Technology
25 Biggest Moments in Search, From Helpful Images to AI
Here’s how we’ve made Search more helpful over 25 years — and had a little fun along the way, too.
When Google first launched 25 years ago, it was far from the first search engine. But quickly, Google Search became known for our ability to help connect people to the exact information they were looking for, faster than they ever thought possible.
Over the years, we’ve continued to innovate and make Google Search better every day. From creating entirely new ways to search, to helping millions of businesses connect with customers through search listings and ads (starting with a local lobster business advertising via AdWords in 2001), to having some fun with Doodles and easter eggs — it’s been quite a journey.
For our 25th birthday, we’re looking back at some of the milestones that made Google more helpful in the moments that matter, and played a big role in where Google is today. Learn more about our history in our Search Through Time site.
2001: Google Images
When Jennifer Lopez attended the 2000 Grammy Awards, her daring Versace dress became an instant fashion legend — and the most popular query on Google at the time. Back then, search results were just a list of blue links, so people couldn’t easily find the picture they were looking for. This inspired us to create Google Images.
2001: “Did you mean?”
“Did you mean,” with suggested spelling corrections, was one of our first applications of machine learning. Previously, if your search had a misspelling (like “floorescent”), we’d help you find other pages that had the same misspelling, which aren’t usually the best pages on the topic. Over the years we’ve developed new AI-powered techniques to ensure that even if your finger slips on the keyboard, you can find what you need.

2002: Google News
During the tragic events of September 11, 2001, people struggled to find timely information in Search. To meet the need for real-time news, we launched Google News the following year with links to a diverse set of sources for any given story.
2003: Easter eggs
Googlers have developed many clever Easter eggs hidden in Search over the years. In 2003, one of our first Easter eggs gave the answer to life, the universe and everything, and since then millions of people have turned their pages askew, done a barrel roll, enjoyed a funny recursive loop and celebrated moments in pop culture.

One of our earliest Easter eggs is still available on Search.
2004: Autocomplete
Wouldn’t it be nice to type as quickly as you think? Cue Autocomplete: a feature first launched as “Google Suggest” that automatically predicts queries in the search bar as you start typing. Today, on average, Autocomplete reduces typing by 25% and saves an estimated over 200 years of typing time per day.
2004: Local information
People used to rely on traditional phone books for business information. The web paved the way for local discovery, like “pizza in Chicago” or “haircut 75001.” In 2004, Google Local added relevant information to business listings like maps, directions and reviews. In 2011, we added click to call on mobile, making it easy to get in touch with businesses while you’re on the go. On average, local results in Search drive more than 6.5 billion connections for businesses every month, including phone calls, directions, ordering food and making reservations.
2006: Google Translate
Google researchers started developing machine translation technology in 2002 to tackle language barriers online. Four years later, we launched Google Translate with text translations between Arabic and English. Today, Google Translate supports more than 100 languages, with 24 added last year.

2006: Google Trends
Google Trends was built to help us understand trends on Search with aggregated data (and create our annual Year in Search). Today, Google Trends is the world’s largest free dataset of its kind, enabling journalists, researchers, scholars and brands to learn how searches change over time.
2007: Universal Search
Helpful search results should include relevant information across formats, like links, images, videos, and local results. So we redesigned our systems to search all of the content types at once, decide when and where results should blend in, and deliver results in a clear and intuitive way. The result, Universal Search, was our most radical change to Search at the time.
2008: Google Mobile App
With the arrival of Apple’s App Store, we launched our first Google Mobile App on iPhone. Features like Autocomplete and “My Location” made search easier with fewer key presses, and were especially helpful on smaller screens. Today, there’s so much you can do with the Google app — available on both Android and iOS — from getting help with your math homework with Lens to accessing visual translation tools in just a tap.
2008: Voice Search
In 2008, we introduced the ability to search by voice on the Google Mobile App, expanding to desktop in 2011. With Voice Search, people can search by voice with the touch of a button. Today, search by voice is particularly popular in India, where the percentage of Indians doing daily voice queries is nearly twice the global average.

2009: Emergency Hotlines
Following a suggestion from a mother who had a hard time finding poison control information after her daughter swallowed something potentially dangerous, we created a box for the poison control hotline at the top of the search results page. Since this launch, we’ve elevated emergency hotlines for critical moments in need like suicide prevention.
2011: Search by Image
Sometimes, what you’re searching for can be hard to describe with words. So we launched Search by Image so you can upload any picture or image URL, find out what it is and where else that image is on the web. This update paved the way for Lens later on.
2012: Knowledge Graph
We introduced the Knowledge Graph, a vast collection of people, places and things in the world and how they’re related to one another, to make it easier to get quick answers. Knowledge Panels, the first feature powered by the Knowledge Graph, give you a quick snapshot of information about topics like celebrities, cities and sports teams.

2015: Popular Times: We launched the Popular Times feature in Search and Maps to help people see the busiest times of the day when they search for places like restaurants, stores, and museums.
2016: Discover
By launching a personalized feed (now called Discover) we helped people explore content tailored to their interests right in the Google app, without having to search.
2017: Lens
Google Lens turns your camera into a search query by looking at objects in a picture, comparing them to other images, and ranking those other images based on their similarity and relevance to the original picture. Now, you can search what you see in the Google app. Today, Lens sees more than 12 billion visual searches per month.
2018: Flood forecasting
To help people better prepare for impending floods, we created forecasting models that predict when and where devastating floods will occur with AI. We started these efforts in India and today, we’ve expanded flood warnings to 80 countries.

2019: BERT
A big part of what makes Search helpful is our ability to understand language. In 2018, we introduced and open-sourced a neural network-based technique to train our language understanding models: BERT (Bidirectional Encoder Representations from Transformers). BERT makes Search more helpful by better understanding language, meaning it considers the full context of a word. After rigorous testing in 2019, we applied BERT to more than 70 languages. Learn more about how BERT works to understand your searches.
2020: Shopping Graph
Online shopping became a whole lot easier and more comprehensive when we made it free for any retailer or brand to show their products on Google. We also introduced Shopping Graph, an AI-powered dataset of constantly-updating products, sellers, brands, reviews and local inventory that today consists of 35 billion product listings.
2020: Hum to Search
We launched Hum to Search in the Google app, so you’ll no longer be frustrated when you can’t remember the tune that’s stuck in your head. The machine learning feature identifies potential song matches after you hum, whistle or sing a melody. You can then explore information on the song and artist.
2021: About this result
To help people make more informed decisions about which results will be most useful and reliable for them, we added “About this result” next to most search results. It explains why a result is being shown to you and gives more context about the content and its source, based on best practices from information literacy experts. ‘About this’ result is now available in all languages where Search is available.
2022: Multisearch
To help you uncover the information you’re looking for — no matter how tricky — we created an entirely new way to search with text and images simultaneously through Multisearch. Now you can snap a photo of your dining set and add the query “coffee table” to find a matching table. First launched in the U.S., Multisearch is now available globally on mobile, in all languages and countries where Lens is available.
2023: Search Labs & Search Generative Experience (SGE)
Every year in Search, we do hundreds of thousands of experiments to figure out how to make Google more helpful for you. With Search Labs, you can test early-stage experiments and share feedback directly with the teams working on them. The first experiment, SGE, brings the power of generative AI directly into Search. You can get the gist of a topic with AI-powered overviews, pointers to explore more and natural ways to ask follow ups. Since launching in the U.S., we’ve rapidly added new capabilities, with more to come.
As someone who’s been following the world of search engines for more than two decades, it’s amazing to reflect on where Google started — and how far we’ve come.
Technology
Lagos Eyes 250MW Data Centre Capacity by 2030
By Adedapo Adesanya
The Lagos State government plans to expand the city’s data centre capacity to over 250 megawatts (MW) by 2030 as part of efforts to strengthen its digital infrastructure ecosystem.
This was disclosed by the state’s Commissioner for Innovation, Science, and Technology, Mr Olatubosun Alake, at the launch of the Kasi Cloud LOS1 data centre facility in Lekki. Nigeria Sovereign Investment Authority (NSIA) invested in Kasi Cloud through an $8 million convertible loan note in 2021.
Mr Alake said Lagos already hosts nearly three-quarters of Nigeria’s commercial data centre capacity, adding that the government intends to expand its infrastructure footprint significantly over the next five years.
“There are about 146 additional megawatt data centres planned in the pipeline,” he said. “We envisage that by 2030, we would have over 250 megawatts of data centre capacity in Lagos, three times the current capacity growth.”
The expansion comes as demand for cloud services, AI computing power, and local data storage continues to grow across Nigeria’s digital economy, with Lagos at the forefront, housing thousands of businesses and startups.
Mr Alake said the Kasi Cloud facility represents Lagos’ entry into “large-scale hyperscale AI infrastructure,” signalling the state’s ambition to evolve beyond being known primarily as a startup hub into a major centre for digital infrastructure and AI computing.
“Lagos is no longer simply a startup city,” he said. “It is an infrastructure city.”
The Kasi LOS1 facility is designed as a 40MW hyperscale data centre campus, beginning operations with an initial 7.2MW IT load.
According to Mr Alake, the facility includes advanced GPU computing infrastructure powered by Nvidia H100 and H200 chips, alongside liquid cooling systems and cloud infrastructure services designed to support AI workloads.
The Lagos State government believes such infrastructure will become critical as AI adoption accelerates globally.
Mr Alake said the state is investing in fibre optic networks, smart city technologies, university innovation programmes, and digital government systems to prepare for the transition.
“The AI economy is going to require hundreds of megawatts,” he said. “The market has already made its decision about where digital infrastructure belongs.”
On his part, Mr Johnson Agbogun, co-founder and chief executive officer of Kasi Cloud, said the project was built to reduce Nigeria’s dependence on foreign cloud infrastructure and give African businesses more control over how their data and AI systems are developed.
“Nigerian enterprises are currently spending $850 million every year on foreign cloud infrastructure,” he said. “Every naira spent abroad on cloud and AI infrastructure helps build capabilities somewhere else.”
He added that the facility runs GPU-powered AI workloads from local enterprises and described the Lekki campus as “the beginning of Nigeria’s AI factory.”
“As artificial intelligence reshapes economies globally, the nations that control their own compute infrastructure and data will be the ones positioned to lead,” added Mr Kolawole Owodunni, NSIA’s Executive Director and Chief Information Officer.
Technology
Google I/O 2026: 4 Major Updates That Are Changing How Google Search Works
The goal of Google Search has always been simple: to help you ask anything on your mind. Whether it is a quick fact to help with your daily hustle or a complex question about starting a new business, Nigerians rely on Search every single day.
Over the last year, Google has rapidly reimagined what Search can do with AI. The momentum has been incredible—just one year after its debut, AI Mode has surpassed one billion monthly users globally. As people have realised just how much more Search can do for them, they are searching more than ever before, reaching an all-time high in search queries last quarter. Today at Google I/O, Google shared the next step in its journey to bring together the best of a search engine with the best of AI.
To power this next chapter, Google is officially upgrading Search with Gemini 3.5 Flash as the new default model in AI Mode for everyone worldwide. Delivering sustained frontier performance for agents and coding, Gemini 3.5 Flash is the engine driving the new era of AI-powered Search. Because curiosity doesn’t always fit into standard keywords, this powerful AI model is transforming Search from a tool that simply finds information into an intelligent platform capable of reasoning, monitoring the web, and executing complex tasks on your behalf.
Here is a look at the four biggest AI-powered announcements coming to Google Search:
1. A Completely Reimagined Search Box
Google is introducing the biggest upgrade to its Search box in over 25 years. Now completely reimagined with AI, the new intelligent Search box dynamically expands to give you the space to describe exactly what you need. It goes beyond simple autocomplete by anticipating your intent and helping you phrase your questions. You are no longer limited to typing; you can now search using text, images, files, videos, or even Chrome tabs as inputs. Additionally, Google is making it easier to ask follow-up questions directly from an AI Overview, flowing naturally into a conversational back-and-forth where your context stays with you as you explore.
2. New Search Agents That Work in the Background
We are entering the era of Search agents, where you can create and manage multiple AI agents directly in Search. Google is launching “Information agents” that operate in the background 24/7. These agents intelligently scan the web—alongside fresh data on finance, shopping, and sports—to monitor for changes related to your specific questions. For example, if you are house hunting, your agent will continuously scan the market and notify you the moment a listing matches your exact criteria. Furthermore, Search is expanding its agentic booking capabilities; you can soon share specific criteria (like a late-night private karaoke room) and Search will pull the latest pricing and links to finish booking. For certain categories, Google can even call businesses on your behalf.
3. Custom Mini-Apps and Visuals Built Just for You
Search is no longer just returning links; it is now building the ideal response in the perfect format for your query entirely on the fly. By bringing the power of Google Antigravity and the agentic coding capabilities of Gemini 3.5 Flash into Search, users will get a custom “Generative UI.” This means Search can design custom layouts, interactive visuals, tables, graphs, or simulations in real-time. But it goes a step further: if you have an ongoing task, like establishing a new health routine, Search can actually code a custom fitness tracker or mini-app for you. These custom dashboards tap into real-time sources like live maps and weather, giving you a personalised tracker you can return to again and again.
4. Expanded Personal Intelligence Without a Subscription
For AI to be truly helpful, it shouldn’t just know the world’s information—it should understand your personal context, too. To achieve this, Google is expanding Personal Intelligence in AI Mode to more people in nearly 200 countries and territories across 98 languages. Crucially, this is being rolled out with no subscription required. Users can securely connect apps like Gmail, Google Photos, and soon Google Calendar directly to Search. Designed with transparency and choice at its heart, this allows you to safely ask Search to find information buried in your own personal files, always keeping you in complete control of your connected data.
Technology
Fibre Cuts: Expert Blames Road Construction for 60% of Network Outages
By Modupe Gbadeyanka
The chief executive of Dimensions Data Limited, Mr Gbenga Olabiyi, has blamed road construction for 60 per cent of network outages caused by fibre cuts.
Speaking recently at the National Dig-Once Policy Forum, which marked the 8th Policy Implementation Assisted Forum (PIAFo), he drew attention to the gap between the infrastructure Nigeria has and what it can actually deliver if a coordinated framework is adopted.
“Nigeria currently has about 35,000 kilometres of fibre in the ground, yet only 16 per cent of Nigerians are connected to it. Broadband penetration stands at 45 per cent. Lagos alone has a penetration rate of over 70 per cent,” Mr Olabiyi said.
He emphasised that the failure to address the missing fibre link over the years has led to saturation of connectivity in urban centres, while the hinterlands are left either unconnected or poorly served.
At the same programme, convened by Mr Omobayo Azeez, stakeholders in the telecommunications sector called for the adoption of the dig-once policy to lower the costs of fibre deployment, reduce infrastructure damage, improve safety, and shorten rollout timelines.
Quoting the Nigerian Communications Commission (NCC), it was noted that of the 50,000 fibre cut incidents recorded in a year, about 30,000, which represents 60 per cent, occurred during road construction and rehabilitation.
Stakeholders thus called for a review of existing road construction and building codes to accommodate the installation of fibre conduits in the original design standard of the infrastructure planning.
“What Dig-Once offers is an opportunity to correct this,” the president of the Association of Telecommunication Companies of Nigeria, Mr Tony Emoekpere, stated.
He added that even operators frequently damage one another’s cables during repeated digging, thus increasing repair costs and service disruptions.
The Deputy Director of Strategic Business Initiatives at ipNX Nigeria Limited, Mr Segun Okuneye, said under the dig-once policy, road contractors should install ducts during construction.
He said the repeated excavation of the road leads to incessant destruction of existing infrastructure and triggers service blackouts with operators bearing additional costs of repair of replacing the fibre.
Also, the chairman of the Association of Licensed Telecom Operators of Nigeria (ALTON), Mr Gbenga Adebayo, said operators should focus not just on digging once but on eliminating unnecessary digging altogether by sharing existing infrastructure and jointly replacing legacy cables.
“Early fibres laid 15 to 20 years ago are now ageing, and the industry needs a plan to replace them without everyone digging the same routes again,” he said.
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