How Tim Cook's strategic brilliance redefined Apple beyond Steve Jobs era

How Tim Cook's strategic brilliance redefined Apple beyond Steve Jobs era



Tim Cook stepped up to the role of Apple CEO in August 2011, when its market value stood at a modest $350 billion.

 


Silicon Valley observers generally expressed skepticism, questioning whether a supply-chain executive could fill the shoes of the legendary Steve Jobs. Now, as he prepares to transition to the role of executive chairman this September, that question seems to have been answered decisively, with the company’s market value soaring close to $4 trillion.

 


Over the past 15 years, Cook has transformed Apple from a premium electronics maker into a global economic institution. This transformation can be attributed to his operational discipline, market pragmatism, and geopolitical engagement. While his strategy as chief executive looked beyond products and operations, he stayed deeply rooted in what Apple stood for.

 


The foundation: Inventory discipline as strategy


Cook’s strategic imprint predates his tenure as chief executive. When he joined Apple in 1998, the company faced financial strain, holding over $400 million in unsold inventory. While Steve Jobs focused on product design, Cook focused on inventory efficiency and streamlining the supply chain.

 


He introduced an approach that treated hardware components as perishable. In his view, each day in storage reduced their value due to rapid technological change. By 1999, Apple had reduced its inventory from 31 days to roughly two days. This just-in-time model improved efficiency and strengthened supply chain control.


Parallelly, he deployed Apple’s cash reserves to secure components in advance, including over a billion dollar investment in flash memory in 2005 to ensure Apple had priority access to critical parts. This approach enabled the timely launch of products such as the iPod Nano and, later, the iPhone, while competitors faced shortages.

 


He also introduced the asset-light model with products designed in California but manufactured elsewhere. This became a template for large technology firms and works successfully to date. By the time Cook became chief executive, the operational framework was already in place.


Products: New approach


Jobs was a product person who believed he knew what consumers wanted before they did, but Cook was different – he leaned more on data and market trends.

 


In 2014, Cook made the pivotal decision to launch the iPhone 6 and 6 Plus, finally embracing the big screen trend that Jobs had famously mocked. He repeated this pattern with the iPad mini and the Apple Pencil. By framing the Pencil as a high-precision creative tool for designers rather than a navigational stylus, he bypassed Jobs’ previous criticisms. These moves signalled a fundamental shift towards scalability and market alignment.

 


New product categories introduced by Cook


  • Apple Watch series: Introduced in 2014

  • Apple AirPods: Introduced in 2016

  • Apple AirTags: Introduced in 2021

  • Apple Vision Pro: Introduced in 2023


Proud of the Apple Watch


While technical analysts often point to Apple Silicon as Cook’s most important achievement — freeing the Mac from Intel and creating massive performance-per-watt with barely any competition — Cook himself names the Apple Watch as his proudest work.

 


To Cook, the Watch represents Apple’s shift from a toolmaker to a lifesaver. By integrating features like ECGs, fall detection, and heart-rate monitoring, the Watch moved Apple into the health-tech space.


“I remember getting the very first Apple Watch note from a user who told me that the watch saved their life,” Cook said, according to a news report from Bloomberg. “Now, of course, I get these on a daily basis, but that first one hit me particularly hard. It caused me to just stop in my steps.”


Regrets Apple Maps mistake


Despite his operational brilliance, Cook’s early CEO years were marred by what he describes as his greatest regret: the 2012 launch of Apple Maps. Intended to break Apple’s reliance on Google, the initial release was a disaster of “melting” bridges, misplaced landmarks, and directions that led users into the paths unknown.


Services pivot: Cook’s brainchild


In 2016, Cook identified slowing growth in the global smartphone market. In response, Apple expanded its focus from hardware sales to services.

 


The company began emphasising its active installed base, treating each device as an entry point into a broader ecosystem. Services such as Apple Music, iCloud, Apple Pay, and Apple TV+ were expanded to generate recurring revenue.


This transition altered Apple’s financial profile. While hardware margins remain lower and cyclical, the services segment generates over $100 billion annually with higher margins. This shift influenced investor perception, with Apple increasingly viewed as a platform-based company rather than a hardware manufacturer.


Silicon control and the AI challenge


Under Cook, Apple also advanced vertical integration through its in-house chip development. Moving away from Intel, the company developed its own A-series and M-series processors, improving performance, efficiency, and cost control.

 


This strategy strengthened Apple’s position across devices, allowing tighter integration between hardware and software. However, the company has faced challenges in artificial intelligence.

 


While competitors such as Microsoft, Google, and OpenAI established an early lead in generative AI, Apple has taken a measured approach. Its “Apple Intelligence” initiative reflects a focus on privacy-centric AI deployment, though critics view the company as lagging in this area.


Setbacks


Cook’s tenure has included setbacks, including the discontinuation of the automotive project known as Project Titan and slower-than-expected adoption of devices such as the Vision Pro. However, his strategy has prioritised continuity over singular product breakthroughs.


Supply chain diversification


Amid rising geopolitical tensions in the 2020s, Apple sought to reduce its dependence on China. Cook led a diversification strategy centred on India.

 


Working with partners such as the Tata Group and Foxconn, Apple expanded manufacturing capacity in the country. By 2025, around a quarter of global iPhone production, including flagship models, was based in India.


This shift addressed both operational and geopolitical risks. India evolved from a secondary market into a key manufacturing and development hub within Apple’s global network.

 


Now, as leadership transitions to John Ternus, Apple enters its next phase with a structure designed for long-term stability.



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Samsung flags possible losses in phone business on rising memory costs

Samsung flags possible losses in phone business on rising memory costs



Samsung may report losses in its smartphone business for the first time, as rising DRAM and NAND prices sharply increase production costs despite steady demand for flagship models. 


According to an Ars Technica report citing Korea’s Money Today, Samsung MX (mobile experience) head TM Roh has warned the company’s leadership that the division could record losses on smartphone sales. The company has historically remained profitable in smartphones even during periods of economic stress and the pandemic, but the surge in memory costs could reverse that trend. 


This pressure is expected despite strong sales of the Galaxy S26 series.


Memory costs reshape smartphone economics


Traditionally, the most expensive component in a smartphone has been the application processor, followed by the display. However, rising memory prices are changing that structure. 

 


According to Counterpoint Research data cited in the report, memory could account for more than one-third of the cost of building a budget smartphone by mid-2026. In premium devices, memory may still make up around 20 per cent of total costs. 


Why memory supply remains tight


The surge in memory prices is linked to a broader global shortage of DRAM and NAND chips.


 
According to Nikkei Asia, supply is likely to remain constrained until around 2027. Even with planned capacity expansions, global DRAM production may meet only about 60 per cent of demand, with shortages of up to 40 per cent in some scenarios. 


A key factor behind this imbalance is the shift towards high-bandwidth memory (HBM), which is used in artificial intelligence infrastructure and offers higher margins. This has diverted manufacturing capacity away from standard memory used in smartphones and PCs. 


At the same time, new fabrication facilities will take time to reach full output, further delaying supply recovery. 


Memory prices in early 2026 are estimated to be up about 90 per cent quarter-on-quarter, significantly increasing costs for device makers.


Smartphone prices already rising


The impact of higher component costs is already visible in retail pricing. 


Smartphone brands have begun raising prices after launch, a practice that was earlier uncommon. Devices now cost about Rs 2,000 to Rs 3,500 more within months of release in several cases. 
For instance, Samsung’s Galaxy M36 5G, launched at Rs 17,499, is now priced at Rs 20,999. Similar increases are visible across brands. The OnePlus 15R has risen from Rs 47,999 to Rs 50,499, while the Vivo V70 has moved from Rs 45,999 to Rs 49,999. The Nothing Phone 3a Lite base variant has increased from Rs 20,999 to Rs 21,999. 


New launches are also seeing higher starting prices. Samsung’s Galaxy A56 launched at Rs 41,999 and the Galaxy A36 at Rs 32,999. Their successors, the Galaxy A57 and Galaxy A37, now start at Rs 56,999 and Rs 41,999, respectively. 


These increases, despite largely incremental upgrades, show how rising memory costs are being passed on to consumers.


What to expect


In the near term, pricing pressure is unlikely to ease. 


With memory supply expected to remain tight until at least 2027, smartphone makers may continue to face higher costs, even as they raise prices. For Samsung, this could mean sustained pressure on margins in its mobile business, even as its semiconductor arm benefits from the same trend.



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Frequent Windows update-led shutdowns set to reduce soon: What's changing

Frequent Windows update-led shutdowns set to reduce soon: What's changing



Microsoft has announced a set of changes to improve how updates are delivered on Windows PCs, focusing mainly on giving users more control and reducing unexpected disruptions. The update experience now includes options like shutting down or restarting devices without forcing updates, extended pause controls and clearer update details. According to the company, these updates have been shaped by user feedback, adding that it reviewed thousands of responses before implementing the changes. There are the update noted in the Windows blog:


More control over updates


According to the blog, one of the key changes is the flexibility over when updates take place. During the initial setup of a new device, users now have the option to skip updates and go straight to the desktop, choosing to install them later. The company said that if updates are skipped, the latest features and security fixes will not be available until they are installed. With this option built into the setup process, users can decide when to update their device. 

 


Windows is also expanding its pause feature. Users can now pause updates for up to 35 days using a calendar-based system and extend that pause multiple times if needed. The company noted that it may make it easier for users to avoid updates during busy periods like travel or work deadlines. In the blog, the company noted that if 35 days is not enough, users can now extend the pause repeatedly. Updates can be paused again for up to 35 days each time, with no limit on how often the pause can be reset. 


Another key tweak is in the Power menu. Restart and shutdown options are now clearly separated from update actions. This means users can turn off or restart their PC without being forced into installing updates at that moment, while update-specific options remain available separately. 


Additionally, Microsoft is adding clearer information about updates. For example, driver updates will now show categories like audio, display, or battery, helping users better understand what is being installed.


Fewer disruptions and restarts


In the blog, Microsoft mentioned that many users face issues when their computer asks for updates right as they start using it, especially when this happens multiple times in a month. To address this, Microsoft is now combining different types of updates to reduce how often a system needs to restart. Driver, .NET, and firmware updates will be aligned with the regular monthly update, so most users will see fewer reboots.  

These monthly updates include security fixes, urgent patches, and optional updates if users choose to install them. While some early testers may still get updates more frequently, most regular users will now see updates grouped together in one “Available updates” section in settings, making them easier to manage. 


 
All pending updates will also appear under a single “Available updates” section in settings, making convenient to manage everything in one place.



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Google strengthens AI push with  billion investment in Anthropic

Google strengthens AI push with $40 billion investment in Anthropic



Google-parent Alphabet will invest up to $40 billion in Anthropic, as the tech giant deepens its partnership with the artificial intelligence startup that is also its rival in the global AI race.

 


Anthropic said on Friday that Google has committed $10 billion now in cash at a valuation of $350 billion to help support a major expansion of its computing capacity, and will invest $30 billion more if the Claude maker meets performance targets.

 


The investment comes just days after e-commerce giant Amazon said itwill invest up to $25 billion in the startup, which has managed to stand out in the crowded AI industry by focusing its model training on coding.

 
 


Anthropic’s Claude Code tool has gained strong traction among developers. The company’s annual run-rate revenue surpassed $30 billion this month, up from about $9 billion at the end of 2025.

 


The startup raised $30 billion in a funding round in February that valued it at $380 billion post-money amid massive investor interest, and has drawn offers from venture capital firms valuing it at as much as $800 billion, according to media reports.

 


Hunt for computing power

 


Strong demand for its Claude family of AI models has prompted Anthropic to sign several major deals recently to acquire more computing capacity.

 


Earlier this month, it struck multi-year deals with chipmaker Broadcom and cloud infrastructure firm CoreWeave, and is also set to secure nearly 1 gigawatt of capacity via Amazon’s chips by year-end.

 


Last year, Anthropic had said it would invest $50 billion to build data centers in the U.S. to secure infrastructure to deploy and train its models.

 


Earlier this year, series of plugin releases for Anthropic’s Cowork agent sparked a brutal selloff in global software stocks as investors weighed the disruptive potential of sophisticated AI tools.

 



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Indian IT faces AI reset: Top-5 firms post mixed FY26 amid macro headwinds

Indian IT faces AI reset: Top-5 firms post mixed FY26 amid macro headwinds



India’s top five IT majors — TCS, Infosys, HCLTech, Wipro, and Tech Mahindra — closed FY26 at a critical inflection point, navigating a structural reset driven by macroeconomic headwinds, West Asian geopolitical risks, and the dual-edged sword of Artificial Intelligence (AI).


Earnings analyses reveal a sector transitioning rapidly away from traditional effort-based delivery. AI-driven productivity is causing revenue deflation in legacy services. However, this near-term compression is being offset by a multi-billion-dollar surge in new AI-native engagements, prompting a decisive shift in client priorities from sheer scale to modular, outcome-driven contracts.


This paradigm shift is starkly reflected in mixed FY27 outlooks and evolving talent metrics. While TCS and Infosys signalled that the worst macro headwinds are receding, peers like HCLTech and Wipro flagged continued volatility and soft discretionary spending.

 


“AI may cause about 2-3 per cent annual deflation in traditional IT services revenues for the next couple of years. Indian IT services could see an incremental AI-led TAM of USD 300-400 billion by 2030,” says a report by ICICI Direct.


The country’s largest IT services firm reported a 12.22 per cent jump in its March quarter net profit to Rs 13,718 crore. Its revenue from operations for Q4 jumped 9.64 per cent to Rs 70,698 crore. For the full fiscal year 2025-26, profit after tax increased 1.35 per cent to Rs 49,210 crore, while revenue grew 4.58 per cent to Rs 2.67 lakh crore.


TCS noted that the company is entering the new fiscal year with positive momentum, asserting that the bulk of recent headwinds are mostly behind them. Its annualised AI services revenue crossed USD 2.3 billion, which is over 6 per cent of its overall revenue.


TCS CEO K Krithivasan said TCS is entering the new fiscal year with positive momentum on the back of new deal signings and asserted that a bulk of the headwinds it had experienced in the recent past are mostly behind.


Krithivasan said the impact of the West Asia crisis will be limited to the challenges faced by clients in the travel and transportation segment and those based in the Gulf region.


Infosys reported a 20.8 per cent rise in consolidated net profit to Rs 8,501 crore in the January-March quarter, while revenue from operations increased 13.4 per cent to Rs 46,402 crore.


For the full FY26, net profit climbed 10.20 per cent to Rs 29,440 crore, and revenue rose 9.6 per cent to Rs 178,650 crore.


The management acknowledged that AI is beginning to cannibalise traditional IT services but noted that this deflation is being offset by a surge in new AI-driven services.


“With the Iran war, there was a change in the economic environment, but there seem to be paths towards things stabilising. What we understand (through) talking to people in the market and the clients is that the underlying resilience of some of the economies where we have big markets is pretty good. The economies are doing well. There are good investments. AI is growing well,” Infosys CEO Salil Parekh said.


HCLTech reported a 4.2 per cent year-on-year rise in consolidated net profit to Rs 4,488 crore in Q4 FY26, with revenue rising 12.34 per cent to Rs 33,981 crore. For the full fiscal year, the company recorded a net profit of Rs 16,642 crore (a 4.30 per cent decline) and a revenue of Rs 130,144 crore (an 11.18 per cent climb).


The management flagged a highly volatile demand environment shadowed by tariffs and softened discretionary spending, giving FY27 growth guidance of 1-4 per cent in constant currency. The company noted that AI is causing a deflation of 2-3 per cent per year in traditional segments, though its Advanced AI revenue reached USD 155 million in Q4.


HCLTech CEO C Vijayakumar termed the year as one of an uncertain demand environment.


“During the quarter, our performance came below our expectations due to softness in certain parts of our business, due to lower discretionary spend and delayed decision-making.


“Our new AI-led service offerings are getting traction in the market and are reflected in annualised Advanced AI revenues crossing USD 620 million in Q4. Our #1 priority in FY27 is to ensure the company is positioned right to take advantage of AI opportunities for multi-decade value creation,” he said.


On the prolonged West Asia crisis that affected many global businesses, HCLTech said the company’s exposure to the Middle East is very limited, with the region contributing only about 1 per cent to the revenues.


Wipro reported a consolidated net profit of Rs 3,501.8 crore for the March quarter, down 1.89 per cent year-on-year, while revenue rose 7.6 per cent to Rs 24,236.3 crore. For the full FY26, net profit saw a marginal 0.47 per cent increase to Rs 13,197.4 crore, with revenue standing at Rs 92,624 crore.


The firm described the current macroeconomic environment as the “new normal”, marked by geopolitical and policy disruptions. The company’s board also approved a mega Rs 15,000 crore share repurchase programme.


Tech Mahindra reported a 16 per cent growth in consolidated net profit to Rs 1,353.8 crore for Q4 FY26, with revenue rising 12.6 per cent to Rs 15,076.1 crore. For the full fiscal year, profit climbed 13.15 per cent to Rs 4,810.9 crore, and revenue increased 7.2 per cent to Rs 56,815.4 crore.


The company’s top officials dismissed concerns that the rapid integration of AI is leading to revenue deflation, stating they see AI as a huge opportunity from a medium- to long-term perspective to drive client modernisation.



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Meta, Microsoft have joined tech layoff tsunami, but is AI really to blame?

Meta, Microsoft have joined tech layoff tsunami, but is AI really to blame?


Meta and Microsoft are the latest software companies to announce big cuts to their global workforce. Both companies are also making big investments in artificial intelligence (AI).


The link seems obvious. Meta’s chief people officer, Janelle Gale, said the job cuts – about 10% of staff or almost 8,000 workers – serve to “offset the other investments we’re making”. Meta boss Mark Zuckerberg has previously spoken about a “major AI acceleration” with spending in excess of US$115bn planned this year.


Microsoft is also betting big on AI. The company also just announced early retirement packages for about 7% of its US workforce.

 


The two tech giants join Atlassian, Block, WiseTech Global and Oracle, who have all made similar announcements this year, each evoking AI without outright blaming it.


What is happening here? How we understand these layoffs depends on what we think AI is, and what implications it will have. Broadly speaking, there are three ways of looking at it: that AI is superintelligence, that it’s mostly hype, and that it’s a useful tool.


The end of white-collar work?


In the first view, AI is emerging superintelligence. It is a new kind of mind, that learns, reasons, and will soon outperform humans at most cognitive tasks (hint: it’s not!).


The job losses are not just a corporate restructuring. They are an early tremor of something seismic.


In February 2026, AI entrepreneur Matt Shumer put this view vividly – comparing the current moment to the strange, quiet weeks before COVID-19 broke into global consciousness. Most people, he argued, haven’t yet realised we are facing an “intelligence explosion”.


The essay drew significant criticism. Commentators noted it contained little hard data and read at times like a pitch for Shumer’s company’s own AI products.


But it captured a genuine anxiety. Something real is happening in software engineering, at least, where tasks are well-defined and success is easy to verify.


But the leap to “all white-collar work will be automated” is a big one. The view that AI is a kind of universal mind that learns and improves itself is far-fetched.


And most professional work is far messier than coding: ambiguous briefs, competing stakeholder interests, outputs that are hard to verify, and shifting success criteria. Coding may be a canary in the coal mine, but coal mines and boardrooms are very different places. 


Are tech companies winding back hiring sprees?


The second view sees the conversation around AI as mostly hype. AI is being invoked as cover. Companies that hired aggressively during the pandemic boom, and now face financial pressure, are blaming AI as the more palatable explanation.


OpenAI CEO Sam Altman called this dynamic “AI washing”: companies blaming AI for layoffs they would have made regardless.


For example, Meta announced in March it would shut down its Metaverse platform Horizon World by June. Reality Labs, the division developing the technology, employed 15,000 people as of January 2026.


We don’t know in detail the make-up of the present job cuts, so Meta may just be repackaging earlier failiures as AI-driven productivity gains.


Another cynical reading suggests that laying off workers in the name of AI is a way to drive up stock prices. When Block invoked AI and cut nearly 4,000 roles, its stock jumped the following day.


Announce AI-driven layoffs and you may find investors reward you for being future-focused. It is a historically familiar trick: technology has repeatedly served as convenient cover for financial restructuring.


Are layoffs a way to make staff use AI?


The third view is more nuanced. It sees AI as a powerful tool, but one that companies will need to transform themselves to take advantage of.


This has implications for what jobs are needed and in what quantities. We think this view has the most merit.


On this reading, the tech leaders believe AI will change how software gets built. But they don’t know exactly how.


So they do what tech companies often do when faced with uncertainty: they create pressure. They cut headcount staff, expect those remaining to produce just as much as before, and force teams to find ways to meet those expectations using AI.


It’s not a bet that AI will do everything, but that the pressure will force humans to work out how to use AI to increase productivity.


This also lines up with industry experience. For example, Google chief executive Sundar Pichai claims a 10% increase in engineering speed from AI adoption across the company. This could tally with cuts of around 7-10% of total workforce for most of the mentioned companies.


What this means for knowledge workers


These three views are often presented as mutually exclusive. In practice, all three expectations exist simultaneously. The honest answer to “what is really happening here” is probably “a bit of everything”.


What is true is that software development tends to be an early indicator of broader shifts in knowledge work. Productivity benefits from AI are real for those who adopt it. Yet adoption is unevenly distributed, and lags in less technical industries.


In this context, the ability to understand AI and make good decisions about how and where to use it is becoming a baseline professional skill.


The workers most at risk are not necessarily those whose tasks can be replicated by AI. They are those who wait for pressure to arrive from outside rather than getting ahead of it now.


We will have answers to the question of whether AI is mostly hype or a useful tool in the next few years.


If Meta, Microsoft, and their peers rehire staff with different skills, redesign workflows, and emerge genuinely more capable, the case for useful AI looks good. If they simply pocket the payroll savings, the cynics were right.


If you want to know where tech companies are going, don’t look at what they cut – watch what they hire.



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