Could an Ai-created profile picture help you get a job?

There’s a new online trend that’s changing the way people present themselves professionally. Forget filters and Photoshop, artificial intelligence is now the go-to tool for creating picture-perfect profile photos.

Across social media, people are showing off the difference between their everyday selfies and the polished, professional-looking portraits that AI can create. All you need to do is upload a few photos, and within minutes, the software produces images that look like they came from a high-end photoshoot. Complete with perfect lighting, flawless skin, and even stylish outfits. Some users even notice that the AI subtly makes them look slimmer or more “put together.”

The big attraction? It’s fast, easy, and cheap. Professional headshots can cost quite a bit, but AI-generated photos are often free or very affordable. For many, it’s an accessible way to get a confident, professional look for job applications or networking sites.

Still, opinions are mixed. Some people love the polished results, while others feel the images look too artificial or that they don’t truly represent them. There’s also a deeper conversation about authenticity: is it okay to use an enhanced version of yourself when applying for jobs? Some argue that if it helps them make a good first impression and opens doors, why not? Others prefer to show the real, unedited version of themselves.

Interestingly, recruiters don’t seem too concerned. Many say they can spot an AI-edited photo but focus more on a candidate’s experience and skills than their profile picture.

In the end, AI might give your photos a professional edge: but it’s still your real personality, confidence, and abilities that make the lasting impression.

A million jobs in London could be changed by AI:

Artificial Intelligence is quickly reshaping the way we work, and for many people, that change could be huge. Jobs that involve repetitive or predictable tasks are the most likely to be affected.

Recent studies suggest that millions of roles could be transformed by AI in the coming years, with some disappearing altogether. Interestingly, research also shows that women may be more impacted than men, since many of the jobs most at risk are female-dominated fields. Experts say companies need to be mindful of this and make sure technology doesn’t unintentionally widen the gender gap at work.

That being said, not all uses of AI are about replacing people. In some industries, it’s becoming more of a support system than a threat. For example, hospitals have started using AI to make work more efficient: managing medication, predicting supply needs, and helping medical teams stay ahead during busy seasons. Staff say it’s not about cutting jobs but about freeing people from repetitive tasks.

Across the UK, more companies are experimenting with AI tools, from finance to tech and creative fields. Businesses are now being encouraged to rethink how they use AI: to find the right balance between automation and human creativity.

In the digital world, AI is already being used to speed up design, build new digital experiences, and help ideas come to life faster than ever before.

The truth is, AI isn’t just a distant concept anymore. It’s here, and it’s changing the way we work right now. The key will be learning how to adapt, stay flexible, and use this technology to our advantage instead of fearing it. Because while AI can handle the repetitive stuff, the things that make us human. Creativity, empathy, and problem-solving. Are still what truly make the difference.

Channel 4 is using a AI presenter for the first time:

A major UK documentary recently made history by introducing the first-ever AI presenter on national television. The idea wasn’t just for shock value. It was a bold experiment designed to show just how realistic and advanced artificial intelligence has become, and how it could change the future of work and media.

The programme explored how automation is already transforming industries like medicine, law, fashion, and music. Viewers watched as a professional-looking presenter guided them through each segment. Reporting from different locations and narrating the story with confidence. But in a surprise twist at the very end, it was revealed that the “presenter” wasn’t real at all. Everything from the voice and facial expressions to the movements on screen had been generated entirely by AI.

The goal of the project was to spark discussion about the growing power of artificial intelligence and how easy it has become to create content that looks completely authentic. With the right prompts, producers were able to generate a digital human capable of performing convincingly on camera. Blurring the line between what’s real and what’s artificial.

The network behind the project made it clear that this was a one-time stunt, not the beginning of a new direction. Human journalists, they emphasised, are still essential for trustworthy reporting, fact-checking, and genuine storytelling. Things that AI simply can’t replicate yet.

LinkedIn continues to evolve as the go-to platform for professionals and B2B marketers, introducing updates that make content creation easier, provide deeper insights into engagement, and enhance advertising precision through AI.

One standout feature is LinkedIn’s integration with CapCut for video creation. Video is rapidly becoming the most impactful format on LinkedIn, and this integration makes producing it simpler than ever. Marketers and professionals can now edit and export videos directly to LinkedIn using CapCut’s intuitive tools. By removing the friction of switching between apps, this update streamlines the production process, enabling faster, more authentic, and engaging storytelling. For B2B marketers, it signals a clear shift toward video-first content. The ability to create polished, on-brand videos within the platform allows companies to showcase expertise, share insights, and strengthen audience connections.

LinkedIn is also enhancing analytics with two new engagement metrics: Saves and Shares.

Saves: indicate posts that resonate deeply with users, prompting them to return later.

Shares: highlight content that professionals find valuable enough to distribute across their networks.

These metrics go beyond vanity engagement, offering marketers a clearer picture of content that delivers lasting impact. For B2B strategies, this means understanding not just what grabs attention in the moment, but what drives ongoing relevance and peer-to-peer amplification.

Additionally, LinkedIn updated its Terms of Service to expand AI functionality and refine ad targeting. Here’s what’s changing:

- Data Sharing with Microsoft: LinkedIn will share profile details, feed activity, and ad engagement (depending on user settings) to enable more personalized advertising.

 - AI Training in Select Regions: In markets including the U.K., Canada, and Hong Kong, LinkedIn will use member data to train generative AI models, improving features such as content recommendations, profile suggestions, and recruitment tools.

- User Control: Members can opt out of both ad targeting and AI training, maintaining control over how their data is used.

For marketers, these updates mean more precise targeting and access to AI-driven enhancements that can boost campaign performance. For professionals, it’s a timely reminder to review privacy settings and make informed choices about data sharing.