Dubai Chambers Signs Agentic AI Agreement with India's NASSCOM to Accelerate Private-Sector Adoption

Most cross-border AI cooperation agreements announced across the Gulf this year have been government-to-government: national strategies, ministerial workshops, federal platforms. Dubai's newest agreement takes a different shape entirely, and that difference is exactly what makes it worth a closer look.

Dubai Chambers has signed a preliminary agreement with India's National Association of Software and Service Companies, known as NASSCOM, aimed specifically at accelerating agentic AI adoption among private-sector companies in the Emirates, not government entities.

The agreement, reported by state news agency WAM, is built around a straightforward but genuinely useful trade: Indian technology companies get a clearer path into a market that is actively building infrastructure and incentives around agentic AI adoption, while Dubai-based companies get access to India's considerably larger pool of AI developers, engineers and specialised technology firms.

NASSCOM represents more than 3,500 member companies across a technology industry valued at approximately 315 billion US dollars, and the Noida-based body expects the agreement to spur meaningful exchange of expertise alongside new business opportunities for its members inside the UAE specifically.

For businesses evaluating what this actually means in practice, the distinction between agentic AI and the conventional AI tools most companies have already adopted is worth being precise about. Agentic AI systems are designed to understand a goal, determine the sequence of steps required to reach it, and execute those steps with limited ongoing human supervision.

In an enterprise context, that translates into genuinely multi-step autonomous workflows: handling customer service requests end to end, processing documents through an entire approval chain, managing procurement cycles, running compliance checks, and providing technical support without a human operator manually triggering each individual step. The UAE already has an early, concrete example of what this looks like at scale, with the practical upside enterprises are chasing here straightforward: lower operating costs, faster service delivery, and freeing employees to focus specifically on the judgement-heavy work that still requires a human decision-maker.

Mohammad Lootah, president and chief executive of Dubai Chambers, framed the agreement as part of a considerably broader positioning effort rather than a standalone initiative. Dubai's approach to supporting the private sector's transition toward agentic AI, he said, represents a pioneering global initiative aimed at strengthening the competitiveness of the wider business community, helping companies capitalise on advanced technologies and their applications across the future economy. That framing situates this NASSCOM agreement as one deliberate piece of a considerably larger strategy rather than an isolated partnership signed in isolation.

The larger strategy is genuinely worth mapping out, because this agreement did not arrive out of nowhere. In April, Sheikh Mohammed bin Rashid, Vice President and Ruler of Dubai, set out the now well-documented target of delivering 50 percent of all government services through AI agents within two years, alongside a broader ambition to transform half of the UAE's government sectors, services and operations into agentic AI-driven models over the same period.

The following month, Dubai extended that ambition explicitly into the private sector, unveiling a two-year action plan specifically designed to help the emirate's businesses secure what officials described as a competitive edge in the future global workplace. That private-sector plan is considerably more concrete than a simple adoption target. It commits Dubai Chamber of Commerce to introducing specialised agentic AI training across all of its business councils, and directs Dubai Chambers to establish dedicated incubators for agentic AI companies alongside funds specifically structured to support the transition. The stated goal is turning private-sector companies into what officials call self-innovating hubs, businesses that use agentic AI to increase productivity and reduce costs on an ongoing, compounding basis rather than through a single deployment.

Then, in June, Sheikh Hamdan bin Mohammed, Crown Prince of Dubai, Deputy Prime Minister and Minister of Defence, articulated the ambition in its most expansive form yet, stating that Dubai's goal is to become the world's leading hub for developing and deploying advanced AI solutions.

Whether that ambition is fully achievable is a separate question from whether the underlying execution machinery exists to pursue it seriously. The pattern across April, May and June, target, private-sector action plan, global-hub ambition, followed now by a concrete cross-border talent and expertise agreement, suggests the execution machinery is genuinely being built out in sequence rather than announced and left to sit.

The India side of this equation carries its own momentum worth noting. India has its own substantial national agentic AI push under way, anchored by the government's IndiaAI portal, and the appetite among Indian enterprises for agentic AI specifically is significant, if still largely aspirational rather than realised.

A study from New York-based Ness Digital Engineering, reported in Indian media the same week as this agreement, found that approximately 99 percent of Indian companies surveyed plan to put AI agents into production, while only 9 to 14 percent have fully done so to date. That gap between stated intent and actual deployment is precisely the kind of execution gap a partnership like this one is positioned to help close, giving Indian firms a live, actively incentivised market in which to build and deploy the agentic AI capability they are already planning to develop regardless.

For enterprises across the wider Gulf watching how agentic AI adoption is actually being operationalised at scale, this agreement offers a useful data point distinct from the government-led initiatives that have dominated coverage so far this year. Public-sector agentic AI transformation, however ambitious, ultimately answers to a single set of national targets and a single governance structure. Private-sector adoption is inherently more fragmented, dependent on individual companies making individual investment decisions, and considerably harder to accelerate through policy alone.

Dubai Chambers' bet here is that structured access to India's talent pool and technology sector, combined with the incubators, training and dedicated funds already committed under the emirate's private-sector action plan, gives Dubai-based businesses a genuine execution advantage over waiting for agentic AI capability to develop organically. Whether that bet pays off will depend considerably on how quickly this preliminary agreement translates into actual companies, actual placements and actual deployed systems, the same execution question sitting underneath every one of Dubai's parallel AI initiatives this year.