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Ex-Google CEO explains the Software programmer paradigm is rapidly coming to an end. Math and coding will be fully automated within 2 years and that's the basis of everything else. "It's very exciting." - Eric Schmidt
r/aiagents
7/31/2025
Content Summary
The post discusses a statement by Eric Schmidt, the former CEO of Google, who claims that math and coding will be fully automated within two years. This raises concerns about the future of software programmers and the potential for widespread job displacement. The comments reflect mixed reactions, with some expressing fear about losing their jobs and others questioning the implications of such rapid automation.
Opinion Analysis
Mainstream opinion seems to be focused on the fear of job loss due to automation, especially among software developers. Some users express concern about the implications of this shift, while others question whether this is realistic or beneficial. There's also a debate about whether automation will lead to more opportunities for humans to focus on higher-level tasks rather than routine work. A few commenters suggest that reskilling and adapting to new roles will be essential for survival in this new landscape.
SAAS TOOLS
| SaaS | URL | Category | Features/Notes |
|---|---|---|---|
| [Fill if mentioned] | [Fill if mentioned] | [Fill if mentioned] | [Fill if mentioned] |
USER NEEDS
Pain Points:
- Fear of job displacement due to automation
- Concerns about the future of programming as a profession
Problems to Solve:
- How to adapt to a rapidly changing job market driven by AI and automation
- How to remain relevant in an industry where coding may become obsolete
Potential Solutions:
- Reskilling or upskilling to new roles that are less likely to be automated
- Focusing on areas of work that require human creativity, judgment, or emotional intelligence
GROWTH FACTORS
Effective Strategies:
- Adapting to technological shifts and staying ahead of trends
- Building products that address emerging needs in a rapidly evolving tech landscape
Marketing & Acquisition:
- Leveraging thought leadership and expert opinions to build credibility
- Engaging with communities interested in AI and automation
Monetization & Product:
- Emphasizing the value of human-centric skills in an AI-driven world
- Focusing on tools that help users transition to new roles or industries
User Engagement:
- Creating discussions around the future of work and technology
- Encouraging community participation in debates about the impact of AI on jobs