TribuESK - How AI Will Transform Work in 2024: Perspectives from Executives and Experts

How AI Will Transform Work in 2024: Perspectives from Executives and Experts

Artificial intelligence (AI) continues its unstoppable advance, and in 2024, its impact on the job market will be more significant than ever. According to executives and experts, this technology brings both opportunities and challenges. Here, we explore how AI will affect your work next year, based on opinions from industry leaders and trend analyses.

The AI Revolution and Its Transformative Potential

José María álvarez-Pallete, CEO of Telefónica, asserts that we are in the midst of the greatest technological revolution in history, one that could have a more significant impact than the printing press. According to the consulting firm Gartner, AI will create 500 million new jobs in the next decade, surpassing the number of positions it will displace. However, concerns about job destruction and inadequate regulation persist among many workers.

Talent Shortage in AI: A Persistent Challenge

The demand for AI experts is high, but the supply is insufficient. This talent shortage is expected to continue in 2024, as companies seek to integrate this technology more extensively into their operations. Mario Reiter from Evolutio, Silvia Leal from Evercom, and David Marcos from Innovery agree that this lack of specialists will remain a significant problem.

In 2024, roles such as AI data scientists, machine learning engineers, and AI ethics specialists will be highly sought after. However, positions like prompt engineers may see a decrease in demand as this skill becomes integrated into other existing profiles.

Democratization of AI Knowledge

A solution to the shortage of experts could be the training of non-technical professionals. According to Sergi Ortiz from Shimoku, the trend is towards more accessible use of AI, similar to how computing has been democratized. No-code or low-code tools will allow more people and companies to innovate without requiring deep technical knowledge. This will facilitate the inclusion of professionals from various disciplines, such as developers, linguists, and designers, into the AI field.

Impact of AI on Employment

The impact of AI on employment will remain a concern in 2024. According to McKinsey, it is expected that by 2030, 29.5% of current work hours will be reduced due to automation, largely driven by generative AI. However, most experts see AI as an ally rather than an enemy. James Fisher from Qlik suggests that workers need to adapt and learn to use AI to enhance their productivity and contribute to their organizations' success.

AI in Technology Companies and Other Sectors

Technology companies will not be the only ones benefiting from AI. Professionals in various fields, such as lawyers and consultants, will also need to update their knowledge in this technology. Joaquín Mu?oz from Bird & Bird and Marc Torrens from Esade highlight that understanding AI will be essential for advising on compliance and developing new applications and business models. In 2024, fewer AI engineers and more experts in the practical application of this technology will be needed.

AI and Recruitment: Revolutionizing the Hiring Process

AI is significantly transforming the recruitment process. Platforms like tribuesk.space are at the forefront of this revolution, using advanced AI to offer efficient and effective recruitment solutions for all types of jobs, including remote positions.

Automation of the Selection Process

Automation of the selection process is one of the main ways AI is changing recruitment. AI algorithms can quickly analyze large volumes of resumes, identifying the most suitable candidates based on skills, experience, and other relevant criteria. This not only saves recruiters time but also increases accuracy in candidate selection.

Example: Companies like Unilever have implemented AI to filter initial applications, using chatbots and video analysis to assess competencies and personality, which has reduced hiring time and improved the quality of hires.

Improving the Candidate Experience

AI is also improving the candidate experience during the hiring process. AI-powered chatbots can provide instant responses to candidate inquiries, guide them through the application process, and offer real-time feedback.

Example: The tribuesk.space platform uses chatbots to interact with candidates, resolve their questions, and keep them informed about their application status, significantly enhancing candidate satisfaction.

Predictive Analytics for Talent Retention

Predictive analytics is another area where AI is making significant advances. By analyzing historical data and trends, AI systems can predict which candidates are more likely to succeed in the long term within a company and what factors may influence their retention.

Example: IBM uses AI to predict employee turnover and recommend specific interventions to retain key talent. This has allowed the company to significantly reduce its turnover rate.

Eliminating Bias in Recruitment

One of the biggest challenges in recruitment is eliminating unconscious biases that can influence hiring decisions. AI algorithms can be designed to focus solely on relevant competencies and qualifications, helping to create a more fair and equitable selection process.

Example: The company Pymetrics uses neuroscience games and AI algorithms to assess candidates' skills and personality traits, without considering factors that could introduce biases, such as gender or race.

Recruitment in Remote Modality

The COVID-19 pandemic accelerated the adoption of remote work, and AI has played a crucial role in facilitating the recruitment of remote workers. Platforms like tribuesk.space are designed to connect companies with candidates from around the world, using AI to assess the skills necessary for remote jobs and ensure candidates fit the company's culture and expectations.

Example: GitLab, a company that operates entirely remotely, uses AI to evaluate candidates' compatibility with remote work, analyzing factors such as self-management, virtual communication, and the ability to collaborate in distributed teams.

Personalization of the Recruitment Process

Personalization is another key trend driven by AI in recruitment. AI systems can personalize the hiring process for each candidate, offering job recommendations based on their skills, interests, and career trajectory.

Example: LinkedIn uses AI to provide personalized job recommendations to its users, analyzing their profiles and behaviors on the platform to suggest the most relevant opportunities.

Additional Insights and Data

Real-Time Skill Gap Analysis

AI can provide real-time insights into skill gaps within an organization, allowing companies to proactively address workforce needs. Tools like LinkedIn’s Economic Graph use AI to analyze labor market trends and help organizations identify the skills they need to develop or acquire.

Example: LinkedIn's Economic Graph has been used by cities and governments to understand workforce trends and plan economic development initiatives.

Enhancing Diversity and Inclusion

AI can also support diversity and inclusion initiatives by identifying diverse talent pools and ensuring fair hiring practices. AI-driven platforms can analyze demographic data and suggest strategies to improve diversity in hiring.

Example: Entelo, an AI-powered recruitment platform, helps companies build diverse teams by identifying and engaging with underrepresented talent.

Continuous Learning and Development

AI facilitates continuous learning and development by providing personalized training recommendations based on employees’ current skills and career goals. This ensures that employees can continuously upgrade their skills in line with industry trends and company needs.

Example: Degreed uses AI to recommend learning paths and resources tailored to individual career aspirations and organizational requirements.

Conclusion

The year 2024 promises to be a period of significant changes driven by AI. From the creation of new jobs and the need for cross-disciplinary training to the redefinition of roles and the democratization of technology, AI will continue to transform the job market. Adapting to these changes will be crucial to leveraging the opportunities this technological revolution offers.

Platforms like tribuesk.space are at the forefront of this transformation, using advanced AI to revolutionize the recruitment process and connect companies with the best talent, regardless of location. Prepare for the future of work with AI and ensure you stay ahead of this transformation!