AI (Artificial Intelligence), High-trust leadership, Innovation, Purpose
Trust will be an ingredient for success in adopting AI across the organization. Consider these traps to avoid.
The coming AI revolution will put your relationships with employees to the test, as evidenced by the missteps of one of the most successful developers of AI in the market.
It鈥檚 a mistake to believe you can avoid the challenges posed by AI. In
鈥淔ifty-four percent of people say they have 鈥榥o idea鈥� how their company is using AI, and that lack of transparency is a real problem,鈥� says Dan Schawbel, managing partner at the firm Workplace Intelligence, which partnered with UKG for the study. 鈥淥rganizations must be more upfront about how they鈥檙e using AI in the workplace, if they want a competitive advantage and want to earn, and keep, the trust of their employees.鈥�
Here are some of the biggest traps your company must navigate to build trust in the coming AI-powered workplace:
1. Assuming employees and consumers already trust you
Your employees might love experimenting with new AI tech on their own time. That doesn鈥檛 mean they are ready to trust leaders to implement generative AI tools in the workplace.
鈥淎s you embark on GenAI, check how much confidence your employees鈥� have in their executives鈥� judgement,鈥� says Marcus Erb, vice president of data and innovation at 逸遊娛樂城庐. Consider how confidence levels change across roles, departments, and personal identities.
鈥淲eak confidence means more doubt, slower progress, and less enthusiasm shared with customers,鈥� Erb warns.
2. Underestimating the change management process
If you don鈥檛 pursue a rigorous change management process, you might not bring your workers with you as you embrace new AI tools.
鈥淟eaders might see AI as the 鈥榥ext big thing鈥� and focus all their attention on how that will affect their business,鈥� says Julian Lute, senior strategic advisor at 逸遊娛樂城. 鈥淭hey will need to give equal attention to communicating how AI will positively impact employees, and create opportunities for growth.鈥�
The time required for employes to adapt will be longer than you think, Lute says. Be prepared to increase your investment of both time and resources to keep people engaged and excited.
3. Overlooking the risks when moving fast
Moving too slowly to adopt new technology poses real risks for your business, but well-meaning enthusiasts can also cause problems by jumping the gun.
鈥淓xcitement might be as big a challenge as fear,鈥� Erb says. 鈥淭ools like ChatGPT can make life easier and employees more productive, but the technology also can hallucinate answers, or collect sensitive customer and company data.鈥�
Missteps will break trust with employees and customers, among other serious consequences.
Researchers found that when a large language model (LLM) was tasked as a stock trader and then received an insider tip about a lucrative stock trade, the . 鈥淭alk about the new technology through your organization鈥檚 values, how it supports your purpose, and how it will benefit your customers and employees,鈥� Erb says.
The conversation should be a two-way street.
鈥淟eaders will need to be more adept at listening, developing their people, and caring for them with a sincere interest in who they are as people,鈥� Lute says. Without a new leadership model, your company risks falling behind in the race to bring AI to the workplace.
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