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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.)

Caste-based Census Sparks Nationwide Debate

Updated: Oct 22, 2024

Caste-based Census

Caste-based identities continue to dominate rural India, directly or indirectly shaping electoral outcomes. Many major elections are influenced by specific caste groups. After the Bihar government released the first phase of its caste-based socio-economic survey, the caste census became a hot topic. The results, backed by evidence, showed improvements in the living standards and social status of marginalised communities, both in cities and villages. With parties like the JDU and NCP backing a caste census, there is growing momentum for the government to conduct one. However, every story has two sides—joy and sorrow. Even Mahatma Gandhi, the Father of the Nation, raised concerns about the caste census.

Rahul Gandhi accused the BJP of being “anti-Bahujan.” The clear meaning is that his father and forefather refused to execute a caste-based census, which might have far-reaching effects and even permanently fracture India’s social fabric. This may be negative for caste-based beneficiaries. The last caste census in India was conducted in 1931 by the British government. Those times were different from the present scenario. The data was made public and became the basis for the Mandal Commission Reports and reservation policies for Other Backward Classes. Rashtriya Swayamsevak Sangh (RSS) has clarified that the caste-based population count data will not be used for core politics. But the agenda for politics is always twisted and expanded.

The Central Government also joined the legal debate by filing an affidavit with the Supreme Court, leaving the matter unresolved. India’s partition, rooted in the divide-and-rule strategy, is frequently cited as a cautionary tale. Including caste in official census data could further deepen social divides. This issue has become a political pressure point, with various states pushing the Centre for action. Although the Constitution uses the term “class” instead of “caste,” the Supreme Court has consistently ruled that caste is a relevant, and at times, sole or dominant criterion for defining a backward class.

After the release of caste-based census data in Bihar, discussions around conducting similar censuses have gained momentum in states like Rajasthan, Chhattisgarh, and Jharkhand. Karnataka, which has already conducted its own caste census, may release its data soon as well.

Notably, all these states are governed by anti-BJP parties. Congress leader Rahul Gandhi also announced that Congress-ruled states have committed to carrying out caste censuses. Meanwhile, the BJP has remained silent on the matter, creating a significant roadblock.

Caste-based censuses focus on proportional representation in areas like jobs and education, with the argument that this will aid in targeted planning for the disadvantaged. However, the situation remains unclear, much like a foggy winter morning. The BJP’s stance on caste-based censuses and reservations seems different, as they fear the caste-based calculations could fragment their traditional Hindu voter base—an underlying concern for the party.

Professor Sanjay Kumar from The Centre for the Study of Developing Societies, says, “Let alone the BJP; no party can openly oppose it; it is not free from danger. BJP gets a large number of votes from the OBC community, their population across the country would be around 52%. Another downside is that the caste-based censuses could disrupt the balance of socio-economic zones. Data theft is a common issue in government systems, and people may feel disconnected from their actual rights.

The moot question is that if the financial status of an ST/SC/OBC or Dalit citizen moves up by a few notches, will his social status change automatically? The lifestyle of any class will only change when the income of a particular class is changed. The actual source of income is employment. The reality is that only metro cities have enough place and space for workers. Aside from the GIDC and IT sectors, less than 30% of industries have their own designated vacancy periods. After a decade, the Jamnagar and Rajkot Corporations have opened their doors to newcomers alongside experienced staff. However, age and caste bias often operate behind the scenes. It’s important to recognise that poverty is also widespread among many upper-caste individuals, and their needs cannot be overlooked. In the overall interests of the nation, terms like SC/ST/OBC, Dalits, etc. must be deleted from the nation’s vocabulary. Every citizen should have only one classification, that of being an ‘Indian’, in the spirit of the constitution.

Last year, when the Bihar government decided to conduct a caste survey in the state, the BJP was also Nitish Kumar’s partner in the state government, and it supported it. Political expert and former professor of Tata Institute of Social Science, Pushpendra Kumar, says, “It is not that the BJP does not talk about caste. It tries to reveal the caste of the Prime Minister as well. For caste politics, the BJP also tried hard to raise the issue of Pasmanda Muslims.”

(The writer is a management professional based in Ahmedabad. Views personal.)

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