The landscape of artificial intelligence is currently marked by intense regulatory debates, rapid product innovation, and evolving market dynamics. President Trump's administration recently paused an executive order aimed at preventing states from enacting their own AI laws, an order that would have threatened states with lawsuits and potentially withheld federal broadband funding. This move aligns with Trump's preference for a single federal AI standard, a sentiment echoed by tech groups like TechNet and a super PAC called "Leading the Future," which is funded by figures such as OpenAI President Greg Brockman and has launched a $10 million campaign for a uniform national AI policy. However, this federal preemption faces significant opposition. Over 200 state lawmakers are urging Congress not to include such a rule in the defense bill, arguing it would stifle local discussions and eliminate existing consumer and patient protections. New York's RAISE Act, for instance, which mandates safety rules for large AI companies and carries fines up to $30 million for non-compliance, has passed its state legislature and awaits the governor's signature. This ongoing tension highlights a fundamental disagreement over whether AI regulation should be centralized or allow for state-level innovation. In the competitive AI product arena, Alphabet's new Gemini 3 chatbot is making waves, challenging OpenAI's ChatGPT with advanced features like a "Deep Think" mode for complex problem-solving and agent capabilities for multi-step tasks. While ChatGPT currently boasts more weekly users, Gemini has already garnered 650 million monthly users, and Google Search's AI Overview reaches over 2 billion monthly users. Alphabet is strategically integrating Gemini 3 across its ecosystem, contributing to significant growth in Google Cloud revenue and advertising sales. Microsoft also plays a crucial role, with its Copilot offering deep brand control for tools like PowerPoint, and the company, along with Google, drives 90% of cloud spending. AI adoption continues to grow, with 43% of people, or about 149 million, now using generative AI. However, this adoption shows a clear disparity: high-income Americans are rapidly embracing tools like Google's Gemini and OpenAI's ChatGPT, while lower-earning households show less engagement. This gap raises concerns about exacerbating existing inequalities. Meanwhile, the AI market, while experiencing some volatility, differs significantly from the 2000 dot-com bust, according to Evercore analysts. They point to strong foundational companies like Microsoft and Google, real demand from AI inference workloads, more cautious investor sentiment, and lower stock valuations today. Concerns about AI safety and ethics remain prominent. Anthropic CEO Dario Amodei, who co-founded the company after leaving OpenAI due to safety concerns, stresses the importance of transparency regarding AI risks to avoid severe legal and reputational damage. The year 2025 also saw active generative AI lawsuits, including class actions and a split ruling on "fair use" for copyrighted training data. A U.S. Bankruptcy Court even sanctioned a lawyer for using AI to generate fake legal citations, setting a precedent for responsible AI use in legal contexts. Beyond these core debates, AI is also transforming other sectors, with tools like Skywork AI offering research-backed slides for presentations and seasoned traders like Tom Sosnoff foreseeing AI's extensive benefits in managing risks and speeding up learning in trading.
Key Takeaways
- President Trump's administration paused an executive order to block state AI laws, favoring a single federal standard.
- Over 200 state lawmakers oppose federal preemption of AI laws, citing the need for local protections.
- New York's RAISE Act, which mandates AI safety rules and carries fines up to $30 million, passed its state legislature.
- The AI industry super PAC "Leading the Future," funded by OpenAI President Greg Brockman, launched a $10 million campaign for a national AI policy.
- Alphabet's Gemini 3 chatbot, with features like "Deep Think" mode, competes with OpenAI's ChatGPT; Gemini has 650 million monthly users.
- 43% of people (149 million) use generative AI, but adoption is higher among high-income Americans, potentially widening inequalities.
- The current AI market differs from the 2000 dot-com bust, with strong companies like Microsoft and Google driving cloud spending and more cautious investor sentiment.
- Anthropic CEO Dario Amodei emphasizes transparency and proactive discussion of AI safety risks to prevent industry-wide consequences.
- 2025 saw active generative AI lawsuits, including a lawyer sanctioned for using AI to create fake legal citations.
- AI is enhancing various fields, from presentation tools like Skywork AI to trading, where Tom Sosnoff sees 35 ways AI can improve risk management and learning.
Trump Pauses Plan to Stop State AI Rules
President Trump's White House has paused an executive order that would have stopped states from making their own AI laws. This order planned to use lawsuits and hold back federal money to challenge state rules. Trump had previously asked for a single federal AI standard instead of many state laws. Tech groups like TechNet also work against state AI rules. Meanwhile, new research shows that 43% of people, about 149 million, now use generative AI, but adoption varies by age and job.
State Lawmakers Oppose Federal AI Preemption Plan
More than 200 state lawmakers are asking Congress not to include a rule in the defense bill that would stop states from making their own AI laws. They say this rule would halt important local discussions and cancel current state protections for consumers and patients. House Republican leaders are trying to add this rule to the National Defense Authorization Act. President Trump supports blocking state AI laws, and a draft order would create a task force to fight these laws. However, some Republicans and governors oppose this federal move.
Trump Drafts Order to Block State AI Rules
The White House drafted an Executive Order to stop states from creating their own AI regulations. This order, which President Trump is preparing to sign, would threaten states with lawsuits and could withhold federal broadband money. It directs the Department of Justice to form an "AI Litigation Task Force" to challenge state laws. The order also asks the Commerce Department to identify "burdensome" state AI rules and link federal funding to compliance. This move aims to create a single federal AI standard, but it faces legal and political challenges.
Trump Expected to Sign AI Executive Order Today
President Trump is expected to sign an executive order on AI today, November 24, 2025. This order may direct the Commerce Department to set rules for states to get federal broadband funding and create a Justice Department task force to challenge state AI laws. The draft order specifically targeted California's SB 53 and Colorado's SB 24-205, which regulate AI risks and discrimination. Many, including some lawmakers and civil liberties groups, have criticized such a move, arguing it would stop states from protecting consumers. Four states already have laws to ensure AI transparency and limit data collection.
How Federal AI Rules Should Block State Laws
Congressional Republicans recently tried to add a rule to the defense bill that would stop states from making their own AI laws. A similar attempt to pause state AI regulations for 10 years failed in the Senate earlier this year. Many in the tech industry and some lawmakers still want federal AI rules to override state ones. The author suggests that any future federal ban on state AI laws will likely need to come with a clear federal AI policy. He believes that dividing AI regulation between states and the federal government should happen slowly over time, with federal laws only stopping very specific state rules.
Top Decktopus Alternatives for AI Presentations
This article reviews 11 tools that offer better templates, smarter AI, and easier design than Decktopus for creating presentations. The tools were judged on their AI features, design quality, price, teamwork options, and how well they export files. Some top alternatives include Beautiful.ai for smart layouts and brand control, Canva for its large template library, and Gamma for quickly turning prompts into decks. Other options like Pitch, Tome, and Visme offer different strengths, from team workflows to data visualization. Skywork AI is also noted for its research-backed slides with citations.
Best Decktopus Alternatives for Teamwork Online
This guide looks at the best alternatives to Decktopus for teams needing better online collaboration, brand control, and cleaner exports. Tools were judged on how well teams can work together, AI features, export quality, brand rules, pricing, and security. Skywork AI is highlighted for its research-backed slides that can be edited in Google Slides or PowerPoint. Other strong options include Google Slides with Gemini for coauthoring, PowerPoint with Copilot for deep brand control, and Canva for easy real-time editing and a large template library. Pitch and Beautiful.ai also offer robust collaboration and brand governance features.
New York AI Bill Faces Opposition from Trump and Tech
New York's RAISE Act, a state-level AI bill, is facing strong opposition from President Trump and major tech industry leaders. This bill, co-sponsored by Assembly member Alex Bores, aims to make large AI companies publish safety rules and prevent "critical harm" from their models. A super PAC called "Leading the Future," funded by tech giants like OpenAI President Greg Brockman, is spending millions to fight against lawmakers who support such state regulations. Bores argues the bill is crucial for managing AI risks, similar to how the tobacco industry was held accountable for health dangers. The RAISE Act would fine companies up to $30 million for not following safety protocols.
AI Super PAC Spends $10 Million for National Policy
The AI industry super PAC "Leading the Future" launched a $10 million campaign to urge Congress to create a single national AI policy. This group, which started with over $100 million in funding, believes there is strong public demand for a uniform approach to AI. The campaign will use TV, digital ads, and phone calls to lawmakers. President Trump's White House and federal lawmakers are also working to block states from passing their own AI laws, possibly by adding language to upcoming spending bills. New York's RAISE Act, which sets safety rules for AI companies, has passed its state legislature and awaits the governor's signature.
Richer Americans Embrace AI More Than Others
High-income Americans are quickly adopting artificial intelligence tools, while lower-earning households are not. A report from Morning Consult shows that Google's Gemini and OpenAI's ChatGPT were the fastest-growing brands this year among people earning over $100,000 annually. In contrast, those with lower incomes prefer established, value-focused products and services. This growing difference in AI use could make existing inequalities worse, as early adopters may gain more from new AI advancements. Marketers and policymakers need to consider this gap to ensure fair access to technology.
AI Market Differs from 2000 Dot Com Bust
Recent market volatility has sparked debate about a possible AI bubble, similar to the 2000 dot-com bust. However, Evercore analysts point out four key differences today. First, financially strong companies like Microsoft and Google are driving 90% of cloud spending. Second, real demand from AI inference workloads is fueling investment, unlike the overbuilding seen in 1999. Third, investor sentiment is more cautious now, questioning a bubble, compared to the widespread euphoria back then. Finally, current AI stock valuations are much lower than the extreme levels seen in 2000.
Anthropic CEO Warns AI Firms Must Prioritize Safety
Anthropic CEO Dario Amodei warns that AI companies must openly discuss safety risks or face consequences like the cigarette and opioid industries. He and co-founder Daniella Amodei left OpenAI due to AI safety concerns and aim to create "guardrails" for AI development. Dario stresses that transparency is crucial, as hiding dangers could lead to severe legal and reputational damage. While some critics call their approach "safety theater," the Amodeis believe addressing risks proactively is essential for the industry's credibility. Governments in the US and EU are now actively developing AI regulation frameworks.
AI Lawsuits See Big Decisions and Trends in 2025
The year 2025 was very active for lawsuits involving generative AI. Several new class actions were filed, and important decisions were made, including a split ruling on whether using copyrighted materials to train AI models counts as "fair use." A large settlement was also reached in one of these cases. In a notable event, the U.S. Bankruptcy Court in Illinois punished a lawyer and their firm for using AI to create fake legal citations in a court document. This decision sets a clear example for how lawyers can and cannot use AI in their work.
Oracle Becomes Key Indicator for AI Market Risk
Oracle is now a major sign for investors to measure risks in the AI market. Its credit default swap levels have tripled, showing worries about how much money companies are spending and borrowing for AI infrastructure. Investors are closely watching the debt levels of big cloud and AI companies, as their data center investments are growing faster than their earnings. Many investors are now reducing their AI-related holdings to manage risk, rather than because of a weak economy. This shift is mainly due to rebalancing portfolios after a period of strong gains.
Tom Sosnoff Discusses Retail Trading and AI
Tom Sosnoff, a seasoned trader and tech leader, shared his thoughts on retail trading and the future of AI. He founded thinkorswim and tastytrade, making derivatives trading easier for everyday investors, and recently announced his new project, Lossdog. Sosnoff believes that AI will greatly improve trading, listing 35 ways it can help, such as managing risks and speeding up learning for traders. He sees few downsides and thinks AI will make more people comfortable with trading, even if it does not predict market movements. Sosnoff is very positive about AI's role in both individual and institutional trading.
Alphabet's Gemini 3 Challenges ChatGPT
Alphabet's new Gemini 3 chatbot is a strong competitor to OpenAI's ChatGPT, offering advanced features and outperforming other AI models. Gemini 3 includes a "Deep Think" mode for complex problem-solving and can act as an agent to complete multi-step tasks. While ChatGPT has more weekly users, Alphabet's overall AI strategy is proving successful, with Gemini having 650 million monthly users and AI Overview in Google Search reaching over 2 billion monthly users. The company's Google Cloud revenue grew significantly, and its advertising sales also increased. Alphabet is integrating Gemini 3 into its products to keep users within its ecosystem, and its stock is considered a good value.
Sources
- President Trump Halts Push to Block State-Level AI Regulations
- State lawmakers press Congress on plan to preempt AI laws
- Draft Executive Order Seeks to Short-Circuit AI State Regulation
- President Trump to Sign Executive Order on AI at 4 p.m.
- AI Federalism: The Right Way to Do Preemption
- Decktopus alternatives with better templates, AI design tools, and automation
- Top Decktopus alternatives for online collaboration
- Here's what's in the RAISE Act, a state-level AI bill opposed by Trump and industry leaders
- AI super PAC launches $10 million campaign pushing 'uniform' national policy
- AI Fever Hits High-Income Consumers — But Not The Rest Of America
- AI bubble? Four Differences Today vs. 2000 By Investing.com
- “If AI Companies Don’t Talk About Safety, They Could End Up Like Cigarette Companies: Anthropic CEO Dario Amodei
- Gen AI Class Action Key Decisions and Trends in 2025| Law.com
- Oracle emerges as key gauge for AI-related market risk
- Q&A: Tom Sosnoff on Retail Trading, AI and Why He Can’t Stop Building
- Can Alphabet's Gemini 3 Overtake ChatGPT?
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