Contrary to fears of job replacement, AI coding systems expand what software can achieve, fueling a surge in project complexity and ambition. This trend increases the overall volume of code and the need for high-level human oversight, resulting in continued growth for developer roles rather than a reduction.

The biggest AI opportunities lie in replacing human labor costs, not just competing for existing software budgets. Gokul observes this shift happening in stages: companies first cut outsourced BPO spend, then freeze hiring for roles that leave, and only later resort to layoffs.

Sequoia partner Julian Beck advises that AI services ("autopilots") will initially target work that companies already outsource. This strategy avoids internal reorgs and firings, replaces an existing budget line cleanly, and targets buyers who are already comfortable with external work products.

Contrary to fears of AI making SaaS obsolete, the reality is that most enterprise software is deeply flawed. A contrarian view is that AI will provide the tools to finally rebuild these systems better, creating a massive new wave of demand for software development and product design.

Vinod Khosla warns that AI will decimate the traditional business process outsourcing and IT services sectors, which are foundational to India's economy. Incumbent firms face extinction unless they radically reinvent their business models.

Despite powerful new models, enterprises struggle to integrate them. OpenAI is hiring hundreds of 'forward-deployed engineers' to help corporations customize models and automate tasks. This highlights that human expertise is still critical for unlocking the business value of advanced AI, creating a new wave of high-skill jobs.

The fear that AI will eliminate jobs in fields like law is misplaced. While it automates low-level tasks, it also enables clients to grow faster and create more complex products. This generates a new wave of demand for high-level advisory on emerging issues like AI risk and global regulations.

While AI automates many tasks, it also makes software development cheaper and faster. This lowers the barrier to entry for new projects, increasing the overall demand for programmers to build and manage these newly feasible applications, especially for smaller companies.

While Indian IT service companies might see a short-term boost by using AI tools, the technology fundamentally lowers the barrier to entry for their core business. The market is already reacting to the long-term risk that their value proposition will be commoditized and automated away.