Summary of "Is Coding Still Worth It In 2025?"

Overview

The video examines whether learning to code is still a worthwhile career move in 2025–2026, given rapid advances in AI and concerns that AI may replace software engineers.

Main Points and Analysis

AI could disrupt software jobs

The speaker acknowledges the widely discussed fear that AI may eliminate or drastically reduce the need for software engineers.
They reference public claims—for example, an Anthropic CEO statement suggesting most engineers could be replaced within a few years.

Personal perspective from earlier advocacy

The creator explains they previously strongly promoted learning to code, including through:
- bootcamps
- CS classes
- CS majors
They credit coding with major career outcomes, such as:
- landing jobs at Google/Facebook
- starting Algo Expert
- retiring in about 7 years

Core argument: Software engineering benefits from AI more than other fields—right now

The speaker’s main thesis is that software engineering is the biggest beneficiary of AI at present, because:

AI investment and tooling are heavily concentrated in software development
AI’s capabilities map directly onto coding tasks, such as:
- generating code
- iterating faster
- building products with fewer resources

They contrast this with other professions (example: teaching), where AI may improve workflow (e.g., grading or identifying student struggles) but is less likely to drive comparable economic advancement than in software engineering.

A short “window” of employability and leverage

Even if hiring is slower than before (due to factors like interest rates and post–overhiring adjustments), the speaker believes software engineers remain employable.
The next several years are framed as a period where engineers can use AI to gain leverage:
- moving faster
- getting promoted sooner
- building startups more efficiently

Uncertainty about the future

The speaker argues nobody can reliably predict how AI will affect careers in 2030 and beyond.
They caution that even predictions made recently (e.g., in 2021) turned out to be wrong or surprising.
As a result, they discourage making a long-term career decision primarily out of fear of hypothetical future replacement.

Conclusion / Recommendation

Despite concerns about AI-driven disruption, the video recommends learning coding in 2025, arguing it is the skill best positioned to help people capitalize on AI’s current capabilities.