HAVING already turned India's mobile market upside down, Asia's richest man Mukesh Ambani has now set his sights on broadband.
In 2016 Ambani's Jio network entered the mobile telecoms market with free calls and ultra-cheap data, triggering a brutal price war and making Indian mobile data reportedly the cheapest in the world.
JioFiber, launched on Thursday (5), offers a minimum internet speed of 100 megabits per second (Mbps) from Rs 699 ($9.75) per month, around 35 to 45 per cent lower than rivals, according to Indian media, going up to one gigabit per second.
"Currently, the average fixed-line broadband speed in India is 25 Mbps. Even in America, which is the most developed economy, it is around 90 Mbps," Ambani's Reliance Jio firm said.
Ambani, the world's 13th richest person according to Forbes with a fortune of $50 billion, has also announced that customers will be able to watch films in their living rooms the day they come out in cinemas, irking film distributors.
In India, video-on-demand growth is explosive, according to researcher Boston Consulting Group which predicts the market could leap to $5 billion by 2023 from $500 million last year, according to Bloomberg.
Mukesh Ambani is also currently engaged in fierce competition with Amazon and Walmart in an ongoing race to dominate India's e-commerce market.
London vacancies up 9 per cent in Q3 2025, with fintech roles already surpassing all of 2024’s recruitment.
AI positions offer salaries 20 per cent higher than non-AI roles, reflecting fierce competition for skilled professionals.
Near-shoring boosts junior roles in Belfast and Glasgow, but London dominates senior, strategic appointments.
Jobs soar
Artificial intelligence and financial technology are driving job growth in London’s financial sector, with vacancies up 9 per cent year-on-year in Q3 2025, according to Morgan McKinley’s latest Employment Monitor.
Mark Astbury, director at Morgan Mckinley , noted that fintech roles have proved particularly resilient, with companies advertising 6,425 positions already exceeding the entirety of 2024’s recruitment activity. Banks, consumer finance organisations, and ambitious startups are prioritising senior and strategic appointments, particularly in AI strategy, corporate finance, and technology leadership roles.
The rebound represents a marked reversal from Q2 2025, when trade tariff uncertainties prompted hiring freezes. Employers have now resumed delayed recruitment efforts, though the forthcoming UK Autumn Budget in November may yet influence hiring trajectories.
Notably, near-shoring trends are emerging, with regions including Belfast and Glasgow capturing junior-level roles. London, however, retains its stranglehold on high-value, strategic positions. Much now depends on the Autumn Budget and whether it reassures employers or adds further cost pressures that will set the tone for hiring into early 2026.
AI and tech talent
Forbes Advisor research reveals that 79 per cent of UK workers use generative AI at work, while 85 per cent are aware of AI language models like ChatGPT. However, 59 per cent of Brits express concerns about AI, with primary worries including skill loss, job displacement, privacy issues, and autonomous decision-making without human oversight.
The surge underscores London’s position as the United Kingdom’s preeminent hub for technology-driven financial services. Greater London now hosts 1,387 AI-focused enterprises, including heavyweight firms DeepMind and BenevolentAI, making the capital an irresistible draw for major financial institutions, fintech pioneers, and specialist tech firms seeking talent.
The labour market shift reflects wider structural changes within financial services. Automation is dampening demand for graduate and administrative roles, while AI-related positions command salaries approximately 20 per cent higher than comparable non-AI posts a premium reflecting intense competition for skilled professionals.
Investment underpins this expansion. The Government has committed £2.3 billion to AI initiatives since 2014, while companies increasingly deploy generative models and computer vision technologies to streamline operations, strengthen compliance, and innovate service delivery.
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