The unhinged world of tech in 2026...

Key Concepts

• AI Bubble & Plateau: Current AI (LLMs) are showing limitations despite hype; potential for continued growth but eventual correction.
• AI-Driven Job Market Shifts: AI is automating tasks, creating new roles (code janitors) and impacting traditional jobs (spreadsheet analysts, graphic designers).
• Humanoid Robotics: Increasing investment and development, with initial deployments in manufacturing.
• Wearable AI: Continued attempts to create useful wearable AI devices, despite past failures.
• Chip Industry Dominance: Nvidia, ARM, and TSMC are key players benefiting from AI demand.
• Nuclear Power Resurgence: Potential for small modular reactors to address energy demands of AI infrastructure.
• Quantum Computing Advancements: Significant progress towards practical applications, potentially surpassing AI in impact.
• Digital IDs & CBDCs: Continued push for government-backed digital identification and currencies.
• JavaScript Ecosystem Evolution: Ongoing improvements and new frameworks (Bun, Ripple) within the JavaScript landscape.

The Code Report - January 14th, 2026: A Technological Forecast

Introduction: The State of Tech in 2026

The year 2026 is characterized by a paradoxical blend of over-engineered technology still operating in a beta state. The speaker frames the current moment as an opportunity for wealth creation, contingent on the stability of the stock market and the continued flow of investment capital into the tech sector. The video outlines ten key trends expected to shape the technological landscape this year.

1. The Software Engineering Job Market: A Complex Picture

While the “golden age” of software engineering jobs seen in 2023 is unlikely to return, the job market isn’t entirely bleak. Indeed job postings haven’t recovered to previous levels, but the Bureau of Labor Statistics forecasts a 15% growth in software development jobs through 2034. A significant change to the H1B visa program, introducing a $100,000 application fee, will likely increase the cost of hiring foreign labor for US tech companies. Despite fears of complete replacement, AI coding tools are not yet capable of fully replacing human engineers. Instead, a new role – “code janitors” – is emerging to address the quality issues inherent in AI-generated code.

2. The AI Bubble: Peak or Plateau?

The speaker argues that the current AI hype cycle is still ongoing, despite evidence suggesting Large Language Models (LLMs) have plateaued. The release of GPT-5 was described as “a huge disappointment,” lacking the exponential intelligence expected of a truly self-improving AI. However, the speaker acknowledges the current technology is impressive, and the bubble hasn’t burst yet. The lack of public AI companies is a key indicator; a wave of IPOs from companies like SpaceX, OpenAI, and Anthropic in 2026 could signal the end of the current hype. The speaker notes that AI is already displacing workers in roles like spreadsheet analysis, mid-level management, and graphic design, and even impacting previously secure roles like Stack Overflow contributors.

3. The Rise of Robotics: From Factories to Homes

Humanoid robots are poised to become a major driver of AI hype in 2026. 1X’s Neo robot, capable of performing household chores, is now available for order. Figure Robots and Tesla Optimus are being developed for use in factories. While the technology is currently imperfect and requires significant “tea operation,” companies like Google and Nvidia are providing the foundational technology for rapid development. The speaker predicts these robots will begin rolling off assembly lines in 2026.

4. Wearable AI: A Second Attempt

Despite the failures of devices like the Rabbit and Humane Pin, OpenAI is collaborating with Johnny IV on a new wearable AI device. Additionally, companies like Nike are developing wearable technology, such as battery-powered shoes designed to enhance athletic performance.

5. VR/AR: An Unprofitable Niche

The Apple Vision Pro, despite its hype, is considered a “massive flop” by the speaker, echoing a previous prediction. While a lower-cost version could potentially change this, the speaker believes the VR/AR space will remain largely unprofitable. The real profits will continue to flow to chip designers (Nvidia, ARM) and manufacturers (Taiwan Semiconductor).

6. The Chip Industry: Demand and Geopolitics

AI’s demand for linear algebra is driving unprecedented demand for chips. Intel faced near-bankruptcy in 2025, but a 10% stake purchase by the US government prevented its collapse, demonstrating the strategic importance of the semiconductor industry. Cloud providers like Azure are struggling to secure enough electricity to power their Nvidia GPUs.

7. Energy Solutions: Nuclear Power’s Potential Revival

The increasing energy demands of AI infrastructure could lead to a resurgence in nuclear power. While many Western countries are decommissioning reactors, China is actively building new ones. Companies like Ollo are seeking approval for small modular reactors (SMRs) that could provide localized power sources for data centers, potentially replacing large-scale solar and wind farms. Zuckerberg’s deal with Ollo to place a reactor in Ohio is cited as an example.

8. Quantum Computing: Approaching Practicality

Significant advancements in quantum computing were made in 2025, notably with Google’s Willow chip and the “quantum echoes” algorithm. For the first time, a quantum computer has demonstrably outperformed a supercomputer in a verifiable algorithm. This signals the potential for real-world applications, and a race between American and Chinese researchers to achieve “version 1.0” of quantum computing.

9. Digital Sovereignty: Digital IDs and CBDCs

European tech leaders are making strides in areas like digital identification and Central Bank Digital Currencies (CBDCs). The UK is committed to implementing digital IDs, and the Eurozone’s digital euro pilot program is progressing towards full issuance by 2029. The speaker frames this as a concerning trend, referencing a “Black Mirror” scenario of government surveillance.

10. The JavaScript Ecosystem: Constant Evolution

Node.js continues to improve, now supporting TypeScript natively. Deno is gaining traction with its built-in module bundler. Bun, a new runtime, is gaining popularity due to its speed and built-in support for databases like Postgres and Redis. On the front end, ReactJS remains dominant despite its flaws, but improvements to its compiler are expected. Alternative frameworks like Svelte, Vue, and Angular are also mentioned.

Conclusion: Navigating the Future

The speaker concludes by highlighting the importance of continuous learning and skill development, recommending Brilliant.org as a resource for understanding AI. The overall message is one of cautious optimism, acknowledging the disruptive potential of technology while emphasizing the ongoing need for human expertise and adaptability. The future is uncertain, but those who understand the emerging trends will be best positioned to thrive.