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US-based artificial intelligence firm Luma AI has secured a $900 million Series C funding round led by Saudi-backed HUMAIN, the AI venture owned by the kingdom’s sovereign wealth fund, the Public Investment Fund. Participation also came from AMD Ventures and existing investors including Andreessen Horowitz, Amplify Partners and Matrix Partners. The funding is part of a broader strategy to advance multimodal artificial general intelligence capable of generating, interpreting and interacting with the physical world.

Luma AI’s valuation following the round is estimated at over $4 billion, underscoring the intense competition among frontier AI firms. The company specialises in “world models” that integrate video, audio, image and language to drive applications in robotics, simulation, advertising, gaming and personalised education. CEO Amit Jain described the aim as training systems on “a quadrillion tokens” of multimedia data to move beyond current large-language-model architectures.

HUMAIN, having positioned itself as a global full-stack AI player, will use the funding partnership to anchor its compute infrastructure ambitions. The joint roadmap includes the rollout of what HUMAIN terms “Project Halo” — a super-cluster targeting up to 2 gigawatts of AI compute capacity in the kingdom. Luma AI will become a key customer of this infrastructure.

The funding and infrastructure build-out reflect a strategic shift in Saudi Arabia’s economic diversification efforts. Under the leadership of Mohammed bin Salman, the PIF is deepening commitments to AI and high-performance computing as pillars of its wider Vision 2030 agenda. Luma AI’s partnership becomes a vehicle for exportable AI capabilities and for strengthening the kingdom’s position in the global tech ecosystem.

From Luma AI’s perspective, the capital infusion and access to sovereign-scale compute represent a strategic lever to accelerate development of next-generation models. In entertainment and creative industries the company already claims traction: its Ray3 reasoning video model has been embedded within major platforms. The new funding will allow expansion into simulation, robotics and immersive media. Jain asserted that only by integrating systems and infrastructure at scale can models “understand and simulate the universe”.

For HUMAIN the deal accomplishes several objectives: securing a marquee US AI partner, anchoring compute commitments, and beginning commercial deployments of its planned AI infrastructure. The first phase of the accompanying joint venture with Cisco Systems and AMD will deliver a 100-megawatt data-centre cluster in Saudi Arabia, fully subscribed by Luma AI, with construction scheduled to begin in 2026 and renewable energy powering the facility.

The global implications are significant. With Asia, Europe, India, the Middle East and Africa identified as target markets-worth an estimated 4.5 billion people-the infrastructure build-out promises to reshape the geography of AI training and inference. HUMAIN’s model seeks to challenge the dominance of US- and China-based AI supply chains.

Challenges remain. Developing multimodal AGI is widely acknowledged as highly complex, with technical risks, high compute costs and uncertain commercial timelines. Critics highlight concerns about geopolitical dependencies in AI infrastructure and the ethical implications of deploying models trained on vast multimedia datasets. The Saudi-US dimension adds further scrutiny given strategic sensitivities around data, export controls and digital sovereignty.

Dubai-based upstream operator Dragon Oil has announced a major new oil discovery offshore Egypt’s Gulf of Suez, a development that industry watchers say could underpin its ambition to boost production significantly by 2026. The company, a unit of Emirates National Oil Company, made the find at its North-East Ramadan Concession, reaching a total depth of 13,425 feet to intersect the Crystal NER-1X reservoir in the Honey Sand formation. Initial wireline logs confirmed a 224-foot hydrocarbon column, indicating meaningful commercial potential.

The well was drilled under the company’s commitment agreement in the NE Ramadan concession in partnership with Egypt’s Egyptian General Petroleum Corporation and the Gulf of Suez Petroleum Company. The pair of state-owned Egyptian entities jointly operate with Dragon Oil in the concession. The flow to production is projected at around 3,000 barrels per day once the well is tied into existing infrastructure. Final wireline logging, core sampling and reservoir evaluation are underway before full integration into the production grid scheduled for July.

The discovery supports Dragon Oil’s longer-term plan to raise output from its current base of more than 140,000 barrels of oil per day and achieve an aggregate target of roughly 300,000 barrels of oil equivalent per day by 2026, according to the company’s investor materials. The Gulf of Suez investment follows earlier gains from assets in Turkmenistan, Iraq and Algeria. Additionally, the firm signed a strategic memorandum of understanding with PETRONAS in late October to explore upstream growth opportunities in Asia-Pacific and other frontier regions, signalling a willingness to pursue both organic and acquisition-driven expansion.

In Turkmenistan, Dragon Oil expects production to rise to approximately 200,000 bopd by 2030, leveraging digital-technology programmes such as artificial-intelligence-enabled reservoir modelling and real-time monitoring. The company has invested more than US$11 billion in the country’s oil sector since the production-sharing agreement began in 1999 and has added more than 200 social-development projects in local regions. That upstream base remains a pillar of its global growth model.

Analysts say the Egyptian find is particularly significant because it taps an under-developed offshore domain using advanced Ocean-Bottom Node seismic technology that identified the Honey Sand formation. The drilling from the existing Al-Fanar platform avoided major new infrastructure investment, improving cost efficiency and time to tie-in. The fact that Dragon Oil already holds the working interest via its GUPCO joint venture means it can fast-track upstream investment and production.

Nevertheless, a number of risks remain. The Egyptian concession still requires commercial validation of reservoir behaviour and sustained flow testing; many wells encounter initial signs of hydrocarbons but fail to deliver long-term viability. The broader upstream industry is also under increasing pressure from the energy-transition agenda and environmental-regulation developments. Investors and stakeholders will watch closely how Dragon Oil balances growth ambitions with the demands of sustainability, given the global shift away from fossil fuels.

Company leadership emphasises that the teamwork between its Dubai and Cairo operations, together with EGPC and GUPCO partners, reflects a mature technical capability that bodes well for further exploration success. Chief Executive Abdulkarim Ahmed Al Maazmi said the technical result “demonstrates the strength of our technical partnership and underlines our vision to unlock new opportunities across our assets in Egypt.”

Regionally, the Gulf of Suez has been a mature producing basin, yet the new find suggests there remains untapped potential when combined with modern subsurface imaging and drilling techniques. Some energy-sector commentators believe the discovery could encourage other operators to revisit older fields or deeper formations, heightening competition.

Global alternative asset manager KKR & Co. has inaugurated a new office within the Abu Dhabi Global Market financial district, marking a significant expansion of its Middle East footprint. The office will be led by Julian Barratt‑Due, Managing Director and Head of Middle East Investing at KKR, with David Petraeus serving as Chairman of KKR Middle East, reinforcing the firm’s commitment to the region.

KKR’s decision underscores its confidence in Abu Dhabi as a gateway for global capital targeting the Gulf region. With assets under management totalling around US$720 billion, the firm already operates hubs in Dubai’s DIFC and Riyadh and views ADGM as a strategic next step.

The Abu Dhabi office aims to enhance KKR’s capacity to serve institutional clients and invest in a range of sectors including infrastructure, technology, and alternative assets across the Gulf. The move aligns with the firm’s broader strategy of partnering for long-duration assets in the region, as evidenced by its acquisition of a minority stake in ADNOC Gas Pipeline Assets LLC and investment commitments in the data centre platform Gulf Data Hub.

Abu Dhabi’s appeal lies in its stable economic foundations, regulatory clarity via ADGM’s common-law framework, and its ambition to become a major global financial centre. ADGM emphasised that KKR’s arrival reflects the city’s expanding role in the global investment ecosystem.

From KKR’s perspective, the firm has stated that the new presence will enable closer collaboration with regional partners and enhance responsiveness to market opportunities. The leadership structure signals that KKR is aiming for a long-term, on-the-ground commitment rather than a passive regional representation.

This move comes amid a broader industry trend of asset managers shifting focus toward the Gulf region. Firms such as PGIM have previously opened offices in ADGM, responding to abundant regional capital, favourable tax regimes, and dynamic infrastructure programmes.

Investors highlight that the Gulf markets are undergoing structural transformation, driven by diversification away from hydrocarbon dependence, growth of digital economies and infrastructure modernisation. KKR’s investments in energy and data-centre platforms illustrate how global managers are aligning with those shifts.

For Abu Dhabi, the addition of a major player like KKR bolsters its ambition to attract global financial services and alternative-capital players. ADGM’s track record of rising company registrations and assets under management suggests the jurisdiction is gaining momentum.

However, experts caution that competition is intensifying: neighbouring hubs such as Dubai and Riyadh are also targeting global managers, meaning KKR and similar firms will need to demonstrate differentiated value-propositions to win deal flow and client mandates. Some analysts note that while large sovereign wealth funds in the region remain dominant allocators, attracting third-party capital remains a challenge.

Operationally, establishing a local hub brings costs, regulatory obligations and talent-acquisition hurdles. While KKR cites its established regional presence and leadership under Petraeus and Barratt-Due as advantages, execution will be scrutinised by investors seeking measurable regional capital deployment and returns.

In the context of broader global asset-management dynamics, the Gulf real-assets market offers long-term, low-yield, inflation-hedged opportunities—an appealing counterbalance to the high-rate, equity-valued portfolios that dominate Europe and North America. KKR appears to be positioning itself to capture that shift, reinforcing its global expansion strategy.

India’s workforce is entering a critical phase as artificial intelligence reshapes job markets and industry demands, with upskilling emerging as a non-negotiable necessity for both individuals and organisations. According to a recent assessment of the Asia-Pacific region, India needs to scale up its skilling efforts rapidly to avoid falling behind in the global AI marathon. A report by Asian Development Bank and Google. org warns that without accessible AI-skilling initiatives, large segments of the workforce risk being left out of the transition.

The country already boasts one of the youngest and fastest-growing workforces in the world, offering a potential advantage in the AI era. Yet the report highlights a mismatch: numerous workers in labour-intensive sectors such as textiles, manufacturing and logistics perform roles with high automation risk — for example data-entry, scheduling and support functions — and these roles are disproportionately held by women and informal workers. With AI-driven automation advancing quickly, these groups could be among the hardest hit unless targeted training interventions are introduced.

Data published by NASSCOM indicates that India’s existing AI talent pool, estimated at around 600,000 today, must expand to more than 1.2 million by 2027 to fill expected demand—implying a shortfall of more than a million skilled professionals. This gap emerges despite the country producing hundreds of thousands of engineering graduates each year. Industry trackers indicate that more than half the workforce in technology services is already undergoing training in AI, machine learning and related domains, yet skills still lag employer expectations.

Business research from Microsoft found that across Indian organisations two-thirds of employees and four-fifths of leaders are now familiar with AI agents. Within the next 12-18 months more than half of these companies will place upskilling at the top of their agenda, and more than half expect AI training to become a core team responsibility within five years. These trends confirm that industry demand is ahead of the skill supply curve.

Beyond technical expertise, new job roles are emerging. Organisations are recruiting for “AI Workflow Designers”, “Software Operators” and multi-agent system builders. The most vulnerable workers are those in roles focused on infrastructure management, manual testing, and basic coding — positions that technology is already beginning to automate. This points to an imperative for current employees to acquire cross-functional, human-centric skills such as critical thinking, adaptability and collaboration with AI.

Educational institutions and vocational training providers are responding. For example, an initiative at Andhra University in partnership with NASSCOM integrates advanced skill modules into non-engineering streams and appoints department-wise coordinators to ensure student readiness. The move reflects recognition that skilling must extend beyond traditional tech fields to arts and sciences, and must address digital literacy gaps.

Nonetheless, major structural obstacles remain. A digital divide persists: only about one in five young adults in some South Asian regions has reliable internet access at home, limiting participation in online skilling programmes. Language barriers and low digital literacy further hamper effective engagement. Informal-sector workers, who often lack formal training and social protections, face a double risk of displacement without clear pathways into higher-value work.

The informal economy accounts for a large share of India’s employment, and workers in this segment are often overlooked in skill-development policies. Analysts warn that unless training programmes are redesigned for accessibility — offering tailored formats for women re-entering the workforce, rural populations and digitally disadvantaged groups — AI adoption may deepen existing inequalities.