I’m optimistic about AI’s impact. Jobs may evolve, but AI creates opportunities for better roles — freeing people from repetitive tasks to focus on bigger, strategic challenges. Working with AI makes us stronger, combining the efficiency of technology with our creativity, critical thinking, empathy and problem-solving. We hear the polarizing view that AI is coming for jobs, but the reality is that it offers a powerful opportunity to improve how we work, not diminish it.
No CEO wants to cut their team. Every leader wants their company to grow and succeed. To make that happen, many are turning to AI to help supercharge their employees. The goal isn’t to reduce headcount; it’s to make each individual stronger and more efficient, and their business more competitive.
LLMs can take the convergence of AI and BI further by enabling natural language queries, generating insights on demand, and automating fully customizable reports and dashboards. They help teams surface trends, predict outcomes, and make data-driven decisions faster and more intuitively. As LLMs advance, they promise smarter, more adaptable tools that save time, improve decision-making and strengthen every level of an organization. The future isn’t just BI or AI — it’s AI + BI, giving leaders useful insights while cutting out tedious tasks.
Embracing AI today requires tough conversations. It may involve reallocating resources or shifting priorities in other areas, but the opportunities AI brings are too significant to ignore. Leaders who adopt AI early will position their companies for efficient growth, while those who resist risk falling behind — and with that lag could come the difficult reality of potential layoffs.
The truth is, there’s no use fighting against AI. It’s already here and rapidly advancing. The real question for the C-suite is how quickly they will adapt. Those who welcome this shift will find that they can grow without having to make painful cuts, building a future where their team is more productive, resilient and maybe even happier. Tedious tasks can be soul-breaking work, and humans were meant for something greater. AI frees teams to focus on meaningful, impactful contributions.
How are your GTM teams using AI and BI today? What’s working? What sucks?