How schools and industries can unite

As new technologies cause a rapid development in the workplace, a complaint commonly heard among business leaders is: “We do not find workers who have the digital skills we need.” However, one could easily turn the tables by asking business leaders in the industries: “What practical steps do you take to make sure that schools are equipped with tools and understanding to teach these skills?”

Artificial intelligence is revolutionizing the way companies through the sectors work, and business and educational leaders must work together to ensure that industries have access to qualified professionals they need and new graduates are prepared for what awaits them in the world of work. Below, the members of Forbes Technology Council Share practical ways of schools and companies can come together to ensure that the next generation is ready for a workplace dominated by AI.

1. The projects have focused on creating AI in addition

While models of large languages ​​evolve to simply answer questions to thought and act alone (reasoning chain), education must move from teaching to people to use AI to help them think better next. Schools and companies should work together through AI practical projects, real case studies and mentoring so that future generations can push AI to do more instead of simply following orders. – Jae Lee,, Mblm

2. Integrated learning AI

Foster learning integrated AI where students acquire a practical experience with real world applications. Companies can provide mentoring, AI projects and industry ideas, while schools integrate literacy, ethics and problem solving in programs. This synergy guarantees that students are developing practical skills of AI aligned on labor demands. – Timothy Kang,, Fayston preparatory school

---

Forbes Technology Council is a community only at the invitation for CIOs, CTOs and world -class technology executives. Am I qualified?

---

3. AI learning labs

Companies and schools can collaborate by creating AI learning laboratories – joint spaces where students are involved with AI to promote human creativity and productivity. Industry volunteers could supervise students on real world applications such as data analysis and automatic learning, educate by practical experience. This prepares future talents for an AI labor market while strengthening the links between industry and the university world. – Emre Kazim,, AI HOLISTIC

4. Integrated curricula AI

Thanks to joint practical collaborations and AI integration programs, students can see first -hand how AI improves productivity – with a human contribution. Focus on teaching future workforce to take advantage of AI for the rationalization of tasks, increased commitment and more intelligent decisions. Thanks to this strategy, students can learn to exploit AI as a powerful tool to stimulate innovation and improve results, whatever their field. – Chase Williams,, Pathize

5. Mentor of industry experts

Companies and schools could associate with practical AI projects in which industry experts supervise students. Companies could provide data and real world challenges, while schools integrate them into their programs. Students will acquire practical experience with AI tools and will find out about ethical considerations, while companies help shape a ready workforce for future technological requests. – Neel Sendas,, Amazon

6. Open discussion platforms

Companies and schools should focus on keeping students informed of the latest IA advances. They should organize open discussion platforms where students can share their thoughts, ideas and future visions concerning AI. If necessary, schools can also organize training sessions using local businesses featuring discussions on case studies and use cases. – Manish Mittal,, OpenSource Technologies Inc.

7. Partnerships with local universities

Companies can associate with local universities to help K-12 schools prepare future generations to adapt to an AI-focused labor market. They can get more involved through STEM competition sponsorships, programs and speaker events, and companies can create solid internship programs to give students experience in the application of AI in their daily roles. – Igor Rikalo,, O9 solutions

8. Sponsorship of STEM and digital skills programs

Companies should sponsor STEM programs and strengthening digital skills in kindergarten schools in the 12th year – it is particularly necessary In rural, urban and low -income areas. We must find and train enough talents to fill in a labor market covering all roles and industries, which means investing in students who need additional support. Offering learning and scholarships can give them the technological skills of the real world necessary for commercial work and software. – Marne Martin,, Reinforcement

9. Free access to the tools directed on the AI

Companies that develop AI -focused tools can fill the skills difference by offering students free access for practical learning. This exhibition not only gives future talents of real IA experience in the real world, but also guarantees businesses a workforce already trained in their technology. – Julius černiauskas,, Oxylab

10. Groups of sandboxes

Sitting on both sides – Academy and Industry – I used this strategy several times: create groups of sand bins where a group obtains entry and exit variables, and another simply obtains entry variables and is invited to simulate outputs. This prepares students to use AI and advanced analysis models to solve existing problems and to explore new solutions, whose skills are necessary on the new AI -based labor market. – Will bring back (RAM) Singh,, Nocturnal market (Horizon Media)

11. Assignments that require the use of AI tools

Make the use of tools a necessary part of the realization of assignments. Knowledge workers of the future will have to maximize their production by completing their efforts with AI. Instead of discouraging students from these tools, start to demand their use now. Even with AI support for tasks such as research, publishing copies or the basic structure of assignments, teachers will have a lot of room to note creativity, varnish and understanding. – Dave Rosen

12. ‘Ai Shadow Days'

Companies could create “AI shadow days” when students work alongside professionals to rethink traditional jobs using AI. They will discover in the first hand how roles like accounting or marketing evolve and reflect on what new jobs could emerge. This puts the script from learning existing AI to the imagination of its future impact. – Abhishek Sinha,, Emphasis

13.

Create real IA projects for students. Companies can associate with schools to design practical challenges, such as building chatbots or analyzing data sets. For what? Because the theory is great, but the practice makes it perfect. Students manage to tinker with AI tools, companies spot new talents and everyone wins. It's like a sandbox for the future workforce-play today, head for tomorrow. – Dmitry Mishunin,, Hatch

14. An evolution of development towards problem solving

The emphasis placed on the test of students on their ability to recall and recite known facts, formulas, dates and concepts must give way to testing their ability to assess the information provided, to work between teams to solve complex problems and demonstrate creativity to develop innovative solutions in real situations. It is only with this change in focus that we can prepare them to succeed in the AI-increase future. – Emily Lewis-Pinnell,, Teen

15. Ensure the needs and programs of the industry are synchronized

Schools should collaborate with companies to ensure that courses and programs are synchronized with industry requests in terms of skills. Having the fundamental skills that industry requires ensuring rapid employment and many opportunities. In addition, programs such as cooperatives, internships, “Day in the Life” commercial visits and other collaborative events would offer the next generation a richness of knowledge and experience. – Abhi Shimpi

16. Develop synthetic or private data sets

Industry and universities are already collaborating in the fields of biotechnology and bioinformatics. An obstacle to this collaboration is the sensitivity concerning the sharing of IP and the confidentiality of patients. AI and related technologies can help to mitigate this problem by generating synthetic or differential data sets and providing those available to students and researchers. – Eric Novik,, Generable Inc.

17. Small scale projects and technology focused

Companies and schools can collaborate to respond to daily ineffectiveness through small -scale projects and technology -oriented. These micro-users can optimize daily operations via AI, offering business value, while providing students with practical experience and industry information. – Andrea Prazakova,, Braingym

18. Digital twin courses

Start twin digital courses in which schools and businesses work together to create AI simulations of real work processes. Students can manage tasks -based scenarios in an almost real framework with remote advice from industry mentors. This method connects academic ideas to the problem of real AI problems, helping graduates to acquire useful modern skills before joining the labor market. – Dr Reji Thomas,, Biotechnology

19. Research and long -term design projects

Schools and businesses could create learning programs based on AI projects where students are concerning real world challenges using AI tools. Projects can be structured as multiple assignments, students looking for, designing and testing solutions. This practical approach strengthens critical thinking, teamwork and creativity while preparing students for future careers. – Shrushti Kenekar,, Global partners