According to Adobe's CMO, the number one question from customers about new AI tools is not about features, but about how to get their teams to adopt them. The solution lies in identifying internal champions who are excited about the change and can act as catalysts to bring others along.

Despite proven cost efficiencies from deploying fine-tuned AI models, companies report the primary barrier to adoption is human, not technical. The core challenge is overcoming employee inertia and successfully integrating new tools into existing workflows—a classic change management problem.

Even among founders of AI-first companies, the most pressing issue is not technology but the cultural and operational challenge of integrating humans and agents. The primary struggle is getting teams to work with agents effectively and figuring out how roles must change.

The biggest resistance to adopting AI coding tools in large companies isn't security or technical limitations, but the challenge of teaching teams new workflows. Success requires not just providing the tool, but actively training people to change their daily habits to leverage it effectively.

Implementing AI is becoming less of a technical challenge and more of a human one. The key difficulties are in managing change, helping people adapt to new workflows, and overcoming resistance, making skills like design thinking and lean startup crucial for success.

Despite the power of new AI agents, the primary barrier to adoption is human resistance to changing established workflows. People are comfortable with existing processes, even inefficient ones, making it incredibly difficult for even technologically superior systems to gain traction.

Implementing AI in an existing company is less of a technical challenge and more of a "human engineering" problem. The primary difficulty lies in managing employee anxiety, redefining roles, and fostering a culture where people feel elevated by technology, not replaced by it.

Despite mature AI technology and strong executive desire for adoption, the primary bottleneck for enterprises is internal change management. The difficulty lies in getting organizations to fundamentally alter their established business processes and workflows, creating a disconnect between stated goals and actual implementation.

Despite AI's potential, large enterprises struggle to see bottom-line impact. The primary hurdle isn't the tech, but the human challenge of "change management"—overcoming bureaucracy and altering complex, undocumented workflows within large organizations.