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By:

Anjali Joshi

3 July 2026 at 7:55:47 am

Beauty and the Algorithm

Artificial intelligence is transforming skincare, but the industry’s most valuable asset remains irreducibly human. The beauty industry has rarely embraced technological change as enthusiastically as it is doing today. Artificial intelligence can now analyse skin with remarkable precision, sophisticated machines can target imperfections once thought difficult to treat, and aesthetic clinics increasingly resemble laboratories as much as salons. Yet amid this technological revolution, an...

Beauty and the Algorithm

Artificial intelligence is transforming skincare, but the industry’s most valuable asset remains irreducibly human. The beauty industry has rarely embraced technological change as enthusiastically as it is doing today. Artificial intelligence can now analyse skin with remarkable precision, sophisticated machines can target imperfections once thought difficult to treat, and aesthetic clinics increasingly resemble laboratories as much as salons. Yet amid this technological revolution, an enduring truth that remains is that beauty is as much a human experience as it is a scientific one. For decades, skincare revolved around conventional treatments, topical products and the trained judgement of experienced aestheticians. Today, that judgement is reinforced by an arsenal of advanced technologies. Treatments such as HydraFacials, laser therapy, radio-frequency procedures, microdermabrasion, High-Intensity Focused Ultrasound (HIFU) and LED light therapy have transformed the possibilities of non-invasive skincare. They cleanse more deeply, improve texture and pigmentation, and deliver increasingly consistent results. Clients now expect faster improvements with greater precision and fewer risks than ever before. Game Changer Artificial intelligence has accelerated this transformation. AI-powered imaging systems can examine the skin in microscopic detail, assessing moisture levels, oil production, pigmentation, wrinkles, enlarged pores, acne, blemishes and even estimating biological skin age. Perhaps AI's greatest contribution lies in personalisation. Skin is profoundly individual; no two people present identical concerns, lifestyles or biological characteristics. The era of standardised treatments is steadily giving way to customised care. By processing vast quantities of diagnostic data, AI can recommend tailored treatment plans, suggest suitable skincare products and even generate detailed aftercare protocols. The result is better outcomes for clients whose treatments are increasingly designed around their specific needs rather than generic categories. Predictive algorithms can flag the early signs of accelerated ageing, sun damage or pigmentation disorders, allowing preventive intervention rather than corrective treatment. Increasingly, AI is extending beyond the treatment room into clinic management itself, streamlining appointment scheduling, maintaining comprehensive client histories, automating follow-up care and even enabling preliminary online consultations that save time for both practitioners and clients. All this raises an obvious question. If machines can analyse, predict and recommend with increasing sophistication, what remains for the beauty professional to do? The answer is almost everything that matters. While technology excels at processing information, it cannot understand vulnerability. A machine may detect dehydration in the skin, but not the exhaustion that caused it. It may identify pigmentation, but not the insecurity that accompanies it. It may recommend a treatment protocol, but it cannot reassure an anxious client, interpret unspoken concerns or understand why someone seeks aesthetic care in the first place. Beauty treatments are seldom pursued solely to improve the complexion. They are also acts of restoration for confidence, wellbeing and self-esteem. Clients often enter a clinic carrying emotional burdens alongside cosmetic concerns. They seek empathy as much as expertise. It is here that the experienced aesthetician remains irreplaceable. Skilled practitioners read people. They adapt treatments to personalities, lifestyles and emotional expectations. They know when to advise patience instead of another procedure, when to temper unrealistic hopes, and when the most valuable service they provide is simply listening. Nor can technology replicate the therapeutic qualities of touch. The slow rhythm of a facial massage, the careful movements of trained hands and the quiet conversation that often accompanies treatment create an atmosphere of trust that no algorithm can manufacture. These moments are not incidental luxuries but are central to why many clients return. The experience itself - the sense of being cared for - often becomes as valuable as the visible improvement in the skin. This is why the future of beauty is unlikely to be a contest between machines and humans. It will instead be a partnership in which each performs the tasks it does best. AI brings precision, speed and data-driven insight. Advanced equipment expands the range of treatments available while improving safety and consistency. Human practitioners contribute judgement, sensitivity, experience and emotional intelligence - qualities that transform a clinical procedure into genuine care. The beauty industry will undoubtedly become even more technologically sophisticated in the years ahead. But its defining ingredient will remain stubbornly analogue. Machines may analyse the skin with astonishing accuracy, and algorithms may refine every treatment plan. Yet confidence cannot be programmed, trust cannot be automated and compassion cannot be digitised. The future of beauty, for all its algorithms, will still depend on the oldest technology of all - the human touch. (The writer is an aesthetician and founder, Midas Touch International Institute, Pune. Views personal.)

Lingua Pragmatica

Updated: Mar 20, 2025

As Southern leaders like M.K. Stalin rage against Hindi, Andhra Pradesh’s Chief Minister Chandrababu Naidu offers a model of pragmatism over parochialism.

Chandrababu Naidu
Andhra Pradesh

Amid the cacophony of opposition in southern states to Hindi, Andhra Pradesh CM N. Chandrababu Naidu has taken a markedly pragmatic stance by remarking recently in the state Assembly that there was no harm in learning other languages. Hindi, Naidu noted, was useful for communication across India, particularly in political and commercial hubs like Delhi. His remarks, though avoiding explicit mention of the NEP, were widely seen as an endorsement of multilingualism and a rebuke to the linguistic chauvinism that has gripped parts of the South.


Few issues in India stir political passions quite like language. It is not merely a means of communication but a marker of identity, a relic of colonial resistance, and a source of political mobilization. In the southern states, where anti-Hindi sentiment has long been entrenched, the National Education Policy (NEP) 2020 and its three-language formula have reignited old tensions. No state embodies this defiance more than Tamil Nadu, where the ruling Dravida Munnetra Kazhagam (DMK) led by M.K. Stalin has framed the policy as an assault on its linguistic autonomy.


Naidu’s words, welcomed by his ally and Deputy Chief Minister Pawan Kalyan, mark a sharp contrast with the DMK’s position. Tamil Nadu’s hostility towards Hindi dates back to the 1930s, when C. Rajagopalachari’s attempt to introduce it in schools met with fierce resistance. The anti-Hindi agitations of the 1960s cemented the DMK’s ideological stance, with its first Chief Minister, C.N. Annadurai, famously warning that Hindi imposition could push Tamil Nadu towards secession.


The question, however, is whether this rigid opposition serves Tamil Nadu’s interests. While Stalin, with an eye to the upcoming Tamil Nadu Assembly polls, has been relentlessly portraying Hindi as a threat to his state’s regional identity, Naidu, a partner of the BJP-led Centre, is framing it as a tool for economic mobility. His argument is not that Hindi should replace Telugu or English but that it offers a competitive advantage.


The economic case for multilingualism is compelling. Indians who speak multiple languages tend to have better job prospects, higher earnings and greater geographic mobility. Andhra Pradesh’s Telugu-speaking diaspora is a case in point. Telugus make up a significant proportion of Indian-origin professionals in the United States, the Gulf, and Southeast Asia as Naidu pointed out, hinting that this success story was built not on linguistic rigidity but on adaptability.


In a country where inter-state migration is rising and where Hindi remains the most widely spoken language, refusing to learn it amounts to self-imposed isolation. Tamil Nadu’s approach, by contrast, risks limiting its youth. The DMK government has refused to implement the three-language policy, keeping schools strictly bilingual with Tamil and English. Its justification that Hindi is not necessary for global success could be true in a narrow sense but ignores the domestic context. If Tamil filmmakers can dub their movies into Hindi to expand their audience, why should Tamil students be denied access to the language that could open more doors for them within India?


The DMK has accused successive central governments, particularly under the Bharatiya Janata Party (BJP), of pushing Hindi at the expense of regional languages. Yet, rejecting Hindi outright is an overcorrection. The reality is that Hindi is an important language in India’s economic and political landscape. Naidu’s position, one of accommodation rather than confrontation, offers a middle ground that other Southern leaders would do well to consider.


Some states already recognize this. Karnataka, despite its own history of linguistic pride, has allowed Hindi to be taught as an optional language. Kerala, whose migrants work in Hindi-speaking regions and the Gulf, has been less hostile to Hindi education. Naidu’s model, balancing regional identity with practical necessity, offers a way forward. Languages should be embraced, not politicized. Southern leaders would do well to listen to him.

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