Veteran investor Kanwal Rekhi describes the AI revolution as a massive wave of innovation, but the reality for investors involves balancing high-growth potential against real risks like high compute costs and sector disruption. We explore the broader implications for tech and Indian markets.
What Happened
Silicon Valley veteran and Inventus Capital co-founder Kanwal Rekhi has described the artificial intelligence revolution as a "tsunami" of wealth creation, suggesting it is the ultimate culmination of decades of technological shifts. In recent comments, Rekhi argued that AI is being amplified by inexpensive computing power, memory, and bandwidth, creating a self-sustaining cycle where capital and ambition drive rapid disruption.
He pointed to startups like Anthropic as examples of this new era, where businesses are achieving scale that eclipses previous models. However, while Rekhi emphasizes the explosive wealth-generating potential of this technology, the broader 2026 market context suggests a more complex reality for investors trying to separate genuine value from speculative growth.
The AI Valuation and Profitability Debate
While high-growth figures from AI startups grab headlines, the underlying economics of the sector are currently a subject of intense scrutiny in 2026. For instance, recent reports have highlighted the massive capital intensity required to train and run large AI models. Even as some companies project multi-billion dollar revenues, the profitability of these businesses is often heavily dependent on how compute costs—such as those linked to massive data center clusters—are managed or discounted.
Investors are now grappling with the difference between revenue growth and sustainable cash flow. Unlike the software-as-a-service (SaaS) boom of the past, which was asset-light and had high margins, the current AI buildout is capital-intensive. The sustainability of this model depends on whether these companies can eventually lower their infrastructure costs as they scale, or if the high expense of computing power will continue to weigh on their bottom lines.
Impact on Indian Markets and IT Sector
For Indian investors, the AI "tsunami" carries a dual meaning. On one hand, it represents an opportunity for the Indian IT services sector to pivot toward higher-value roles, such as the deployment and integration of AI. On the other hand, the sector is facing a structural challenge.
Recent market data has shown increased volatility in the Nifty IT index, driven by fears that agentic AI and coding tools could automate routine tasks traditionally outsourced to Indian IT firms. This has led to a re-evaluation of how much of the traditional IT service business is at risk of automation. Large firms are currently navigating this shift, balancing the need to adopt AI for their clients while defending their existing service margins.
Risks and Market Realities
Investors should be aware of several key risks in the current AI environment:
- Compute Costs: The profitability of many AI firms remains sensitive to the cost of hardware and energy. A rise in these costs can quickly squeeze margins.
- Valuation Bubbles: As with any rapid innovation cycle, there is the risk of overpaying for companies based on future potential that may take years to materialize.
- Regulatory and Ethical Hurdles: As AI adoption becomes deeper, regulatory scrutiny regarding data usage and model reliability is likely to increase, potentially impacting business models.
- Displacement Risks: For the IT sector, the risk of revenue deflation remains a primary concern for investors tracking large-cap and mid-cap stocks.
What Investors Should Track Next
Instead of focusing solely on headline growth figures, investors may want to monitor:
- Sustainable Profitability: Look for companies that demonstrate a clear path to profitability without needing to heavily discount their operating costs.
- Deployment Success: Watch for Indian IT companies that are successfully winning deals to integrate AI for global clients, as this proves their relevance in the new landscape.
- Infrastructure Demand: Keep an eye on companies that supply the "picks and shovels" of the AI era—such as power, data center infrastructure, and specialized hardware—which are often more shielded from pure software volatility.
- Management Commentary: Pay close attention to how leadership teams in the technology sector manage the transition from traditional service models to AI-driven delivery.