Supremacy: The Epic Battle for Artificial Intelligence by Parmy Olson
Introduction to the book
A well-structured and thought-provoking book – Supremacy that provides a parallel and event-based journey of tech-giants – Altman and Hassabis. An opinion columnist at Bloomberg, Parmy Olson, tracks the establishment of OpenAI and DeepMind, the critical strategic decisions of the transformation of Artificial Intelligence (AI) development from independent, ethically focused ventures into highly valuable corporates controlled by powerful multinationals including Microsoft and Alphabet.
The book explores the rapidly advancing world of AI and presents an in-depth perspective on the story behind AI supremacy and the animosity between two tech giants – OpenAI and DeepMind. The book looks at a deeper understanding of what happens when futurists secure the power of big technology. It is appealing for those interested in understanding the development of AI that has the power to shape societies. The book falls into the category of business story telling (Mills and Deal, 2023) and the same book has been reviewed (Krishnamurty, 2024).
With different backgrounds and approaches to AI development, the book revolves around the stories of two visionaries – Sam Altman and Demis Hassabis. The AGI has incredible promise but companies like Microsoft and Google stand to benefit the most unlike past innovations such as electricity. The potential harms because of AI’s algorithmic biases and privacy violations are challenging to classify thereby allowing the big techs to prioritize profits over moral principles. AI’s growth is dominated by profit hence overshadowing its utopian principles of transparency. The impact of AI on environment and labor conditions are major concerns that development of AI is facing. The labor behind the development of AI happens to be in harsh environments in India and Mexico raising serious questions on exploitation.
Olson has conducted exclusive interviews and used her insider reporting to secure insights into the book (Sooryamoorthy, 2025). Also, she has relied mostly on the first-hand accounts from DeepMind and OpenAI insiders shed light on boardroom decisions that took place in these big tech giants. The author has also considerably used archival corporate material and public statements to provide context and background for the major happenings (Eulenberg, 1984).
At the same time, Olson has systematically cross-checked claims like on the spin-out plans for Google DeepMind’s, internal term sheets and the partnership between OpenAI and Microsoft through multiple sources and not just relied on one protagonist’s memory (Delahaye et al., 2009).
Big tech is consolidating power by acquiring innovative startups rather than driving fresh breakthroughs themselves. This raises a big question, how much control should a few corporations wield over humanity’s AI driven future. While the race for AI dominance promises to reshape society the full cost of this transformation remains uncertain, leaving humanity to grapple with the price of progress.
This book falls within the fields of technology studies and management history providing a historical perspective of the conflict between corporate ambition and altruistic science (Cristofaro and Giardino, 2025).
Each chapter is based on key ideas in Supremacy:
Introduction journey of Sam Altman and Demis Hassabis: The unconventional paths of Altman from high school math prodigy and founded Loop and Hassabis chess prodigy and later then founded DeepMind aiming for AGI. Altman grappled with ethical questions about future technology it was a combination of his love of philosophy and science fiction from Stanford Alman entered the startup world with looked a mobile app that used GPS to show your friends whereabouts it collapsed under privacy concerns but the experience made him aim higher he wanted to use AI to save the world but also be the one who saved the world from the dangers of AI. While Hassabis at just 17 years old while many saw games as mere entertainment, Hassabis viewed them as a training ground for the mind he began to consider a bigger question what if the collective brain power of the world's smartest Minds could solve real world problems inspired by the idea of a Theory of Everything.
Big ideas and utopian thinking:AGI DeepMind attracted major investors like PayPal’s Peter Teal Skype’s John Talin as well as Elon Musk but their focus on safety and ethics clashed with potential buyers like Facebook leading the founders to decline lucrative offers. A new and more intriguing suitor emerged, DeepMind meets Google, one of the biggest challenges in developing AGI is the sheer amount of computing power in 2017 and its subsequent hesitation to utilize it for fear of disrupting its core business.
Red flags everywhere: In 2014 DeepMind sold to Google for $650 million turning down a higher offer from Facebook the deal came with strict conditions deep minds work wouldn’t be used for military applications and an ethics board would oversee AI development while Google initially agreed it soon abandoned the ethics board idea and integrated DeepMind into its broader alphabet structure eroding the promised autonomy musk who briefly served on DeepMind’s ethics board wasn’t happy.
OpenAI takes the ball and runs: DeepMind’s Journey under Google has been a blend of ambition, ethical struggles and mounting frustration the founders initially hoped to remain an independent entity but as DeepMind’s breakthroughs grew more valuable to Google’s business independence became a distant dream while some at DeepMind team focused on ethical applications like health care and energy. The book also focuses on ethical conflicts including the exposure of existing biases in the system. The selfless goals of DeepMind were time and again dismissed by the profit-driven agenda of corporates like Google. It is believed that these AI systems were trained on biased data that can reinforce the disparities, thereby deepening the difficulties they were meant to resolve. The real-world examples of biased AI systems underscore these risks tools like Compass used for criminal penalization have shown ethnic biases fraudulently labeling black perpetrators at higher risk than whites. Researchers including Gebru and Mitchell who were working at Google exposed these dangers and advocated for transparency and accountability were later terminated.
In the name of effective altruism: Lack of suitable regulation, accountability and ethics that were championed by Altman and Hassabis are lost in the name of effective altruism by the big Tech. The game changer came in November 2022 with open AI’s release of ChatGPT initially a modest research preview it became a global phenomenon drawing over 30 million users by early 2023 ChatGPT’s fluent and knowledgeable responses captivated the world and sparked a competitive frenzy in the tech industry.
Can’t stop or won’t stop? Present day ethical concerns have paid little attention to the effective altruism movement popular in Silicon Valley which prioritizes solving long-term global issues even if it involves making risky technological advancements today. The last section discusses the influence of AI and effective altruism may have grown too vast and lucrative to stop, can’t stop or won’t stop. The AGI holds incredible promise but companies like Microsoft and Google stand to benefit the most unlike past innovations. A big question is how much control a few corporates wield over humanity’s AI driven future while the race for AI dominance promises to reshape society.
Book highlights
The criticality of Supremacy is on Big Tech giants that include Alphabet and Microsoft have gained extraordinary and treacherous control over the innovations in the field of AI. The details on how critical technological innovation gets compromised from its’ initial mission over the need for resources are also explained in the book. Despite being founded on optimist principles both OpenAI and DeepMind were pressed to hand over control to Big Tech giants – Google and Microsoft to gain control to the enormous power required for the development of technologies including AGI.
The depth of research and dual-biography approach gives credibility and authority to Olsen’s narrative in the book (Cassell and Fillis, 2006). All through the book, she has avoided sensationalism, instead of offering a balanced perspective on the foreground’s corporate financial history, potential benefits of AI and the associated risks.
Olsen in this book writes about behind the scenes tech giants like Google and Microsoft gained unprecedented control over AI within broader historical currents. Pushing its development forward with little oversight and potentially disastrous consequences at the heart of this story are two visionaries Alman and Demi initially motivated by the desire to build AI that could benefit humanity.
Conclusion
As the applicability of AI systems in legal domains is rising, so are the risks associated with criminal sentencing that over the period have shown racial biases and unfairly labeling black defendants as higher risk than white ones as these systems are trained on biased data, the predictive policing systems can’t act fairly. Perpetuate over policing in minority communities’ researchers have worked to expose these dangers advocating for transparency accountability and ethical guidelines. They have shown how biased data sets lead to harmful outcomes such as AI classifying black people in dehumanizing ways or glorifying photos of mass destruction, but their work depends on tech giants listening something that that in a landscape driven by profit remains uncertain. Open AI takes the ball and runs despite Google’s reputation for innovation; it has spent much of the last decade acquiring companies and maintaining the status quo rather than making bold changes even after deep mind’s groundbreaking development of the transformer in 2017. The Financial Times Business Book highly recommended it for purchase, given its comprehensive scope and critical analysis of the centralization of power (FT Business Book, 2024).
The big tech like google is prioritizing its corporate goals despite the growing ethical concerns around the misuse and bias in their AI systems. While Deep Mind over the years have failed to establish a robust ethics team leaving largely unaddressed systemic issues. Olsen in the book narrates how AI systems are trained on biased data that can reinforce the disparities thereby deepening the problems instead of solving the real-world issues they were initially meant to address. This book is a good read especially for those interested in management history as it offers a comprehensive historical context of technological transformations from the industrial revolution (Rahman, 2025).
As AI is getting closer to AGI it is raising fears about job displacement while Altman likes this transition to the industrial revolution others are warning of existential risks urging a pause in AI research. The AI industry split into two camps, those advocating for caution and those like Alman who supported minimal regulation to ensure progress funding for addressing future AI challenges. As of now, Olsen mentions in her books that big tech corporates are ignoring the ethical concerns and societal well-being that can have disastrous consequences (Qadir et al., 2022).
While the book provides as vivid history from the vantage point of two tec giants – a compelling narrative and an expert analysis by Olsen make it engaging read (Scranton and Fridenson, 2013). The concerns over the spread of misinformation, algorithmic bias and erosion of privacy are some of the major topics covered in the book (Cingillioglu and Barbieri, 2025). Finally, I would wrap up by saying that the book is a good read if you are interested in the conscience, humanity and future of technology.
