
The CEO shuffle: Massive disruption prompts global hunt for agile, adaptive leadership
One clear sign of this reckoning is the sudden, sometimes opaque leadership changes at companies.
Take Procter & Gamble (P&G) and Jaguar Land Rover (JLR), both of which just announced unexpected changes at the top. At P&G, chief operating officer Shailesh Jejurikar was named as the new CEO while at JLR Adrian Mardell will step down after a controversial makeover of the brand went down badly. India, too, hasn't been immune to the need for fresh leaders. Last week, Rohit Jawa stepped down as CEO of Hindustan Unilever (HUL) after just two years in the job. Since the beginning of this year, there have been similar leadership transitions at companies ranging from DMart to Page Industries.
These moves aren't just routine corporate reshuffles, but a response to huge disruptions in the way business has been done for decades. Indeed, leadership changes at such bastions of corporate continuity like HUL suggest that business models which served well for decades may no longer suffice. And while AI and the Trump tariffs are in the spotlight, the forces at work are broader and more complex.
Look no further than developments at Tata Consultancy Services (TCS), India's largest IT services company and among the country's biggest employers, which recently announced what may be its largest layoff exercise to date. The last time a Tata Group company initiated job cuts of this scale was in the 1990s, when Tata Steel, then the conglomerate's flagship, slashed a third of its workforce under its new leader Ratan Tata. It was a move that marked a fundamental pivot away from the steel company's past and toward a tech-enabled, globally competitive model of making steel. TCS, the group's crown jewel for the last two decades, appears to be navigating a similar inflection point. The company's CEO K. Krithivasan has been quite explicit in clarifying that the shake-up is not primarily due to AI, but to seismic changes in client expectations and the global delivery landscape.
In other words, these are not reactions to short-term turbulence. They are structural responses to a market that is altering in ways even the most advanced forecasting models failed to predict.
A key element of this flux is changing consumer behaviour which has become markedly more complex, and, in many cases, more frugal. Companies such as Nestle, ITC, and HUL in India have, for over two years, cautioned about softening demand, especially in their lower-priced segments.
But while most companies still maintain that it is a blip, there is reason to believe that this may be the new normal.
India's markets, often assumed to be bottomless reservoirs of demand for multinationals, are showing signs of maturity and saturation. Maruti Suzuki chairman R.C. Bhargava recently made a striking observation, lamenting that the penetration of passenger cars in India has plateaued, despite rising income levels. Airport lounges in Delhi and Mumbai may be teeming but two traditional bellwethers of middle-class aspiration, housing and automobiles, are flashing warning lights, suggesting that consumer confidence is wavering.
Wage stagnation, an acknowledged problem for some years, is compounded by the anxiety of job losses. Thus, the layoffs at TCS signal that other IT companies will soon follow suit. Across industries, from IT to banking, the spectre of redundancy has returned, this time not as a cyclical correction but as a recalibration of the number of people actually required in the emerging AI economy. The playbook that once ensured growth is in urgent need of a rewrite and, increasingly, companies are seeking new leaders to do the writing.
In October last year, a McKinsey study on the changing face of leadership concluded that today's most effective leaders are those willing to embrace a 'generational shift". That means breaking away from hierarchical, matrixed organizations and building flatter, faster, and more agile operating models.
That, ultimately, may explain the abrupt leadership resets at many companies as they seek to reimagine leadership in a world where yesterday's business assumptions no longer hold with a fundamental transformation in consumer behaviour, cost structures, talent models, and technological change.
Only companies that accept this as a foundational shift and not a passing squall will survive and thrive. Those that don't may find that even the best CEO cannot steer a company anchored to the past.

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Economic Times
15 minutes ago
- Economic Times
US stock market today: Palantir Technologies, Axon Enterprise, Yum Brands stocks jump but S&P 500, Dow Jones, Nasdaq are down
U.S. stock market indexes are slipping Tuesday following the latest discouraging signal on the U.S. economy. The S&P 500 was down 0.5 per cent in midday trading, coming off its best day since May, which followed its worst day since May. The Dow Jones Industrial Average was down 189 points, or 0.4 per cent, and the Nasdaq composite was 0.6 per cent lower. A weaker-than-expected report on activity for U.S. businesses in the transportation, retail and other services industries added to worries that President Donald Trump's tariffs may be hurting the economy. But increased hopes for coming cuts to interest rates by the Federal Reserve, along with a stream of stronger-than-expected profit reports from U.S. companies, are helping to keep the losses in Personal Care, the company behind the Schick, Playtex and Banana Boat brands, fell 20.2 per cent after reporting lower profit and revenue for the latest quarter than analysts expected. CEO Rod Little said it was a very weak season for sun care in North America, while tariffs are acting as a drag on slipped 0.7 per cent after likewise reporting a profit that fell short of analysts' expectations. Its operating profit sank 18 per cent from a year earlier, largely due to tariffs making its manufacturing costs more kinds of companies have been telling investors how much they expect tariffs to shave off their earnings this year, and trade policy was one of the most common topics U.S. services businesses talked about in the latest monthly survey compiled by the Institute for Supply Management about their activity.'Tariffs are causing additional costs as we continue to purchase equipment and supplies,' one company in the health care and social assistance business said, for example. 'Though we need to continue with these purchases, the cost is significant enough that we are postponing other projects to accommodate these cost changes.' Another business in the real estate, rental and leasing industry told the institute that economic 'uncertainty remains the dominant theme. However, the tariff talk has turned out to be much more bluster than actual policy, and businesses have seemed to tune out the noise.'Even the threat of tariffs isn't seeming to slow the juggernaut of investment flowing into artificial-intelligence Technologies jumped 7.9 per cent after the provider of AI platforms reported a stronger profit for the latest quarter than analysts expected. The AI darling also raised its forecast for revenue over the full year, and its stock climbed further after it had already doubled for the year so far coming into the day.'We continue to see the astonishing impact of AI leverage,' CEO Alex Karp said. Axon Enterprise leaped 15.1 per cent after the company, which sells Tasers, body cameras and software to public safety departments, reported a much stronger profit than analysts expected. It also cited growth in its AI offerings, which can save time for transcriptions and other tasks, and raised its forecast for revenue this year. On the losing side of Wall Street was American Eagle Outfitters, which dropped 9.8 per cent to give back some of its 23.6 per cent jump from the day before. That's when Trump weighed in on the debate surrounding the retailer's advertisements, which highlight actor Sydney Sweeney's great critics thought the ad's reference to the blonde-haired and blue-eyed actor's 'great genes' may be extolling a narrow set of beauty standards, while Trump said that being 'WOKE is for losers.' Yum Brands fell 3.2 per cent after the company behind KFC, Taco Bell and Pizza Hut reported results for the latest quarter that came up just short of analysts' expectations. The pressure is on companies to report bigger profits after the U.S. stock market surged to record after record from a low point in April. The big rally fueled criticism that the broad market had become too stock prices to look like better bargains, either companies need to produce bigger profits, or interest rates need to fall. The latter may happen in September, when the Federal Reserve has its next meeting. Q1. How are Yum Brands stocks performing?A1. Yum Brands fell 3.2 per cent after the company behind KFC, Taco Bell and Pizza Hut reported results for the latest quarter that came up just short of analysts' expectations. Q2. How are Palantir Technologies stocks performing? A2. Palantir Technologies jumped 7.9 per cent after the provider of AI platforms reported a stronger profit for the latest quarter than analysts expected. The AI darling also raised its forecast for revenue over the full year, and its stock climbed further after it had already doubled for the year so far coming into the day.


Hindustan Times
an hour ago
- Hindustan Times
Building an inclusive and intelligent India by 2030
As India steps into the second half of the 2020s, artificial intelligence (AI) is no longer a futuristic concept—it is an active force transforming the nation's industries, governance, and daily life. By 2030, AI is expected to evolve from a technological add-on into a foundational infrastructure—akin to roads, electricity, or Aadhaar—that enables inclusion, innovation, and intelligent growth. AI (Getty Images/iStockphoto) Far from being confined to the realm of coders and tech giants, AI in India is rapidly becoming a platform for national transformation. It is being designed not just to automate but to empower; not merely to replace jobs but to create livelihoods; not to replicate Silicon Valley, but to respond to India's own socio-economic realities. A defining feature of India's AI journey by 2030 will be its treatment of AI as a public good. Moving beyond the private sector, AI will become embedded in governance, education, healthcare, agriculture, and public services. It will underpin everything from rural banking systems to disease surveillance, school curriculums to municipal operations. Crucially, AI in India is being tailored to work under constraints—low data bandwidth, limited digital literacy, and linguistic diversity. In contrast to many Western economies, where AI often serves as a tool for efficiency and profit maximisation, in India it serves necessity. Whether it is making rural education accessible or ensuring public distribution systems reach the last mile, the use cases are urgent, human-centric, and deeply local. India's demographic structure offers it an unparalleled advantage. With a median age under 30, the country has the largest youth population capable of adapting to, and shaping, the AI revolution. By 2030, AI fluency will become as commonplace as knowledge of Microsoft Office—expected across roles and sectors, not just among programmers. This evolution in skillsets will be supported by the integration of AI literacy into school and university curriculums. Modular, localised learning kits and state-level upskilling programmes are already being developed, particularly targeting rural and underserved communities. The aim is to ensure that every student in India graduates AI-aware—capable not only of using AI tools but of thinking critically about them. One of the most persistent myths surrounding AI is that it will lead to mass unemployment. However, projections for India challenge this narrative robustly. Rather than erasing jobs, AI is expected to catalyse the creation of 7 to 10 million new roles by 2030, many of which will be in sectors not traditionally associated with technology—media, agriculture, education, logistics, and public administration. For every job that is automated, estimates suggest 2 to 3 new human-machine collaboration roles will emerge. These include positions like AI-assisted journalists, agri-tech advisors, AI social workers, and prompt designers. Notably, many of these roles are expected to take root in non-urban India, thereby decentralising the benefits of the AI economy. By eliminating repetition, reducing inefficiency, and enhancing decision-making, AI allows human workers to focus on creativity, empathy, and leadership—qualities that remain uniquely human. India's vast and varied population generates an unparalleled volume of real-world data—linguistic, visual, behavioural, and situational. This data richness positions India to build AI that is more robust, generalisable, and adaptable than many western models. From non-English voice processing to energy-efficient AI models that run on low-end devices, innovations in India are deeply contextual. These developments are not about technological prestige, but about relevance and reach—bringing AI to the remote village, the overburdened classroom, and the underfunded clinic. By 2030, AI is expected to be integral not just to policy formulation but also to policy execution. Its role will extend to predicting disease outbreaks, optimising food and medicine distribution systems, streamlining public grievance redressal mechanisms, and improving disaster response strategies. The future of AI in India will be treated the way we treat roads, electricity, and Aadhaar as public infrastructure for inclusion and empowerment. And VolkAI is already building for that future. From deploying low-data AI models that work in remote villages, to enabling non-English voice processing for rural India — VolkAI is not chasing Silicon Valley. It is decoding India. In essence, AI will become a silent but powerful partner in India's effort to build a more responsive, efficient, and transparent state. The potential for decentralised, real-time governance powered by ethical AI systems is immense, particularly in regions where traditional infrastructure and manpower are stretched thin. India is also poised to become a global exporter of ethical, inclusive, and energy-efficient AI systems. As conversations around algorithmic bias, surveillance, and inequality dominate global AI discourse, India's model—centred on fairness, accessibility, and multilingual capabilities—will offer a compelling alternative. There is growing recognition that the global South requires AI solutions that are not only technologically sound but also socially rooted. By addressing the needs of developing nations, India can position itself as a responsible AI innovator—balancing innovation with equity. By the end of this decade, the most significant AI breakthroughs may not come from Silicon Valley but from unexpected corners of India—a classroom in Bihar, a municipal centre in Bhopal, a startup in Guwahati, or a sugarcane farm in Maharashtra. India's approach to AI is not about racing to the top of global leaderboards. It is about defining the future of AI in a way that aligns with democratic values, pluralism, and developmental goals. It is about creating a version of AI that serves people—not just profits. As the nation looks toward 2030, one thing is clear: India will not merely adapt to the age of artificial intelligence. It will help define what that age should look like—ethical, inclusive, locally relevant, and globally impactful. This article is authored by Santosh Kushwaha, CEO, VolkAI.


Business Standard
an hour ago
- Business Standard
Wyser launches AgentikX, India's first-ever Agentic AI Investment Initiative for Enterprise B2B Startups through its maiden fund
PRNewswire Bangalore (Karnataka) [India], August 5: Wyser announces AgentikX, India's first Agentic AI investment initiative designed to identify, develop and invest in startups disrupting the enterprise landscape. Bold and innovative founders solving customer validated problems can apply effective August 5, 2025, with top 10 startups selected for specialized 5-day AgentikX Primer, intended to accelerate Go To Market strategy. AgentikX Primer focuses on Enterprise Agentic AI startups validating and deepening their understanding of industry white spaces, through direct interaction with CXOs/AI Heads across India and globally. "Wyser was born from a simple conviction: India can design and build cutting-edge Agentic AI products for the world. We back founders who are disrupting legacy systems and reimagining how enterprises operate," says Satyakam Mohanty, Co-Founder and Managing Partner at Wyser. "We built Wyser to provide catalytic capital to founders building in Enterprise Agentic AI. AgentikX is more than funding, it is the platform to provide foresight, friction and fuel and is a call to action for India to lead, bet early, bet bold and bet together," says Supria Dhanda, Co-Founder and Managing Partner at Wyser. Applications to the AgentikX Primer will close by August 15, 2025. Successful graduates will have the opportunity to pitch to Wyser for investment consideration. About Wyser Wyser is a VC firm that invests in Agentic AI companies poised to transform enterprises, leveraging India's AI talent and tech startup ecosystem for global impact. Led by experienced operators Satyakam Mohanty and Supria Dhanda, Wyser focuses on pre-seed to seed-stage startups developing autonomous adaptive systems for enterprise/B2B space. With a target corpus of $25 million, the fund will focus on pre-seed to seed-stage startups developing Agentic AI solutions across various industries. Wyser's investment strategy targets the evolution from AI 1.0 (static) to AI 2.0 (adaptive) for enterprises transforming to enterprise 5.0. This shift represents a significant opportunity, with Agentic AI expected to contribute $17.1 trillion to the global GDP by 2030. The firm will invest in 20-23 Enterprise Agentic AI companies, with investments ranging from $150,000 to $500,000 per startup, emphasizing a product/platform-first approach. Wyser's portfolio already includes investments in startups like AquaAirX and Pype, with a strong pipeline that validates the groundswell of Agentic interventions coming out of the Indian startup ecosystem Media Contact: Supria Dhanda Co-Founder & Managing Partner supria@ Photo: