businessinfomag.uk magazine 34 PRODUCTIVITY time adjustments, give real time updates and also take over some of the menial tasks we might still be doing today. From that team management perspective, I think we are going to see a difference in productivity next year,” she said. Anatoliy Polyanker, too, is expecting big AI productivity gains next year, along with a rise in multi-modality, using AI for text to image, voice to text and voice to video, as well as for text to text. He also anticipates a move away from labelling everything as AI, as has happened with GPS. “Back in the ‘90s, GPS was ground-breaking, but now we don’t say I use GPS. We refer to Maps, Google Maps, Waze, Strava, all these apps that have GPS. Maybe not within the next year, but in the future people won’t be saying I use AI, they’ll say I use this feature in Word or this feature in Google.” Looking ahead to 2029/30, Amelia Kallman responded to a question from an audience member about quantum computing by describing it as computing’s move from 2D to 3D. “Today we crunch ones and zeros, but tomorrow we’ll be crunching protons and neutrons and electrons, giving us multi‑dimensional capabilities and the ability to crunch data and get results even faster than we can with AI today,” she said. “Where quantum could be quite disruptive is that the encryption we rely on today to keep all our personal and professional data private is going to be able to be instantly broken with quantum computing. There is one country that is investing in this more than any other in the hope of being the first to get there. AI has sucked all the air out of the room for the moment, but we cannot lose sight of all these other technological advances that are coming down the pipeline, and we can learn from how reactive we have been with AI and be a bit more proactive about these opportunities as well as risks we know are coming.” Something for a future LogiWORK panel, perhaps. Wispr, a voice-first writing tool that lets you dictate responses to email and other apps almost four times faster than by typing. “Think about how you can apply this to your inbox. If you have just come back from holiday, you can tell your inbox to delete any email sent between August 21 and August 29, delete all promotional emails, prioritise emails from this client and all of a sudden you’re not looking at 400 emails, you’re looking at 20 that are really pertinent to you, and you have just saved yourself hours,” she said. From a management rather than a personal productivity standpoint, Anatoliy Polyanker recommends identifying the early adopters in your teams and making them AI evangelists. “These people will fool around with AI and will learn how to use new tools. They will bring insights and they will share best practices with the rest of the organisation. We’ve done it with our team and the overall level of AI awareness is growing,” he said. This is an approach that Grace Beverley feels strongly about, drawing an interesting analogy between AI and air fryers. “As a founder, what I really like to see is more and more sharing of the great things that we’re all using and all these new AI products that are coming out. You’re never going to use something if you don’t start integrating it. If you get an air fryer and you don’t use it in the first week, you’ll never use it, so you need to start integrating AI and make yourself use it,” she said. Future trends These comments speak to a trend that Amelia Kallman believes is going to have a major impact on AI adoption in 2025. “One thing that’s going to make a difference next year is that we are moving past how we use AI on a personal level and moving into how we’re using it for managing teams and managing projects. We’re going to see co-assistants that are going to have an overview of all the team members and people working on a project and be able to prioritise, do real clearly in a table. Any menial task that you might use an assistant or an intern to do, could probably be done by AI. That’s how I’m disrupting my routine.” She advises people, especially those who don’t identify as early adopters, to begin by measuring how long it takes them to complete everyday tasks. “One of our biggest downfalls is that we don’t have that good a hold on how long things take us. We have it in our head that composing a longer email takes 15 minutes, when a lot of the time it might take up to half an hour or 45 minutes. I used to recommend spending a week or two recording in a notebook what you did and how long it took you. Instead of that, start plugging it into ChatGPT. Get ChatGPT to learn how long you take to complete each very specific task. Then, when it comes to time-blocking at the beginning of your day, when you have several meetings and need to get a report done and respond to this and that, getting ChatGPT to time-block for you based on a memory and understanding of how long each of those tasks takes could be hugely effective.” Useful apps Amelia Kallman also advocates learning through experimentation and recommends leaving time in your schedule to discover new AI apps, such as USnap, which employs all the large language models in one application with 30 different personas for writing in different styles, and Flow from continued...
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