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Code Red: The Left, the Right, China, and the Race to Control AI
You don’t get to opt out of the AI revolution. That decision has already been made for you. Breitbart social media director Wynton Hall asks what other decisions have been made.
Today, 99% of Americans use AI—even if most of us don’t realize it. Big Tech is quietly hard-coding left-wing ideology into the algorithms that now govern daily life. The Left is already weaponizing AI while conservatives sleepwalk straight into calamity, unless they're ready for what's coming.
In Code Red, Breitbart social media director Wynton Hall exposes where that power hides, how it operates, how conservatives can navigate the AI political battlescape, avert its landmines, and turn peril into promise. AI decides what you see and what gets censored. It’s quietly rewiring our whole way of life. Jobs. Schools. Family. Church. Even national security. All of it will shock-test our civic order.
Inside Code Red, you will
Why AI is wired for woke indoctrination—and how to resist it.How elites plan to weaponize AI job losses to push dependency.How America can beat China without becoming China.How to prepare your kids for the blinding speed of AI disruption.The new national security threats AI unleashes—and how we defend against them.Why “AI girlfriends” are luring millions—and what it will take to preserve authentic human connection.How AI will test faith and meaning—and why spiritual renewal may be its most surprising outcome.
Urgent, deeply researched, and written with page-turner elegance, Code Red is the conservative battle plan for the AI era. Either we wake up and fight back, or we lose everything that made America free.
Today, 99% of Americans use AI—even if most of us don’t realize it. Big Tech is quietly hard-coding left-wing ideology into the algorithms that now govern daily life. The Left is already weaponizing AI while conservatives sleepwalk straight into calamity, unless they're ready for what's coming.
In Code Red, Breitbart social media director Wynton Hall exposes where that power hides, how it operates, how conservatives can navigate the AI political battlescape, avert its landmines, and turn peril into promise. AI decides what you see and what gets censored. It’s quietly rewiring our whole way of life. Jobs. Schools. Family. Church. Even national security. All of it will shock-test our civic order.
Inside Code Red, you will
Why AI is wired for woke indoctrination—and how to resist it.How elites plan to weaponize AI job losses to push dependency.How America can beat China without becoming China.How to prepare your kids for the blinding speed of AI disruption.The new national security threats AI unleashes—and how we defend against them.Why “AI girlfriends” are luring millions—and what it will take to preserve authentic human connection.How AI will test faith and meaning—and why spiritual renewal may be its most surprising outcome.
Urgent, deeply researched, and written with page-turner elegance, Code Red is the conservative battle plan for the AI era. Either we wake up and fight back, or we lose everything that made America free.
320 pages, Kindle Edition
Published March 17, 2026
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Displaying 1 - 5 of 5 reviews
June 1, 2026
I heard Wynton Hall interviewed on a podcast and immediately knew I had to read this book. His writing pulled me in from the first pages and left me pleasantly surprised. I had feared an anti-AI screed that would push conservatives toward an Amish-style Luddite existence. Nothing could be further from the truth.
Hall delivers a sleek, accessible analysis that wakes readers to two urgent realities: artificial intelligence carries deep biases against conservatives, yet this does not leave us hopeless. It simply means those who want unbiased AI must roll up their sleeves and do the necessary work.
In the opening chapter, Hall forced me to confront an uncomfortable truth. Even xAI offers no true haven for conservative or neutral thought. He argues that Grok leans as far left as other major models. I want none of that. I long for an AI that remains as objective as possible—one capable of presenting both sides of an issue competently, without openly or subtly undermining one side. While perfect objectivity eludes humans, careful training should allow AI to deliver reasonably neutral information.
Hall proposes a smart, measured solution: regulations that demand greater transparency in LLM training data. Just as we require nutrition labels on food, we should require clear breakdowns of the materials used to train these models. This approach respects conservative reluctance to burden companies with heavy regulation while still addressing a genuine problem. As Hall notes:
“As conservatives, we are not inclined to saddle companies, even those that are almost universally hostile to our values, with unnecessary and burdensome regulations. Yet challenging Big Tech companies to increase transparency regarding training sources is both feasible and necessary. This would not require revealing trade secrets or proprietary systems; rather, it would simply mean providing a clear breakdown of the materials used to train LLMs. For an industry that prides itself on promoting “diversity,” demonstrating the intellectual and viewpoint diversity embedded in its products should be a priority.”
Later chapters expose Big Tech’s cozy relationship with the Chinese Communist Party, a pattern universities share. Left unchecked, this collusion risks research infiltration, technology exfiltration, and, in the worst cases, outright espionage.
Hall also examines AI’s disruptive power on employment, offering a balanced view that acknowledges both massive job losses and optimistic predictions that AI may ultimately create more work than it destroys. The chapter on AI and education particularly resonated with me. His solution—raise children with strong character who simply refuse to cheat—feels refreshingly grounded and human.
I found one chapter less compelling than the others: the discussion of AI girlfriends and boyfriends. While I share Hall’s concerns about AI-generated pornography and non-consensual image manipulation, my own brief visits to these platforms left me more amused by their uncanny valley ridiculousness than alarmed. (Robin Williams would have destroyed them in a single skit.) I do not dismiss the real tragedies Hall cites, such as the case of Megan Garcia or the young man who took his own life after interacting with ChatGPT. Yet I am much more afraid of an AI-enabled virus with a 95 percent kill rate. Threats like AI-enabled terrorism, biological weapons, and the crisis of meaning—where AI positions itself as God—deserve higher placement in our hierarchy of concerns.
Despite this small quibble, I loved *Code Red*. Hall’s writing style ultimately won me over. He sounds a clear note of urgency without descending into angst or hand-wringing. This is not a dense technical tome on prompt engineering, nor is it mired in political minutiae or recycled podcast talking points. Instead, Hall offers carefully crafted prose in a logical structure that anyone can follow. His message left me energized rather than despairing.
Too many people may avoid this book simply because of its subject. They’ve bought into the stereotype that AI equals inevitable societal carnage—a tool of the devil, in some asinine framing—or they fear it without understanding its potential benefits. Those who would benefit most from Hall’s clear-eyed approach could miss out if they let those false assumptions win. I would hope people catch his vision: yes, the bias is real and it won’t fix itself, but this is not some well-written Jeremiad insisting all is lost. The hard work lies ahead, yet it is neither futile nor impossible.
The book also explores AI’s intersections with faith and the transhumanist dream of uploading consciousness to achieve immortality. I retain far more affection for Ray Kurzweil’s clunky 1976 book scanner—which I encountered at Brigham Young University, where it opened doors I never thought possible by reading aloud books unavailable in Braille or on cassette—than for his later visions. Uploading my brain into some other container runs counter to everything that matters. I don’t need transhumanism. I need Jesus Christ’s promise of universal resurrection (John 5:28-29 KJV). In that light, these transhumanist ideas look like a clown’s dance under a circus tent of silliness. Hall’s concerns on this front strike me as both valid and prescient.
This book earned every one of its five stars. It reminds us that the future of AI remains unwritten—and that thoughtful, courageous people still have time to shape it.
Hall delivers a sleek, accessible analysis that wakes readers to two urgent realities: artificial intelligence carries deep biases against conservatives, yet this does not leave us hopeless. It simply means those who want unbiased AI must roll up their sleeves and do the necessary work.
In the opening chapter, Hall forced me to confront an uncomfortable truth. Even xAI offers no true haven for conservative or neutral thought. He argues that Grok leans as far left as other major models. I want none of that. I long for an AI that remains as objective as possible—one capable of presenting both sides of an issue competently, without openly or subtly undermining one side. While perfect objectivity eludes humans, careful training should allow AI to deliver reasonably neutral information.
Hall proposes a smart, measured solution: regulations that demand greater transparency in LLM training data. Just as we require nutrition labels on food, we should require clear breakdowns of the materials used to train these models. This approach respects conservative reluctance to burden companies with heavy regulation while still addressing a genuine problem. As Hall notes:
“As conservatives, we are not inclined to saddle companies, even those that are almost universally hostile to our values, with unnecessary and burdensome regulations. Yet challenging Big Tech companies to increase transparency regarding training sources is both feasible and necessary. This would not require revealing trade secrets or proprietary systems; rather, it would simply mean providing a clear breakdown of the materials used to train LLMs. For an industry that prides itself on promoting “diversity,” demonstrating the intellectual and viewpoint diversity embedded in its products should be a priority.”
Later chapters expose Big Tech’s cozy relationship with the Chinese Communist Party, a pattern universities share. Left unchecked, this collusion risks research infiltration, technology exfiltration, and, in the worst cases, outright espionage.
Hall also examines AI’s disruptive power on employment, offering a balanced view that acknowledges both massive job losses and optimistic predictions that AI may ultimately create more work than it destroys. The chapter on AI and education particularly resonated with me. His solution—raise children with strong character who simply refuse to cheat—feels refreshingly grounded and human.
I found one chapter less compelling than the others: the discussion of AI girlfriends and boyfriends. While I share Hall’s concerns about AI-generated pornography and non-consensual image manipulation, my own brief visits to these platforms left me more amused by their uncanny valley ridiculousness than alarmed. (Robin Williams would have destroyed them in a single skit.) I do not dismiss the real tragedies Hall cites, such as the case of Megan Garcia or the young man who took his own life after interacting with ChatGPT. Yet I am much more afraid of an AI-enabled virus with a 95 percent kill rate. Threats like AI-enabled terrorism, biological weapons, and the crisis of meaning—where AI positions itself as God—deserve higher placement in our hierarchy of concerns.
Despite this small quibble, I loved *Code Red*. Hall’s writing style ultimately won me over. He sounds a clear note of urgency without descending into angst or hand-wringing. This is not a dense technical tome on prompt engineering, nor is it mired in political minutiae or recycled podcast talking points. Instead, Hall offers carefully crafted prose in a logical structure that anyone can follow. His message left me energized rather than despairing.
Too many people may avoid this book simply because of its subject. They’ve bought into the stereotype that AI equals inevitable societal carnage—a tool of the devil, in some asinine framing—or they fear it without understanding its potential benefits. Those who would benefit most from Hall’s clear-eyed approach could miss out if they let those false assumptions win. I would hope people catch his vision: yes, the bias is real and it won’t fix itself, but this is not some well-written Jeremiad insisting all is lost. The hard work lies ahead, yet it is neither futile nor impossible.
The book also explores AI’s intersections with faith and the transhumanist dream of uploading consciousness to achieve immortality. I retain far more affection for Ray Kurzweil’s clunky 1976 book scanner—which I encountered at Brigham Young University, where it opened doors I never thought possible by reading aloud books unavailable in Braille or on cassette—than for his later visions. Uploading my brain into some other container runs counter to everything that matters. I don’t need transhumanism. I need Jesus Christ’s promise of universal resurrection (John 5:28-29 KJV). In that light, these transhumanist ideas look like a clown’s dance under a circus tent of silliness. Hall’s concerns on this front strike me as both valid and prescient.
This book earned every one of its five stars. It reminds us that the future of AI remains unwritten—and that thoughtful, courageous people still have time to shape it.
Read
May 29, 2026Code Red is a must-read for anyone wondering about the potential benefits and consequences of the post-AI world (which should be everybody). Wynton Hall writes about everything from mass job automation to AI-enhanced terrorism to give us an idea of what our future might genuinely look like. His aim isn't to scare you, but rather to urgently inform you of the inevitability of AI's effects.
I must clarify that Hall's intended audience is mostly conservative Americans (a group he shows is largely ignorant of AI's impending influence), but the book's core ideas apply to everyone. At the end of every chapter are some actionable steps he recommends for conservatives, but the bulk of each chapter is fairly neutral, well-researched information that everyone should be aware of.
I'm thoroughly impressed by the wide umbrella of topics Hall covers: popular ones such as global divide/competition over AI, its potential for political weaponization, a massive scale of job loss, and its impact on our health; and lesser-known, surprising ones such as AI's acceleration of welfare distribution, robotic companionship, rogue/rebellious AI, and a renewed push for transhumanism.
Everything is thoroughly researched (the notes section takes up about 1/4 of the book) and explained in pretty simple terms (a relief given AI's complexity). It's mostly informative but also persuasive.
I promise you will not walk away from this book the same, but that is a good thing. The worst thing that you can do (regardless of your politics or values) is to ignore this incredible technology that will impact literally every aspect of our world, beneficially AND harmfully.
I must clarify that Hall's intended audience is mostly conservative Americans (a group he shows is largely ignorant of AI's impending influence), but the book's core ideas apply to everyone. At the end of every chapter are some actionable steps he recommends for conservatives, but the bulk of each chapter is fairly neutral, well-researched information that everyone should be aware of.
I'm thoroughly impressed by the wide umbrella of topics Hall covers: popular ones such as global divide/competition over AI, its potential for political weaponization, a massive scale of job loss, and its impact on our health; and lesser-known, surprising ones such as AI's acceleration of welfare distribution, robotic companionship, rogue/rebellious AI, and a renewed push for transhumanism.
Everything is thoroughly researched (the notes section takes up about 1/4 of the book) and explained in pretty simple terms (a relief given AI's complexity). It's mostly informative but also persuasive.
I promise you will not walk away from this book the same, but that is a good thing. The worst thing that you can do (regardless of your politics or values) is to ignore this incredible technology that will impact literally every aspect of our world, beneficially AND harmfully.
April 14, 2026
Code Red is an absolute “must read” for everyone and anyone. AI is here and is developing (and impacting our lives) at light speed. Wynton Hall has done a masterful job of addressing its current and future benefits and risks. Read this and you’ll begin to consider how this will impact your own life and what you can do to use it for the benefits it can offer while at the same time being aware of some of the enormous risks has. The awareness you’ll gain will enable you to avoid the fear mongering and put this tool to use in your life for your and others benefits. I particularly appreciated his analysis and explanations of the differences between how progressives and conservatives think and how those beliefs get imbedded in the large language models. Don’t believe everything AI tells you, just like we’ve learned not to believe everything we read on Google!
April 20, 2026
This book importantly and properly sounds the alarm on the dangers of China and its AI infiltration. This book is trying to make sure that America realizes that the AI competition is as deadly as the race to Nukes during WW II. Perhaps it will help.
April 22, 2026
Very one sided, a propaganda tome. Meh
Displaying 1 - 5 of 5 reviews