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Between January and September 2025, there have been 946,426 job cuts announced, with roughly 300,000 from the government sector, according to Challenger, Gray & Christmas. But some economists don’t buy that recent layoffs are caused by AI. Economic uncertainty, tariffs and less consumer spending might be hurting U.S. workers more than CEOs will admit.

I’ve tested over 500 AI tools, and most are a waste of time. But in this video, I’ll show you the ones that actually help grow your business. These are the exact tools I’m using across my companies to save time, boost productivity, and scale faster than the competition.

Here’s the link to all the tools:

Granola: https://www.granola.ai/

n8n: https://n8n.io/

Lovable: https://lovable.dev/

Atlas: https://go.danmartell.com/43FkG6X

Eleven labs: https://elevenlabs.io/

Hey Gen: https://www.heygen.com/

Chat GPT: https://chatgpt.com/

Precision: https://go.danmartell.com/47h4YkT

Fyxer.ai https://www.fyxer.com/

Gamma: https://gamma.app/

Buddy Pro: https://go.danmartell.com/4oe5S7F

Vapi: https://vapi.ai/

Fake AI books are flooding platforms like Amazon. But that’s not the only kind of AI writing that is affecting us. AI is now being used to write police reports and legal briefs.

China just dropped WoW — the world’s first self-evolving world model that teaches robots to think, move, and act with human-like intuition. The Beijing Humanoid Robot Innovation Center built it with Peking University and HKUST, giving machines the ability to “imagine,” “verify,” and “self-correct.” Meanwhile, startup Noetix Robotics launched Bumi — a $1,370 humanoid for homes and classrooms that walks, talks, and dances. And Unitree’s G1 just pulled a 3,100-pound car while balancing on its own two feet. From cheap humanoids to self-learning AI minds, China’s robotics scene just hit a new level.

The YouTube video “AI layoffs hit Big Tech: Here’s what to know” from CNBC Television explores whether the recent wave of job cuts in the tech industry is genuinely a result of AI adoption or if AI is being used as a cover story.

Here is a summary of the key points from the video:

• The Debate: The central question is whether the layoffs at companies like Amazon, Microsoft, Meta, and Salesforce—affecting tens of thousands of jobs—are truly being caused by AI, or if the technology is a “scapegoat” for other employment issues.
• The Counter-Narrative from CEOs: Several CEOs at Nvidia’s GTC conference pushed back on the idea that AI is the primary driver:
  • The CEO of Perplexity argued that the cuts are the result of “overhiring” during the COVID-era when company headcount became bloated. He asserted that “correlation doesn’t imply causation.”
  • The CoreWeave CEO suggested the cuts are part of a natural “rotation” that occurs during every technical revolution, highlighting the need for government assistance to help workers retrain and “repurpose.”
  • The CrowdStrike CEO offered an optimistic view, suggesting that AI will take over the “grunt work” and elevate human workers into “controllers” who operate alongside the technology.
• The Complicated Reality: The video notes the complexity of the situation, pointing out that many of these cuts are happening while the companies are reporting “almost record profits” and making massive investments in AI:
  • Amazon cut 14,000 jobs, citing AI.
  • Microsoft eliminated over 15,000 jobs this year while investing approximately $80 billion in AI.
  • Meta cut 600 from its AI unit, and Salesforce cut 4,000.
• Conclusion: The segment concludes by suggesting that companies are largely using AI as “cover to finally correct years of bloated headcount and hiring mistakes.” It also acknowledges that the immense pressure to create “remarkable amounts of productivity” to justify high valuations will inevitably lead to some degree of job displacement.

Superintelligent AI is getting closer than most people think, and the world is not ready. Smarter than human system could quietly reshape jobs, war, and truth before anyone notices. In this new video, you’ll find out why the race is accelerating, what signs to watch, and how it could change your life next.

Businesses are spending hundreds of billions of dollars on AI for the workplace. But getting employees to use the tools to their full potential is a huge task. How will companies make sure they see a return on investment?

Investors have grown more concerned over the run-up in tech stocks and valuations of private AI companies, stoking fears of a bubble. WSJ’s Hannah Erin Lang uses three charts to explain what’s behind Wall Street’s jitters.