We are currently witnessing the dawn of large language models (LLMs), such as ChatGPT. These are changing the way we work and the way we learn – particularly the way we search for information. There has been a huge reaction from education leaders, worrying about such tools being used to help students cheat their way through their studies, or fearing that they will be fed incorrect information.
On the other hand, in the workplace, GenZ employees have bought into the AI hype. They are using the technology to help them with various work tasks, but have a huge fear of managers finding out. This is due to lack of company regulation around whether they should or shouldn’t be using these tools to support their work.
The real conversation here though is, how useful is ChatGPT and other similar tools when it comes to research? With over 80% of the search market share, Google is the household favourite, but even Google has its limitations. Google is set up to search by keywords, but not to dive into granular and complex questions. For example, if I use Google and search ‘AI’, the results come back with a multitude of news items, various descriptions of AI and a range of company articles using the term ‘AI’.
This is where tools like Chat GPT come in. Using an LLM, I have the ability to ask a question such as ‘Can you describe what AI is’, and it comes back with a detailed description of AI and its use cases. This is information that can be pulled into any written work without having to use a single brain cell. This type of language model has the ability to understand and respond to natural language and provide answers that are both informative and entertaining, generating a variety of responses to each user’s questions.
However, the major limitation of ChatGPT is that the data only runs up to 2021, so for many trying to use this tool, the information will be far too out of date to create current and reliable content. This is a major point for those working in tech comms, as the speed of innovation is so fast that information quickly becomes outdated.
Aside from this limitation, there have also been concerns around the ethical implications, including privacy, bias in training data and lack of human interaction. More commonly used search engines don’t have these same problems, and therefore are more reliable to use for research. Using a manual search engine relies on people to manually gather and organise their own data and information, based on the latest information available. On the other hand, an AI search engine relies on computers and algorithms and their pre-trained and installed data to produce results. This is one of the key differences when using either for searching.
However, a search tool is only as good as the data it provides. Google provides results to our keyword searches based on the algorithm it uses to deem information credible. ChatGPT hasn’t yet been transparent about its sources, which again makes using it for research difficult.
Looking at this from a comms perspective (as we’re comms people after all) these changes will be significant to our output. Firstly, we’re constantly researching to ensure we are knowledgeable for our clients. But secondly, and importantly, a lot of what we do influences Google results. An amazing article about our client in a national newspaper like the Financial Times, will feature at the top of search results and will have an impact on that company’s reputation. In B2B, the sales process often starts with Google! But as LLMs continue to develop, what will it mean for a company’s reputation and how they feature in LLM results?
There is no doubt that LLMs will continue to have a huge impact on the way we search, work, and learn. We’re at an important juncture, where not only the likes of Google will look to make significant changes to its platform, but we’ll also see a huge range of new players enter and compete in the ‘AI race’. It’s not too dissimilar to when we witnessed the disappearance of Nokia, Motorola and Blackberry as Apple and Microsoft became the dominant players in the mobile phone evolution. I think we’ll see something very similar happen here!
This month, Eurovision exploded back onto our screens in all its campy, zany, extravagant glory. Broadcast from my hometown of Liverpool, millions of people across the globe danced and sang along to some predictably cheesy music – in my eyes, Finland were the clear winners. This celebration of diversity, inclusivity, creativity, and culture was a clear reminder that the human influence is invaluable for businesses – particularly as AI creeps further into our lives.
There’s an overall mix of curiosity around how AI can help companies, fears about it negatively impacting jobs, and pressure to regulate it as it grows more knowledgeable. It can perfectly replicate human voices, churn out content in seconds, and explain advanced astrophysics to a five-year-old. It can’t, however, replicate or replace the human touch, particularly when it comes to reputation shaping.
AI isn’t going anywhere. There are around 5,855 tools that have the potential to be used in PR currently available online, and that number will only continue to rise. But a reputation is curated through the business’ relationship with the public, and relationships are the foundation of the human experience. By working solely off data, AI tools lack the emotional intelligence, strategic thinking, and interpersonal skills that are so imperative in PR. If a business experiences a reputational setback, wants to improve media relations, or is looking for a creative new way to boost visibility, there is a need for soft skills that only us humans can bring to the table.
Eurovision is a perfect example of how the human influence shapes reputation. The longest-running annual international televised music competition, its reputation reflects its core value of uniting people and nations by showcasing musical diversity and cultural nuances. It is powered by human creativity and an understanding of culture, attracting audiences of over 180 million people across the world who share a wonderfully wacky and meaningful experience. Love it or loathe it, Eurovision’s reputation has an undeniably and overwhelmingly positive impact on visibility, cultural influence, and tourism.
When considering how AI can discern a brand’s reputation, the tools may be able to use their vast amounts of knowledge to gauge popularity, identify cultural differences, and calculate the positive financial impact Eurovision brings, but this information is gathered and collated through human input. Because AI lacks the aforementioned soft skills, its inability to think critically or creatively generates concerns surrounding ethics.
Firstly, if the human input is not neutral then the AI-based decisions are susceptible to bias or inaccuracies. This is especially concerning if a company is experiencing a reputational crisis, and neutrality and nuance are needed. One well-known example of this is the bubbling undercurrent of political tensions that surround Eurovision each year. Despite these, the event remains fiercely politically neutral, and makes every effort to bar highly politicised performances and promote peaceful relations, in order to avoid reputational damage.
Secondly, AI is inherently inauthentic, meaning that any creative ideas it suggests stem from human creativity. This also means that AI-generated content or ideas are more likely to result in plagiarism accusations, a serious reputational setback.
Thirdly, there are the ever-present fears around increased surveillance. Once an AI tool is fed a piece of information, it can never be retrieved and wiped from the database. If sensitive information is inputted, the tool has no understanding that it should not be outputted – and if that occurs, it makes for navigating some seriously tricky waters.
So, is AI the future of PR? It can certainly augment, but there’s no doubt that the human influence will continue to drive the industry forward. And with the countdown on until the next Eurovision in Sweden, ask yourself – would this be nearly as much fun with a glittery, AI powered, humanoid robot on the stage? Personally, I’d prefer to see another rendition of the classic Ukrainian entry circa 2007, “Dancing Lasha tumbai”. The contestants may be dressed like robots, but they are hilariously and undeniably human.
Generative AI, and more specifically ChatGPT, has dominated headlines since late last year. For months, the world and his wife has weighed in with views, concerns and predictions around the technology. But what about the tech companies whose bread and butter isn’t generative AI?
It can be tough when your point of view doesn’t slot into the current news cycle. Periods of less coverage and less contact with the press can feel like a step back. But, instead of feeling frustrated or panicked, this period of time should be seen as one filled with opportunity.
Here’s a couple things non-generative-AI tech companies, and their PR partners should consider at times like this…
You don’t need to join every conversation
This is something that most companies and PRs already innately know. If something isn’t relevant to your offering or market share, don’t weigh in. But when something like ChatGPT comes along and sweeps every journalist, publication and broadcast house off their feet for months on end, confidence in remaining quiet can wane. A ‘let the storm pass’ mentally can quickly shift to a ‘what can we say about this?’ panic.
But it’s important to remember that not every conversation is relevant to your company or brand. A company needs to focus on its own product, service and value offering, and not get distracted by hype that isn’t relevant to where they are positioned in the market.
Don’t rush a POV
Joining conversations is a key part of PR. But it needs to be done effectively, with thought and strategy to back statements. The last thing a company needs is to rush messaging without properly interrogating how they match up with what they do and who they are – their offering, ethos and purpose.
Clumsy messaging runs the risk of getting sniffed out. If you’re lucky, coverage will be small and under the radar – or even non-existent. If you’re unlucky, the pickup could be huge only to bring with it questions and scrutiny. Backpedalling from statements is a headache which can be so easily avoided.
Quiet time can be valuable, use it
So, rushing to have your voice heard isn’t always the right approach at times like this. Equally, doing nothing with the time is a missed opportunity. Instead, use this period of quiet from press relations as a chance to turn your attention elsewhere. This could be towards improving internal comms, boosting employee relationships and thereby your own reputation as a business. It could be through building up the website, through new content like blogs or a bit of a makeover. It could be a chance to strengthen customer relationships, leading to case studies that could in turn find their way onto the site or even as hooks for press interviews later down the line. It could be revamping social media presence, company messaging, media training for spokespeople and so much more. Rather use this time to focus on your wider PR and reputation strategy.
In short, don’t be afraid to sit some conversations out. Just use your time on the bench wisely, leaning on your PR partners for guidance and support.
Since its big reveal in November 2022, OpenAI’s ChatGPT has dominated headlines all across the world. It is being touted as a technology with the potential to change our lives – for better, or worse. Across the internet, we’ve seen examples of how the AI-powered language model can complete tasks faster, and in some cases better, than humans. Tasks ranged from writing emails, to composing song lyrics, drafting academic essays and everything in between.
AI that can create new content, also known as generative AI, has faced its share of ethical concerns over the past months. If a chatbot can write articles and generate images in a matter of seconds, what will that mean for the humans who rely on these skills to earn a living? However, it needn’t be all doom and gloom. This technology holds the potentially to enable people to do their jobs better, faster and with greater ease.
In the B2B tech PR and communications industry, there are several ways that generative AI could revolutionise how we work. As an experiment, I asked ChatGPT: ‘’What are the top four ways that generative AI will change the PR and communications industry for the better?’’ This is what it said:
1. Media monitoring and outreach
One key area ChatGPT said it could help comms professionals is in monitoring and analysing media coverage more efficiently. It answered, ‘’Generative AI can quickly scan and categorise articles, tweets, and other social media posts, enabling PR teams to stay on top of the news and respond to emerging trends and issues.’’
The chatbot identified media outreach as another way to support PR teams, assisting them in ‘’identifying relevant journalists and influencers, quickly scanning databases of journalists and their previous articles, enabling PR teams to tailor their pitches to specific reporters and outlets.’’
2. Reputation management
Reputation management is another area of specialisation for PR professionals, which ChatGPT said it could enable them to do with greater ease. It stated, ‘’Generative AI can help PR teams manage their clients’ online reputation by monitoring social media and other online channels for mentions of the brand or key executives. This technology can quickly flag negative comments or reviews and provide insights into sentiment and key topics.’’
3. Crisis management
In a similar vein to the points above, ChatGPT said that its ability to quickly scan and monitor media trends can support comms professionals with managing a crisis. ‘’By monitoring social media and news sources, generative AI can assist PR teams in identifying emerging issues and responding proactively to mitigate damage to the brand’s reputation,’’ it wrote.
4. Content creation
Generative AI also has the ability to support with content creation by ‘’quickly generating press releases, blog posts, and social media updates, freeing up PR teams to focus on higher-level strategy and relationship-building activities.’’
Interestingly, ChatGPT revealed that, on its own, generative AI cannot replace the valuable time and effort communications professionals spend on strategy, planning, pitching and relationship building. Additionally, while it can create content quickly, the content is not necessarily better in quality than what would be produced by an experienced comms professional.
This technology has the potential to enable teams to do their jobs faster and more effectively by drawing on data that already exists to help reduce manual processes. It’s clear that there is still much more on the horizon for generative AI and how it will change daily operations. For now, it appears that it will be an innovative way to help teams go above and beyond for clients, allowing them to focus the majority of their time on the aspects of our jobs that are most valuable – devising new and creative campaigns, as well as producing original, thought-provoking content that makes an impact.
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