OG Approved - No BS Tech News # 102

🚀 Welcome to the Real AI Conversation

Author

Olivier Gomez (OG)
January 08, 2026

🚀 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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Let’s cut through the noise and build a smarter future, together.

— OG

Latest Industry Trends and News 📈🌐

💡What’s the Big Idea?

AI is exiting its hype phase and entering a structural one, where value will come less from tools and more from organizational design, infrastructure, and governance.

🔑 Key Takeaways for Readers:

  1. The AI bubble will deflate, but AI itself will endure. Short-term overvaluation, infrastructure excess, and hype will correct, yet AI will remain a long-term economic driver once expectations realign with reality.

  2. Winning enterprises will build AI factories, not experiment. Scalable AI value will come from reusable platforms, shared data, and standardized methods, not isolated pilots or hero data scientists.

  3. GenAI and agents only matter when treated as enterprise assets. Individual productivity tools deliver marginal gains; real impact comes from embedding GenAI and future agents into core business processes like supply chain, R&D, and sales.

⚡ Why It Matters (OG lens):

2026 is the year enterprises stop asking “What can AI do?” and start asking “How do we industrialize it without breaking trust, economics, or governance?”

⭐OG Rating:

4.5 / 5 - Clear-eyed, unsensational, and grounded in real enterprise behavior; it slightly underplays how brutally hard organizational change will be, but nails the direction of travel.

💡What’s the Big Idea?

AI in 2026 will shift from raw capability competition to structural control of models, commerce, and legal accountability.

🔑 Key Takeaways for Readers:

  1. Open and foundational models will reshape the ecosystem. Silicon Valley products will increasingly run on open-source models from China and elsewhere, shortening global innovation lags and lowering dependency on closed proprietary stacks.

  2. AI will redefine commerce through intelligent shopping agents. AI-powered chatbots will not just assist browsing but drive purchase decisions and potentially manage transactions, fundamentally changing digital retail.

  3. AI legal accountability arrives in force. 2026 will witness high-impact courtroom battles that clarify liability for AI-generated harm, misinformation, and actionable advice, reshaping risk, insurance, and corporate strategy.

⚡ Why It Matters (OG lens):

AI’s future isn’t about better models; it’s about control points — governance, ownership of data and infrastructure, legal risk, and who captures commercial value — and 2026 is the year that reality begins to crystallize.

⭐OG Rating:

4 / 5 - The piece cuts past hype to surface structural shifts that matter to leaders, but loses points because the most actionable insights (beyond general direction) aren’t obvious without the full article text.

💡What’s the Big Idea?

The loudest AI doomsday timelines are slipping because real-world complexity, messy performance, and organizational inertia are slowing the path from powerful models to self-improving superintelligence.

🔑 Key Takeaways for Readers:

  1. AI self-acceleration is harder than predicted. Daniel Kokotajlo now expects fully autonomous coding to arrive in the early 2030s, not 2027, pushing “superintelligence” to around 2034 and removing near-term extinction claims.

  2. AGI timelines are being revised across the field. Experts cited in the article note that AI performance is uneven and brittle, and that useful autonomy in real environments requires far more practical, integrated skills than benchmarks suggest.

  3. The concept of AGI itself is losing clarity. As AI systems become broader but still unreliable, some researchers argue that “AGI” no longer cleanly describes where progress is actually heading or how impact will unfold.

⚡ Why It Matters (OG lens):

This marks a shift from AI apocalypse narratives toward operational reality: intelligence alone doesn’t rewrite society, execution does.

⭐OG Rating:

4 / 5 - Strong corrective to hype-driven fear, grounded in expert reassessment, but still anchored to speculative constructs rather than measurable enterprise or societal transformation paths.

💡What’s the Big Idea?

NVIDIA is no longer just shipping chips; it is systematically assembling full-stack autonomy, from reasoning models to supercomputers to real-world deployment.

🔑 Key Takeaways for Readers:

  1. Autonomous driving shifts from perception to reasoning. NVIDIA’s Alpamayo models introduce chain-of-thought reasoning for autonomous vehicles, breaking complex driving situations into explainable decisions rather than reflexive reactions.

  2. Infrastructure scale keeps accelerating, not slowing. The Vera Rubin architecture moves from announcement to production, with eye-watering transistor counts that reinforce NVIDIA’s strategy: build compute capacity so far ahead that software innovation has room to catch up.

  3. Gaming remains a proving ground for AI techniques. DLSS 4.5 and G-SYNC Pulsar show NVIDIA using consumer graphics to operationalize transformer models, real-time generation, and perceptual optimization, techniques that increasingly mirror enterprise and industrial AI patterns.

⚡ Why It Matters (OG lens):

This is NVIDIA tightening its control over the AI value chain: models, hardware, simulation, and deployment, all moving in lockstep.

⭐ OG Rating:

4.5 / 5 - Less flashy than past CES keynotes, but more dangerous strategically: fewer announcements, tighter integration, and clear signs of industrialized AI maturity.

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◼ I am Olivier Gomez, best known as OG.

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

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