Mouse Trap

For nearly twenty-five years, my right hand lived under the dictatorship of a small plastic rodent. Ever since I started using a laptop in the early 2000s, the external mouse became less of an accessory and more of a prosthetic extension of my personality. I carried one everywhere with the seriousness of a surgeon transporting medical equipment. If the mouse stopped working, productivity stopped. I would stare helplessly at the laptop screen as though civilisation itself had collapsed. The cursor would sit frozen somewhere on the desktop while I performed the ancient ritual familiar to millions of people who are now in their 40s and beyond: unplugging, reconnecting, blowing imaginary dust from USB ports, replacing batteries, muttering mild abuses at technology, and questioning the moral decline of modern electronics.

Then, a few months ago, I migrated from a Windows laptop to an Apple MacBook and, almost overnight, stopped using the mouse altogether. This was not a carefully researched productivity decision inspired by Silicon Valley minimalism. It was partly convenience, partly curiosity, and partly the exhaustion of carrying chargers, adapters, dongles, cables, and a mouse that increasingly seemed like emotional baggage from another technological era.

The first few weeks were humiliating as the trackpad felt impossibly sensitive and suspiciously intelligent. My fingers moved awkwardly across the smooth surface as tourists would get lost in a foreign airport! Every gesture seemed to trigger unintended consequences. I would attempt a simple scroll and accidentally open Mission Control, launch three applications, rotate an image, zoom into microscopic text, and somehow arrive at a screen asking whether I wanted to configure developer settings for something I did not even know existed. The laptop appeared to possess psychic abilities combined with a dark sense of humour.

For someone in their south side of 40s, this discomfort carried a peculiar emotional weight. Young people experience technological incompetence casually. They tap randomly, experiment fearlessly, and assume mastery will eventually arrive. Older people experience incompetence as a threat to identity. We belong to a generation raised on the belief that adulthood means expertise, and by middle age, one is expected to know things. One manages organisations, handles finances, raises children, negotiates contracts, supervises teams, and gives life advice to younger people. Then, suddenly, a glass rectangle on a laptop defeats you because your fingers cannot perform a three-finger swipe correctly.

So naturally, the instinct is to retreat, return to the mouse, restore dignity, and re-enter familiar territory. But I persisted, partly out of stubbornness and partly because carrying the mouse now felt faintly embarrassing, like travelling with a typewriter ribbon in the age of cloud computing. Gradually, my hand learned before the brain consciously understood, and the fingers adapted. One morning, I realised I was gliding across applications effortlessly. Switching desktops, zooming, scrolling, highlighting text, navigating browsers, previewing files, and moving between workflows happened with a fluidity that felt almost elegant. The movement resembled playing an instrument and not operating machinery. And suddenly I realised that after 25-odd years, I had escaped the mouse trap!

The phrase sounds trivial until one recognises what the mouse actually symbolises for people my age. It represents an entire category of inherited habits that once made sense but now quietly reduce efficiency while masquerading as professionalism. In the early days of laptops, external mice were genuinely superior. Trackpads were terrible inventions that were tiny, unresponsive squares apparently designed by engineers conducting experiments on human frustration. Using a mouse was rational, productive, and serious. But technology evolved while our habits remained frozen in time.

Modern trackpads are astonishingly sophisticated. Yet millions of middle-aged professionals continue carrying wireless mice around with almost ceremonial devotion. Entire coffee shops are filled with grown adults performing elaborate setup procedures before beginning work: laptop out, mouse out, mousepad out, Bluetooth paired, dongle inserted, batteries checked, table space negotiated. Some carry ergonomic mice that resemble futuristic sculptures designed by Scandinavian orthopaedic surgeons. Others own travel mice, office mice, gaming mice, backup mice, and emergency spare batteries, all to avoid learning a slightly different movement of the fingers.

I realised that the mouse is not merely hardware, but more of a psychological infrastructure. People accumulate systems that once solved problems but eventually become obstacles disguised as preferences. We continue using workflows developed in another technological century because familiarity produces emotional comfort. The brain loves efficiency, but it loves predictability even more.

This explains why otherwise intelligent professionals stubbornly cling to outdated habits with almost ideological passion. One proudly announces, ‘I still do all my accounts manually in Excel.’ Another insists, ‘I need every document printed before I can read it properly.’ Someone refuses cloud storage because physical folders feel ‘safer.’ Others maintain endless email chains, paper diaries, complicated filing systems, or insist on in-person meetings for conversations that could be resolved in three messages and a shared document.

These are rarely productivity choices but are comfort rituals. The irony is that people above forty are often fully capable of adapting quickly. In fact, they frequently learn faster than younger users because they understand systems, context, and patterns better. The barrier is rarely intelligence and more of an emotional resistance to temporary incompetence. Somewhere after forty, many people unconsciously stop allowing themselves to become beginners. I know senior executives who manage budgets worth millions but cannot merge PDF files without assistance. I know academics capable of explaining complex philosophy who panic when asked to collaborate on online documents. I know entrepreneurs who built businesses from scratch but still call younger employees to ‘fix the Wi-Fi.’ These are not incapable people but are simply trapped inside technological identities formed decades ago.

The deeper issue is that modern economies increasingly reward adaptability over accumulated procedure. Knowledge now expires faster than ever, and entire industries transform within a decade. Artificial intelligence is already automating tasks that many professionals considered permanently human only a few years ago. In such a world, the most dangerous sentence after forty is not ‘I don’t know.’ It is ‘I have always done it this way.’That sentence quietly closes the future.

The strange thing is that our generation has already proven its adaptability many times over. We are perhaps the only generation that experienced analogue childhood and digital adulthood simultaneously. We used landlines, pagers, floppy disks, fax machines, CDs, USB drives, cloud storage, smartphones, and now invisible synchronisation systems operating somewhere in distant data centres we barely understand. Yet somewhere in middle age, many professionals unconsciously declare technological retirement while still expecting to remain professionally relevant for another twenty years.

What surprised me most after abandoning the mouse was not improved navigation speed, but the psychological shift that followed. Once the discomfort barrier was crossed, I became less intimidated by unfamiliar systems generally and started experimenting more freely. Keyboard shortcuts stopped feeling annoying and began feeling liberating. I approached software with curiosity instead of caution. One begins questioning inherited inefficiencies elsewhere in life, too. Do meetings really need to last an hour? Do I really need to check my email constantly? Do I really need fifty WhatsApp groups? Do I really need to preserve every professional habit developed in 2004 simply because it once worked?

Watch a child interact with new technology and understand it instinctively. There is no shame in experimentation, no fear of appearing foolish. They touch everything, fail repeatedly, laugh, retry, and eventually master the system through curiosity. Adults, especially middle-aged adults, approach new interfaces like diplomats entering hostile territory. We seek guarantees before experimentation because failure now feels reputational.

But perhaps productivity after 40 is not about optimisation at all. Perhaps it is about preserving beginnerhood. The willingness to temporarily appear incompetent may now be one of the most valuable professional skills of modern life. The transition is always awkward. During my early trackpad days, I frequently muttered at the laptop like an ageing cricket fan complaining about T20 leagues. I missed the mouse clicks, triggered accidental gestures and zoomed into absurd screen magnifications. At one point, I somehow rotated an image sideways and spent several minutes trying to restore civilisation. But adaptation has an invisible curve. Frustration suddenly became fluency, and my fingers learned what the ego resisted.

Now, when I see professionals unpacking increasingly elaborate mouse arrangements beside ultra-modern laptops, I feel less judgment and more recognition. I see a smaller version of the same human tendency that affects all of us, of carrying unnecessary tools because they once solved genuine problems. The real trap was never the mouse itself but was the assumption that long familiarity automatically equals permanent necessity. Finally, after 25 years, I finally escaped the mouse trap, and the amusing part is that the cage door had been open for years.

Digital Literacy vs Digital Confidence

The digital divide in rural India is often described as an access problem. Smartphones are becoming increasingly common, data is becoming more affordable, and women are increasingly present on digital platforms, sharing messages, watching videos, and making video calls. However, this apparent inclusion masks a deeper exclusion. When it comes to using technology for business, like sending payments, managing accounts, registering enterprises on platforms, or selling online, many rural women hesitate. The contradiction is striking as access and skills exist, but ownership and confidence do not. The real barrier to digital inclusion is not digital literacy, but digital confidence.

Consider the experience of a rural woman entrepreneur who runs a home-based food business. She owns a smartphone, uses WhatsApp comfortably, and receives digital payments from customers. Yet she avoids sending money digitally, hesitates to use business apps, and depends on a family member for anything that she thinks is ‘important.’ Her fear of ‘what if something goes wrong?’ is not about a lack of knowledge, but about a lack of trust in oneself. Across rural contexts in India, women are digitally present but not digitally empowered. While they are users of technology, but unfortunately not the decision-makers within it.

Most development programs approach this challenge through the lens of digital literacy. Literacy is usually defined as the ability to operate a phone, navigate apps, recognise icons, or complete basic digital tasks. Training programs, device distributions, and short workshops are designed to tick these boxes. Once completed, women are counted as digitally included. However, literacy does not translate into agency. Knowing how to open an app does not mean feeling confident enough to transact independently. Watching a demonstration does not prepare someone to make decisions in real situations. Literacy teaches what to do, whereas confidence determines whether one dares to do it.

Digital confidence, unlike literacy, is rarely named, measured, or funded. It refers to a person’s trust in their own ability to use technology without fear, their willingness to make mistakes, and their sense of belonging in digital spaces. This confidence is more psychological than technical, emotional rather than instructional. For rural women, digital confidence is shaped by years of social conditioning that discourages experimentation, independence, and risk-taking. Without this confidence, technology remains something to be handled carefully or delegated to others.

The reasons for low digital confidence among rural women are structural and gendered. Financial fear is a major factor, with stories of fraud, which are often exaggerated, circulating widely. A single mistake can lead to loss of money, blame from family members, or public embarrassment. Cash, by contrast, feels safe and visible as it can be counted, corrected, and recovered. In this context, avoiding digital tools becomes a rational choice rather than a sign of ignorance.

Gendered control over technology further weakens confidence. In many households, men act as informal gatekeepers of digital systems. Even when women own phones, passwords, banking apps, and registrations are often managed by husbands or sons. Over time, this creates dependence and reinforces the belief that digital decision-making is not a woman’s responsibility. What begins as ‘help’ slowly turns into exclusion.

Men are often allowed to experiment, fail, and learn, while women, especially in rural settings, are not afforded the same grace. A mistake made by a woman is quickly interpreted as evidence that she should not be engaging in business or technology at all. This low tolerance for failure discourages curiosity and reinforces caution. When the social cost of error is high for women, playing safe becomes the only viable strategy.

Design and language barriers also play a role, as many digital platforms are not built for first-generation users. Interfaces are cluttered, English-heavy, and filled with technical or financial jargon. For women with limited formal education, each unfamiliar term reinforces a sense of exclusion. Technology begins to feel alien, designed for someone else, and confidence erodes further. The consequences of low digital confidence are visible in how rural women run their enterprises. As a result, businesses remain informal, small, and dependent on intermediaries. Family members or middlemen step in to handle digital aspects, capturing control and value. Instead of reducing inequality, technology ends up reinforcing existing power structures.

Evidence from the ground suggests that when confidence is addressed, outcomes change. In India’s SHG networks, women who participate in repeated, hands-on digital practice sessions gradually begin to transact independently. Rural women entrepreneurs who learn in peer groups adopt digital tools more confidently than those trained in isolation. The turning point is rarely a new app or feature; it is the moment a woman completes a task on her own and realises she can do it again.

Building digital confidence requires a different approach. Repetition matters more than certification. One-time trainings raise awareness, but confidence grows through continued practice. Peer role models are powerful, especially when women see others from similar backgrounds navigating technology successfully. Safe spaces for failure are essential, allowing women to learn without fear of financial or social consequences. Trusted human support through community facilitators, SHGs, or NGOs provides reassurance and continuity that technology alone cannot offer.

For policymakers, donors, and practitioners, this demands a rethinking of program design. Success should not be measured by the number of women trained or devices distributed, but by independent usage, decision-making, and willingness to explore digital tools. Budgets must allow for handholding, follow-ups, and time. Behavioural change cannot be rushed, and technology should not be treated as a shortcut to empowerment.At the policy level, digital public infrastructure holds enormous promise, but only if it is designed with gendered realities in mind. Women-first user experience, local-language interfaces, and community-based support systems are essential. Digital inclusion must be understood as a question of agency, not just access. Until rural women believe that the digital world belongs to them and they are confident to click, transact, and decide, technology will remain an accessory rather than a catalyst for entrepreneurship and change. The future of rural women’s enterprise will be built not just on smartphones, but on the transformative moment when a woman says to herself, I can do this,’ and acts without fear.

Algorithmic Self

In today’s digital landscape, our identities are increasingly shaped by algorithms. These complex sets of rules and calculations determine the content we see on social media, the advertisements we encounter, and even the news we consume. This phenomenon, often referred to as the ‘algorithmic self,’ highlights the interplay between technology and personal identity. Algorithmic mechanisms on digital media are powered by social drivers, creating a feedback loop complicating the role of algorithms and existing social structures. 

At the core of the algorithmic self is the idea that our online behaviours and interactions feed into algorithms that, in turn, influence our future actions. Are we becoming the people our feeds want us to be? Scroll long enough on social media platforms like Insta, Tube, or FB and you’ll notice that the content feels uncannily tailored to you. Your feed seems to know what you crave before you do, an oddly perfect mix of travel destinations, recipes, memes, news, workouts, and political takes. This can lead to a more personalised online experience, but it also raises questions about the extent to which our choices are truly our own. What began as a convenience has evolved into something far more consequential. We are not merely using algorithms anymore; we are slowly becoming the selves they design for us.

Algorithms are built to predict and keep us engaged. Every click, pause, like, or scroll is recorded and analysed. In return, the system feeds us more of what we have already consumed. This sounds harmless. After all, who wouldn’t want relevant recommendations? But personalization is never neutral. When a platform rewards the content that hooks us, it amplifies our biases and shrinks our curiosity. Over time, the feedback loop begins to define our worldview, narrowing the range of opinions, art, music, or even relationships we encounter.

The unsettling part is that the algorithm’s goal is not truth, diversity, or personal growth. It is engagement. If desire makes you scroll, it will serve you love. If envy fuels your clicks, it will curate envy-inducing lifestyles. What feels like a reflection of your taste is often a reflection of what keeps you online.

Human behaviour is always shaped by culture, but algorithmic influence is different in speed and precision. Traditional media might set trends, but it never recalibrated itself in real time for every individual. Today, AI systems track micro-reactions—how long your eyes linger on a video frame, how quickly you swipe away, and adjust instantly.

This raises a disturbing question. When you decide to buy a product, support a social cause, or adopt a new hobby, how much of that decision is you, and how much is a carefully engineered nudge? We still feel autonomous because the algorithm rarely forces choices. Instead, it quietly limits what enters the realm of possibility. You can’t choose what you don’t see. Is this the erosion of free will?

Living in an algorithmic world also reshapes identity. Our “digital selves” are rewarded for consistency. The more we like certain posts, the more similar content we receive, and the more we feel pressure to maintain that version of ourselves, whether it’s the fitness enthusiast, the foodie, the activist, or the minimalist. The feed trains us to be predictable because unpredictability breaks the machine’s efficiency.

The rise of the algorithmic self also brings about ethical considerations. There are concerns about privacy, as the data collected to fuel these algorithms often includes personal and sensitive information. Additionally, there is the issue of transparency. Many algorithms operate as ‘black boxes,’ with their inner workings hidden from users. This lack of transparency can make it difficult to understand how decisions are being made and to hold platforms accountable for their actions.

Many people feel a subtle dissonance, their offline preferences drift, but their online persona stays fixed. We perform for the algorithm, optimizing captions, hashtags, even our emotions, to remain visible. Our feeds don’t just reflect who we are, they encourage us to stay who we were yesterday.

But then how do we break the loop?  The answer is not to reject technology altogether. Algorithms are not inherently evil; they can help us discover music, connect with communities, find a job we want, or learn skills we might never find on our own. The challenge is to reclaim agency within the system.

Practical acts of resistance can be quite simple, like, disrupting the feed by clicking on unfamiliar topics or following people outside your cultural bubble; time-box social media use or schedule ‘algorithm-free’ days; read newsletters or listen podcasts where engagement isn’t the primary metric. There could be several other ways to disrupt and reintroduce randomness. However, the most important step, is awareness. Algorithms will always evolve faster than regulations or ethical guidelines. The only lasting defence is a conscious user, someone who understands that every scroll is a form of training data.

The algorithmic self represents a significant shift in how we navigate our identities in the digital age. The question is not whether technology shapes us. It always has. As we continue to integrate technology into our daily lives, it is essential to remain mindful of the ways in which algorithms shape our identities and to advocate for greater transparency and ethical considerations in their design and implementation. The real question is whether we allow a handful of opaque systems to quietly define what we desire, believe, and become. If we don’t actively resist, our algorithmic selves may thrive while our authentic selves quietly disappear into the feed.