Key Moments
Dear AI Companies: Stop the “Doom Trolling”
Deep Questions with Cal NewportWant to know something specific about what's covered?
We've already dissected every moment. Ask and we will deliver (with timestamps).
Key Moments
AI companies are "doom trolling" by hyping existential risks to mask their products' limited real-world utility and justify massive valuations.
Key Insights
AI companies like OpenAI and Anthropic are simultaneously hyping existential risks (e.g., extinction, mass job automation) and accelerating development, a strategy Cal Newport terms "doom trolling."
Dario Amade of Anthropic claimed a 25% chance of AI future going "really, really badly" and 50% of entry-level white-collar jobs being automated in 1-5 years.
OpenAI CEO Sam Altman signed an open letter stating the risk of extinction from AI is on par with nuclear war.
Newport argues AI companies' "doom trolling" is morally indefensible, as they either genuinely believe the catastrophic risks (in which case they should stop development) or are cynically manipulating public anxiety for financial gain (e.g., IPOs, investment).
Most East Coast computer scientists, not influenced by Silicon Valley's "quasi-religious eschatology," view current language models as having more narrow applications, like structured language tasks, rather than an inevitable path to superintelligence or mass automation.
Newport advises individuals to "stop playing along with the doom trolling game" by ignoring future-tense statements from AI companies and focusing on current product utility, recognizing that journalists often amplify the AI companies' own anxieties.
The rise of "doom trolling" in AI discourse
Cal Newport introduces the concept of "doom trolling" to describe the communication strategy employed by major AI companies. Instead of promoting optimism, these companies often highlight the potential catastrophic harms of their technologies, while simultaneously accelerating their development. Newport points to examples like Yuval Harari, Tristan Harris, and Ofori Ambeka's op-ed predicting AI could hack "the operating system of civilization" and that the US presidential race might be run by AI by 2028. This trend continued with OpenAI's Sam Altman stating AI extinction risk is on par with nuclear war and Anthropic's Dario Amodei suggesting a 25% chance of a disastrous AI future and 50% job automation within 1-5 years. This fear-mongering, Newport argues, has led to widespread public distrust and anxiety, as evidenced by an email from a software developer suffering from mental health issues due to constant AI-related doomsday predictions. This strategy, he contends, is a departure from traditional technology introductions that focused on excitement and utility.
The twofold moral dilemma of "doom trolling"
Newport posits that the "doom trolling" strategy presents a stark moral dilemma with two equally problematic options for AI companies. The first is that they genuinely believe their current AI trajectory poses non-trivial risks of catastrophic outcomes, including economic collapse or human extinction. If this were true, Newport argues, ethical considerations would demand they immediately halt all development and lobby aggressively to stop other companies from pursuing such futures. Any other action, like seeking IPOs and large valuations, would be "monstrous." The second option is that the companies do not truly believe in these existential risks but are employing these dire predictions for other reasons. This could include amplifying their technology's perceived power to attract investment capital, competing for top engineering talent steeped in Silicon Valley's "doom-centric" culture, or engaging in regulatory capture to stifle competition. Newport labels this cynical manipulation of public anxiety for financial gain as equally "monstrous."
Challenging the narrative of inevitable AI catastrophe
Newport contrasts the prevailing AI company narrative with the views of many East Coast computer scientists who are not immersed in Silicon Valley's specific eschatological culture. These scientists tend to view large language models as tools with more limited, albeit useful, applications, primarily in highly structured language tasks like coding. They do not see the current path as an inevitable trajectory towards superintelligence, mass automation, or economic collapse. Newport notes that companies investing heavily in AI outside of software development are scaling back, and even software developers are reducing token budgets due to insufficient returns on investment. He likens the current AI hype to the unreliable predictive technology seen in sci-fi movies, rather than a guaranteed path to uncontrollable AI. He concludes that regardless of whether companies genuinely believe the dire risks or are being cynical, their current communication strategy is morally indefensible.
The financial incentives behind "doom trolling"
Newport elaborates on the financial motivations driving AI companies' "doom trolling" strategy. He suggests that by presenting themselves as creators of potentially world-altering or even species-ending technology, these companies can command significantly higher valuations than their current business models might otherwise justify. OpenAI, for instance, is described as a "money-losing natural language version of Google," and Anthropic as a "software development utility company." These realities do not align with the multi-trillion-dollar valuations they seek. The narrative of inventing "the last tool ever that's going to run the whole economy" creates a powerful hype that encourages investors to "write a check." This strategy pushes them into "meme stock territory," similar to how SpaceX benefited from hype. Therefore, the fear-mongering serves a direct financial purpose by making the companies appear more significant and essential than their current product utility suggests.
Individual strategies to counter "doom trolling"
For individuals feeling overwhelmed by AI-related anxiety, Newport suggests concrete actions to push back against the "doom trolling" game. Firstly, he advises ignoring all future-tense statements made by AI companies, focusing instead on the current utility and value offered by their released products. He emphasizes that journalists often merely relay the anxieties projected by AI leaders, so significant news about AI threats should be viewed with skepticism, as it reflects the companies' own projections rather than independent expert analysis. Newport also highlights that the burden of proof lies with those making extraordinary claims; it is not the individual's responsibility to disprove doomsday predictions but the doomsayers' to provide convincing evidence. He encourages the widespread use of the term "doom trolling" to denigrate and ridicule this communication strategy, making it culturally unacceptable for companies to issue alarming reports without concrete changes to their products or research directions.
Reframing the conversation: Product basics vs. existential dread
Newport advocates for a return to basic product-level discussions when engaging with AI companies. Instead of the current cycle of existential dread and inexplicable benchmarks, he urges companies to explain what they are selling, how much revenue they are generating, and whether their valuations are justified by tangible business results. This normalizes AI as a consumer product, similar to any other technology, rather than a mysterious force capable of reshaping civilization. He posits that this shift would make it harder for companies to continue their "doom trolling" tactics, as it forces them into a more transparent and accountable business conversation. Ultimately, Newport’s goal is to foster a more balanced and realistic public understanding of AI, encouraging people to "care about AI, but not everything you read about it."
Mentioned in This Episode
●Products
●Software & Apps
●Companies
●Organizations
●People Referenced
Pushing Back Against AI Doom Trolling
Practical takeaways from this episode
Do This
Avoid This
Common Questions
Doom trolling refers to the strategy employed by some AI companies of simultaneously hyping their technology and warning about catastrophic future risks like job loss, economic collapse, or human extinction. This is done to unnerve customers and the public, often for financial gain.
Topics
Mentioned in this video
Co-authored an alarming New York Times op-ed predicting AI could hack and manipulate civilization's operating system.
Co-authored an alarming New York Times op-ed predicting AI could hack and manipulate civilization's operating system.
Author of the New Yorker piece 'What Kind of Mind Does ChatGPT Have?' and the op-ed 'Dear AI Companies: Stop the Doom Trolling.' He hosts the podcast 'Deep Questions.'
CEO of OpenAI, criticized for signing an open letter on AI extinction risk and for promoting 'doom trolling' tactics.
CEO of Anthropic, criticized for statements about AI causing human extinction and automating 50% of white-collar jobs.
Wrote a column calling Anthropic's AI model 'terrifying' after attending a briefing, later questioning if it was a publicity stunt.
Mentioned as an example of a technology leader who historically presented new innovations with optimism and excitement (introducing the iPhone).
An investor and AI advisor who suggested Anthropic used fear-mongering for regulatory capture. He also retweeted Newport's op-ed.
Mentioned regarding AI companies' desire for large valuations, comparing their ambitions to Musk's.
Retweeted Cal Newport's op-ed, demanding that AI companies stop their 'self-serving and fatalistic doom trolling.'
Called Cal Newport's op-ed 'the best thing I've read about AI in years.'
AI company whose CEO, Sam Altman, signed an open letter comparing AI extinction risk to nuclear war and is criticized for 'doom trolling.'
AI company whose executives, particularly Dario Amodei, promote 'doom trolling' by emphasizing existential risks and job automation.
Mentioned as an example of a company that benefited from a 'meme stock' type of hype, similar to how AI companies are creating hype for investment.
An episode where a car company mistakenly believes Homer Simpson is a genius, leading to a disastrous car design, used as an analogy for underestimating AI leaders.
The advanced AI chip from the movie is contrasted with the current capabilities of language models, suggesting they are not yet capable of autonomous, superintelligence.
More from Cal Newport
View all 308 summaries
58 minAre You Lazy or Just Overstimulated?
59 minDo I Need a “Brain Gym”?
21 minAre We About to Lose Control of AI? (*sighs*)
34 minAre You Too Busy to Think? | The Case for Pressing Pause
Ask anything from this episode.
Save it, chat with it, and connect it to Claude or ChatGPT. Get cited answers from the actual content — and build your own knowledge base of every podcast and video you care about.
Get Started Free