Serenity Gibbons is a Contributor at Forbes. She covers a range of topics including entrepreneurship, leadership, and workplace culture, with a focus on female leaders, employee retention, and corporate sustainability. Serenity's insights into marketing, human resources, and the impact of AI on business make her a prominent voice in the field.
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Serenity Gibbons primarily covers "How To Guides" and often cites data to support her articles. She focuses on topics related to finance, business & industry, digital experience, startup coaching, employee support, business growth, automation, branding and leadership.
If you are looking to reach out to Serenity Gibbons with a pitch or expert commentary suggestion for an article topic in the finance or business sectors that involves how-to guides supported by relevant data or statistics within any of the mentioned topics such as digital experience strategies or AI impact on job market trends for 2024 then it is likely that your outreach will be well-received.
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When people talk about AI changing business, the conversation often gets loud very quickly.
Business owners often discover operational inefficiencies, like overstaffing or wasted time, only after they've impacted finances. The article highlights that while data exists, it's frequently analyzed too late for effective decision-making. However, new AI tools are changing this by enabling real-time problem detection. AI can identify capacity issues, optimizing schedules and workflows to prevent unnecessary resource additions. It also monitors daily operational losses, such as unauthorized discounts, before they accumulate. Furthermore, AI helps track customer experience signals in real-time, allowing businesses to address issues before they escalate. The key is using AI to quickly analyze existing data, transforming reactive problem-solving into proactive management.
Growth creates opportunities, but it also brings operational friction. Here is how leaders can use systems to scale without losing the human touch.
As AI tools improve and expand capabilities, it's up to leaders to maintain a human edge in how they're used.
While companies initially focused on AI innovation and rapid adoption for productivity, the real challenge has shifted to governing this powerful technology. Issues like liability, compliance, and oversight are now engaging boardroom stakeholders. Effective AI governance, which includes clear policies and accountability, is becoming a competitive advantage, enabling innovation and building trust. Legal departments are increasingly leading AI strategy due to its intersection with privacy and intellectual property. Flexible governance frameworks are essential to adapt to rapidly changing AI capabilities, as the future of enterprise AI adoption hinges on trust and responsible management, not just technological prowess.
Implementing artificial intelligence successfully requires balancing innovation with oversight, forcing executive leaders to rethink tech management.
Dynamic systems and AI integration are shifting enterprise priorities from short-term productivity to long-term resilience.
It’s time to stop paying lip service to the end of the customer journey. Here are three ways to transform that last step into the beginning of a more important one.
A professional shares how six impactful books reshaped her definition of success beyond career achievements, emphasizing self-awareness and intentional living. Alexander Kopelman's *For Real* promoted authenticity and trusting instincts. Will Guidara's *Unreasonable Hospitality* highlighted intentional kindness in relationships. Niki Elliott's *Heart Centered Connections* focused on emotional safety and empathy. James Clear's *Atomic Habits* provided a roadmap for lasting behavioral change through small actions. Emily & Amelia Nagoski's *Burnout* stressed the importance of stress recovery. Finally, Mischa Oak's *Rainbow Wisdom* encouraged embracing growth and authenticity. These reads collectively fostered personal growth, challenging assumptions and leading to a more fulfilling life.
Leaders must proactively address key business red flags in 2026 to avoid derailment. Cybersecurity remains paramount, especially with advanced AI models posing new threats; companies need robust, company-wide protocols like multi-factor authentication and privilege audits, integrating digital hygiene into a comprehensive framework. AI adoption brings governance and compliance risks, requiring careful data classification, staff training on AI access, and secure data storage solutions to navigate global privacy laws. Economically, leaders should diversify supply chains and adopt flexible financial forecasting to counter geopolitical conflicts and natural disasters. By focusing on these proactive strategies, businesses can navigate the year's challenges effectively.
