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A group of people filming a video for social media. PHOTO: UNSPLASH
The Influencer Evolution: Recognizing the Power and Potential of Each Type.
Updated
November 27, 2025 3:26 PM
A group of people filming a video for social media. PHOTO: UNSPLASH
In an era where social media reigns supreme, influencers have emerged as powerful players in the marketing game. They have the ability to sway opinions, drive trends, and create waves of engagement that brands can only dream of. But not all influencers are created equal; they come in various shapes and sizes, each with a unique approach to connecting with their audience. Under standing the different types of influencers can illuminate how they impact our daily lives and the choices we make. Let’s dive into the captivating world of influencers and explore the diverse categories that define them.
When you think of influencers, mega influencers are often the first that come to mind. These are the A-list celebrities, athletes, and global icons with millions of followers on platforms like Instagram, TikTok, and YouTube. Their immense reach allows brands to tap into vast audiences, making them highly sought after for endorsements.
Mega influencers have the power to generate instant buzz around a product or campaign. Their celebrity status lends credibility, and fans are often eager to emulate their lifestyles. However, this type of influencer can come with a hefty price tag, making them suitable for brands with substantial marketing budgets.
Just below the mega influencers are macro influencers, who typically boast between 100,000to 1 million followers. While they may not have the same level of fame as celebrities, macro influencers often command a loyal and engaged audience. They are usually experts in specific niches, such as fitness, beauty, travel, or technology.
Macro influencers combine reach with relevance. Their targeted expertise allows brands to connect with specific demographics, making them an ideal choice for campaigns aimed at niche markets. Their followers often view them as relatable and trustworthy, which can lead to higher engagement rates.
Micro influencers are the rising stars of the influencer world, typically having between 10,000 to 100,000 followers. What sets them apart is their authentic connection with their audience. They often have a more intimate relationship with their followers, leading to higher engagement and trust.
Brands are increasingly turning to micro influencers for their ability to create genuine conversations around products. The cost-effectiveness of partnering with micro influencers also allows brands to run multiple campaigns across different influencers, amplifying their reach while maintaining authenticity.
At the bottom of the influencer hierarchy are nano influencers, who have 1,000 to 10,000 followers. While their follower count may be modest, nano influencers often possess a highly engaged audience that views them as close friends, families or peers rather than celebrities.
Nano influencers are perfect for brands looking to create grassroots campaigns. Their genuine enthusiasm and relatability can lead to strong word-of-mouth marketing. Engaging with nano influencers often comes at a lower cost, making them an attractive option for small businesses and startups.
Brand ambassadors are influencers who have a long-term relationship with a brand, often representing them across multiple campaigns. They can fall into any of the previous categories but are distinguished by their commitment to the brand and its values.
By cultivating brand ambassadors, companies can create consistent messaging and foster loyalty among customers. These influencers often resonate with audiences more deeply, as they embody the brand’s identity and promote its products authentically over time.
The world of influencers is as diverse as it is dynamic, with each type offering unique advantages for brands looking to connect with consumers. From the glitzy allure of mega influencers to the genuine relatability of nano influencers, understanding these categories can help brands make informed choices in their marketing strategies. As the digital landscape continues to evolve, the role of influencers will only grow, shaping trends and driving engagement in ways we are just beginning to comprehend. By leveraging the right type of influencer, brands can effectively navigate this vibrant ecosystem, ensuring their message resonates with the audiences that matter most.
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The hidden cost of scaling AI: infrastructure, energy, and the push for liquid cooling.
Updated
December 16, 2025 3:43 PM
The inside of a data centre, with rows of server racks. PHOTO: FREEPIK
As artificial intelligence models grow larger and more demanding, the quiet pressure point isn’t the algorithms themselves—it’s the AI infrastructure that has to run them. Training and deploying modern AI models now requires enormous amounts of computing power, which creates a different kind of challenge: heat, energy use and space inside data centers. This is the context in which Supermicro and NVIDIA’s collaboration on AI infrastructure begins to matter.
Supermicro designs and builds large-scale computing systems for data centers. It has now expanded its support for NVIDIA’s Blackwell generation of AI chips with new liquid-cooled server platforms built around the NVIDIA HGX B300. The announcement isn’t just about faster hardware. It reflects a broader effort to rethink how AI data center infrastructure is built as facilities strain under rising power and cooling demands.
At a basic level, the systems are designed to pack more AI chips into less space while using less energy to keep them running. Instead of relying mainly on air cooling—fans, chillers and large amounts of electricity, these liquid-cooled AI servers circulate liquid directly across critical components. That approach removes heat more efficiently, allowing servers to run denser AI workloads without overheating or wasting energy.
Why does that matter outside a data center? Because AI doesn’t scale in isolation. As models become more complex, the cost of running them rises quickly, not just in hardware budgets, but in electricity use, water consumption and physical footprint. Traditional air-cooling methods are increasingly becoming a bottleneck, limiting how far AI systems can grow before energy and infrastructure costs spiral.
This is where the Supermicro–NVIDIA partnership fits in. NVIDIA supplies the computing engines—the Blackwell-based GPUs designed to handle massive AI workloads. Supermicro focuses on how those chips are deployed in the real world: how many GPUs can fit in a rack, how they are cooled, how quickly systems can be assembled and how reliably they can operate at scale in modern data centers. Together, the goal is to make high-density AI computing more practical, not just more powerful.
The new liquid-cooled designs are aimed at hyperscale data centers and so-called AI factories—facilities built specifically to train and run large AI models continuously. By increasing GPU density per rack and removing most of the heat through liquid cooling, these systems aim to ease a growing tension in the AI boom: the need for more computers without an equally dramatic rise in energy waste.
Just as important is speed. Large organizations don’t want to spend months stitching together custom AI infrastructure. Supermicro’s approach packages compute, networking and cooling into pre-validated data center building blocks that can be deployed faster. In a world where AI capabilities are advancing rapidly, time to deployment can matter as much as raw performance.
Stepping back, this development says less about one product launch and more about a shift in priorities across the AI industry. The next phase of AI growth isn’t only about smarter models—it’s about whether the physical infrastructure powering AI can scale responsibly. Efficiency, power use and sustainability are becoming as critical as speed.