Ilya Sutskever Changes His Mind About How to Build Superintelligence

Ilya Sutskever, former OpenAI co-founder and now CEO of Safe Superintelligence Inc. (SSI), revealed new details about the company’s strategy and eventual business model during a rare podcast appearance with Dwarakesh Patel.

Despite SSI raising nearly $3 billion since 2024 and still having no product, Sutskever insisted that monetisation will only follow after the core research is solved.

“Right now, we just focus on the research, and then the answer to this question will reveal itself,” he said. “I think there will be lots of possible answers.”

SSI began with the philosophy of “straight shot superintelligence”: prioritise building a safe superintelligent system first, and worry about productisation later. But Sutskever now says even that approach may require exposure to the public before reaching the finish line.

Patel asked why SSI would attempt to build superintelligence directly, while competitors release “weaker and weaker intelligence” models that gradually acclimate the public.

Sutskever agreed that releasing powerful AI incrementally may be necessary because society cannot meaningfully grasp its impact from essays and forecasts alone.

“It is nice to say, we’ll insulate ourselves from all this and just focus on the research and come out only when we are ready and not before,” he said.

But, he added: “I think on this point, even in the straight shot scenario, you would still do a gradual release of it… The gradualism would be an inherent component of any plan. It’s just a question of what is the first thing that you get out of the door.”

On the question of compute spending, Sutskever, who has been a vocal critic of the idea that simply “throwing more and more compute” will get the industry to superintelligence, also argued that SSI does not need the same scale of hardware investment as today’s AI giants.

He claimed that most of the enormous budgets at labs like OpenAI and Anthropic are tied up in inference, multimodal systems, staffing and product engineering — not in pure research.

“Then when you look at what’s actually left for research, the difference becomes a lot smaller,” he said. “The other thing is — that if you are doing something different —do you really need the absolute maximal scale to prove it? I don’t think it’s true at all.”

Patel challenged him further: if SSI is exploring “50 different ideas,” how can it know which ones will rival a breakthrough like the transformer without massive compute?

Sutskever responded: “I think that in our case, we have sufficient compute to convince ourselves and anyone else that what we’re doing is correct.”

Sutskever stressed that SSI’s edge is simply that it is pursuing a different paradigm, not trying to beat other labs on product cycles. “We are squarely [an] age of research company,” he said, and the goal is to first validate new ideas about generalisation before deciding how to deploy them.

Sutskever co-founded OpenAI in 2015 after leaving Google Brain, where he contributed to the breakthroughs that led to large-scale deep learning systems.

He exited OpenAI in May 2024 amid concerns that commercial pressure was overtaking the company’s original safety-first mission.

On June 19, 2024, he launched SSI with former Apple AI lead Daniel Gross and former OpenAI researcher Daniel Levy.

Operating between Palo Alto and Tel Aviv, SSI secured $1 billion by September 2024 and raised another $2 billion in April 2025, reportedly reaching a valuation of $30–32 billion despite having no product.

In July 2025, Gross left to join Meta’s AI division. Sutskever then took over as CEO, continuing SSI’s research-first push toward building safe superintelligence.

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India Writes the G20 Tech Script in Johannesburg Consensus

G20 Johannesburg became a turning point for global tech governance, with India driving outcomes in the US’s absence and shaping the Johannesburg Consensus on open tech and public digital infrastructure.

The Global AI Compact

India used the summit to push for new global rules on AI. Prime Minister Narendra Modi called for a shift away from “finance-centric” to “human-centric” systems, placing human oversight at the core of AI governance.

He proposed safety by design, algorithmic transparency, limits on deepfakes and encouragement for open-source AI models, urging leaders to focus on building the “capabilities of tomorrow” by moving beyond protecting the “jobs of today”.

PM Modi also announced the AI Impact Summit for February 2026, themed ‘Sarvajan Hitay, Sarvajan Sukhay’, which translates to ‘for the welfare of all, for the happiness of all’.

IBSA’s Digital Return

IBSA (India, Brazil, South Africa) re-entered the global tech conversation with the IBSA Digital Innovation Alliance. India offered UPI to Brazil and South Africa, Brazil is exploring linkages with PIX, while South Africa is using the alliance to modernise its payments landscape.

CoWIN will become a shared public health platform, and the bloc will join hands on cybersecurity protocols, women-led technology projects and NSA-level coordination, acknowledging the merger of digital and national security.

The ACITI Partnership

India quietly sealed the Australia-Canada-India Technology and Innovation (ACITI) Partnership, linking the three countries on critical minerals, clean energy, AI, lithium recycling, 6G, quantum and supply-chain resilience.

Canada and Australia bring deep mining strength. India brings its growing AI base. The deal also marks a reset in India-Canada. The pact encourages joint work on recycling lithium, designing cleanties, with operational meetings starting in early 2026.

UAE’s Billion Dollar AI Push for Africa

The United Arab Emirates (UAE) announced a $1 billion ‘AI for Development’ fund to accelerate Africa’s digital adoption, supporting smart classrooms, telemedicine and climate modelling tools. It signals how Gulf economies are using shared AI infrastructure as a path to global inclusion.

DPI Goes Global

Digital Public Infrastructure (DPI) moved to the centre of development discussions. PM Modi proposed an Open Satellite Data Partnership to give developing nations access to satellite imagery and measurements from G20 space agencies—from mixture maps for farmers to storm alerts for coastal communities.

India also launched the G20 Africa Skills Multiplier to train one million digital trainers and a Global Traditional Knowledge Repository to protect medical and ecological heritage from “bio-piracy”.

Critical Minerals Circularity

India pushed a shift from extract-and-export to recycling and urban mining for lithium, cobalt and other battery metals. The Critical Minerals Circularity Initiative aims to reclaim materials from used batteries and electronics, cut pollution and build cleaner domestic supply chains, aligning with Africa’s mineral boom.

Africa’s AI Factories

Strive Masiyiwa, founder of Cassava Technologies, announced five AI factories across Africa—a $720 million investment in local supercomputing powered by NVIDIA processors.

Most of the capacity is already pre-booked by universities, banks and startups signalling a significant leap in data sovereignty and local AI development.

China-South Africa Green Tech Plan

China and South Africa outlined a plan for clean industrialisation, focussed on green mining and adding value on the continent.

The goal is to turn Africa’s mineral resources into manufacturing strength and build innovation-ready green industries.

India’s Bilateral Tech Corridors

India advanced several bilateral tracks. Along with Italy, the country introduced a new initiative to track terrorism financing via crypto, payments and the dark web; progress on space. It covered semiconductors, talent mobility and economic security with Japan.

With South Africa, India reviewed cooperation in AI, public digital systems, minerals and education, and IIT’s African campuses. Telecom networks and 6G frameworks were the focus of the India-UK talks.

Tracking the Drug Terror Economy

PM Modi urged the G20 to target fentanyl networks using data analysis and financial intelligence to trace digital money flows behind synthetic drugs.

A New Digital Order

Johannesburg showed a Global South ready to write its own rules. With the US absent, decisions moved faster—and India anchored a model built on DPI, open technology and human welfare.

The Johannesburg Consensus reflects a world choosing neither Silicon Valley’s market-driven approach nor surveillance-heavy alternatives, but a middle path that keeps technology fair, accessible and centred on human needs as India heads toward the 2026 AI Impact Summit.

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This Startup is Trying to Fix AI’s Traffic Jam

For years, the optical interconnect inside the data centre, one of the smallest components in the stack, has been an outsized bottleneck. Every AI model, every hyperscale application, every server cluster ultimately depends on how efficiently data moves across machines. But, the industry standard pluggable transceiver, bulky and power-consuming, has barely evolved at the pace of cloud-scale expansion.

That mismatch is the starting point for Rohin Y and his team at LightSpeed Photonics, who are building what they call the first solderable optical transceiver, a component that is 20 times smaller and five times lower in power consumption than the conventional pluggable version. “We wanted to rethink the interconnect from first principles,” Rohin says. “Not shrink it, reinvent it.”

Their 400 Gbps transceiver, engineered to fit onto a motherboard like any ordinary chip, is being positioned as the “first and only” such product in the global market. Instead of embedding photonics inside the silicon, their architecture keeps it modular—simplifying manufacturing, lowering cost, and dramatically reducing time to market. “We’re a frugal alternative to silicon photonics,” Rohin says. “Others put optics inside the chip; we put it where it’s easier to scale.”

A Market Defined by AI and Power Constraints

The timing could not be more strategic. The world’s data centres, especially those powering AI clusters, are running into severe energy, cooling, and space constraints. Optical interconnects, though critical, are still expensive and cumbersome to integrate. With AI workloads expected to double power consumption every three to four years, the pitch for a smaller, lighter, cooler interconnect is resonating.

The global data centre interconnect market itself is projected to grow into a multi-billion-dollar opportunity, driven by hyperscalers racing to keep up with next-generation AI model demands. But, instead of chasing hyperscalers directly, the company is taking a practical route: OEM partnerships. That means working with players like Supermicro, Quanta, Dell, HP, and Juniper Networks, who already serve the major cloud providers.

“OEMs are the real gatekeepers of data centre hardware,” Rohin says. “If they approve you, the entire market opens.”

The company already has one pilot completed and two more in the pipeline, which will be executed with the fresh infusion of Series A capital.

Business Model

The business model is rooted in a simple, high-volume logic of becoming the go to optical interconnect component for OEMs. The solderable design eliminates custom packaging, reduces touchpoints, and allows the component to integrate directly into server motherboards or network cards.

Co-founder and CTO P V Ramana explained that Vertical-Cavity Surface-Emitting Laser (VCSEL)–based optical interconnects now command over half of data centre deployments because they consume less energy and are cost-effective.

He added that when these components are packaged as compact, solderable units, they can significantly increase data throughput, simplify PCB design, and help lower both power usage and GPU temperatures.”

Mass manufacturing is expected in 2027, and the company is projecting $30 million in revenue that year, with scaling to follow as OEM partnerships deepen. “We’re pre-revenue, but the ramp after OEM qualification is very steep,” Rohin says.

LightSpeed Photonics operates in a global landscape that includes players like Celestial AI, Ayar Labs, and Ranovus, each tackling data bottlenecks in AI and high-performance computing. While many competitors focus on chip-level or co-packaged photonics backed by significant global investment, LightSpeed takes a different route with a solderable optical module that fits into existing system architectures, offering comparable performance through an alternate integration approach.

The Funding Arc

The company has raised $6.5 million in a pre-Series A round, led by pi Ventures. Other investors participating in this round include 500 Global, Indian Accelerator and returning investors – 8X Ventures & Java Capital and Angels from Bay Area. With this, the company’s total funding stands at approximately $8.5 million, including grants.

“LightSpeed’s high speed optical interconnect product family is engineered to address a major hurdle of data movement in large-scale AI and cloud computing, by delivering significantly faster data transfer, and at the same time drastically reducing energy consumption,” said Manish Singhal, founding partner at pi Ventures.

Singhal said, “Their (LightSpeed’s) innovation allows system upgrades without redesigning entire architectures – a game-changer for hyperscale data infrastructure.”

“We’re excited to back a deep tech team that’s solving a global-scale infrastructure challenge from India,” he added.

“Investors saw we weren’t just building a lab prototype,” Rohin says. “We were solving a real data centre problem at the right time.”

The Series A funds have a focused purpose: executing the pilots and establishing a small R&D facility that accelerates iteration cycles. Beyond this, the company is already planning its next fundraise — $20-25 million, supplemented by 50-60% value add through government incentive schemes.

Building in India, Scaling in the US

The company’s go-to-market strategy is two-pronged. US for technology approval because nearly 40% of the world’s data centres are there, and OEM qualification often begins in Silicon Valley. India and developing economies for volume production – especially the Middle East and emerging markets, which are aggressively building new AI-ready data centre capacity.

“We have certain elements that are centred in Singapore for that reason, and we want to gradually bring that capability on a large scale back to India,” says Rohin.

The US is where data centres are and where early traction happens, but the manufacturing and large-scale impact will eventually shift to India, he adds.

Talent Unavailable?

None of this would be possible without the kind of talent the company has managed to assemble. In deep-tech, especially photonics, the global talent pool is small and India’s is even smaller. Yet, the startup has built a team of specialists in optics, RF, electronics, embedded systems, and manufacturing engineering.

The company has also taken a contrarian view on hiring: instead of scaling headcount aggressively. With a 30-member team, they maintain a tight core of engineers capable of working across disciplines. “We look for engineers who can think beyond their specialisation,” Rohin says. “Deep-tech needs intersectional skills.”

The talent function is also tied to India’s growing deep-tech culture. Universities are producing more optics and hardware engineers than ever before. Meanwhile, large tech companies are no longer the only aspirational employers, startups are also building real hardware and are gaining credibility.

“If AI is the engine, the interconnect is the fuel line,” says Rohin. “And right now, the world needs a better fuel line.”

The next year will be defining for LightSpeed Photonics. Closing the Series A, executing the pilots, setting up the R&D centre, beginning the India manufacturing transition, and preparing for the large funding round. All this while pushing toward OEM qualification will test the company’s technical and operational resilience. Rohin says, “there’s no better time to do it.”

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Hyderabad’s MIRA Space Telescope Clears NASA-Grade Tests, Set for Launch in December

EON Space Labs said its miniaturised ultra-lightweight space telescope, MIRA, has cleared thermo-vacuum testing, qualifying it for space operations in accordance with NASA standards.

The Hyderabad-based startup confirmed the milestone and said the telescope will fly on a satellite mission in December 2025 along with another Hyderabad space startup, TakeMe2Space.

The test establishes the telescope’s readiness for low Earth orbit and verifies its performance under temperature shifts, vacuum levels, and operational loads. The electro-optical payload weighs 502g and aims to support defence and commercial missions.

Co-founder Sanjay Kumar said, “This is a truly defining moment for us. Space-grade certification proves that ultra-complex, high-precision imaging platforms can now be built and certified entirely from within India.”

This development comes just after the startup raised $1.2 million in a pre-series A funding round in August this year. This was led by MGF Kavachh, with HHV Advanced Technologies joining as an investor and strategic partner.

Along with MIRA, the funding was announced to support the manufacturing of electro-optical and infrared (EO/IR) payloads and the expansion of EON’s engineering team.

The tests took place at an NABL-accredited facility in Ahmedabad. Conditions included vacuum levels below 10⁻⁵ torr and temperature swings from −20°C to +60°C. The telescope also ran imaging and telemetry tasks with an onboard computer, replicating orbital conditions.

“MIRA enables the highest-quality imagery at a fraction of traditional size and weight limitations,” said co-founder Punit Badeka. EON Space Labs is also developing its LUMIRA EO/IR aerial imaging platform for drones, UAVs, eVTOL aircraft and fixed-wing systems.

As the startup aims to build dual-use optical systems for space and aerial missions, co-founder, Manoj Kumar Gaddam, added that the company’s optical and AI-enabled stack aligns with space conditions.

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Cornell Tech Secures $7 Million From NASA and Schmidt Sciences to Modernise arXiv

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Cornell Tech has received over $7 million in combined funding from NASA and Schmidt Sciences to overhaul arXiv, the influential open-access research repository that now hosts more than 2.8 million scientific papers.

The investment will accelerate arXiv’s migration to cloud infrastructure, upgrade its ageing codebase and develop new recommendation tools to help researchers better discover relevant preprints.

Greg Morrisett, Jack and Rilla Neafsey, dean and vice provost at Cornell Tech, said the support ensures the platform can scale with the growing needs of the global research community. He called the funding a critical investment in arXiv’s long-term sustainability.

Ramin Zabih, arXiv’s executive director and a professor of computer science at Cornell Tech, noted that the repository is in the middle of a major technology transformation.

The grants, he said, will allow the team to complete the migration without service disruptions, while also experimenting with improved discovery and access tools.

Schmidt Sciences’ contribution will help arXiv expand its engineering capacity and finish the modernisation push.

NASA’s grant will support research into building fairer and more effective search and recommendation capabilities, as well as extending arXiv’s reach into fields aligned with the agency’s priorities, including planetary science.

James Ricci, director of science systems at Schmidt Sciences, said the organisation is eager to help arXiv move to scalable cloud infrastructure and meet rising global demand, calling the platform a vital driver of open science.

Founded in 1991 by physicist Paul Ginsparg, arXiv has grown into a widely used repository for disciplines spanning physics, mathematics, computer science, quantitative biology, finance and more.

Beyond the latest grants, the platform continues to be supported by the Simons Foundation, academic libraries, universities, professional societies and individual donors.

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AIM x Snowflake Innovator Session: Empowering Women to Lead with Confidence in the AI Era

AIM, in collaboration with Snowflake, is excited to present an inspiring and future-focused webinar, ‘AI Leadership & Innovation: Are You Ready for the Next Tech Wave?’ The thought-provoking conversation will feature two trailblazing technology leaders, Sowmya V Kumaran, director of engineering and AI infrastructure management at Cisco, and Kanika Kapoor, senior VP of data management and analytics leader at NatWest.

Register Now

Kumaran leads high-impact engineering teams that build AI-ready platforms, automation frameworks and next-generation infrastructure solutions. With deep expertise in enterprise systems, AI enablement and large-scale platform engineering, she plays a pivotal role in shaping Cisco’s AI infrastructure strategy for global customers.

Meanwhile, Kapoor brings over two decades of leadership experience across data strategy, analytics modernisation and enterprise AI adoption. She oversees transformative initiatives that empower business lines through trusted data, advanced analytics and intelligent decision systems. Her work has been instrumental in modernising data capabilities across the bank’s global operations.

Together, these two leaders will explore the rising influence of women leaders in AI and technology. The discussion will highlight how women are championing gender diversity, shaping inclusive teams and accelerating innovation through equitable leadership.

What to Expect?

This comprehensive session will spotlight inspiring journeys of emerging tech leaders, regardless of gender, who are pioneering cutting-edge AI initiatives and reshaping the technology landscape.

Their experiences will highlight the leadership qualities, career paths and strategies that have propelled their success, offering actionable insights for professionals navigating a rapidly evolving tech ecosystem.

The discussion will delve into the essential skills required to future-proof careers, from technical capabilities such as machine learning and data literacy, to critical soft skills like adaptability, systems thinking, resilience and a lifelong learning mindset.

A key focus will be on the pivotal role women leaders are playing in advancing gender diversity within AI and tech organisations. Through real-world examples, the session will explore how women are championing equitable workplaces, strengthening talent pipelines and catalysing cultural change.

Moreover, the webinar will examine how sponsorship and mentorship from senior leaders can accelerate women’s career growth, improve representation and foster leadership advancement across the industry.

The session will conclude with an emphasis on the importance of cultivating a culture of continuous learning and inclusion, one that empowers individuals to thrive, strengthens organisational resilience and fuels innovation in AI-driven environments.

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Why You Should Attend

This session is a rare opportunity to hear first-hand from industry leaders who are shaping AI transformation within some of the world’s most respected organisations.

Participants will gain a deeper understanding of how AI innovation is reshaping career paths, along with clarity on the skills and leadership traits that will matter most in the coming decade.

The session will equip professionals with strategies to become more confident, adaptable and future-ready, while providing a practical blueprint for continuous learning and long-term growth. Attendees will also receive insider perspectives on building high-performance, inclusive tech teams capable of thriving in an AI-driven future.

Ultimately, the conversation will highlight how breaking barriers begins with shifting how we see ourselves in fast-moving, AI-first environments. Attendees will gain insights on how to be more assertive, use empathy as a strength, build meaningful allies and invest intentionally in their own growth.

Whether you’re at the beginning of your professional journey or leading large teams, this session is designed to empower you with the frameworks, foresight and confidence needed to navigate the AI-powered future.

Event Details

AIM x Snowflake Innovator Session
Date: December 10, 2025
Time: 4.00-5.00 pm (IST)

Join the webinar using the unique link you’ll receive upon registration.

Don’t miss this chance to learn directly from industry pioneers and position yourself for the next wave of innovation. Register now and step into the future of tech leadership.

Register Now

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AI-Driven GCCs’ Race Gets Dense as Indian Firms Follow IBM

Global capability centres are now under pressure to enhance operational efficiency, unlock data value, and deliver personalised, omnichannel experiences.

This results in a growing number of GCC mandates now coming with a built-in digital and AI-first agenda. In fact, industry analysts report that over 60% of new GCC mandates in 2024 include a digital and AI-first charter, reflecting the shift from service delivery to strategic value creation.

At the backdrop of such AI led innovations in India, Infosys recently unveiled its AI-first GCC model, a specialised offering designed to transform GCCs into AI-driven hubs for innovation and business growth.

The model leverages Infosys’ experience with over 100 GCC engagements, including setups for Lufthansa Systems, zooplus, and Danske Bank. Infosys has enabled GCCs’ setup to operational readiness, embedding AI-led transformation through production-grade agents and a unified platform ecosystem.

AI-first GCCs unify technology, talent, and transformation capabilities to convert these centres into scalable innovation engines supporting global mandates, the company mentioned in its release.

Infosys is not alone in this AI-driven GCCs’ race.

LTIMindtree has also launched its GCC-as-a-Service model, helping enterprises leverage AI and next-generation capabilities to build global innovation hubs.

EY has its AI-powered intelligent GCC solution suite, offering tools to design AI-native centres, overhaul value chains with autonomous intelligence, build an AI-fluent workforce, and embed responsible AI governance.

From Old to New

IBM, which has helped multinational corporations set up and scale GCCs in India for over seven years, carries a unique lens on this transformation.

“We started looking at how we enable our talent to become assisted talent with an augmented channel,” said Santhosh Rao, partner and executive director for India-South Asia at IBM and GCC business unit leader.

The approach, referred to as the “+AI to AI+ journey,” integrates AI at every step of workflows — from software development and testing to operations, allowing employees to be more productive and strategic in their roles.

“We have been able to leverage AI within IBM itself, what we refer to as ‘Client Zero’,” Rao added.

At the core of this transformation is IBM’s consulting advantage platform, which embeds automation, machine learning, and generative AI into daily operations.

This platform enables all roles through SDLC (software development life cycle), i.e. assisted BA, assisted developer, assisted tester and Ops. It also continuously gets enhanced with each engagement aligning to responsible AI guardrails.

Recently, IBM helped an insurance client establish their own AI-enabled design CoE to re-imagine workflows between a payer and provider, driving productivity and improving the end-to-end workflow, enhancing both customer and employee experiences.

Rao added, “We’ve trained our talent to become more productive using this platform, effectively taking the same workforce and enabling them to deliver more.”

This methodology is particularly effective in HR, procurement, and supply chain functions. Routine workflows, such as generating reference letters or payroll processing, are now handled by AI agents, freeing employees to focus on higher-value work.

The approach also extends to complex functions where AI intersects with domain expertise, creating a new class of “assisted professionals” across banking, pharma, retail, and more.

Kapil Joshi, CEO at Quess IT Staffing told AIM that “High-density AI teams give us faster go-to-market, superior user experiences, and significantly higher productivity and scalability.” Simply put, the organisations that concentrate AI talent move faster, innovate better, and win more, he added.

The EY India GCC Pulse Survey 2025 that AIM accessed revealed that India-based GCCs are moving from experimentation to enterprise-scale adoption of AI, with 58% currently investing in Agentic AI and 83% in GenAI. The survey also found that pilot programs for GenAI have grown from 37% in 2024 to 43% in 2025.

However, as per the BCG report, only 8% of GCCs qualify as top performers, demonstrating maturity across three key strategic levers — market advantage, innovation, and enterprise efficiency.

Augmenting Talent with AI

Arindam Sen, partner and GCC sector leader, technology, media, entertainment and telecommunications at EY India, told AIM that “EY’s newly launched AI-powered intelligent GCC solution suite is fundamentally changing how GCCs are set up and scaled in India.”

Instead of relying on traditional build-operate-transfer models, organisations can now adopt what he calls a “build-orchestrate-transfer” approach, where AI becomes the operational backbone from day one.

By automating workflows, codifying knowledge, and activating operations immediately, AI reduces stabilisation timelines and accelerates readiness. Sen noted that this allows GCCs to go live much earlier without waiting for large teams, or processes to mature.

A key component of enabling AI-powered GCCs is talent upskilling.

IBM combines internal training programs with industry-academia partnerships to ensure graduates and mid-career hires are prepared for real-world challenges.

Rao said, “Every employee goes through a structured path where they gain both technical skills and industry knowledge.” This blended learning approach ensures that GCC workforces are not only AI-literate, but also capable of applying AI in practical, value-driven ways.

Sen added that the EY AI Academy offering accelerates workforce readiness through immersive, role-based learning paths and hands-on simulations, that will enable GCC talent to become AI-fluent, agent-ready and fully capable of unlocking the power of human-AI collaboration.

The outlook for India’s GCCs is promising. Rao anticipates sustained growth driven by AI adoption and the availability of skilled talent. “The centre of gravity of decision-making is shifting,” he observed.

“India’s talent is adapting, scaling, and driving innovation, what used to be a cost centre is now becoming a true value creator.”

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