• How business leaders can manage integration of AI

    From TechnologyDaily@1337:1/100 to All on Tuesday, July 01, 2025 09:15:07
    How business leaders can manage integration of AI

    Date:
    Tue, 01 Jul 2025 08:00:39 +0000

    Description:
    AI is a useful tool, but it's just that - a tool and it cannot replace that gut feeling or connection that a great leader of any team has.

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    2023 was the breakout year of AI and since then its been going from strength to strength. Its seen as the solution to everything from productivity and a skills gap to fixing the NHS, with Tony Blair calling for AI doctors and chatbots to save the health service.

    There has been an explosive growth of generative AI with most companies using it in at least one of their business functions. Its gone from being a subject discussed by tech teams to something regularly mentioned in the boardroom.

    According to a survey of C-suite executives, 40 percent say their companies will increase their investment in AI tools overall.

    And whilst there is no doubt AI is developing in accuracy, I do not believe
    it can replace humans in every single area and one in particular emotional intelligence. Over-reliance on AI in business

    Over-reliance on AI in business risks removing that vital input from key decision making and team building and runs the risk of making some areas of leadership redundant at significant cost.

    The costs might not immediately show up on a PNL spreadsheet , but they will be felt in other areas where it might not be so easy to quantify.

    AI is a useful tool, but it's just that - a tool and it cannot replace that gut feeling or connection that a great leader of any team has. Thats the
    magic which turns a group of disparate people into a team the sum of which
    is greater than its parts.

    My concern is that we need to strike the right balance between our use of technology and building and developing our own skills. If all we do is put resources into AI at the expense of other training and development, or
    replace people with machines, we will be the worse for it.

    In short, I worry that people will become reliant on AI and could lose that innate human element that we bring to leadership and team building. Leaders have understanding and insights

    Leaders have understanding and insights built over many years which cannot be replaced by data or machines. If AI cannot find the answers to a question, it can make things up. Look at the infamous court case in America which made headlines in May 2023 when a law firm, Levidow, Levidow & Oberman got caught citing fake cases generated by ChatGPT.

    The soft skills which good leaders at all levels have make the difference between a good leader and a great leader cant be replaced by software . These personal qualities enable people to interact effectively and successfully
    with others: communication, teamwork, problem-solving and adaptability not
    to mention empathy.

    These should be highly valued in the workplace, and especially by leaders, as they contribute to improved teamwork, productivity and overall job satisfaction.

    My experience of working in elite sports has shown me that humans cannot just be replaced by technology, no matter how smart. AI has a role to play

    AI has a role to play in any team, particularly with more basic tasks of information gathering or data analysis, but it cannot replace the power of a human connection.

    An emotionally intelligent leader goes beyond the numbers and knows their team. AI cant pick up that real emotional response, and it can't read people like humans do.

    Its machine learning for a reason it uses whatever data you pump into it but there are just some cues and traits which cannot be quantified and thats what cannot be replaced.

    We've used technology and data in sport for a long time; elite sports is incredibly data driven. We've got all the information that says the players should train at this point because they are due to pull a hamstring or
    develop another injury or over train.

    And whilst it's useful to have that information, it should be used as a
    guide.

    I've seen many top-level coaches when the sports scientists are running over, saying we need to stop training now.

    But the coach looks at the players and can see that the players can continue for another ten minutes, and hes pushed the players through.

    The data could also get it wrong and put players at risk by pushing them too much whereas a coach will see if his players look physically fatigued and
    need to stop training early. Costs of bad investment

    The costs of misreading that at elite sports level go beyond the investment
    in a machine: were talking millions of pounds worth of players or the opportunity to achieve a lifetime goal of a medal on the world stage.

    And even when Olympic golds arent in the picture, the impact of a toxic working environment is felt not only in the lower productivity or staff turnover but in more personal impacts on someones health and sense of value.

    This knowledge and consequent decision making comes from the human understanding of people. In my 25 years of working in both a team and in a leadership role in sports I have yet to see a coach who has got that wrong.

    Because weve used data in sports for so many years I think it provides a lesson for other areas on how we can use AI: as a way of gathering data, of making predictions or analysing patterns but only as a tool to help inform
    our own human-driven intelligence.

    To rely on AI wholly would be a mistake: nothing can replace that human intelligence.

    We've compiled a list of the best data visualization tools and the best business intelligence platforms .

    This article was produced as part of TechRadarPro's Expert Insights channel where we feature the best and brightest minds in the technology industry today. The views expressed here are those of the author and are not necessarily those of TechRadarPro or Future plc. If you are interested in contributing find out more here: https://www.techradar.com/news/submit-your-story-to-techradar-pro



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