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India is shifting towards cleaner and greener energy alternatives, and one of the big steps in this direction has been the launch of E20 fuel. E20 fuel is a mixture of 20% ethanol and 80% petrol that is meant to lower carbon emissions and decrease reliance on fossil fuel. These are 10 important things you should know about E20 fuel.

1. What is E20 fuel?

E20 is a 20% ethanol blend with 80% petrol. Ethanol, which comes largely from sugarcane, corn, and crop residues, is a renewable fuel biofuel that cuts the country’s dependence on crude oil.

2. Target of Government

The target of the government is to make 20% of ethanol blending by 2025, bringing forward the target by five years from the previous target of 2030. This is in consonance with India’s larger energy transition strategy.

3. Benefits to the Environment

E20 fuel reduces greenhouse gas emissions by as much as 35%, lowering pollution levels and helping urban air become cleaner.

4. Economic impact

Blending ethanol, India can lower its oil import bill, benefit farmers by increased demand for sugarcane and other crops, and create jobs in the countryside.

5. Vehicle compatibility

Not all cars can operate effectively on E20 fuel. Although newer vehicles are being made compatible with E20, older cars could experience problems such as compromised fuel efficiency and engine deterioration if not upgraded.

6. Fuel efficiency issues

Ethanol is less energy dense than petrol, which could lower mileage by a small extent. Improved engine technology, however, can mitigate this effect.

7. Availability in India

Oil marketing firms have started introducing E20 fuel in some cities and plan to progressively introduce it across the country by 2025.

8. Benefit to farmers

The growing demand for ethanol is good for farmers in that there is now a market for surplus crops such as sugarcane, maize, and even rice to stabilize agricultural revenues.

9. International practice

Brazil and America already sell ethanol-blended fuel on a large scale, with Brazil operating vehicles on 100% ethanol. India is also following this international trend.

10. The road ahead

The success of adopting E20 fuel hinges on the development of compatible cars, increased production of ethanol, and countrywide availability. With policy support and infrastructure in place, it can be a game-changer for India’s energy security

Conclusion:

E20 fuel is an important milestone for India’s transition to sustainable mobility. Although there are issues regarding availability and vehicle modification, its long-term environmental, economic, and social advantages make it an essential component of India’s green energy transition.

Read More: E20 Fuel Explained: What It Is and How It Differs from Regular Petrol.

The global technology industry entered the year 2025 under a cloud of uncertainty, as the beginning of a tech recession was foreshadowed by a variety of variables including a slowdown in growth, tighter financial markets, and volatile market circumstances. This was the case regardless of whether the recession was occurring.   As a result of the current state of the economy, firms and investors are being compelled to reconsider their strategy towards initiatives involving artificial intelligence (AI).

Although artificial intelligence will continue to be a key component of long-term innovation, the mindset has shifted from unrestrained optimism to cautious, results-driven investment. This is even though AI will continue to be an essential component.  While the funding of artificial intelligence initiatives is becoming increasingly dependent on crystal-clear measurements of return on investment, there is also a greater emphasis placed on operational efficiency, cost savings, and direct revenue generation.  The level of scrutiny that is being applied to large-scale, speculative artificial intelligence programs that do not have a clear path to success is becoming more demanding.

The applications of artificial intelligence that have the potential to deliver tangible benefits within one to two years are currently being prioritised by the leaders of corporations.   Automation of workflows, generative artificial intelligence tools for customer service, and analytics driven by AI for supply chain optimisation are all receiving significant support. Also receiving strong support is the automation of workflows.  This is because these industries offer substantial reductions in costs and increases in productivity, which contributed to the result.   On the other hand, those experimental endeavours that carry a high amount of risk are either being delayed or having their scope curtailed.

This is a time when it is more vital than ever before for institutional investors to make diversity and resilience the focal point of their investing strategy.   Large amounts of capital are being drawn to infrastructure that is connected to artificial intelligence. This is since these assets are important enablers of the expansion of artificial intelligence, regardless of the short-term market cycles.  Infrastructures such as data centres, high-performance central processing units, and advanced networking systems are examples of such infrastructure.   During this period, investment managers are diversifying their exposure across a variety of companies, including those that are well-established leaders in artificial intelligence as well as smaller companies that are more specialised. This is done to accomplish the goal of striking a balance between potential upside and stability.

Because of the economic downturn, the competitive landscape is now undergoing a transformation as well.   Startups who can effectively demonstrate that artificial intelligence has improved their efficiency or raised their income are more likely to attract funding. On the other hand, startups that rely solely on hype are failing to come into existence altogether.   Before making financial investments, investors are conducting more exhaustive due diligence, which may include demanding the outcomes of experimental projects or key performance indicators (KPIs) concerning client approval.

When it comes to investing plans that involve artificial intelligence, risk management will be one of the most crucial components by the year 2025.  Using these tools, portfolio managers are utilising a variety of strategies to react rapidly to changes in the market. Some of these strategies include the utilisation of scenario planning, the implementation of more rigorous limitations on individual holdings, and the scheduling of regular portfolio rebalancing.    In the context of an economy that is in a state of instability, the objective is to make use of the transformative potential of artificial intelligence while at the same time minimising the risk of undesirable results.

A portion of the public continues to maintain a favourable attitude towards artificial intelligence.    Although the recession in the technology industry has slowed down the rate of investment, it has also worked to instill better discipline, according to the common agreement. This is that the recession has served to instill greater discipline.    As opposed to being founded on theoretical hype, it is possible that this might, in the long term, contribute to a more sustainable rise in artificial intelligence that is grounded in real-world utility. This would be a significant improvement over the current situation.

As part of a new export licensing agreement, Nvidia and AMD have agreed to pay the US government 15% of their profits from selling AI chips made in China. This agreement has resulted in a significant change in trade and technology policies.

Nvidia’s H20 processors and AMD’s MI308 chips are the two processor types that are part of the package.  Both CPUs were previously prohibited from being shipped to China due to the growing restrictions imposed by the US government on advanced semiconductors.   Commodity transportation had been all but stopped at the start of this year due to those limitations.   Export licenses are being reissued in accordance with the new rules, but they come with the unusual requirement that a percentage of sales proceeds be transferred straight to the state of Washington.

The revenue-sharing system utilised in international trade is entirely different from others.  It functions more like a direct charge connected to national security policy than it does like a traditional tariff.   U.S. officials are presenting the plan to maintain strategic control over key AI technologies while also allowing American businesses to regain access to a lucrative market where they were previously dominant.

The financial stakes are extremely high, to put it another way. A significant amount of the profitability that both businesses have enjoyed over the last few years has come from China.  Roughly 13% of Nvidia’s overall sales and 25% of AMD’s revenue have come from China.   Think about the potential for a fifteen percent share of high-performance chip sales to generate hundreds of millions of dollars in payments to the US government each year. This depends on how much demand there is for these chips.

Experts in the field have noted that the arrangement is likely to spark debate at the national and international levels. They contend that it achieves a reasonable balance between protecting vital technology and making sure that American companies do not lose their long-term market share to overseas rivals. Supporters refer to it as a reasonable compromise.   In response, detractors argue that this kind of access monetisation runs the risk of weakening the security measures that were meant to be in place. Additionally, it might also make it easier for future demands of this kind to be made by other governments.

The agreement also mandates that rigorous compliance monitoring be done as a necessary condition.   In addition to making sure that chips are only sold to actual end users, businesses will have to submit comprehensive sales data for relevant items. Businesses will be subject to this requirement. It is possible that licenses will be immediately revoked if violations occur.

In the face of increased tensions between the US and China over the management of contemporary computing capabilities, especially in the areas of high-performance data processing and artificial intelligence, another decision has been made.   The project could establish a standard for how the federal government oversees other strategically significant businesses. This is since it combines tax collection with export control.

How well this experiment manages to strike a balance between economic, political, and security concerns in the coming months will determine whether it becomes a model for future trade measures or merely a temporary compromise. Whether it becomes a model for future trade measures will depend on this.

Over the past decade, social media has dramatically transformed the way businesses operate, especially in the world of advertising. Not too long ago, most advertisements were found on television, heard on the radio, or printed in newspapers and magazines. These traditional forms of media once dominated the advertising space.

Today, the landscape looks very different. Platforms like Facebook, Instagram, YouTube, TikTok, and X have become the go-to spaces for businesses to connect with their audiences. These platforms are not just places to share updates they are powerful tools for brands to communicate, build relationships, and drive sales.

There are more ads that are made just for you, which is a big change. You can find out a lot about the people who use social networking sites, like what they like, where they live, what they do, and what age group they are in. Then they can send information that is only useful to very small groups of people. Traditional ads try to reach as many people as possible. On the other hand, social media ads can target the people most likely to connect with the brand.

Ads can connect with people on social media. With named items, people can now do more than just look at them. They could like it, talk about it, share it, or even help make it. People who can talk to each other and get to know each other are more likely to stay with the company. An ad that was well thought out is even more likely to show up everywhere. With so many people able to see shares and trends on social media, it’s easy for one post to go popular.

The use of social media has made influencer marketing bigger. This is when businesses hire people who are very busy and have a lot of followers. People who follow these important people usually have deeper, more honest relationships with them. This makes their ideas stronger than simple endorsements.

A benefit is that it is cheap and simple to use. It’s not like TV or newspaper ads, though; social media campaigns can begin with little money and be changed right away. They can quickly try out various pictures, notes, and layouts and then alter them as needed.

It’s also much easier to use analytics and keep track of progress than it used to be. Business platforms give them a lot of different measures that help them figure out their return on investment (ROI) and make smart decisions based on data. Some of these measures are engagement, reach, click-through rates, and changes in behaviour.

There is too much on social media, and the rules are always changing. To be seen, you need to be unique, honest, and always ready to change. Also, many people are being careful because they are sick of ads and worry about their safety. So, businesses need to discover a way to promote items while still making them useful.

To sum up, social media has changed advertising by making it more personal, fun, and easy to keep track of. That means that all kinds of companies can now talk to their clients in fun and different ways. But to do well in this area, you need to be creative, plan ahead, and really understand your digital audience.

In today’s fast-moving digital landscape, creating content plays a key role in attracting new customers, boosting website traffic, and building a strong brand presence. But producing high-quality content consistently can be both time-consuming and costly. To keep up with the growing demand, many marketers are now turning to artificial intelligence (AI) to enhance their content strategies and make the process more efficient.

One of the biggest ways AI is transforming marketing is through automated content creation. Tools like ChatGPT and Jasper, which use natural language processing (NLP), can quickly write blog posts, product descriptions, ad copy, and even email campaigns in a matter of minutes. This helps marketers stay consistent with their content schedule while still delivering fresh, high-quality work without burning out their team.

AI is also changing the way marketers plan and develop content. By analyzing things like search trends, user behavior, and what competitors are doing, AI tools can suggest the right topics, keywords, and formats that are more likely to catch the attention of your audience. This data-driven approach takes the guesswork out of content planning, helping marketers create pieces that are not only more engaging but also more visible in search results.

AI is also helping marketers make content feel more personal and relevant. By using smart algorithms to sort people into groups based on things like age, behavior, and interests, marketers can tailor their messages and offers to match what each group cares about. This kind of personalization helps brands connect with their audience in a more meaningful and effective way. Before, only large teams and a lot of resources could make this level of personalisation possible. But now, AI-powered solutions have made it possible.

Content optimisation is another useful application. AI systems may look at existing content and suggest changes to make it more readable, improve its tone, structure, and search engine optimisation. Surfer SEO and Clearscope are two programs that help you improve your content so that it ranks higher in search results. This makes sure that the content grabs the attention of the right people.

Marketers use AI to make multimedia content. AI can do more than just write text. It can also make graphics, edit movies, and do voiceovers. Because of this, marketers may be able to spread different kinds of content that interest customers on a number of channels more effectively.

Artificial intelligence is a powerful tool, but it’s important to keep humans in charge. Marketers need to make sure that AI-generated content fits with their brand, their morals, and what customers anticipate. The best methods combine the creativity and strategic thinking of people with the efficiency of AI.

In conclusion, AI is changing the way content is made by making it more scalable, complex, and faster. Marketers who know how to use AI well will be better able to meet the growing need for content and do well over time as it changes.

Tariffs have been a hot topic these days. US President Donald Trump has signed an order to reimpose reciprocal tariffs from 10% to 41% on US imports from various nations. These tariffs pose a major challenge to global trade. In this article, we will discuss the potential far-reaching consequences of these tariffs, what they could mean for businesses, and the required steps to navigate risks.

The Tariff Implication

Trump’s tariffs story began with Canada, Mexico, and China, including reciprocal tariffs on nations worldwide, with major implications for global trade dynamics and affecting numerous commodities.

The White House has pushed a 10 percent “universal tariff” for most nations with which the US holds a trade surplus, or where the US exports more goods than it receives.

The Trump administration has also announced tariff agreements with Japan, the Philippines, Indonesia, South Korea, Vietnam, Cambodia, Pakistan, Thailand, and the UK. The president also planned to impose separate tariffs for major industries and exports like semiconductors, automotive, auto parts, steel, and aluminum.

Although the rates have reduced for most nations with which the country has a trade deficit, there are some surprises.

The initial tariff for Taiwan was 32 percent, which was later reduced to 20 percent. Although this number is still quite high compared to the deals done with neighboring countries like Japan and South Korea.

India has been imposed with a 25 percent tariff despite its strong relationship with the US. The neighboring nation, Pakistan, has cut its tariff rate from 29 to 19 percent. The tariff rate for Switzerland was initially fixed at 31 percent, and it was later raised to 39 percent.  The tariff rate for war-torn nations Syria and Myanmar is set at 41 percent and 40 percent, respectively.

Earlier, Canada had to face 25 percent tariffs that were later increased to 35 percent.

Additionally,  the Trump government has imposed a 30 percent tax on Algeria, Bosnia and Herzegovina, Libya, and South Africa; 40 percent for Laos; and 35 percent for Iraq and Serbia.

The Key Reasons behind Tariffs

Trump mentions that the new tariff rates will encourage U.S.-based people to buy more American-made goods, and it will boost the tax and investment overall.

He ultimately aims to reduce the gap between the goods US consumers buy from other nations and those it sells to them.

President Trump has taken a nation-by-nation approach to trade. There is no solid theory to specify for each nation; nations have imposed the tariff rates according to the president for trade reasons or otherwise.

The Worldwide Impacts

For most nations, these newly announced tariffs cut GDP. First, Switzerland’s GDP is expected to be reduced by 0.47 percent, which is equal to $1,215 per household annually. Thailand’s GDP rate will go down by 0.44 percent, and Taiwan’s GDP will go down by 0.38 percent.

In China, the GDP is expected to be harmed by 66.9 percent, and in the European Union, it will be affected by $26.6 billion. While New Zealand faced low additional tariffs, its GDP grew by 0.15%, which is equal to $204 per household.

The impact on the European economy will depend on the actual tariff rate. Initially, the EU commission had created a response to steel and aluminum tariffs, but later it suspended this retaliation. The effect on trade for the EU is expected to be lower than that of the US. US exports to the EU might have gone low.

The impact on the GDP would be low, and the US would be affected more because of its reliance on imports of final-consumption goods and inputs to US manufacturing.

The whole financial market has been buoyant, and these announcements have caused volatility on the stock markets across the world. Numerous people have been affected by stock market price changes directly or indirectly. Even the US dollar value has fallen, which is considered a safe asset.

The IMF and OECD both reduced their predictions for global economic growth in the year due to tariffs.  They have also warned about the bad impact of these tariffs on the US economy.

According to analysts, tariffs are feeding into the US inflation rate, as companies pass on most of their higher costs.

Companies are importing fewer foreign goods, making the available products expensive.

The new tariffs have also caused tighter custom checks at the US borders that are leading to a late supply of products. Further, the Trump-led US government will soon implement new rules to fix the tariff rates on transhipped goods.

A strong World Trade Organisation (WTO) is crucial to the smooth operation of international trade and the resolution of tariff disputes between countries. Only the World Trade Organisation (WTO) has the authority to set standards for global commerce. It helps ensure that trade may proceed freely and without hitches. To settle disagreements among its member states, especially those concerning tariffs (import taxes), is one of its primary functions.

Tariff disputes arise when one country thinks another has used unfair trade practices or increased taxes beyond what was agreed upon in a trade deal. These kinds of moves could make things worse or possibly start trade wars, which would be disastrous for international markets. A neutral venue for the peaceful and orderly resolution of such disputes is the Dispute Settlement Body (DSB) of the World Trade Organisation.

Countries can formally lodge complaints and seek aid through the DSB. At the outset of each case, a panel of experts is assembled to examine the evidence and render a verdict. The panel can demand that the nation in question change its policy if a violation is found. Under WTO oversight, the complainant may be able to impose retaliatory duties on the nation if it fails to comply.

To keep tensions between major economies from rising, this form of conflict resolution has become vital. Examples of well-known conflicts that the WTO has helped resolve include those regarding steel tariffs, agricultural subsidies, and intellectual property rights among the US, EU, and China. Contributing to the stability of the world economy, the WTO provides a formal place for people to redress their grievances. Because of this, people are unable to strike out on their own and exact vengeance in the marketplace.

Accountability and transparency are also fostered under the WTO framework. Notifying the WTO is a requirement for all members if their trade policies, including tariff schedules, undergo any changes. This allows us the ability to monitor and identify possible problems at an early stage

Although the World Trade Organisation (WTO) is important, it has recently faced difficulties, especially with its Appellate Body, which deals with appeals in cases involving disagreements. Worries over the organization’s efficacy have been heightened by the fact that meeting scheduling delays have exacerbated the difficulty of conflict resolution.

Nevertheless, the World Trade Organisation (WTO) remains an integral part of international trade policy. If tariff conflicts can be resolved, then a rules-based system can be put in place, and smaller economies will be able to stand up to bigger ones. The World Trade Organization’s (WTO) goal of promoting trade justice, predictability, and collaboration is more important than ever in today’s globally linked society.

As AI-powered search tools like ChatGPT and Google Gemini continue to reshape how users explore information, marketers and content creators need to evolve their strategies to stay visible. Unlike traditional search engines, the AI models work differently; they require strategies in consumer intent data, understanding what people search for and how and where they find their answers. In this guide, we will talk about AI-powered search engine marketing in detail with step-by-step instructions.

Quick Overview of AI Search

The traditional search engines were mainly focused on keyword matching; the AI search uses large language models to understand user intent and present more comprehensive responses, closely aligned to the users’ actual needs. These results are present in the form of AI overviews at the top of Google’s search results, either above or below the ads.

AI is trying to revive the spirit of early search. Its focus is not on the loudest and richest or most frequent but on the most valuable wins. AI Overviews mainly revolve around the formula of delivering accurate, relevant, and trustworthy information.

Here is the stepwise process for AI Search Marketing:

Step 1: Understand AI Search Algorithms

AI-powered search engines depend on advanced natural language processing to interpret context, semantics, and user intent, which is different from basic keyword matching. AI-based search engines prioritize the content, aligning with the intent of user queries. Next, use schema markup to support the search engine to understand and categorize your content. Consider including a well-rounded explanation of topics throughout. The more insightful your content, the more likely it is to be recognized as valuable by AI.

Step 2: Crafts Friendly Content  for AI and Human

To rank in AI overviews, try to provide clear, relevant, and valuable content. Before writing, think about the underlying purpose behind any query, including related terms and phrases besides the main keyword to give AI a richer context. Try to write clear and easy-to-read content with short paragraphs, bullet points, and lists.

Step 3: Include Technical SEO Factors

Utilize website audit tools to assess your site’s health and ensure its health. Make your website mobile-friendly, use responsive design, and ensure fast load time to make the user experience better. AI search engines focus on fast-loading pages, compress images to reduce file sizes, enable caching to store static files locally, and also use a CDN to distribute your content worldwide.

Step 4: Harness AI Tools and Modern Trends

Embrace tools like ChatGPT for generating content ideas and drafting engaging and aligned content with an AI algorithm. Boost your content performance with platforms like Ahrefs and Clearscope that provide the required recommendations to improve its alignment with the AI search engine. Additionally, focus on optimizing your content for natural language queries and incorporating long-tail conversational keywords.

Step 5: Build Natural Human Authority

To build a human authority, regularly update your content, publish industry-related content, provide detailed information about the content creators, and, like traditional SEO, have the content linked to or referenced by a reputable website, which can act as an endorsement of credibility. Further, maintain an active social media presence to enhance your site’s authority.

Step 6: Stay Ahead of the Trends

Proactively adapt your content strategy and do content audits to assure your content is updated and optimized, and keep abreast of the latest AI, SEO, and Generative Engine Optimization (GEO). Further, continuously experiment with different content formats and AI SEO strategies to find what works best with AI algorithms. Consider implementing A/B testing to find the most effective approaches and refining your strategy based on data-driven insights.

Step 7: Measure Your Success

Work on AI-specific performance indicators to check your content’s effectiveness. Measure how frequently your content appears in featured snippets through Google Search Content to track and optimize these valuable results. Check the user engagements with bounce rate, time on page, and interactions.  Use platforms like Google Analytics, Search Console, and other SEO tools to gain the latest data insights.

Bottom Line

As AI-based search is influencing how users find content, it is important to develop a resilient and AI-focused digital strategy. By following these steps, marketers and business owners can stay visible and relevant in the AI search world and achieve user attention and real engagement.

In the rapidly evolving digital landscape of today, it is essential to capture and maintain user attention. Two important metrics that indicate the effectiveness of your content are bounce rate, which refers to the percentage of visitors who exit after viewing just one page, and dwell time, which assesses the duration a visitor remains on a page. A particularly effective method to enhance both metrics is by utilizing long-form content.

Long-form content generally pertains to articles or blog posts that surpass 1,000 words. In contrast to shorter posts, it provides comprehensive information, thorough analysis, and enhanced value for readers. This level of detail aids in establishing authority, fostering trust, and motivating users to remain on the page longer, which in turn decreases bounce rates and boosts dwell time.

To begin with, long-form content offers thorough responses to user inquiries. When users discover all the information they require in a single location, they are less inclined to revisit the search engine for further resources. This results in an increase in the duration they spend on your page and a reduction in the chances of bouncing.

Secondly, extended content facilitates improved storytelling, organization, and formatting. By incorporating headings, bullet points, images, and multimedia elements, users can effortlessly scan or delve into sections. These attributes foster a more captivating experience, motivating visitors to engage with the content in greater depth.

Another significant aspect is SEO. Search engines such as Google prefer long-form content as it is generally more comprehensive and better optimized for pertinent keywords. Pages with greater word counts frequently achieve higher rankings, attracting more organic traffic and guaranteeing that users arrive at a page that meets their needs thereby further decreasing bounce rates.

Furthermore, long-form content provides avenues for internal linking. It allows you to direct readers to associated posts or service pages on your website, thereby maintaining their engagement across various pages. This practice not only enhances user experience but also improves the overall structure and navigability of the site.

Ultimately, well-crafted long-form content has a greater probability of being shared and saved, thereby expanding its audience and promoting return visits. As time progresses, this fosters a cycle of interaction that enhances both the duration of user engagement and the overall credibility of your website.

In summary, although brief content serves its purpose, long-form content acts as a potent instrument for enhancing user engagement metrics. By providing greater value, facilitating user navigation, and boosting search visibility, it effectively lowers bounce rates and motivates visitors to remain longer and delve deeper.