From ChatGPT to Google Gemini to home assistant AI robots - it seems that AI is everywhere in 2026. We’re all used to receiving personalised recommendations on our streaming services and communicating with AI assistants on websites. In the media we hear both the positive and negative predictions for the future in our AI-enhanced world. Is AI going to improve the human experience - or take over our world?

In this blog, we are going to explore a little bit of this huge topic by looking at:

what is AI?
some examples of where are are currently using AI
tips on how to spot AI generated content
opportunities that AI presents
risks and possible negative outcomes of over-reliance on AI
tips for using AI safely and confidently

Let’s jump in!

*‘AI is a tool. The choice about how it gets deployed is ours.’ -* Oren Etzioni, founder of TrueMedia.org

What is AI?

For the purposes of research, the real human being writing this blog asked Google AI mode to answer the question ‘what is AI?’ The following generated text shows the incredible abilities that AI already has - and maybe why many writers are losing their jobs due to the comparative speed and cheapness of the AI alternatives!

‘Artificial Intelligence (AI) is a branch of computer science dedicated to creating machines and software capable of performing tasks that typically require human intelligence. While people often imagine human-like robots, AI is actually an umbrella term for a wide range of technologies—from the Google Search algorithms you use daily to complex systems that power self-driving cars.’

The development of Artificial Intelligence (AI) has been evolving since the 1950s, through periods of heavy investment, and years where there was not so much interest from governments and business. At first, AI was programmed to do whatever the human programmer wanted it to do, over time learning how to notice patterns. In 1997, a customised IBM supercomputer defeated the human world champion chess player. Although there was some controversy over what had actually happened during the chess game, the achievement was undeniable in terms of highlighting what computers might become capable of. As computers were becoming more and more powerful, the evolution of AI was well on its way again.

In the 2000s, the opportunities for computers to ‘learn’ from digital data - known as machine learning - ramped up considerably as the world’s personal and work lives moved online, vastly increasing the amount of digital data available for them to be trained on. After processing such ginormous amounts of data, AI systems massively improved in their ability to accurately identify patterns and make predictions.

The previously imagined Generative AI became reality - AI systems that can create new content, such as text, images, videos or music, in response to user prompts. The launch of ChatGPT by OpenAI in November 2022 was a turning point: people were amazed at how quickly and accurately it could generate human-like text and it became the fastest growing consumer application at the time. Around the same time, Waymo’s self-driving robo-taxis began operating in the US in Phoenix and San Francisco, and have since expanded operations to Los Angeles, Austin and Atlanta.

AI continues to move fast, and a few people and companies are making a lot of money out of it. For example, the company Nvidia that makes the graphic processing chips suited to AI’s ‘deep learning’ systems sold $57 billion worth of these chips in a three-month period in 2025. Anduril Industries, founded by billionaire Palmer Luckey, is building AI-powered weapons; and Elon Musk has turned his attention to chatbots including the controversial Grok, humanoid robots, robotaxis and brain implants. Tech giants, energy firms and governments are now also spending trillions of dollars on constructing the data centres we need to have in order to service this bolt into the future. The ‘AI race’ is on.

Types of AI

Only the first of these exists now; the other two are theoretical possibilities for the future.

Artificial Narrow Intelligence (ANI) - what we are using now - AI that can perform specific, targeted tasks consistently well

Artificial General Intelligence (AGI) - theoretical future version of AI that matches human intelligence in cognitive tasks

Artificial Super Intelligence (ASI) - hypothetical future version of AI that surpasses human intelligence in all ways

Some more useful terms

Algorithm - a process or set of rules to be followed in order to complete a task or solve a problem

AI chat bots - a computer programme that simulates conversation with human end users (e.g. ChatGPT, Apple’s Siri, customer service chatbots)

AI generated content - any form of media produced by AI models

AI summaries - concise summaries of longer, more complex information created by AI summarisation tools (e.g. Google AI Overviews)

Deep learning - a type of machine learning that involves many layers of neural networks, capable of processing, learning and recognizing complex patterns (e.g. translations, virtual assistants)

Generative AI (GenAI) - AI systems designed to create new content, such as text, images, or music (e.g. ChatGPT)

Neural networks - computational models inspired by the human brain

Predictive AI - e.g. predictive text, emails being marked as spam

Agentic AI - e.g. self-driving cars, Claude agent - if you give an instruction it will access your device and do the action for you.

For a more comprehensive list of terms, see the UK Parliament glossary in Further Resources below.

Examples of where we are using AI in 2026

From morning to night, in our online world there are countless ways in which we are using AI right now. Some common examples include:

predictive text
facial recognition technology for unlocking your phone
email filters to spot spam emails
Gmail’s Smart Compose, which suggests phrases to complete sentences
autocorrect and grammar tools
personalised recommendations on streaming platforms such as Netflix
social media feeds
digital voice assistants such as Apple’s Siri or Amazon’s Alexa
health tracking smart devices Fitbit and Google Pixel Watch have personalised AI health coach function
navigation - apps like Google Maps use AI to predict traffic and find the fastest route
finance - detecting fraudulent credit card transactions in real-time
online shopping recommendations
security systems
customer service chatbots

How to spot AI-generated content

With highly developed AI generative models, it can be extremely difficult to spot! And it is becoming increasingly difficult as AI ‘improves’. However, there are some things you can be on the look out for to help you separate fact from fiction.

Images

if you look closely there could be mistakes in the text that appears in AI generated images, for example text on street signs that appear in the background.
can you see any distortions, such as warping, unrealistic lighting, or unexpected items within the image?
look carefully at details such as hands, faces and textures. Less developed AI systems may create images with too many teeth or fingers. Unnaturally smooth skin textures, flawed perspectives, incorrect shadows and a look of ‘too good to be true’ are also clues.

Videos

listen closely to the speech - does it sound robotic or artificial? Are the speech patterns and emotional tone realistic?
does the season, weather, clothing, lighting, architecture, landscape etc match what the video says it’s about?
are there ‘humans’ in the video displaying unnatural movements and expressions? Jerky, stiff, random blinking, and mismatched audio and video may be signs of AI creation.

Text

is it inconsistent and repetitive? Abrupt changes in tone or topic point to AI generated text.
nonsensical sentences and random words in the middle of the text
if it feels basic and formulaic rather than unique and personalised
quick response with perfect grammar may be AI generated suggested responses.

If the content feels ‘off’ or triggers an immediate emotional reaction, appears to be illogical, then trust your gut that this is AI generated content.

Opportunities that AI presents

One of the key opportunities presented by AI is to support business productivity and operations in terms of automating routine tasks, the use of Agentic AI for workflow management and help with forecasting and risk management. Within business, this may be an opportunity for huge economic growth.

With AI’s ability to process data much faster and more accurately than humans, supporters of AI development are also excited about many ways in which AI could help our lives become better in different ways. Here are a few important examples.

AI healthcare innovations may be particularly exciting in a system where our current services are stretched beyond capacity. AI is currently being used to analyse x-rays and scans, for remote monitoring systems and to support robotic surgeries. The possibilities for the future include using AI models to help speed up medical diagnoses, detect serious illness early and automate administrative tasks to free up medical professional time.

AI could help disabled people by removing communication barriers (e.g.AI-powered Braille translators), automate tasks that some find difficult to perform, support understanding of complex ideas and tone, or assist in job applications.

*‘I imagine a world in which AI is going to make us work more productively, live longer and have cleaner energy.’* - Fei-Fei Li (Professor of Computer Science & Co-Director of Human-Centered AI Institute, Stanford University)

Some supporters of AI believe that it will help advance climate science with the aim to fight climate change. It could help to reduce energy waste, identify emission hotspots in industrial processes and improve electrical grid efficiency. It could also help to predict extreme weather events, enabling efficient and proactive disaster management.

Education is another area ripe for AI innovation. Proponents are excited about harnessing AI to meaningfully contribute to the learning outcomes educators want to achieve. Development ideas include using AI chatbots to support bilingual learning, building AI tools to reduce the administrative burden on teachers (e.g. marking) and support personalised learning pathways for students.

Overall, there’s a belief that if AI could be designed to work in harmony with and to serve the aims of human society (rather than of the elite billionaires who are arguably running the race at the moment), then it could be utterly transformative in a positive way. To this end, various universities are running centres to support research and development including the Centre for Human-Inspired Artificial Intelligence at the University of Cambridge, and the Institute for Human-Centered AI at the University of Stanford.

‘With AI drawing art, creating music and writing, human creativity is being challenged. Artists, musicians, composers and writers are all experiencing upheaval which could match that of a factory becoming automated.’ - Roger Spitz, futurist

Risks and possible negative outcomes of over-reliance on AI

There are numerous ethical and practical concerns about the use and over-reliance on AI, both for human society and for our planet. These are the most discussed concerns, but you may be able to think of more!

Bias and discrimination - the deeply-rooted biases and discrimination in our societies may be further entrenched by AI systems trained on big data sets that already contain these. Echo chambers perpetuate the same biases, for example, gender bias or racial bias, where the development of the algorithms in machine learning have not addressed their minimisation or avoidance.
Privacy and surveillance - constant tracking and surveillance of individual users is carried out by AI systems for data collection, and there is a lack of transparency about how these systems operate, how the data is used and whose interests it serves to collect it.
Online safety - AI tools could be used to create more realistic phishing emails, leading to an increase in online fraud and cyberattacks.
Misinformation and deepfakes - the ability to trust what we read or see as real will become more and more difficult as AI develops the ability to generate more and more realistic content. We won’t be able to tell fact from fiction.
Social and political manipulation - those with specific political or social agendas could use AI as a tool to publish misinformation, create fear, polarise groups, and manipulate discussion and elections.
Job displacement - there are growing fears of mass job losses as AI becomes able to do more and more, and is a cheaper, more convenient option for employers than employing humans.
Economic disruption - linked to job displacement, there could be a massive increase in unemployment rates, changes in the workforce and worse wealth inequity as tech owners reap the rewards of AI while the rest of us struggle.
Environmental concerns - AI uses water- and energy-guzzling data centres to run, and the bias and inequity in many AI systems along with digital infrastructure limitations present serious risks to how effective its purported solutions may be in developing countries.
Social skills and relationships - people are increasingly seeking connection through AI companions and chatbots leading to concerns atrophy of empathy and social skills, and could actually deepen isolation and loneliness over time rather than reduce it.
Cognitive and creative atrophy - if humans continue to outsource their thinking and creativity to AI models, over time there will be an increased homogenisation of thought, reducing individuality, reduced capacity for complex, nuanced thought and discussion, and a loss of human creativity.
Threats to physical safety - physical accidents, injuries and even death could be caused by AI systems malfunctioning (e.g. driverless cars)
Loss of human agency - the ultimate fear of AI is that it will continue to develop to the hypothetical Super-Intelligence level and act of its own volition without human direction - and who knows where that might lead!

*‘The real problem is not whether machines think, but whether men do.’* - B.F. Skinner

Tips for using AI safely and confidently

When using AI tools, and consuming online content for personal or study/work use, these tips will help you to use it safely and confidently.

Remember its limitations

It can sometimes really seem that AI systems can ‘think’ like humans - and their neural networks are computational models inspired by the human brain - but the reality is that they are not intelligent (yet!) in the way that humans are. The output of an AI system depends upon the quality and breadth of information contained within the data it is trained on. The goal of generative AI is not truth: it is to create plausible content in response to user prompts.

Be aware of ‘hallucinations’

AI programmes can produce very authoritative information and it’s easy to take it as true. But, it can often just be convincing-sounding nonsense. For example, online information may tell a disabled person that a building is accessible when it is not. An AI summary may provide totally incorrect opening times for a shop, or historical data that is not correct. It also may perpetuate harmful biases based on whatever data it has been trained on. Be curious about what’s behind the advice or information you are reading or viewing online. If you are not sure, ask a trusted adult to have a look at it with you.

Follow guidance for school/study use

Most schools, colleges and universities now have guidance for students on using Generative AI for studying and writing essays for their courses, which it is very important that you follow. If you don’t, you may receive grading penalties or even fail your course. Learning institutions tend to regard using generative AI in your work as a form of plagiarism. It might be hard to understand why you should spend time reading and then writing about a topic, if AI can do ‘the same thing’ in only a minute. Especially if you are aware of adults using generative AI in their workplace and for personal use. However, most of those older adults will have already spent years practising working through ideas, making sense of information and arguments and now use AI to help edit or support their own work. While you are younger, you are still developing your own knowledge, skills, capacities and understanding, and learning how to express your own unique viewpoint. AI cannot do this for you. The massive downside to outsourcing your thinking is that you do not develop your own capacity to think, analyse or solve problems. By doing your work yourself, you can work through ideas and increase your understanding of the topic you are learning about. You might even discover what you believe.

Social connection

Remember that real life social connections matter so make time to spend with friends and family. However positive your online interactions with AI chatbots and similar may appear to be, they are no substitute for real-life relationships. AI companions may be agreeable, supportive and understanding, but they do not actually have feelings so cannot truly empathise with you. Real relationships can be messy, fun, challenging, disappointing, nourishing and … human.

Review your privacy settings

AI systems that run the social media platforms you use, as well as internet browsers and email providers, are likely collecting vast amounts of data about you. This is your personal information, and may be used to influence what you see, buy or even feel when you are online. Who is benefitting from your data? What do you think and feel about that? Take some time to review your privacy settings across all your platforms, particularly the AI-powered features. Ideally you will not be sharing sensitive information such as your full name, address, phone number or financial information.

Asking for help

If you are experiencing some difficulties with your online activity relating to AI, do consider talking about this with a trusted adult. A parent, guardian, older sibling, friend, relative or teacher may be able to listen and provide valuable support - we’re all navigating these changes together, and some of it is happening very quickly. Try to choose someone who you know is a good listener.

Some things you might like to discuss:

what are the specific issues you are having with AI - is it to do with AI tools or AI generated content?
whether you need some support with your managing your online activity
how does the trusted adult spot AI generated content - might they be able to help you?
whether the adult has any other useful advice or guidance to give you

If you are struggling to identify someone in your personal life to have this discussion with, get in touch with us!

*‘The purpose of AI is to amplify human ingenuity, not replace it.’* - Satya Nadella, CEO of Microsoft

Our challenge to you

Over the next week, try to become more aware of AI in your life and what you think about it. Notice what AI tools and content you are seeing and using online. Have a think about your use of the examples of AI that we are already using, in the list above.

Which of the AI tools and content that you use or consume are helpful to you? Are there any that you don’t like using? Why?

Can you notice any other types of AI that you are using? How do you know if the content you are consuming is AI generated or real?

Have a chat about this topic with friends the same age, and with older folk that you know. Are there any differences in opinion? Do older folk find it easier or more difficult to spot AI generated content?

Further resources

Online course on AI: https://course.elementsofai.com/

Artificial Intelligence (AI) Glossary - UK Parliament

Examples of student guidance: