Practicum Strategy

Though many people may reject AI outright, it is here now and is undeniably helpful in a variety of use cases. The communications field is now coming to terms with that reality. It’s important to note that without sophisticated, intentional direction by humans, AI cannot provide value.

Human judgment and evaluation still surpass AI capabilities, and rightly so. AI can accelerate research at scale, but strategy, empathy, and storytelling remain human domains. Machines can draft, analyze, and automate; people validate, refine, and align with mission.

Meanwhile, risk management extends into all use cases. In the bigger picture, ROI is the only measure that really matters. Let’s break this down.

Human skills remain irreplaceable:

• Intention and purpose: Human input drives communications and provides direction to story development.
• Judgment & crisis management: Credibility, ethics, and accountability are human responsibilities.
• Authentic storytelling & connection: Narratives that resonate are rooted in lived experience.
• Emotional intelligence & empathy: Authentic connection in sensitive situations cannot be replicated.

AI’s role is clearest in four areas:

• Content generation & scalability (Mature – High Value): Produces high-volume drafts quickly. Human oversight preserves accuracy and voice.
• Data analytics & predictive modeling (Mature – High Value): Processes unstructured datasets at scale. Humans convert insights into actionable strategy.
• Audience understanding & personalization (Developing – Moderate Value): Enables hyper-personalized communication but fails with nuance and irony. Human interpretation prevents error.
• Operational automation & efficiency (Mature – High Value): Automates scheduling, summarization, and reporting. Overreliance risks organizational deskilling without investment in human capacity.

Adoption of a hybrid workflow demands proactive risk management:

• Bias: Algorithms replicate inequities. Regular audits and diverse data are essential.
• Transparency & factual accuracy: AI errors require mandatory human validation and disclosure.
• Organizational resilience: Overreliance on vendors weakens capacity. Build internal literacy.
• Cultural resistance: Skills gaps stall adoption. Continuous training is required.

The path forward is hybrid: humans for trust and strategy with AI for speed and data. Regardless of the outputs, the bottom line question remains: did the output achieve the intended outcome and was the investment of time, energy and resources justified?