iWorld
GUEST ARTICLE: AI is revolutionising content creation, and the opportunities are limitless
Mumbai: Cloud-based artificial intelligence (AI) solutions continue to change and expedite nearly every element of content creation and dissemination. With increasing power and sophistication, these technologies are bringing new levels of precision, efficiency, compliance, and cost savings to broadcast operations. This presentation draws on and shows real-world AI solutions developed by prominent content producers and distributors, addressing use cases from production to post-production and dissemination. Artificial intelligence (AI) is now present in every aspect of our life.
The content industry has undergone a paradigm shift as a result of technological advancements dominated by artificial intelligence (AI), data science, and machine learning. By publishing excellent long-form content, brands position themselves as experts in their respective industries, resulting in credibility, trust, and loyalty. Various artificial intelligence (AI) technologies on the market now offer to make incredible copies for businesses. Automation, in conjunction with artificial intelligence, has the potential to alter the whole digital marketing landscape, particularly the content marketing business.
In a time of overabundance of content, AI plays a vital role in simplifying the content that is provided to the consumer.
Machines that can simulate cognitive processes seen in the human mind are referred to as “artificial intelligence” (AI). The more you use it, the more it becomes ingrained in you as a person. From the perspective of content marketing, AI cannot create content but can help develop a strong content strategy and produce more individualised content for users. There are numerous choices. AI may be a huge asset for a forward-looking marketer in terms of boosting sales, cutting expenses, and creating a significant competitive edge.
Using AI to create content
The way content is made today is changing thanks to AI. The application of artificial intelligence (AI) in content marketing has significantly increased during the past two years. Finding a topic, doing internet research, assembling your thoughts, and then putting those thoughts into words are the first steps in creating high-quality content. Perhaps the process has been sped up by the use of AI. AI is being used by many businesses to create content strategies and improve their offerings. It can really weave a given set of words into a story in a way that is far more captivating and leads to eventual interaction between the words and people.
The increasing use of chatbots by different brands across industries to solve simple problems or respond to FAQs is proof of their expanding adoption. In order to support native language engagement without human intervention, multilingual chatbots are proving to be increasingly effective. While people can spend time on planned work and preparation, they significantly lessen the burden.
Automated content generation and brand management help business owners and marketers cut costs and save time.
The secret to a successful strategy is conducting relevant and insightful content research. It takes a lot of time, though. AI can assist marketers with pertinent comments and recommendations for optimization in this situation. AI assists us in ensuring that the material we produce is not only relevant but also seen by the intended audience.
Any brand in the B2C or B2B industry is able to leverage AI for content marketing. It might not be practical for many firms to make full-scale investments in AI. While many firms might exploit it to gain honour, in the end, it is the consumer’s total experience that matters.
Does AI have a role in content creation?
Influencer marketing can benefit from the integration of AI. The suitable influencers and pertinent content trends can be found in this industry by using AI as a matchmaker. What will become popular on social media is always a mystery. Trying and failing is the process. AI can aid in this agonising process by supplying you with details on the appropriate demography, subjects that the algorithm is picking up on, etc., to help you focus your thoughts. You can further personalise your material with the use of this information, which will improve your chances of having a successful campaign.
Another broad phrase, “AI in content marketing,” refers to several technologies, including machine learning, computer vision, and natural language processing (NLP), to create marketing tactics that produce a good outcome for the company.
For instance, creating marketing plans that deliver the intended results requires time and effort. Customer analysis, historical purchase history, and customer feedback are all necessary for the full process, which necessitates a tremendous amount of manual study and labour. Predictive analysis, which is possible with AI, allows marketers to complete the same tasks and create strategies with a better success rate depending on the knowledge and data the technology provides.
We will examine more applications of AI in content marketing that are genuinely transforming the sector for both marketers and businesses.
The next step
Automation of content using AI is here to stay as a result of the rapid advancement of technology. In just a few clicks, users can now create full long-form blogs, social media captions, blog ideas, and meta descriptions.
The sector is fragmented by its very nature, with numerous companies offering various solutions. Additionally, one can produce high-quality output using AI and ML. A comprehensive solution for the complete content lifecycle is what marketers require. To solve complex workflows, this would require a combination of the appropriate tools and talent.
The author of this article is entrepreneur & content creator and SociallKnot founder Shweta Tanwar Mukherjee.
Gaming
Bluestone FY26 revenue rises to Rs 2,436 crore, turns profitable
Q4 profit at Rs 31 crore, full-year profit at Rs 13 crore vs loss last year.
MUMBAI: From sparkle to numbers, Bluestone seems to be polishing more than just jewellery this year. Bluestone Jewellery and Lifestyle Limited reported a sharp turnaround in FY26, with revenue from operations rising to Rs 2,436 crore (Rs 24,364 million), up from Rs 1,770 crore (Rs 17,700 million) in FY25. The company posted a full-year profit of Rs 13 crore (Rs 131.79 million), a significant recovery from a loss of Rs 222 crore (Rs 2,218 million) a year ago.
Total income for the year stood at Rs 2,486 crore (Rs 24,860 million), compared to Rs 1,830 crore (Rs 18,300 million) in the previous year, reflecting both topline growth and improved operational momentum.
The March quarter, however, told a more nuanced story. Revenue from operations came in at Rs 681 crore (Rs 6,814 million), down from Rs 748 crore (Rs 7,486 million) in the year-ago period, though higher than Rs 461 crore (Rs 4,613 million) in the preceding December quarter. Net profit for Q4 stood at Rs 31 crore (Rs 311.81 million), compared to Rs 68 crore (Rs 688 million) a year earlier, but a clear reversal from a loss of Rs 51 crore (Rs 512 million) in Q3.
Margins were shaped by higher input costs, with raw material consumption rising to Rs 2,204 crore (Rs 22,043 million) for the full year, alongside employee benefit expenses of Rs 282 crore (Rs 2,824 million) and finance costs of Rs 210 crore (Rs 2,104 million). Other expenses came in at Rs 371 crore (Rs 3,715 million), slightly lower than Rs 393 crore (Rs 3,938 million) in FY25.
On the balance sheet front, total assets expanded to Rs 4,961 crore (Rs 49,610 million) as of March 31, 2026, from Rs 3,532 crore (Rs 35,322 million) a year earlier, driven largely by a surge in inventories to Rs 2,672 crore (Rs 26,718 million). Equity also strengthened to Rs 1,803 crore (Rs 18,030 million), nearly doubling from Rs 911 crore (Rs 9,107 million).
Cash flows reflected the cost of growth. Net cash used in operating activities stood at Rs 199 crore (Rs 1,990 million), while investing activities saw an outflow of Rs 239 crore (Rs 2,392 million). Financing activities, however, generated Rs 497 crore (Rs 4,971 million), helping the company end the year with cash and cash equivalents of Rs 108 crore (Rs 1,075 million), up from Rs 49 crore (Rs 487 million).
Earnings per share for FY26 came in at Rs 1.10, a sharp improvement from a negative Rs 79.74 in FY25, underlining the shift from losses to profitability.
With revenue scaling up, costs still glittering on the higher side, and profitability finally back in the black, BlueStone’s FY26 performance suggests a business mid-transition less about shine alone, and more about sustaining it.
