plunged headfirst into the pool in quite the way Achatz is doing with his menu for Next, but some of his peers are also dipping exploratory toes into the water, asking generative AI to suggest spices, come up with images showing how a redesigned space or new dish might look, or give them crash courses on the finer points of fermentation.
Advertisement
'I'm still learning how to maximize it,' said Aaron Tekulve, who finds the technology helpful for keeping track of the brief seasonal windows of the foraged plants and wild seafood from the Pacific Northwest that he cooks with at Surrell, his restaurant in Seattle. 'There's one chef I know who uses it quite a bit, but for the most part I think my colleagues don't really use it as much as they should.'
Goat sausage with butter beans and focaccia croutons at Houseman in Manhattan, May 29, 2025. Ned Baldwin, the restaurant's chef and owner, asked for ChatGPT's help in understanding the technical details of sausage-making.
EMON HASSAN/NYT
The pinball-arcade pace of a popular restaurant can make it hard for chefs to break with old habits. Others have objections that are philosophical or aesthetic.
'Cooking remains, at its core, a human experience,' chef Dominique Crenn wrote in an email. 'It's not something I believe can or should be replicated by a machine.' Crenn said she has no intention of inviting a computer to help her with the menus at Atelier Crenn in San Francisco.
It is true that generative AI consumes vast amounts of electricity and water. Then there are the mistakes. According to OpenAI, the company that owns ChatGPT, 500 million people a week use the program. But it is still wildly prone to delivering factual errors in a cheerily confident tone. (The New York Times has sued OpenAI and Microsoft, the creators of ChatGPT and other AI programs, alleging they violated copyright law by training their chatbots with millions of Times articles. The two companies have denied that.)
Advertisement
None of the chefs I interviewed takes the chatbot's information at face value, and none will blindly follow any recipe it suggests. Then again, they don't trust most of the recipes they find in cookbooks or online, either.
Cooks, like other humans, are forgetful, distracted, and hemmed in by their own experiences. AI has its shortcomings, but these aren't among them. Chefs who consult the big electronic brain when they're devising a new dish or dining room find it helpful for the same reason bands like working with producer Brian Eno: Some of its suggestions are so unexpected that it can jolt them out of a creative rut.
'You can get really hyper-specific ideas that are out of the box,' said Jenner Tomaska, a chef in Chicago. For the Alston, a steakhouse he opened last month, Tomaska wanted a variation on the Monégasque fried pastry known as barbajuan. ChatGPT's earliest suggestions were a little basic, but as he fed it more demanding prompts — for instance, a filling that would reflect Alain Ducasse's style, steakhouse traditions, and local produce — the fillings got more interesting. How about Midwestern crayfish, white miso, and fresh dill, with pickled celery root on the side?
'It's a little bizarre, because I like to talk through these things with people, and I'm doing it with something that doesn't exist, per se,' Tomaska said. But arming himself with ideas from his solitary talks with ChatGPT, he said, 'does help bring better conversation to the creative process when I do have someone in front of me.'
Visual renderings from AI helped chef Dave Beran talk to the architect and designer of his latest restaurant, Seline, in Santa Monica, Calif. He wanted a vibe that drew something from the shadowy, dramatic interiors of Aska in Brooklyn and Frantzén in Stockholm, but held more warmth. He kept prompting Midjourney to get closer to the feeling he wanted, asking it, for example: What if we had a fireplace that I wanted to curl up beside?
Advertisement
'That was the mood we were trying to capture,' Beran said. 'Not dark and moody, but magical and mysterious.'
Midjourney's images looked like fantasy artwork, he thought. But the program acted as what he called 'a translator' between him and his designer, giving them a common language.
At the moment, AI can't build a restaurant or cook a piece of Dover sole. Humans have to interpret and carry out its suggestions, which makes the dining rooms and dishes inspired by AI in restaurants less unsettling than AI-generated art, which can go straight from the printer to a gallery wall. True, some chefs may put a half-baked idea from ChatGPT on the menu, but plenty of chefs are already doing this with their own half-baked ideas. For now, AI in restaurants is still inspiration rather than the final product.
Since Achatz's first serious experiments with ChatGPT, about a year ago, it has become his favorite kitchen tool, something he used to say about Google. Its answers to his questions about paleontology and Argentine cuisine helped him create a dish inspired by Patagonian fossils at his flagship restaurant, Alinea.
Before opening his latest restaurant, Fire, in November, he consulted ChatGPT to learn about cooking fuels from around the world, including avocado pits and banana peels. It has given him countless ideas for the sets, costumes, and story lines of a theatrical dining event somewhat in the mode of 'Sleep No More' that he will present this summer in Beverly Hills, Calif.
Advertisement
Asked to evaluate how well Jill had integrated her training from Escoffier and Adrià in the dishes she proposed for Next, Achatz responded in an email.
'Jill knows or researched important chefs and their styles, which very few chefs under 40 process today,' he wrote. 'She is young, and while experienced, does not yet have the understanding of how to blend them seamlessly.'
Years ago, he had similar blue-sky conversations at the end of the night with the talented cooks who worked with him at Alinea and Next, including Beran. He finds that batting ideas back and forth is 'not of interest' for some of his current sous-chefs.
'That dialogue is something that simply does not exist anymore and is the lifeblood of progress,' he said.
ChatGPT, though, will stay up with him all night.
This article originally appeared in
.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles

Yahoo
34 minutes ago
- Yahoo
Facebook chatbot shares boomers' relationship questions with the world
Facebook users are accidentally sharing legal woes, relationship dramas and health problems with the world after failing to realise that a chatbot they were speaking to was making the messages public. Internet users have publicly disclosed potentially embarrassing information or private personal details in conversations with an artificial intelligence (AI) app built by Meta. While the messages do not appear to have been meant for the public, dozens of posts have been shared on Meta AI's public 'Discover' feed. In one post seen by The Telegraph, a user asked the chatbot to write a character reference ahead of a court hearing, giving their full name. 'A character letter for court can be a crucial document,' Meta's chatbot said. 'To help me write a strong letter, can you tell me a bit more.' The person posting replied: 'I am hoping the court can find some leniency.' In another, a man appears to be asking for advice choosing between his wife and another woman. Others users shared long, rambling voice notes. Mark Zuckerberg's company launched its standalone Meta AI app in April. On it, users can speak to the company's chatbot, asking it questions in a manner similar to OpenAI's ChatGPT. Public sharing of conversations is not turned on by default, and users have to log in and confirm that they want to publish a conversation. However, many of the posts suggest users are unaware that their conversations have been aired in public. It suggests people may have opted to publish their conversations without fully realising what they were doing. In a post on X, Justine Moore, a partner at venture capital firm Andreessen Horowitz, said: 'Wild things are happening on Meta's AI app. The feed is almost entirely boomers who seem to have no idea their conversations with the chatbot are posted publicly.' In other shared conversations, users appeared to confuse Meta AI for a customer service bot, or asked it to provide technical support, such as helping them to log in. One chat begins: 'Dear Instagram Team, I am writing to respectfully request the reactivation of my Instagram account.' When it launched Meta AI, the tech company said its public feed was intended as a 'place to share and explore how others are using AI'. It said: 'You can see the best prompts people are sharing, or remix them to make them your own. And as always, you're in control: nothing is shared to your feed unless you choose to post it.' Technology giants have been aggressively pushing AI features despite fears that the tools are leaving social media filled with so-called AI 'slop' – nonsense images and conversations generated by bots. AI chatbots have been involved in a series of blunders. A Google chatbot last year told its users it was safe to eat rocks. In 2023, a chatbot from Microsoft went rogue and repeatedly expressed its love for users. Meta was contacted for comment. Broaden your horizons with award-winning British journalism. Try The Telegraph free for 1 month with unlimited access to our award-winning website, exclusive app, money-saving offers and more.


Forbes
42 minutes ago
- Forbes
9 Smart Ways To Use AI To Boost Your Personal Brand
Photo credit getty Now more than ever, your personal brand is your most powerful career asset. It's not just about image or reputation; it's about aligning your visibility with your values, goals, and personality so you can thrive professionally while staying true to who you are. Your brand helps you make meaningful connections, attract new opportunities, and position yourself for lasting success. In today's competitive world of work, personal branding isn't a nice to have, it's a career necessity. Thanks to AI, building and managing your personal brand has never been easier. Use AI strategically across all three phases of the personal branding process: KNOW (uncover your brand), SHOW (tell your story), and GROW (expand your visibility and value) to accelerate your success while staying true to the real you. Use these techniques to leverage AI to support and supercharge your branding activities across each phase of the journey. This first phase of the process is the most important. It's the foundation for everything else. You can't promote what you haven't defined. AI can help you gain brand clarity and understand how others perceive you. With a solid understanding of your brand, you can craft your authentic personal brand statement. AI tools like ChatGPT, Grammarly, or online brand audits can analyze your LinkedIn profile, website, and social content to identify key themes, tone of voice, and how your brand is currently being communicated. Are you consistent? Do your values come through? Is your tone aligned with who you are and your professional goals? Let AI be your virtual brand coach. You can use AI to review your resume, past performance reviews, or project summaries and extract recurring themes. Use this prompt: What are the patterns in my work that show where I excel? Then, group those into 3-5 personal brand messages. These will serve as the backbone of your communications. Once you know what makes you stand out, use AI to help craft a relevant personal brand statement. Input what you learn about yourself, your current resume, and the consolidation of feedback from others, and ask your favorite AI tool to craft an authentic, differentiated, and compelling statement about you. After you receive a response, refine until it feels perfectly aligned with who you are and where you want to go in your career. Your personal brand statement serves as a reminder of your unique promise of value. Once you're clear on your brand, it's time to express it. The SHOW phase of the personal branding process is about visibility, consistency, and connection. AI can help you translate your identity into powerful communication tools that share your story across online and real-world platforms. AI can help optimize your Headline and About content to reflect your brand and convey your differentiation. Ask it to rewrite your About using your tone and keywords. Add in what you learn about yourself from the KNOW phase. Then, refine it to feel natural, captivating, and strategic. The great thing about an elevator pitch is that you deliver it in real-time, either in person or via your computer screen. Unlike your LinkedIn About, which is the same for everyone who reads it, you can customize your elevator pitch to be perfectly relevant to the person or people you're meeting. Share your current elevator pitch with your favorite AI tool, then ask to refine it for the specific scenario and people you seek to impress. Whether you're speaking at a professional association meeting and publishing an article (things you will be doing in the GROW phase), make your accompanying bio or byline bespoke. Use AI to fine-tune it, making it perfectly on target for the content, audience, and platform. This phase is about expanding your reach, sharing valuable content, and establishing yourself as a thought leader known for your ideas and expertise. AI can help you create consistent, meaningful content that keeps your brand top of mind. Struggling with what to say online? Use AI as your muse to help brainstorm post ideas, headlines, or even full article outlines based on content related to your area of expertise. Prompt it with: 'Please give me 10 (clever, funny, differentiation, actionable…) LinkedIn post ideas for an HR executive who focuses on authenticity and leadership development.' You'll have three months' worth of content that you can edit and post in minutes. Not sure what to comment on someone's post? AI can help you generate thoughtful, on-brand comments and questions that keep you engaged in a real (and efficient) way. It can also help you write personalized outreach messages for networking, partnerships, or collaborations, and for your custom LinkedIn connection requests. To build your brand, you don't always need to be in content creation mode. Use AI to reframe existing content into multiple formats — a social media post, an email, or a video script. You can ask: 'Please turn this blog post into a LinkedIn carousel with a call to action for professional services leaders.' AI helps you scale your message without reinventing the wheel. Personal branding is no longer optional. It's how you stand out, stay relevant, and build a career that reflects who you truly are. Fortunately, AI makes personal branding easier and more accessible than ever. From uncovering your voice to showing up with clarity to growing your influence strategically, AI can be your brand-building co-pilot. The key is to establish the habit. These nine strategies are just the beginning. As you get more comfortable using AI tools, you'll find new, creative ways to amplify your impact and expand your brand. William Arruda is a keynote speaker, author, and personal branding pioneer. Join him as he discusses clever strategies for using AI to express and expand your brand in Maven's free Lightning Lesson. If you can't attend live, register to receive the replay.


Forbes
an hour ago
- Forbes
How to Future-Proof Your Workforce for AI
Stand Together Is AI poised to automate all human work — or will it bring us more meaningful, higher-paying jobs? It depends who you ask. Tech CEOs have warned of a coming tidal wave. Anthropic CEO Dario Amodei predicted AI could eliminate half of all entry-level white-collar jobs within five years. OpenAI's Sam Altman expects artificial general intelligence to surpass humans at all economically valuable tasks. Some economists see a slower story. MIT's Daron Acemoglu estimates that AI will increase U.S. productivity by just 0.05% annually over the next decade — based on the idea that most companies won't change how they operate. Predicting exactly how AI will reshape jobs might be impossible. But if you're leading a business, your priority isn't knowing precisely who's correct — it's preparing your organization and workforce for an AI-driven future. But why is forecasting AI's impact on jobs so difficult, even for experts? Understanding the forces that make it hard to predict is also what helps leaders understand how to prepare. I think of this as AI's "Three-Body Problem" — a nod to the famously unpredictable physics phenomenon, where adding a third interacting body makes future trajectories chaotic and impossible to forecast. Similarly, three interacting factors — AI capabilities, adoption speed, and job creation potential — make AI job predictions uniquely challenging. Let's briefly explore each one. 1. What will AI be able to do? Experts fundamentally disagree about how powerful — and how fast — AI models will become. Some predict artificial superintelligence could emerge as soon as 2027, driven by self-improving systems that compound capabilities exponentially. Others believe we're nearing the limits of current scaling laws, and that even human-level intelligence may still be 15 years away. Additionally, AI's abilities are uneven — superhuman in some tasks yet subhuman in others. For example, Ethan Mollick recently demonstrated that GPT-4o could ace an MBA-level strategy case with remarkable nuance — yet failed at solving a basic riddle requiring common sense logic. It's a reminder that raw capability doesn't guarantee reliability across domains. 2. How will we choose to use AI? Just because AI can automate a job — or parts of one— doesn't mean it will. The pace at which we integrate AI into the workplace will be wildly uneven. Some sectors will move as fast as the technology itself. Others will be slowed by regulation, union rules, institutional inertia, or cultural preferences. In industries with little financial pressure to cut costs, there may simply be no urgency to change. Something I think about a lot: We still have gas station attendants pumping gas in Oregon and New Jersey — not because it's technologically necessary, but because we've chosen to protect those jobs. Predicting where and how fast adoption will happen is tough, because it's ultimately a question of human behavior. 3. What new jobs will AI create? AI will create new jobs — but how many, and what kind, remains unknown, especially if it quickly automates even the roles it helps create. Historically, new technology has been a net job creator. The internet gave rise to SEO specialists and app developers, and the smartphone boom created whole industries around mobile design and delivery. But AI is different: It could quickly take over the roles it helps create, making it harder to predict the net effect on employment. Taken together, the Three-Body Problem makes AI job forecasting impossible to pin down. AI capabilities, adoption speed, and job creation are all unpredictable — yet understanding these complexities is only half the battle. When nobody can confidently predict AI's trajectory, how do you prepare your business and your employees for what's ahead? Precisely because AI's trajectory is uncertain, organizations must build the muscle to adapt quickly. Readiness is the best hedge against uncertainty. As Bijal Shah, CEO of Guild, put it, 'Employers who win in this new world of work driven by AI will be those who invest in making their workforce more adaptable and resilient — not just for today's skills, but for tomorrow's unknowns.' So, where should leaders begin? The following strategies are no-regrets investments — moves that deliver value no matter how fast AI change arrives. They offer ways not just to survive the shifts ahead, but to build more agile organizations and more meaningful, purposeful work for employees. Forget titles. Jobs are a collection of skills and abilities. Titles make jobs sound fixed. But they're really collections of skills and abilities — Lego pieces —that can be reassembled creatively. Organizations like Censia are already shepherding adaptations — such as Dunkin' cashiers becoming pharmacy techs. Thinking in skills and desired traits frees businesses and workers from obsessing over whether a job stays or goes. 'The winners in this AI era will be those who stop managing roles and start orchestrating skills,' said Joanna Riley, CEO of Censia. Make work suck less. AI can automate or reduce tedious job aspects, helping less experienced employees quickly take on more complex, meaningful, and better-paid work. 'The new versions of these jobs are just better — more interesting, creative, and human-oriented,' said Brandon Sammut, chief people officer at AI company Zapier. While there's a risk that these more meaningful and productive jobs will mean fewer jobs overall, the immediate opportunity is clear: Deploy AI tools that make jobs more enjoyable (less rote, routine work) and purposeful. Help people do harder stuff. Automating simpler tasks means work becomes more rewarding and challenging. Companies must help employees elevate their skill levels and continuously push into domains where humans have a unique advantage. 'We're headed toward a world where only high-skill, high-complexity work survives,' David Blake, CEO of Degreed, noted. 'The real challenge is helping people make that leap.' Durable human skills — like creativity, problem-solving, empathy, and mathematical reasoning — will remain essential. Support employees to use AI in daily work. It's management malpractice not to. 'It is management malpractice not to create an environment where employees are using AI in concrete ways in their daily work,' Sammut said. Knowing how to use AI is fast becoming table stakes to stay employable. The people most at risk of being replaced aren't being replaced by AI — they're being replaced by other humans who know how to use it. Helping employees integrate AI into their daily workflow doesn't just boost productivity — it also strengthens your employer value proposition. People are drawn to workplaces where they remain relevant, are continually challenged, and engage in meaningful, purposeful work. Waiting for certainty isn't an option. Leaders must act now, building strategies resilient to multiple outcomes. If you want to future-proof your business, start by future-proofing your people. Follow Allison Salisbury's writing and insights on her LinkedIn. Allison Salisbury is CEO of Humanist Venture Studio, which is supported by Stand Together, an organization that partners with changemakers who are tackling the root causes of America's biggest problems. Learn more about Stand Together's efforts to transform the future of work and explore ways you can partner with us.