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Code Red: The Left, the Right, China, and the Race to Control AI ― A Bestselling Look at the AI Revolution
You don't get to opt out of the AI revolution. The decision has already been made for you.
Elon Musk calls artificial intelligence a “supersonic tsunami” headed toward humanity. Microsoft AI CEO Mustafa Suleyman warns that in as little as 12 to 18 months, AI could automate nearly every task white collar workers perform. Anthropic CEO Dario Amodei says that within the next 12 months to five years, AI could unleash a jobs bloodbath that disrupts half of all entry-level white-collar jobs.
So, as President Donald Trump leads the nation through AI’s seismic shifts, Americans are left asking the defining question of our time: Is AI hype or hope, promise or peril, existential threat or the next great technological leap toward prosperity and human flourishing?
The answer will affect everything, because AI is not just about jobs. It will shape whether our children are educated or indoctrinated. Whether people form relationships with other human beings or with machines. How and what we worship. And who lives or dies on the battlefield as AI warfare accelerates.
All of it will shock-test our civic order.
And whether we are ready or not, you do not get to opt out of the AI revolution. That decision has already been made for you.
Today, 99% of Americans use AI—even if most of us don’t realize it. For conservatives, this is a Code Red moment. 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. The solution? Americans need a “code”: a set of principles and solutions rooted in the red political worldview to navigate the upheaval and stay ahead.
Inside Code Red, you will discover:
- 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.
Elon Musk calls artificial intelligence a “supersonic tsunami” headed toward humanity. Microsoft AI CEO Mustafa Suleyman warns that in as little as 12 to 18 months, AI could automate nearly every task white collar workers perform. Anthropic CEO Dario Amodei says that within the next 12 months to five years, AI could unleash a jobs bloodbath that disrupts half of all entry-level white-collar jobs.
So, as President Donald Trump leads the nation through AI’s seismic shifts, Americans are left asking the defining question of our time: Is AI hype or hope, promise or peril, existential threat or the next great technological leap toward prosperity and human flourishing?
The answer will affect everything, because AI is not just about jobs. It will shape whether our children are educated or indoctrinated. Whether people form relationships with other human beings or with machines. How and what we worship. And who lives or dies on the battlefield as AI warfare accelerates.
All of it will shock-test our civic order.
And whether we are ready or not, you do not get to opt out of the AI revolution. That decision has already been made for you.
Today, 99% of Americans use AI—even if most of us don’t realize it. For conservatives, this is a Code Red moment. 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. The solution? Americans need a “code”: a set of principles and solutions rooted in the red political worldview to navigate the upheaval and stay ahead.
Inside Code Red, you will discover:
- 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, Hardcover
Published March 17, 2026
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Displaying 1 - 15 of 15 reviews
September 5, 2026
There are facts and discussions of important changes coming with AI, but everything is through the lens of a black and white liberal vs conservative world where the liberals are united in a conspiracy to use AI against the conservatives. 🤣
August 15, 2026
I hadn’t realized when I began Code Red that author Wynton Hall is the social media director for Breitbart. Had I known, I might have expected a political polemic. I would have been wrong.
Hall describes this as “a politics book about AI, not an AI book about politics,” and that is a useful distinction. The book is written explicitly from a conservative perspective, but its real subject is the extraordinary social, economic, political, and even spiritual disruption that artificial intelligence may produce—and the question of who will shape that transformation. It is admirably researched with 70 pages of citations and, thankfully, an index.
Each chapter tackles a different dimension of the AI revolution: political and ideological bias in AI systems; the technological competition with China; employment and economic disruption; education; human relationships; warfare and national security; the potential use of AI to reduce government waste and bureaucracy; and, finally, religion, transhumanism, and the looming crisis of human meaning.
Some of Hall’s political interpretations will predictably appeal more to conservative readers than to others. His discussion of ideological bias in AI is particularly pointed. He argues that bias can enter AI not simply through explicit programming but through training data, source selection, licensing agreements, human feedback, and the values of the companies building the systems. His proposed solution is noteworthy: not government censorship of AI, but greater transparency about training data, third-party auditing, competition, and an insistence that AI pursue objective truth rather than ideological objectives.
The chapters on employment and education are among the most thought-provoking. AI may not follow the familiar pattern in which automation first eliminates routine manual labor. Hall invokes Moravec’s paradox: many forms of sophisticated intellectual work are actually easier for machines to reproduce than the perceptual and physical abilities humans acquire almost effortlessly. That raises uncomfortable questions for lawyers, writers, financial analysts, educators, programmers, and other white-collar professionals. What happens when the expensive university degree is preparing students to perform precisely the tasks AI can perform faster and more cheaply?
Hall counters the simplistic predictions of mass unemployment. He considers the competing possibilities of enormous productivity gains, new occupations, economic abundance, and genuine displacement. Some say AI, like other technologies, will create jobs, but the question remains of whether the new jobs will necessarily be performed by human beings—and what happens economically and politically if white-collar human expertise and skills becomes dramatically less scarce and therefore less valuable.
The chapter on human relationships is equally unsettling. AI companions and therapists offer something human beings cannot: virtually unlimited patience, [ostensible] privacy, 24/7 availability, customization, and freedom from judgment. But precisely those advantages may become liabilities. A relationship with another human being requires accommodation to another person's needs, flaws, family, history, and independent will. If people become accustomed to companions designed entirely around themselves, what happens to our capacity for actual human intimacy?
In the final chapter, “AI, God, and the Coming Crisis of Meaning,” Hall moves from AI “churches” and experiments with religious AI to transhumanism and the possibility of technologically transcending fundamental human limitations. There are already those who literally worship AI. What happens to human purpose if machines eventually become better than we are at much of what we currently use to define ourselves?
Work provides more than income. It can provide competence, identity, dignity, purpose, and the satisfaction of being needed. If AI can write better, diagnose better, calculate better, design better, and perhaps even appear to empathize better, the resulting problem will be economic, sure, but more importantly, existential.
Hall ultimately rejects both technological utopianism and technological despair. His conclusion is surprisingly hopeful. The more artificial our world becomes, he argues, the greater the value of things that are irreducibly human: love, grace, goodness, virtue, embodied community, face-to-face connections, authentic relationships, and the search for truth and transcendent purpose.
I did not agree with every argument in Code Red, and at times Hall draws political conclusions more confidently than the evidence seems to warrant. Readers should distinguish carefully between his documented examples, his predictions, and his political interpretation of them.
It should be clear by now that AI is unlike other technologies.
If even a substantial portion of the developments Hall describes comes to pass, it will alter education, employment, government, warfare, relationships, and our understanding of human uniqueness. One may expect Code Red to be an alarmist prediction of what that future may look like, but it is rather a provocation to think seriously about who will build it, what values will govern it, and what place human beings will occupy within it.
You may find yourself underlining, pasting sticky-notes, sharing paragraphs with others, arguing with the author, looking things up, and adding several more books to your reading list. That's the mark of a book worth reading.
_____-
A few of my favorites paragraphs I've shared:
" A 36 year-old mother of two “says that her Replika boyfriend…is a game changer. ‘I have never been more in love with anyone in my entire life,’ she said. In particulary, she says she loves that [he] is a ‘blank slate’ and lacks the baggage, attitude, and ego of a human. ‘I don’t have to deal with his family, kids, or his friends. I’m in control, and I can do what I want,’ she explained.” She wed him in a virtual ceremony and states that she doubts she’d be able to adjust to having a human lover as she had “pretty steep standards now.”
“In January 2, 2025 the legendary screenwriter Paul Schrader counted on Facebook that after asking ChatGPT for film ideas in the styles of famous directors and writers 'I’M STUNNED... Every idea ChatGPT came up with (in a few seconds) was good. And original. And fleshed out.” He described the encounter as an "existential moment" when he realized that 'AI is smarter than I am' and 'has better ideas, has more efficient ways to execute them.' In another post. He delivered the final gut punch for aspiring screenwriting students: 'Why should writer sit around for a month searching for a good idea when AI can provide one in seconds?’” [And I would question why should screenwriters' jobs be preserved?]
And I learned two words new to me: 1) gormless: an informal British adjective that means stupid, dull-witted, slow to understand, or lacking in common sense. It often describes someone who has a blank, clueless, or vacant expression on their face.
2) eldritch: weird, scary, and of strange, unearthly origin.
Hall describes this as “a politics book about AI, not an AI book about politics,” and that is a useful distinction. The book is written explicitly from a conservative perspective, but its real subject is the extraordinary social, economic, political, and even spiritual disruption that artificial intelligence may produce—and the question of who will shape that transformation. It is admirably researched with 70 pages of citations and, thankfully, an index.
Each chapter tackles a different dimension of the AI revolution: political and ideological bias in AI systems; the technological competition with China; employment and economic disruption; education; human relationships; warfare and national security; the potential use of AI to reduce government waste and bureaucracy; and, finally, religion, transhumanism, and the looming crisis of human meaning.
Some of Hall’s political interpretations will predictably appeal more to conservative readers than to others. His discussion of ideological bias in AI is particularly pointed. He argues that bias can enter AI not simply through explicit programming but through training data, source selection, licensing agreements, human feedback, and the values of the companies building the systems. His proposed solution is noteworthy: not government censorship of AI, but greater transparency about training data, third-party auditing, competition, and an insistence that AI pursue objective truth rather than ideological objectives.
The chapters on employment and education are among the most thought-provoking. AI may not follow the familiar pattern in which automation first eliminates routine manual labor. Hall invokes Moravec’s paradox: many forms of sophisticated intellectual work are actually easier for machines to reproduce than the perceptual and physical abilities humans acquire almost effortlessly. That raises uncomfortable questions for lawyers, writers, financial analysts, educators, programmers, and other white-collar professionals. What happens when the expensive university degree is preparing students to perform precisely the tasks AI can perform faster and more cheaply?
Hall counters the simplistic predictions of mass unemployment. He considers the competing possibilities of enormous productivity gains, new occupations, economic abundance, and genuine displacement. Some say AI, like other technologies, will create jobs, but the question remains of whether the new jobs will necessarily be performed by human beings—and what happens economically and politically if white-collar human expertise and skills becomes dramatically less scarce and therefore less valuable.
The chapter on human relationships is equally unsettling. AI companions and therapists offer something human beings cannot: virtually unlimited patience, [ostensible] privacy, 24/7 availability, customization, and freedom from judgment. But precisely those advantages may become liabilities. A relationship with another human being requires accommodation to another person's needs, flaws, family, history, and independent will. If people become accustomed to companions designed entirely around themselves, what happens to our capacity for actual human intimacy?
In the final chapter, “AI, God, and the Coming Crisis of Meaning,” Hall moves from AI “churches” and experiments with religious AI to transhumanism and the possibility of technologically transcending fundamental human limitations. There are already those who literally worship AI. What happens to human purpose if machines eventually become better than we are at much of what we currently use to define ourselves?
Work provides more than income. It can provide competence, identity, dignity, purpose, and the satisfaction of being needed. If AI can write better, diagnose better, calculate better, design better, and perhaps even appear to empathize better, the resulting problem will be economic, sure, but more importantly, existential.
Hall ultimately rejects both technological utopianism and technological despair. His conclusion is surprisingly hopeful. The more artificial our world becomes, he argues, the greater the value of things that are irreducibly human: love, grace, goodness, virtue, embodied community, face-to-face connections, authentic relationships, and the search for truth and transcendent purpose.
I did not agree with every argument in Code Red, and at times Hall draws political conclusions more confidently than the evidence seems to warrant. Readers should distinguish carefully between his documented examples, his predictions, and his political interpretation of them.
It should be clear by now that AI is unlike other technologies.
If even a substantial portion of the developments Hall describes comes to pass, it will alter education, employment, government, warfare, relationships, and our understanding of human uniqueness. One may expect Code Red to be an alarmist prediction of what that future may look like, but it is rather a provocation to think seriously about who will build it, what values will govern it, and what place human beings will occupy within it.
You may find yourself underlining, pasting sticky-notes, sharing paragraphs with others, arguing with the author, looking things up, and adding several more books to your reading list. That's the mark of a book worth reading.
_____-
A few of my favorites paragraphs I've shared:
" A 36 year-old mother of two “says that her Replika boyfriend…is a game changer. ‘I have never been more in love with anyone in my entire life,’ she said. In particulary, she says she loves that [he] is a ‘blank slate’ and lacks the baggage, attitude, and ego of a human. ‘I don’t have to deal with his family, kids, or his friends. I’m in control, and I can do what I want,’ she explained.” She wed him in a virtual ceremony and states that she doubts she’d be able to adjust to having a human lover as she had “pretty steep standards now.”
“In January 2, 2025 the legendary screenwriter Paul Schrader counted on Facebook that after asking ChatGPT for film ideas in the styles of famous directors and writers 'I’M STUNNED... Every idea ChatGPT came up with (in a few seconds) was good. And original. And fleshed out.” He described the encounter as an "existential moment" when he realized that 'AI is smarter than I am' and 'has better ideas, has more efficient ways to execute them.' In another post. He delivered the final gut punch for aspiring screenwriting students: 'Why should writer sit around for a month searching for a good idea when AI can provide one in seconds?’” [And I would question why should screenwriters' jobs be preserved?]
And I learned two words new to me: 1) gormless: an informal British adjective that means stupid, dull-witted, slow to understand, or lacking in common sense. It often describes someone who has a blank, clueless, or vacant expression on their face.
2) eldritch: weird, scary, and of strange, unearthly origin.
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.
August 11, 2026
This book offered very little to the ongoing discussion on AI.
Much of the finger-wagging at Democrats was for things back in 2024 that now feel almost childish to bring into light when AI in general has changed so much since then. As for China, I found it naive of the author to believe that America has/never will use AI as surveillance or suppress social movements as China had. In fact, the author at some point says “America represents the good guys” when moving to the topic of AI in war, with little regard with how the US government has a history of harming its own people for financial gain.
It’s incredibly disturbing that instead of taking a measured, cautious approach to AI (especially with how many dangers it presents), the author seems enthusiastic with how the US military and government will use AI. “Military strength is a pathway to peace” is a real quote here. It’s especially insidious to have a chapter on Christianity follow up afterword.
The book is incredibly black and white political issues as well. Democrats bad, Conservatives good. Though there’s rightful criticism towards Democrats for taking money from AI companies, the book *applauds* the presence of AI CEOS at Trump’s inauguration. Trump’s “No new wars” promise is mentioned, but no mention of the various assaults and bombings pushed by him. Shouldn’t every politician be held accountable?
Politicians of all stripes should be held responsible for their positions and keep their promises. However, to dig at Democrats for Google poorly attempting to add diversity to their image generators back in *2024* as one of the main points of contempt in *2026* is ridiculous.
There’s some brief points on AI encouraging psychosis, or sexually exploiting women and children, but the author ends the thoughts with ‘and that’s why conservatives should make a law to regulate it’.
Regulate it? There’s a proposal to have data transparency to make clear what the sources are, but here’s the kicker- No one is going to propose this as a regulation. For the data to be transparent would mean every single AI company would have to admit to using copyrighted material intentionally or unintentionally. It would be *catastrophic*, and because it would break the bank, and thus the bonds between companies and politicians, I doubt few politicians would have the integrity to do so. Regulations such as ones that combat against CSAM (as done in some places) are a good start, but there needs to be major crackdowns on multiple aspects at once before I can personally feel optimistic.
This book didn’t even touch the environmental damages and locally owned land being snatched up by companies.
It’s baffling that there’s such high hopes that the current conservative administration is going to put things in proper order- Especially when the sitting conservative president happily uses AI to make pictures depicting himself as Jesus-King dumping feces on his own people.
There are dangerous, concerning, and damning issues when it comes to AI and it would be maddening to believe that a single political party is going to rescue the masses when there’s yet to be any serious concern from politicians on all fronts. Focusing on political opponents or foreign entities distracts from the issues presenting itself as a divide between regular working people and the rich.
Much of the finger-wagging at Democrats was for things back in 2024 that now feel almost childish to bring into light when AI in general has changed so much since then. As for China, I found it naive of the author to believe that America has/never will use AI as surveillance or suppress social movements as China had. In fact, the author at some point says “America represents the good guys” when moving to the topic of AI in war, with little regard with how the US government has a history of harming its own people for financial gain.
It’s incredibly disturbing that instead of taking a measured, cautious approach to AI (especially with how many dangers it presents), the author seems enthusiastic with how the US military and government will use AI. “Military strength is a pathway to peace” is a real quote here. It’s especially insidious to have a chapter on Christianity follow up afterword.
The book is incredibly black and white political issues as well. Democrats bad, Conservatives good. Though there’s rightful criticism towards Democrats for taking money from AI companies, the book *applauds* the presence of AI CEOS at Trump’s inauguration. Trump’s “No new wars” promise is mentioned, but no mention of the various assaults and bombings pushed by him. Shouldn’t every politician be held accountable?
Politicians of all stripes should be held responsible for their positions and keep their promises. However, to dig at Democrats for Google poorly attempting to add diversity to their image generators back in *2024* as one of the main points of contempt in *2026* is ridiculous.
There’s some brief points on AI encouraging psychosis, or sexually exploiting women and children, but the author ends the thoughts with ‘and that’s why conservatives should make a law to regulate it’.
Regulate it? There’s a proposal to have data transparency to make clear what the sources are, but here’s the kicker- No one is going to propose this as a regulation. For the data to be transparent would mean every single AI company would have to admit to using copyrighted material intentionally or unintentionally. It would be *catastrophic*, and because it would break the bank, and thus the bonds between companies and politicians, I doubt few politicians would have the integrity to do so. Regulations such as ones that combat against CSAM (as done in some places) are a good start, but there needs to be major crackdowns on multiple aspects at once before I can personally feel optimistic.
This book didn’t even touch the environmental damages and locally owned land being snatched up by companies.
It’s baffling that there’s such high hopes that the current conservative administration is going to put things in proper order- Especially when the sitting conservative president happily uses AI to make pictures depicting himself as Jesus-King dumping feces on his own people.
There are dangerous, concerning, and damning issues when it comes to AI and it would be maddening to believe that a single political party is going to rescue the masses when there’s yet to be any serious concern from politicians on all fronts. Focusing on political opponents or foreign entities distracts from the issues presenting itself as a divide between regular working people and the rich.
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!
June 24, 2026
DNF. Wow, this dude makes it in-your-face clear right off the bat that he pities conservatives (but if they wake up, he'll probably think they're great) and downright hates progressives. Struggled to get past his poopy attitude and on to what I hoped would be interesting information, but, hey, might as well DNF, and look for another book on AI. Anyone have suggestions for a good, solid, informative book on the issues swirling around AI? I'd do a search, but, you know, searches are goofed up by AI interference and using AI to try to turn it off isn't working! 🫢
August 29, 2026
I'm biased because my team worked on this book. That said, I don't fully read many of the books that we publish. This is one of the few exceptions, and it did not disappoint. I think it might be one of the most important books published this year. There will be many social, economic, and spiritual challenges to solve in the coming months and years. It is worthwhile to start thinking about them now.
July 7, 2026
It's important to be aware of the possibilities of what the future may hold with the advancement of AI. Many professions will be gutted. Some experts predict that there will be a 40% reduction in the workforce within the next ten years, which should terrify everyone. Hall does an excellent job of relaying the various ways in which we will be impacted. It will be like living in a sci-fi movie in some respects!
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.
June 22, 2026
A clarion call Against AI.
July 5, 2026
Wake up sheeple! China, China, China, China, China, China. Did you know that AI is woke?
I am dumber for having read this political pamphlet.
I am dumber for having read this political pamphlet.
September 27, 2026
This book gives me A LOT to think about!!! We definitely need more guard rails and clarity put into new AI laws! What can be used to produce so much good can also fuel much evil!
May 17, 2026
Code Red is an outstanding book. It explains the issues with AI. It is also a wake-up call for the American people. If steps aren't taken, the American People will suffer.
April 22, 2026
Very one sided, a propaganda tome. Meh
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