OG Approved - No BS Tech News # 104

šŸš€ Welcome to the Real AI Conversation

šŸš€ Welcome to the Real AI Conversation

If you're here, you're not looking for fluff—you’re looking for clarity, strategy, and truth about what AI is doing to the world of business, leadership, and human progress.

This is not just another newsletter.

It’s a frontline dispatch from where AI meets ROI. We’re not hyping trends—we’re dissecting what works, calling out what doesn’t, and showing you how to stay ahead without losing your mind (or your job).

In this space, you’ll get:

  • Real-world lessons from boardrooms, factory floors, and code bases

  • Insights on what GenAI, automation, and agentic AI mean for your business

  • Stories that challenge, inspire, and occasionally piss off the status quo

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— OG

Latest Industry Trends and News šŸ“ˆšŸŒ

šŸ’”What’s the Big Idea?

Global tech leaders at Davos 2026 are openly balancing two narratives on AI: its transformative value for work and competitiveness, and the real risks it poses to equitable deployment, safety, and societal stability.

šŸ”‘ Key Takeaways for Readers:

Ā· AI’s real economic role is shifting from hype to tangible impact on work and industries.Leaders are discussing AI not as a theoretical disruptor, but as a practical tool to enhance business outcomes, productivity, and workforce integration.

Ā· Safety and ethical guardrails are front and center.Multiple CEOs stressed that scaling AI without integrated safety, fairness, and accountability mechanisms will amplify risks rather than mitigate them.

Ā· Levels of global AI competitiveness matter, especially for Europe.Tech executives warned that uneven access to capital and infrastructure could leave Europe and other regions behind in AI deployment, undercutting economic value and sovereignty.

⚔ Why It Matters (OG lens):

At Davos 2026, the AI debate has moved from abstract speculation to urgent strategic decisions that will shape labor markets, global competitiveness, and the rules governing machine autonomy.

⭐OG Rating:

4/5 - The article captures high-level strategic signals from the Davos stage that matter for leaders, investors, and policymakers—but it stays at a descriptive level without deep operational intel on policy shifts or sector-specific directives.

šŸ’”What’s the Big Idea?

Nature’s 2026 ā€œtechnologies to watchā€ list highlights that artificial intelligence and nuclear energy are among the key emerging technologies likely to shape research agendas, practical deployment, and societal systems in the coming year.

šŸ”‘ Key Takeaways for Readers:

Ā· AI remains central to scientific and technological progress.Nature’s editorial positions AI as a core driver of innovation across fields, underlining its increasing maturity and practical applications that are transitioning from research to real-world impact.

Ā· Nuclear energy re-emerges as a strategic technology for the coming years.The prominence of nuclear energy in Nature’s list signals renewed scientific and practical interest in advanced nuclear technologies, from next-generation reactors to integration with broader energy and research systems.

Ā· Agenda-setting technologies blend incremental progress with breakthrough potential.The editorial frames technologies as rising not purely from hype but where tangible problem-solving and scalable applications (like AI forecasting tools or nuclear energy systems) are emerging, emphasizing real utility over theoretical potential.

⚔ Why It Matters (OG lens):

This editorial signals a shift in the innovation landscape, where AI and nuclear energy are no longer fringe curiosities but agenda-setting technologies with a measurable impact on research priorities, infrastructure planning, and long-term societal implications.

⭐ OG Rating:

3/5: The piece reliably signals where scientific focus is headed, which matters for strategy and investment, but it lacks operational detail on specific breakthroughs, timelines, or disruptive commercial adoption paths that leaders can act on directly.

šŸ’”What’s the Big Idea?

A landmark AI-human music collaboration — The Eleven Album — dropped with contributions from established artists, including Liza Minnelli, blending AI composition with human performance while preserving artist ownership and revenue rights.

šŸ”‘ Key Takeaways for Readers:

Ā· AI and human artists worked together on original tracks.The album features contributions from artists like Liza Minnelli, Art Garfunkel, and Michael Feinstein alongside AI-assisted production, demonstrating a new model for creative collaboration.

Ā· Artists retain full rights and revenue from their work.Unlike controversial unauthorized AI voice clones, ElevenLabs frames this project as rights-secure: participating artists keep full streaming revenue and ownership.

Ā· The release aims to shift the narrative on AI in music.The project is positioned to show that AI can augment rather than replace human creativity, offering a commercial use case built with consent rather than infringement.

⚔ Why It Matters (OG lens):

This album represents a concrete pivot point in the music industry’s reckoning with generative AI: moving from unauthorized replication toward frameworks that integrate technology while safeguarding creator agency and revenue.

⭐ OG Rating:

3/5: This is an interesting signal event showing what consent-based AI collaboration can look like, but it’s early to judge whether this will meaningfully shift industry standards or remain a high-profile experiment.

šŸ’”What’s the Big Idea?

People who rely on AI chatbots for emotional support or personal advice show higher levels of depression, anxiety, and emotional dependence compared to those who use AI for neutral or task-based purposes.

šŸ”‘ Key Takeaways for Readers:

Ā· Emotional AI use correlates with worse mental health outcomesThe study found a statistically significant association between frequent personal or emotional use of AI chatbots and increased symptoms of depression, anxiety, and loneliness.

Ā· Causation is not proven, but risk signals are clearResearchers explicitly state this is a correlation study, not proof that AI causes mental health decline. However, the pattern is consistent with emotional over-reliance and reduced human social interaction.

Ā· Using AI as a ā€œreplacement listenerā€ is a red flagThe highest risk appeared when users treated chatbots as confidants or substitutes for real human support, rather than as tools or information systems.

⚔ Why It Matters (OG lens):

This is an early warning that when AI crosses from tool to emotional surrogate, it can quietly reinforce isolation instead of resilience, especially at scale.

⭐ OG Rating:

4/5: This is not hype or fear-mongering; it is sober, peer-reviewed signal detection that should directly influence how AI assistants are designed, positioned, and governed before emotional dependency becomes a systemic risk.

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ā—¼ I am Olivier Gomez, best known as OG.

ā—¼ I support executives and companies in navigating the Automation and AI landscape and getting tangible results from the technology.

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