Artificial Intelligence has significantly altered workforce management protocols, prompting companies to rethink hiring strategies. A prime example is AI-native investment platform S45, whose cofounder, Aman Singh, emphasized at Inc42’s AI Summit 2026 that they only recruit for roles that AI cannot fulfill.
### S45’s Unique Hiring Strategy
S45 has structured its workforce into a three-tier system. The first tier comprises engineers who develop AI agents. The second tier consists of AI agent bankers, individuals who collaborate with these agents to manage their operations and ensure the quality of their outputs. These two tiers account for 80% of the workforce, with the remaining personnel focusing on distribution and sales. Despite the AI-centric nature of the company, Singh noted that human resource costs still surpass AI expenditures, with engineering accounting for nearly half of the technology budget. The company prioritizes providing its teams with unrestricted access to advanced tools, allowing engineers to choose the models and frameworks that best enhance their productivity.
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### Context and Competitive Landscape
The approach taken by S45 is indicative of a broader trend in the tech industry, where companies are leveraging AI to optimize operations while minimizing human intervention. In a panel discussion featuring industry leaders such as Anish Achuthan of Open Financial Technologies and Kausal Malladi of INDmoney, the consensus was that while AI adoption is increasing, the financial allocation towards AI remains flexible. Malladi mentioned that his company is reluctant to assign a fixed AI budget due to the rapidly changing landscape and fluctuating costs. Achuthan highlighted the declining costs of AI technologies, noting that the same budget now provides more value due to decreasing token prices, allowing for expanded AI usage without proportionally increasing expenses.
### Implications for India’s Startup Ecosystem
The emphasis on AI in workforce management reflects a significant shift in the startup ecosystem in India, where technology is increasingly driving business strategies. Startups like S45 are at the forefront of this transformation, demonstrating how AI can be integrated into core operations. This shift is crucial as it influences how startups allocate resources, prioritize expenditures, and strategize growth, potentially setting a precedent for other companies in the sector. The dynamic nature of AI costs and capabilities also requires startups to remain agile, continuously adapting to technological advancements to maintain competitive advantages.
S45’s strategy may inspire other startups to reconsider their hiring and operational strategies, focusing on roles that require human creativity and decision-making skills, which AI cannot replicate. As AI continues to evolve, investors and founders will need to monitor developments closely. The next phase could involve more sophisticated AI applications, compelling companies to further adapt their models and strategies. Observing how startups balance AI integration with human expertise will be key to understanding the future trajectory of India’s tech ecosystem.
