Netflix Founder Goes to His Most Feared Place

marsbitОпубліковано о 2026-04-20Востаннє оновлено о 2026-04-20

Анотація

Netflix co-founder Reed Hastings is stepping down as chairman after nearly 30 years with the company, despite Netflix reporting its strongest-ever quarterly results with a 16% revenue increase and 83% surge in net profit. Hastings, who studied AI in the 1980s, has joined the board and donated $50 million to study AI’s impact on society. He now views AI as the biggest threat to Netflix, fearing that AI-generated content could eventually make free platforms like YouTube more appealing than paid services. While Netflix is using AI to improve production efficiency, Hastings is hedging his bets by engaging directly with AI governance, concerned that the rapid pace of AI development could disrupt the entire content industry.

Author: David

Netflix has never been as profitable as it is now, yet its founder chose this moment to leave.

On April 16, Netflix released its Q1 2026 earnings report, with revenue of $12.25 billion, up 16% year-over-year, and net profit surging 83% YoY. Earnings per share were $1.23, nearly 60% higher than Wall Street's expectation of $0.76.

But the earnings report also announced another thing: co-founder and current Chairman Reed Hastings will not seek re-election after his term ends in June.

Hastings founded Netflix in 1997, building it from a DVD-by-mail business into a streaming giant with over 325 million paid members worldwide, working for nearly 30 years. In 2023, he handed the CEO role to his successor and stepped back to Chairman. Now, he's leaving the Chairman role too.

In its filing with the U.S. Securities and Exchange Commission, Netflix specifically wrote: "This decision is not the result of any disagreement with the company."

But the more they emphasize no disagreement, the more it makes people wonder what he is actually going to do.

A little-known fact is that in May last year, Hastings had already joined the board of Anthropic. For almost 30 years, his business has essentially been about getting people to pay for content, while Anthropic's Claude, though not directly generating video, is changing the way content is produced.

From text to images to video, costs are getting lower and speeds faster.

Netflix's profitability relies on good content being worth paying for. If AI lowers the barrier to content creation enough, does that premise still hold?

Hastings is clearly already thinking about this.

What is he afraid of?

As a top global content producer and distributor, Netflix's founder has always had a conceptual concern about AI.

You might not know this, but in 1988, Hastings was studying for a master's in AI at Stanford. That's right, 40 years ago he was researching artificial intelligence. It's just that the AI of that era was nothing like the useful tool it is today...

In 2022, Hastings was invited as a speaker at Stanford's graduation ceremony.

He later talked about it himself, sounding like he was telling a joke about a wrong turn in his youth. AI didn't work out, so he turned to starting a software company, and later founded Netflix, which he ran for nearly 30 years.

Someone who studied AI couldn't help but pay attention to the field.

In a 2024 interview, talking about AI, he was quite relaxed: "AI will help us become more creative, we can use these tools to make more shows." His attitude then was one of embrace. AI was a tool, there to help, not to take jobs.

In March 2025, he donated $50 million to his alma mater, Bowdoin College.

This liberal arts college in Maine doesn't work on large models; Hastings gave them money for a research initiative called "AI and Humanity," specifically studying the impact of AI on work, education, and human relationships.

On the day of the donation, he said something completely different from his relaxed tone a year earlier: "We are going to fight for the survival and flourishing of humanity."

In one year, AI progressed rapidly, and his stance shifted from AI helping work to AI being a threat to humanity.

Two months later, he joined the Anthropic board.

He was appointed by an independent body called the "Long-Term Benefit Trust," whose five members hold no Anthropic stock, with the sole duty of ensuring AI development aligns with humanity's long-term interests.

In March of this year, he spelled it out most clearly in another interview. The host asked him what the biggest risk facing Netflix was, and he skipped over competitors and subscriber growth, saying just two words:

AI.

He said if AI makes the free content on YouTube cool and engaging enough, and all the young people go watch free content, then who will pay for Netflix?

From public information, you can find Hastings calling himself an "extreme techno-optimist." He doesn't think AI itself is bad, the problem is the speed gap.

AI technology is moving too fast, and humanity's moral and institutional systems can't keep up.

This explains his seemingly contradictory choices over the past year. Donating money not to a technical AI lab, but to a humanities college; joining a board, not any commercial AI company's advisory group, but Anthropic's safety committee.

In the author's opinion, Hastings is more qualified than most to be concerned about whether AI will disrupt the industry.

Netflix itself was the disruptor in the last cycle. It used streaming to kill DVD rentals, crippled cable TV, and forced all of Hollywood to rebuild its distribution system. He personally did the "use new technology to drive content and distribution costs low enough to kill the previous winners" thing once.

Now he's looking at AI, probably wondering who's next.

So, Hastings is simultaneously a major shareholder of Netflix and a director at Anthropic. Holding shares of the company he founded, he takes a seat in the industry that might disrupt it.

This might not be called retirement. It's called hedging.

Despite the AI impact, Netflix has actually never been better

Four years ago, Netflix was a company with just over $30 billion in annual revenue and less than 20% profit margins, being hounded by Wall Street asking "when will you make real money?" This earnings report four years later provides the answer.

Q1 2026, net profit was $5.28 billion, up 83% YoY. Free cash flow was $5.09 billion, almost double that of the same period last year. Meanwhile, the profit margin reached 32%. The full-year revenue guidance is $50.7 to $51.7 billion. If they actually achieve it by year-end, it means Netflix's revenue has nearly doubled in three years.

Beyond daily operations, Netflix isn't blind to AI either.

A few weeks ago, it spent up to $600 million to acquire InterPositive, a company that makes AI-assisted film and TV production tools, using AI to accelerate script development, scene previews, and post-production. Netflix also specifically mentioned generative AI in its earnings letter, saying it will use it to improve content production and user experience.

Using AI to reduce production costs and improve efficiency is a sound approach. In fact, the entire Hollywood or content production industry is moving in this direction.

It's just that the concern founder Hastings expressed in the interview might be about a different problem.

In February of this year, ByteDance released its video generation model Seedance 2.0. Upload a photo, and it generates a 2K video with camera movement, sound effects, and lip-syncing in 60 seconds.

After testing it, Feng Ji, producer of Black Myth: Wukong, said four words: "The childhood era of AIGC is over." Director Jia Zhangke posted on Weibo saying he was preparing to use it to make a short film...

More concrete numbers come from within the industry. According to Securities Times reports, in the e-commerce advertising sector, one person using Seedance 2.0 can complete in 30 minutes what used to take 7 people 3 days, reducing costs by over 99%.

Extras in Hengdian, video editors, special effects producers—people across the entire industry chain are all saying the same thing—job anxiety.

Gong Yu, founder of iQiyi, publicly stated a judgment late last year: AI could reduce the costs of the film and television industry by an order of magnitude, increase creators by an order of magnitude, and increase works by two orders of magnitude.

Netflix using AI to reduce production costs is about improving efficiency within the existing model. But what Seedance and others are doing is lowering the barrier to "making video" from millions of dollars to a few dollars.

The future Hastings spoke of, where "free content on YouTube becomes good enough," is step by step becoming reality.

Of course, all this might not be directly related to his decision to leave Netflix now. He started handing over power in 2023—CEO, Chairman, step by step—with at least a three-year transition period.

It's just that the timing is indeed微妙 (subtle/interesting). Netflix delivered its best-ever earnings report, and the stock fell 8% after hours. On the same day, the founder announced his complete departure.

After June, Hastings' name will disappear from Netflix's board list.

His current titles are Director at Anthropic, Director at Bloomberg, and owner of a ski resort in Utah. He still holds Netflix stock; Forbes estimates his net worth at $5.8 billion, mostly tied to Netflix.

He holds Netflix's money, sitting at AI's table.

As for whether this choice is foresight or overcaution, we might only get the answer when AI can actually produce a movie that audiences are willing to watch to the end.

Пов'язані питання

QWhy did Reed Hastings decide to step down as Chairman of Netflix despite the company's strong financial performance?

AReed Hastings stepped down as Chairman of Netflix to focus on his role at Anthropic's board and to address the long-term risks and opportunities posed by AI, which he sees as a potential threat to the traditional content business model.

QWhat is Reed Hastings' background in AI, and how does it influence his current concerns?

AReed Hastings studied AI for his master's degree at Stanford in 1988. His early exposure to AI fuels his deep concern about its rapid advancement and potential to disrupt industries, including content creation and distribution.

QHow does AI pose a threat to Netflix's business model according to Hastings?

AHastings fears that AI could make free content on platforms like YouTube so compelling and high-quality that consumers may stop paying for Netflix, undermining its subscription-based revenue model.

QWhat actions has Hastings taken to address the challenges and opportunities of AI?

AHastings joined the board of Anthropic, a company focused on AI safety, and donated $50 million to Bowdoin College for a research program studying AI's impact on work, education, and human relationships.

QHow is Netflix itself responding to the rise of AI in content creation?

ANetflix acquired InterPositive, an AI-assisted film production tool company, for up to $600 million and is using generative AI to improve content production efficiency and user experience, aiming to reduce costs and enhance creativity.

Пов'язані матеріали

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

For years, the AI industry has been guided by a singular "map" — the belief that the AI era's "new continent" would be found in the Chatbot, a super-app akin to the mobile internet's super-apps. This belief was fueled by ChatGPT's explosive 2022 debut. However, three years of heavy investment reveal a different reality: the Chatbot-as-ultimate-entry-point model is struggling. The core issue is economic. Chatbots defy traditional internet economics. Unlike apps with near-zero marginal cost, each AI query consumes significant, expensive compute. More users mean higher costs, not profits. OpenAI, despite ~900M weekly active users, reportedly loses money. The expected network effects and data flywheels that power internet giants are weak in Chatbots, as one user's interactions don't improve another's experience. Monetization is a major hurdle. The subscription model faces low conversion rates, especially in China where users expect AI to be free. The "free + ads" model also struggles. Chatbot interactions often lack commercial intent, and inserting ads compromises the trust essential for an answer engine. Perplexity's minimal ad revenue and subsequent pivot away from ads highlight this difficulty. Switching between Chatbots is easy, making user loyalty low and competition a potential race to the bottom on price. Data suggests the standalone Chatbot's growth is slowing, and user engagement (avg. ~6 mins/day) pales compared to apps like TikTok. The product form itself is limiting; studies show nearly half of interactions are simple Q&A, trapping AI's potential in a passive, single-turn "cage." A contrasting, more successful path is emerging, exemplified by Anthropic. With over 85% of its ~$30B annualized revenue from enterprises, it focuses on AI as a productivity tool, not a companion. The rise of AI Agents (like OpenClaw) and the integration of AI into existing workflows (e.g., Google's AI Overviews, Apple Intelligence in OS) signal a shift. The future may not be a dominant Chatbot app, but AI embedded seamlessly into social apps, operating systems, and hardware — a capability-layer revolution, not a new distribution container. The conclusion is clear: the old "map" centered on a standalone Chatbot super-app is leading to a dead end. To find the true valuable "continent" of the AI era, the industry must update its navigation to prioritize deep integration, practical utility, and sustainable economics over a generic conversation window.

marsbit5 хв тому

Chatbot has been burning money for three years, is it still the 'New Continent' of the AI era?

marsbit5 хв тому

TaiJi Completes $3.5 Million Strategic Financing with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

TaiJi, an AI-driven market intelligence platform for Web3, has completed a $3.5 million strategic funding round. The investment was led by Castrum Capital, Becker Ventures, and Coinvestor Ventures. The funds will be allocated to product R&D, upgrading its AI inference engine, building a multi-agent analysis system, improving market data infrastructure, expanding its global community, and advancing ecosystem partnerships, particularly within the BSC ecosystem. TaiJi aims to transform how users understand the Web3 market by moving beyond simple data display. It integrates market data, on-chain signals, liquidity changes, social sentiment, and news events into a unified AI system. This system generates structured event inferences, impact pathways, risk assessments, and follow-up indicators. The platform's core approach involves a multi-agent framework where specialized agents (Market, On-chain, Sentiment, Risk, Event) collaboratively analyze disparate signals to produce coherent market intelligence. Its initial product will feature modules including Market Intelligence, a Scenario Engine for AI-powered event analysis, an Impact Map, Risk Signals, and a personalized user dashboard called "My TaiJi." TaiJi emphasizes that it does not custody user assets, execute trades, provide investment advice, or promise returns. Following this funding round, the company plans to accelerate product development and testing, gradually rolling out its core features to the broader Web3 market.

marsbit53 хв тому

TaiJi Completes $3.5 Million Strategic Financing with Participation from Castrum Capital, Becker Ventures, and Coinvestor Ventures

marsbit53 хв тому

Huang Renxun and Marvell CEO Discuss on Stage: The Future of AI Competition is Not Computing Power but Connectivity, 'Use Copper Where You Can, Use Optics Only Where You Must'

Summary: At Computex 2024, NVIDIA CEO Jensen Huang joined Marvell CEO Matt Murphy on stage, highlighting the strategic partnership between their companies. The core theme was that the next decisive battleground for AI infrastructure is not compute or memory, but connectivity. As AI models evolve into vast agent-based systems, the ability to connect millions of processors efficiently is becoming the critical bottleneck. Huang announced NVIDIA's strategic $20 billion investment in Marvell, reflecting the deep integration between their technologies for AI data centers. A key discussion point was the transition from copper to optical interconnects within racks. The guiding principle, articulated by Huang, is: "You use optics wherever you must, you use copper wherever you can." While copper remains cost-effective for short distances, its physical limits are being reached as bandwidth demands double. When moving to 400Gbps, copper can no longer fully connect an entire rack. This shift necessitates innovations like Co-Packaged Optics (CPO), which integrates optical engines directly into the chip package to solve density and power challenges. Marvell demonstrated its 51.2T CPO-based switch, eliminating copper traces on the PCB. The future vision is a "distance-free data center," where optical connectivity removes physical constraints. This allows for fully disaggregated, dynamic architectures where compute, memory, and storage pools can be combined on-demand based on workload requirements, rather than being limited by connection boundaries. Marvell, positioned as a neutral "Switzerland" in the ecosystem with a comprehensive portfolio across all connectivity distances, is central to enabling this next era of AI infrastructure.

marsbit59 хв тому

Huang Renxun and Marvell CEO Discuss on Stage: The Future of AI Competition is Not Computing Power but Connectivity, 'Use Copper Where You Can, Use Optics Only Where You Must'

marsbit59 хв тому

Торгівля

Спот
Ф'ючерси
活动图片