According to Andrew Ng (@AndrewYNg), concerns about AI making human contributions obsolete are largely fueled by hype, not reality. Ng emphasizes that despite rapid advancements in AI, current large language models (LLMs) are still highly specialized, require significant customization, and remain limited compared to humans in many business contexts (source: deeplearning.ai/the-batch/issue-327). He highlights that while AI tools are improving, they cannot fully automate complex tasks like resume screening or decision-making without extensive engineering. Ng points out that fears of AGI (Artificial General Intelligence) displacing all jobs are overstated, and that there are significant business opportunities in building AI applications tailored to specific problems. He encourages young professionals and students to learn AI and software development, as the industry will need skilled talent for decades, especially for creating, customizing, and deploying practical AI solutions in diverse markets.

According to Sam Altman (@sama) on Twitter, the US government's involvement in rebuilding critical infrastructure and supporting domestic supply chain and manufacturing aligns closely with the priorities stated by government officials (source: x.com/deanwball/status/1986822108895191154). Altman emphasizes that comprehensive reindustrialization—covering fabs, turbines, transformers, and steel—will significantly benefit the AI industry and related sectors by providing a robust, reliable supply chain. This approach presents concrete opportunities for AI businesses to leverage improved domestic manufacturing capabilities, reducing dependency on foreign suppliers and mitigating supply chain risks. Altman clarifies that these national policy initiatives are fundamentally different from targeted loan guarantees to individual AI companies like OpenAI. Instead, broad-based government support stands to enhance competitiveness and resilience across the entire AI industry and the wider technology sector (source: @sama on Twitter, Nov 7, 2025).

According to Anthropic (@AnthropicAI), the company is actively hiring for its Safeguards team, which is responsible for ensuring the safety and trustworthiness of its Claude AI platform (source: Anthropic, June 26, 2025). This hiring drive highlights the growing business demand for AI safety experts, particularly as organizations prioritize responsible AI deployment. The Safeguards team works on designing, testing, and implementing safety guardrails, making this an attractive opportunity for professionals interested in AI ethics, risk management, and regulatory compliance. Companies investing in AI safety roles are positioned to build user trust and meet evolving industry standards, pointing to broader market opportunities for safety-focused AI solutions.