Accenture’s Post

This article is a quick coffee read on how we could learn...not just as individuals, but alongside intelligent systems. It can be a conversation, a collaboration, a co-evolution and learning: where human intuition meets machine autonomy, and both get sharper. The more I engage on topic of AI , the more I realize: the future of intelligence isn’t solo—it’s shared. AgenticAI #CoLearning #HumanAI #AdaptiveIntelligence #PersonalGrowth #FutureOfWork

The future of work won’t be humans vs. AI. It will be humans with AI. At Ascendient Learning, now part of Accenture, we see Agentic AI as more than automation. Humans and AI can partner by sharing tasks and leveraging each other's strengths. 🤝 Training is at the heart of this shift. Employees need more than technical know-how; they need practical, hands-on experience with AI agents. We teach teams how to implement guardrails for responsible use and give them the skills to co-create effectively with these tools. ➡️ Browse our live, instructor-led Agentic AI courses: https://lnkd.in/dq9f9fYC 💻 View our Webinar on "How to Lead AI and Human Hybrid Teams" here: https://lnkd.in/dSJhz7RC

84% of execs expect AI agents to work alongside humans in three years, but only 26% of employees have been trained to collaborate with AI. Co-learning is key to bridge this gap. Forbes has spotlighted our research exploring how organizations can create the conditions to unlock human + AI learning advantages for their workforces: https://accntu.re/41AqCNM

Executives say AI will soon be our coworker. Employees say: we’re not ready. A new Accenture study finds: 84% of executives expect AI agents and humans to work side by side within 3 years. Yet only 26% of employees have been trained on how to collaborate with AI. The key? What researchers call continuous co-learning, a two-way loop where humans and AI adapt to each other.

The fear that AI will replace humans at work is fast fading, with the focus now shifting to strategies for AI-human collaboration and co-learning. People leaders believe it’s time to retool, involve employees in AI deployment, ensure AI works collaboratively with humans, and anchor GenAI outcomes in decision-making. #AIInnovation #GenAI #AI

AI literacy isn’t optional for individuals or organizations. if you want to survive, let alone stand out, you’ll embed upskilking in your everyday processes.

From Korn Ferry: Is Learning AI like having a second job? There is a pressure on workers to master AI in the workplace by figuring out how to implement new AI skills for their own tasks. This is especially challenging when leaders don't share a vision for how they want AI to connect to their people’s everyday work. How can companies get past plans that are only on paper, and implement worthwhile AI gains? #KornFerry #ImplementAI #AIShaming #AIUseCases https://ow.ly/9fOK50WRvNp

Leaders who try to specify precisely how AI should be implemented across their organizations often find themselves building yesterday’s solutions for tomorrow’s problems. https://lnkd.in/g_vSNAxY

According to Korn Ferry's analysis, many employees feel that learning AI is like a second job. This is a major challenge for companies as they try to adapt to a world where AI is becoming more and more common. Half of all professionals feel that the effort required to learn these new skills is equivalent to taking on another full-time role. This issue is amplified by a few key factors: Anxiety and Overwhelm: Employees are being "bombarded" with information about AI, leading to anxiety and a feeling of being overwhelmed. LinkedIn data shows an 82% increase in posts from people feeling this way. Lack of Vision: Leaders often fail to provide a clear vision for how AI will actually connect to an employee's day-to-day work. This creates a disconnect between the strategic imperative from the top and the practical reality for workers. "AI Shame": A significant number of workers feel embarrassed about their lack of knowledge and are nervous to discuss AI at work for fear of sounding uninformed. This creates a culture of pretense where people pretend to understand more than they do. To help employees, companies need to reframe AI from a burden into an opportunity. This involves fostering a culture where it's okay to admit what you don't know. Leaders should serve as role models by being transparent about their own learning process. The key is to encourage small, incremental experiments that lead to tangible gains, which will help build a more widespread, bottom-up adoption of the technology. https://lnkd.in/g8xZA4Zr