# Early November 2026: Nvidia loses Jensen Huang The month in AI, first half of November. What business leaders should take from two weeks of AI news. - Published: 2026-11-14 - Type: Perspectives - Topics: governance, transformation, research - Canonical: https://hellofig.io/blog/month-in-ai-2026-11-first-half **In short.** Jensen Huang resigned as Nvidia's CEO four days after his board said it had confidence in him, leaving the company at the center of the AI buildout without the founder who ran it for 33 years. Silicon Valley rallied to bring him back, and Washington turned the affair into a fight over chip exports. Anthropic began its IPO in the middle of it, and voters turned against new data centers. --- *The month in AI is twice a month: a short look back at what happened in AI and what it means for organizations putting it to work.* On Thursday, Nov 12, hours after Nvidia announced that Jensen Huang had resigned, someone left flowers and a candle under the Nvidia sign outside the company's headquarters in Santa Clara. Huang started the company in 1993 and ran it for 33 years. Four days earlier, the board had said it had confidence in him. His company's chips power most of the AI industry, and he personally persuaded investors, customers and governments to pay for the buildout. His fall showed how much of that buildout rests on one person. The same two weeks showed how much it rests on the trust of investors, of Washington and of the towns asked to host its data centers. We spend most of this edition on Nvidia, then turn to Anthropic's IPO and an election that went against data centers. ## 1. Four days from confidence to resignation The story started with a customer. Megaspeed, a Singapore-based cloud company that bought billions of dollars of Nvidia chips and calls itself a "core business partner" of Nvidia, had been under investigation in the US and Singapore since 2025 over whether it helped move restricted chips into China. On Oct 29, the New York Times reported that Huang had a close relationship with Alice Huang, a former Megaspeed executive and no relation. Nvidia said his interactions with her were "not unusual or unexpected." On Nov 6, the Times reported a US government memo alleging that she was passing information about AI chips to China's Ministry of State Security. On Sunday, Nov 8, Huang [wrote to Nvidia's roughly 42,000 employees](https://nvidianews.nvidia.com/news/a-message-to-our-company) that he had been "unfaithful to my wife," that he was "deeply sorry" and that he took "full responsibility." He didn't name anyone. The board [opened an independent investigation](https://nvidianews.nvidia.com/news/statement-from-nvidia-board-of-directors) and said: "The Board has confidence in Jensen and his leadership team." On Monday, Nvidia's stock fell nearly 9% before closing down about 4%. On Wednesday evening, Nov 11, the Times reported a second affair, with an executive who reported directly to Huang, and the Wall Street Journal reported that the board was preparing to remove him. The board met that night. Nvidia's stock fell another 8% in after-hours trading. On Thursday morning, Nvidia [announced](https://nvidianews.nvidia.com/news/nvidia-announces-ceo-transition) that Huang had resigned as president, CEO and director, effective immediately. The release carried no statement from him. CFO Colette Kress, who joined Nvidia in 2013, became interim CEO while keeping her finance job, and longtime director Harvey Jones, the former CEO of Synopsys, became the company's first-ever board chair. The board is considering internal and external candidates, and the Financial Times reported that it approached Arm's CEO, Rene Haas. It was an abrupt end to a career that began far from Silicon Valley. Huang was born in Taiwan, came to the US as a child and was sent to a boarding school in rural Kentucky. As a teenager he washed dishes at Denny's, and in 1993 he and two other engineers sketched out Nvidia in a Denny's booth in San Jose. The company nearly ran out of money in its early years, and he built it into the company the AI boom runs on. Much of the story remains unproven. The Justice Department said on Nov 12 that it [had not reached a conclusion](https://www.reuters.com/world/china/us-justice-department-has-not-concluded-alice-huang-was-chinese-spy-blanche-says-2026-11-12/) on whether the former Megaspeed executive is a spy. Singapore, which barred her from re-entering the country, says its own investigation "did not concern espionage," and Beijing calls the allegations groundless. Shareholders sold while the investigations were still open. At its peak in early October, Nvidia was worth more than [$5.7 trillion](https://fortune.com/2026/11/14/jensen-huang-nvidia-ai-5-7-trillion-downfall/). Someone who held $100 of Nvidia stock at the Oct 6 high had about $73 left by Wednesday's close, and across the company that came to about $2 trillion, roughly what Canada's economy produces in a year. More than $740 billion of it went in the three trading days after Huang's letter, more than the annual economic output of Sweden or Belgium. On Thursday, the shares fell as much as 16% in the morning, briefly taking Nvidia below $4 trillion for the first time in more than a year, then [closed down about 4%](https://www.nbcnews.com/business/markets/nvidia-stock-huang-resigns-rcna608958). Nvidia ended the week with its sixth straight weekly loss, its longest losing streak since 2012, about [$1.7 trillion](https://www.cnbc.com/2026/11/13/nvidia-stock-jensen-affair-ai.html) below where it stood in early October, and Apple passed it as the world's most valuable company. **Why it matters.** Nvidia was built around Huang. It had no chief operating officer and no obvious second-in-command, and at one point about 60 people reported directly to him, so much of the company's strategy lived with one person. Nvidia says its operations, customer commitments and roadmap will continue without interruption, and its order book is full for a while. Its first test is the quarterly results on Tuesday, Nov 17, where analysts expect revenue of about $108.9 billion, up 91% from a year earlier. ## 2. What Nvidia means to the AI industry Analysts estimate Nvidia sells about 80% of the chips used to train and run AI, and its software, which developers have built on for nearly two decades, makes switching hard. In its last full fiscal year, Nvidia's revenue rose 65% to $215.9 billion, and more than 90% of its sales now come from data centers. Huang also helped pay for the buildout that buys his chips. By late July, Nvidia held about [$99 billion](https://fortune.com/2026/11/14/jensen-huang-nvidia-ai-5-7-trillion-downfall/) in investments across the AI industry, including nearly $50 billion in AI labs such as OpenAI, Anthropic and xAI, and had pledged about $170 billion in financial guarantees and other support. It backs the cloud companies, such as CoreWeave and Nebius, that rent out its chips. It invested in [neolabs](/blog/what-is-a-neolab), the research labs started by people who left the big AI companies, such as Thinking Machines and Reflection AI. Alongside Anthropic's IPO, it agreed to buy about $10 billion of Anthropic's shares. "We're not your largest investor, but we are your best investor," Huang told an audience in London in October. "We've created an industry that the VCs alone cannot fund." Critics, including the investor Michael Burry, call this circular financing, because much of the money comes back as orders for Nvidia's chips. Inside Nvidia, one of the skeptics was Kress, the executive who now runs the company. Reuters reported that she and her team pushed back on some of Huang's largest financing deals, including ones involving OpenAI and the cloud company Lambda. One proposed $250 billion plan to support an OpenAI data center project in Ohio was cut to $120 billion. Huang also shaped the industry's politics. He argued for selling chips to China, saying US export controls had cut Nvidia's share of the Chinese market "from 95% to zero" and that American companies should compete there. He was the most prominent defender of open AI models, whose weights anyone can download and run. Earlier this year he organized an open letter, signed by 25 companies including Microsoft, Meta and Palantir, urging Washington not to over-restrict them, and Nvidia publishes its own open Nemotron models. "We benefit when the world uses AI. Period," he said. "Whether it's closed or open." In Europe and the Middle East, he pitched Nvidia's chips as the foundation of "sovereign AI" that each country could run for itself. **Why it matters.** Huang was the industry's chief salesman, one of its biggest financiers, and its loudest voice in Washington for selling chips abroad and keeping models open. If Nvidia's new leadership is more careful with its balance sheet, the cloud providers, data center developers and AI labs that counted on its money may need other funding, and some of that cost could reach their customers. We'd ask key AI suppliers how their capacity is financed and how much depends on one chipmaker. In the days around the resignation, AMD's stock rose nearly 17% and Broadcom's gained, while cloud companies that depend on Nvidia's chips and financing fell, Nebius by 17% and CoreWeave by 7% on Thursday alone. Our read is that investors are betting customers will spread their orders across more chip suppliers. Kress gets her first chance to say what changes on Tuesday's earnings call, as the skeptic now in charge of the deals she questioned. ## 3. Silicon Valley wants him back Within hours of the first reports that the board might remove Huang, some of the best-known names in technology came to his defense. On the evening of Nov 11, before the resignation was announced, someone on X asked Elon Musk to hire Huang. "[That would be an honor](https://x.com/elonmusk/status/2120688743111971293)," Musk replied. Two days later he [posted](https://x.com/elonmusk/status/2121345211959804234) that "a petition is underway to reinstate Jensen and I'm signing it too." Tim Sweeney, the CEO of Epic Games, [said](https://x.com/TimSweeneyEpic/status/2120708404096168032) removing Huang would be "Apple firing Steve Jobs level of idiocy." Shaun Maguire, a partner at Sequoia Capital, criticized Huang's conduct but called him "irreplaceable for America's AI leadership." The investors Bill Ackman and Gavin Baker, Anduril's Palmer Luckey, Shopify's Tobi Lütke and Perplexity's Aravind Srinivas were among others who publicly backed him or thanked him for what he built. Baker and others argued that the board should have waited for its own investigation before acting, and Musk agreed. The petition, an [open letter to Nvidia's board](https://standwithjensen.com/), asks the board to "bring Jensen back while an independent investigation establishes the facts" and calls for "due process, not mob justice." By the morning of Nov 14 it had more than 100,000 names. Signers identify themselves, and reporters found fake and duplicate entries, but 5,248 said they were current Nvidia employees, about one in eight of the workforce. Wired [reported](https://www.wired.com/story/nvidia-employees-petition-for-jensen-huangs-return/) that a longtime engineer posted on the company's internal suggestion board asking the directors to weigh employee sentiment, and the post drew more than 1,600 comments. "Nvidia is Nvidia because of Jensen," one employee said. Others asked that he be given a second chance. Jeffrey Sonnenfeld of the Yale School of Management said the board had treated Huang like a "monarch," a governance failure in its own right. House Minority Leader Hakeem Jeffries called the resignation the right thing to do. Shareholder lawyers have already filed a class action. Dave Lu, who runs an Asian American advocacy group, said the community was "heartbroken" and argued that Huang had been held to a different standard than other founders. **Why it matters.** The campaign shows how much of Nvidia's identity, and the industry's confidence, was tied to one person. It also puts the board in a hard spot. Bringing Huang back would undercut the investigation and invite more scrutiny from Washington. Keeping him out risks losing employees and partners who were loyal to him personally. Companies that depend on Nvidia should watch whether the people they deal with there, from account managers to engineers, stay through the transition. ## 4. Washington's part Huang was close to President Trump. He gave $1 million to Trump's inaugural fund, visited Mar-a-Lago often and flew with Trump to China on Air Force One in May. The Times reported that Secretary of State Marco Rubio had briefed Trump on intelligence about Huang's relationship with the former Megaspeed executive. Trump later said the warning "didn't make much of an impact" on him. In late 2025, the administration agreed to let Nvidia sell a less advanced chip, the H200, to approved Chinese customers, with the government taking a 25% cut. After Huang's admission, Trump said he would still take him on an upcoming trip to China, and the Times reported that Trump called Huang that week to urge him to fight for his job. After the resignation, Trump told the radio host Hugh Hewitt it was "so sad to see that happen," and [posted on Truth Social](https://truthsocial.com/@realDonaldTrump/posts/117604177898784579) that Apple's Tim Cook should replace him. Within the administration, the blame has turned to the Commerce Department, which decides which companies go on the government's restricted export list. The Times reported that a Commerce investigation into Megaspeed was halted and handed to the Justice Department after Nvidia's general counsel contacted the agents running it. On Nov 13, Treasury Secretary Scott Bessent said on television that Treasury, State, Defense and the US Trade Representative had wanted Megaspeed on that list "for months, but Commerce has the pen," putting Commerce Secretary Howard Lutnick in the spotlight. Sen. Tim Scott, the Republican who chairs the Senate Banking Committee, [wrote on X](https://x.com/SenatorTimScott/status/2121031195165172192) that "the American people deserve answers" and asked Huang to testify on Dec 3 and Lutnick on Dec 10. Lutnick has agreed. Senate Democratic leader Chuck Schumer [said](https://x.com/SenSchumer/status/2120921049097187618) Congress "must demand answers from Mr. Huang and others at Nvidia," and Sen. Ron Wyden and Rep. Richard Neal [opened an inquiry](https://www.finance.senate.gov/ranking-members-news/wyden-and-neal-begin-to-investigate-administration-scheme-to-take-cut-of-nvidia-ai-chip-sales-to-chinese-companies-trump-and-commerce-department-reportedly-ignored-warnings-about-former-ceos/) into the administration's approval of H200 sales to China-linked companies. On the Republican side, House Speaker Mike Johnson [said](https://www.cbsnews.com/news/china-us-export-controls-chips-nvidia-huang-scandal/) there is a "growing consensus" in Congress on tightening chip exports to China, and three bills that would add new controls are attached to the annual defense bill. A nonprofit analysis [reported](https://unemploymentlabs.com/checkpoint-forensics) evidence that leading Chinese open models were trained on Nvidia chips the US has banned for export, though it doesn't show where the chips were or how they got there. China's foreign ministry [said](https://www.fmprc.gov.cn/mfa_eng/xw/fyrbt/202611/t20261113_12059012.html) on Nov 13 that it "has consistently opposed the abuse of export control measures," and called the spy allegations a pretext for a technology blockade. **Why it matters.** Huang was the industry's most effective advocate for selling chips abroad, and his exit removes that voice just as a new Democratic Congress arrives in January. We expect tighter rules on who can buy advanced chips, closer checks on cloud resellers in Asia, and less room for Nvidia to sell to China. The debate over restricting open models, which Huang resisted, could also return. Companies that rent AI computing through regional partners, especially in Southeast Asia, should know who those partners are and where their chips came from. Companies that build on open models should keep track of where those models come from, as we covered in [Everyone wants their own model](/blog/everyone-wants-their-own-model). ## 5. Anthropic goes public in the middle of it Anthropic [launched its IPO roadshow](https://www.anthropic.com/news/roadshow-launch) on Nov 10, two days after Huang's letter. It is offering 825 million shares at $70 to $78 each. The 801 million new shares would raise up to about $62.5 billion, and the offering values the company at about $1 trillion, or about $1.4 trillion counting every share and option. Alongside the IPO, seven companies agreed to buy $26 billion of non-voting shares at the IPO price. According to the [updated filing](https://www.sec.gov/Archives/edgar/data/2130357/000162828026072484/anthropicpbc-sx1ax2.htm), Google and Nvidia would each buy about $10 billion, AMD about $2.5 billion, Broadcom, Micron and Microsoft about $1 billion each, and TSMC about $500 million. The filing showed a business still growing quickly. Anthropic reported $17.0 billion of revenue for the third quarter, up 1,127% from a year earlier, while its spending on computing grew 382%. It had $146.6 billion of available cash and credit at the end of September, before the IPO. We covered the original filing in [our preliminary read](/blog/anthropic-s1-preliminary-read). Anthropic's last private round valued it at $965 billion, so the fully diluted figure is a step up, though the offering was smaller than many had expected. The Nvidia news complicates the picture. Nvidia is one of the two largest buyers in the side deal, made a separate $10 billion commitment to Anthropic late last year, and supplies the chips behind hundreds of billions of dollars of Anthropic's cloud contracts. There may also be an upside: Huang was the strongest voice for open models, the main competition for closed models like Anthropic's, and his departure weakens that camp in Washington. Shares are expected to start trading around Nov 19. **Why it matters.** The price Anthropic gets will set the tone for every private AI company raising money this winter. If it has to price low, investors in private AI rounds will push for lower valuations too. For companies that build on Claude, a public Anthropic will report its revenue, costs and commitments every quarter. That is useful in a negotiation, and a reminder that a supplier with large fixed costs will look for ways to raise what each customer pays. ## 6. Voters turn on data centers Nine days before Huang resigned, the AI buildout lost a different kind of trust. Democrats won both chambers of Congress on Nov 3 and [flipped the governorships](https://apnews.com/article/ef6199e25927a9ac9f4c18eae0e497cd) of Texas, Ohio and Georgia, three of the states with the most data centers under construction. In 41 local ballot measures across 10 states, voters sided against data centers in [all but one](https://www.cnbc.com/2026/11/04/data-center-ballot-measures-2026-midterm.html), and Ohio accounted for 21 of them. In CNBC's voter poll, 56% said data centers were a crucial or major factor in their vote. The incoming governors campaigned on slowing the buildout. Texas governor-elect Gina Hinojosa [wants](https://www.reuters.com/world/us/texas-data-centers-face-uncertain-future-after-hinojosa-wins-governors-race-2026-11-04/) a moratorium pending legislation that gives residents more say, and pledged to end data center tax breaks. Her predecessor, Greg Abbott, had already paused new data center connections to the Texas grid. In Georgia, Keisha Lance Bottoms promised a statewide pause, and in Ohio, Amy Acton wants a conditional moratorium. These are campaign promises, not yet law. SemiAnalysis estimates that most of the capacity due in 2027 is [already under construction](https://newsletter.semianalysis.com/p/the-datacenter-backlash-goes-bipartisan), but up to 41% of what is planned for 2028 could face long delays. On Nov 4, shares of SpaceX and Tesla fell more than 3% after Elon Musk spent hundreds of millions of dollars on a failed effort to keep Texas Republican. The next day, the Nasdaq had its worst day since the April 2025 tariff announcement, though the cause was never clear. OpenAI published a [community compact](https://openai.com/index/setting-new-standard-responsible-ai-infrastructure/) the same day, promising that future data centers it owns and operates will pay their own electricity and infrastructure costs, publish their water and energy use, and stop requiring nondisclosure agreements from public officials, with narrow exceptions. **Why it matters.** The next limit on AI may be local permission, meaning power connections, permits and community support, more than chips. Delays in new capacity would show up as higher prices or longer waits for computing in 2028, especially for companies that need dedicated capacity. We expect more AI companies to follow OpenAI in paying for their own power and publishing their resource use, and more buyers to ask their AI suppliers where their capacity will come from. ## Notable AI news, Nov 1 to 15 - **Nov 2. Marvell [agreed to buy Lumentum](https://investor.marvell.com/news-events/press-releases/detail/1040/marvell-and-lumentum-to-combine-creating-a-category-leader-in-ai-connectivity),** which makes the optical parts that connect AI chips, for $115 billion in stock, the largest merger ever between two public tech companies. - **Nov 2. Oracle [filed to raise](https://www.bloomberg.com/news/articles/2026-11-02/oracle-is-offering-10-billion-of-high-grade-dollar-bonds) $10 billion of bonds and $10 billion of new shares** to fund its AI buildout. - **Nov 2. Applied Compute, which helps companies train their own models, [raised $350 million](https://www.appliedcompute.com/company/100m-run-rate-fundraise) at a $3.25 billion valuation,** and Trajectory [raised $45 million](https://www.trajectory.ai/field-notes/introducing-the-trajectory-platform). We covered why in [Everyone wants their own model](/blog/everyone-wants-their-own-model). - **Nov 2. Salesforce [agreed to buy Cresta](https://www.salesforce.com/news/stories/salesforce-signs-definitive-agreement-to-acquire-cresta/),** a contact-center AI company, for a reported $2.7 billion. - **Nov 3. Revolut [said](https://www.theregister.com/ai-and-ml/2026/11/03/british-fintech-revolut-slashes-ai-coding-costs-10x-by-cutting-out-claude-and-going-self-hosted/5307345) it cut its AI coding costs by about 90%** by running open models on 56 Nvidia chips it operates itself, for about 2,000 engineers. - **Nov 3. Menlo Ventures' [annual enterprise AI report](https://menlovc.com/wp-content/uploads/2026/11/menlo_ventures_enterprise_ai_report-2026-110326.pdf) found 10% of companies building with AI now train their own models,** and that the frontier labs take 69% of what companies spend deploying AI models. - **Nov 3. CrowdStrike [agreed to buy](https://www.wsj.com/pro/cybersecurity/crowdstrike-to-buy-two-ai-security-startups-for-495-million-b0ef6a9e) two AI security startups, Fiddler AI and Dreadnode,** for about $495 million combined. - **Nov 3. Fal, which runs AI models for developers, [raised $1.3 billion](https://www.bloomberg.com/news/articles/2026-11-03/ai-inference-startup-fal-raises-capital-at-16-billion-valuation) at a $16 billion valuation.** - **Nov 4. Cognition [moved its fast coding model](https://cognition.com/blog/swe-2-flash) onto Thinking Machines' American open model,** away from the Chinese open model it had been built on. - **Nov 5. OpenAI [limited GPT-6 Cyber](https://deploymentsafety.openai.com/gpt-6-cyber) to vetted security users,** because it rates the model Critical, its highest risk level, for cybersecurity. - **Nov 5. Meta [acquired Conductor](https://www.conductor.build/announcement),** a coding-agent startup; its cloud service shuts down Nov 20. - **Nov 5. METR, an outside AI safety evaluator, [said](https://metr.org/blog/2026-11-05-anthropic-ai-rd-acceleration-assessment/) Anthropic redacted much of the evidence** behind its claims about AI speeding up its own research. - **Nov 5. Claude [added read-only connections](https://claude.com/resources/articles/introducing-personal-finance-in-claude) to bank and card accounts** through Plaid, in a US beta. - **Nov 5. Cat Wu, who led product for Claude Code, [joined OpenAI](https://www.businessinsider.com/cat-wu-joins-openai-from-anthropic-product-lead-coup-2026-11).** - **Nov 5. Shield AI [raised $1 billion](https://shield.ai/shield-to-acquire-echodyne-in-a-transaction-valued-at-5-3-billion-and-raise-2-5-billion-at-a-28-8-billion-valuation/) at a $28.8 billion valuation and agreed to buy radar maker Echodyne for $5.3 billion.** - **Nov 6. Thinking Machines was [reported](https://www.businessinsider.com/thinking-machines-lab-is-closing-5-billion-new-round-2026-11) to be near a $5 billion round at a $40 billion valuation.** We explained the neolabs in [What is a neolab?](/blog/what-is-a-neolab) - **Nov 9. Notion [said](https://www.notion.com/help/security-incident-involving-a-third-party-ai-vendor) a breach at its AI provider Fireworks exposed some AI chat content** from fewer than 1% of workspaces, and stopped serving open models through Fireworks. - **Nov 10. Mercor, which supplies expert data for training AI, [raised $750 million](https://www.businesswire.com/news/home/20261110410031/en/Mercor-Raises-$750-Million-Series-D-at-$20-Billion-Valuation-to-Help-Enterprises-Own-Their-Intelligence) at a $20 billion valuation.** - **Nov 10. Hedra [launched a Model Factory](https://www.globenewswire.com/news-release/2026/11/10/3399821/0/en/hedra-launches-model-factory-an-autonomous-post-training-and-inference-platform-for-real-world-ai.html)** that retrains customers' models from how they perform in use. We covered self-improving systems in [AI systems that improve themselves](/blog/ai-systems-that-improve-themselves). - **Nov 10. OpenAI [introduced business profiles](https://openai.com/index/introducing-businesses-chatgpt/) and branded agents in ChatGPT,** giving companies a direct presence where customers ask questions. - **Nov 10. Axios [reported](https://www.axios.com/2026/11/10/sequoia-capital-spacex-reinvention-venture) on Sequoia's overhaul,** including closing its London office and ending its Scouts and Arc programs. - **Nov 11. Ramp's AI Index [put median AI spending](https://ramp.com/data/ai-index-nov-2026) at $16.32 per employee in October,** with the top 1% of companies accounting for 80% of the OpenAI and Anthropic revenue it tracks. - **Nov 11. UK chipmaker Fractile [raised more than £500 million](https://www.gov.uk/government/news/sovereign-ai-and-british-business-bank-invest-in-british-firm-developing-the-next-generation-of-ai-hardware) at a valuation above £5 billion,** with the UK government's Sovereign AI fund among the investors. - **Nov 12. Mirendil, a new AI lab, [raised a $1 billion Series A](https://mirendil.com/news/series-a/)** led by Kleiner Perkins and Clearlake. - **Nov 12. Samsung was [reported](https://www.bloomberg.com/news/articles/2026-11-12/samsung-is-in-talks-to-acquire-data-center-cooling-firm-modine) to be in talks to buy Modine,** which makes cooling systems for data centers. - **Nov 12. Claude [can now join Google Meet calls](https://support.claude.com/en/articles/18325154-use-claude-meetings) and build documents during them,** in a beta for Team and Enterprise customers. - **Nov 13. LangChain [raised $300 million](https://www.langchain.com/blog/series-c) at a $3 billion valuation.** - **Nov 13. OpenAI [launched ChatGPT Wallet](https://openai.com/index/introducing-chatgpt-wallet/),** which lets agents pay with virtual card numbers after the user approves each purchase. --- ## Related answers and comparisons - [All answers to enterprise AI questions](https://hellofig.io/answers) (markdown: https://hellofig.io/answers.md) - [Enterprise AI platforms compared](https://hellofig.io/alternatives) (markdown: https://hellofig.io/alternatives.md)