Forbes India
Legal and policy experts are increasingly warning that autonomous AI agents are racing ahead of the frameworks meant to govern them—especially in India. As companies roll out agents across payments, banking, healthcare and supply chains, regulators are left without a dedicated legal regime for systems that can act autonomously and trigger other AI tools with little or no human oversight.Existing laws covering contracts, liability, consumer protection and data governance are being pushed well beyond their original design. Particular unease surrounds agent to agent interactions and the question of who is responsible when automated systems fail. With oversight still grounded in high level principles and voluntary guidelines, momentum is building for risk based regulation and sandboxed experimentation.That tension between capability, access and control shaped the AI agenda this week. Here are the key developments from across the industry: OpenAI Codex is an artificial intelligence model developed by OpenAI. Photo by ShutterstockOpenAI expands Codex into a more capable AI work partnerOpenAI has rolled out a major update to Codex, pushing it beyond coding assistance and closer to a broader AI work partner for the more than 3 million developers who use it each week. Codex can now operate a user’s computer in the background, with its own cursor, and work across everyday apps, generate images, remember preferences, and take on longer-running tasks over days or weeks.The update also brings deeper developer tooling, including PR reviews, multi-file and terminal support, SSH access to remote development boxes, an in-app browser, and more than 90 new plugins spanning GitHub, Jira, CI tools and workplace apps. OpenAI says new safety layers, including sandboxing and experimental Guardian Approvals, are meant to balance greater autonomy with user control as Codex becomes more agentic. Perplexity CEO Aravind Srinivas. Photo by Getty ImagesPerplexity’s AI-native growth story points to a new startup modelPerplexity’s revenue has surged from zero to $500 million, despite the company beginning with just four people and no revenue, according to CEO Aravind Srinivas. Writing on X, Srinivas said the company increased revenue fivefold from $100 million to $500 million while growing headcount by only 34 per cent, underscoring how AI-native firms are redefining productivity.He described Perplexity as “still a startup”, arguing that tools such as Perplexity Computer bring the company full circle by helping founders and small businesses scale faster with leaner teams. The numbers, he suggests, reflect a broader shift in how modern software companies grow and how much output small teams can now generate with AI embedded from the start. Allbirds has sold its footwear business and rebranded itself as NewBird AI, betting that demand for graphics chips and cloud capacity will prove more lucrative than trainers. Photo by ShutterstockAllbirds’ radical pivot from shoes to AIShares in Allbirds surged by more than 580 per cent after the struggling footwear brand announced an unlikely pivot away from shoes and towards AI compute infrastructure. The company has sold its footwear business and rebranded itself as NewBird AI, betting that demand for graphics chips and cloud capacity will prove more lucrative than trainers.The stock jump reflects the market’s appetite for anything linked to AI, but analysts and industry watchers have been more cautious. The company has no track record in AI and still sits far below its 2021 valuation peak. Even so, it is one of the more striking examples yet of how powerful the AI narrative has become in reshaping investor sentiment. K. Krithivasan, CEO, TCS. Photo courtesy TCSTCS clocks $2.3 billion in AI revenueTata Consultancy Services reported $2.3 billion in annualised AI revenue in FY26, signalling growing traction in enterprise AI even as broader growth remains subdued. The AI run-rate points to faster deployment across industries and has helped stabilise revenues after nearly two years of softness.Chief executive K Krithivasan pointed to improved deal momentum among mid-sized and large clients, while executives described FY26 as a turning point from AI experimentation to scaled adoption. Still, AI remains a relatively small share of TCS’s overall revenues, and analysts remain cautious about how quickly these engagements will translate into sustained AI-led growth. Novartis chief Vas Narasimhan. Photo by Mexy XavierAnthropic adds Novartis chief Vas Narasimhan to its boardAnthropic has appointed Vas Narasimhan, the Indian-origin chief executive of Novartis, to its board, deepening the company’s emphasis on governance and safety as it scales its frontier models. The appointment was made by Anthropic’s Long-Term Benefit Trust, its independent oversight body, which now holds a majority of board seats.Narasimhan brings decades of experience operating in highly regulated environments, having overseen the approval of more than 35 new medicines at Novartis. Anthropic says his background in healthcare and global regulation reflects the kind of oversight increasingly needed as powerful AI systems are deployed more widely and in more sensitive domains. OpenAI has begun rolling out GPT-5.4-Cyber. Photo by ShutterstockOpenAI rolls out a cybersecurity model amid intensifying competitionOpenAI has begun rolling out GPT-5.4-Cyber, a specialised AI model designed to identify software security vulnerabilities, to a limited group of vetted users. The release comes just a week after Anthropic unveiled its own cyber-focused model, Mythos, intensifying competition in AI-driven security.OpenAI says the model is more permissive than its general-purpose systems, allowing deeper probing of code for defensive use. Access is restricted to participants in its Trusted Access for Cyber programme, initially numbering in the hundreds, with plans to expand to thousands. The measured rollout reflects growing concern over the dual-use risks of increasingly capable cyber-oriented AI tools.
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