Why AI-Powered Distributed Teams Will Have an Advantage in 2023

Emerging technological and cultural shifts are changing how we work and interact in the workplace and shaping the future of work in the most exciting and innovative ways. As the workplace continues to evolve and adapt, AI-powered productivity tools promise to streamline workflows, provide intelligent insights, automate tasks, and provide thoughtful insights. 

Combining AI with distributed, global teams promises to revolutionize how we work, collaborate, and approach software development in the enterprise in ways that were previously unimaginable.

This article explores the power of AI-powered distributed tools and teams and why it’s the way to go in 2023 and beyond. 


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The Rise of Remote Work 

Rapid technological development and adoption continue to change how humans interact in the workplace. The rise of remote work is among the most significant trends over the past year, and it’s expected to continue as most companies adopt the future of work.

While the shift toward remote work brings numerous benefits, including reduced costs, increased productivity, and access to a global talent pool, it introduces new challenges like managing remote teams and offering employees the necessary technology to work away from the office.

As we approach the brink of an economic downturn, harnessing the potential of AI-powered distributed teams is one of the best ways to balance the scales and tackle emerging problems.

What are Distributed Teams?

Distributed teams are employees working together but based in different geographical locations. These employees don’t have a centralized office location or physical headquarters to work from, and they all collaborate on projects as they work remotely.

Distributed teams may also be made up of full-time employees, contract workers, freelancers, agencies, and other team members outside the traditional organizational structure. Learn more about the benefits of working with distributed teams

Like remote setups, distributed teams rely on modern tools and technologies to perform roles, collaborate, and communicate with colleagues. 


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Since distributed teams don’t meet or work in a physical location, they perform all their tasks using team management tools and technologies. Whether swapping messages, giving presentations, or discussing project details, the tools are designed to offer a range of features, such as real-time progress tracking and automated task prioritization, to help teams remain focused and organized as they work to achieve objectives. Similarly, outsourced distributed teams and project owners stay connected in real time, regardless of location.   

Why Outsourced Distributed Teams Powered by AI Will Flourish in 2023 

With the increase in demand for project management tools for distributed teams comes a new applications of AI and machine learning (ML). Gartner [1] predicts that AI tools powered by ML, big data, and natural language processing (NLP) will run 80% of project management tasks by 2030. Many platforms already support startups and early adopter enterprises with project management and applying these radical changes.

Gigster is already seeing incredible success managing our outsourced distributed teams using our AI-powered project management platform. Here are some of the benefits we expect to become even more valuable in 2023.


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Easily Scale up and Down

As the possibility of an economic downturn becomes a reality and companies contemplate letting go of their workers, leaders must make tough decisions to keep their companies afloat and survive the crisis. While adopting remote work as an alternative can help companies downsize and spend less money on office space, rent, and equipment as they work from home, you’ll still have them on your payroll.

The experience of most companies in the aftermath of the pandemic has disapproved the deeply rooted belief that distributed teams are disengaged and unproductive. Companies are increasingly reducing their in-house teams and leveraging fully managed, globally distributed teams of experts leveraging cloud technologies to accomplish projects at lower costs. 

The benefit of being able to scale up and down quickly as the need arises is that you don’t need to spend resources on hiring, training, and up-skilling your current employees when you can get the job done from a highly skilled talent pool that you can tap into when the need arises.

By using distributed teams spread in different geographical locations, companies will be opening their doors to talent from different backgrounds and proficiencies only as and when needed. The diversity of talent also translates to new ideas, new perspectives, and a better bottom line. 

Talented Employees Are Harder to Find and Retain 

Despite The Great Resignation and recent layoffs as leading tech companies shed off workers (Crunchbase research [2] shows the tech industry cut 234,000 workers last year and 94,000 since January 2023), it’s harder for companies to find and retain tech talent. Available data [3] from a January Job report indicates a slowdown in tech unemployment, with over 109,000 unfulfilled jobs in IT for lack of “qualified candidates.” 

The high demand for tech talent means employees have the freedom to be picky and on the lookout for more flexibility, brand reputation, and growth opportunities. This mismatch can be explained by the fact that hiring is expensive and takes too long (at least seven weeks on average), making it the most challenging time to retain talent in the history of employment.

Moreover, there’s a severe shift in employee mindsets, with most workers shunning the 9-to-5 work from a windowless cubicle mentality and demanding a work/life balance. 

As AI reaches mainstream adoption in 2023, companies will be choosing to become more efficient using AI-powered project management tools to ensure they get the right talent for their projects. Advanced technology is now available to facilitate distributed teams using asynchronous work that’s been proven to deliver up to three times the speed of traditional project management styles in the tech sector.

Companies can now free themselves from the challenge of hiring in-house teams and employ the faster and cheaper option using uniquely qualified talent to accomplish high-quality projects without significant investments.

Facing the Future of Work with AI in 2023

The potential risk of a prolonged economic downturn is stealthily sneaking up on us with high inflation impacting costs and consumers’ purchasing power negatively impacting jobs. At the same time, technology continues to shift job roles in the tech sphere. A 2023 World Economic Forum report [4] on the Future of Jobs found that technology will impact the job market positively in the next five years.     

As remote work becomes more prevalent, businesses have recognized the benefits of embracing digital transformation. To gain a competitive edge, tech firms will be better off outsourcing their software development projects to distributed team platforms that have invested heavily in AI-based technology and infrastructure, cloud-based technology tools, and collaboration tools to facilitate remote work.  

The ongoing economic situation is enabling tech enterprises to increasingly adopt remote work and access highly-skilled talent from across borders at a time when the modern workforce prefers flexibility and autonomy.

With a Zippia study [5] showing that up to 68% of U.S. workers would instead work remotely and Wired Magazine reporting top talent desires ultimate flexibility, AI-distributed teams will subsequently become more common in remote work, with experts predicting over 36 million U.S-based workers will be working remotely by 2025, surpassing pre-pandemic levels by 417%.

As we head deeper into 2023 and invest more heavily in the future of work, now is the time to select a proficient and seasoned outsourcing firm, such as Gigster, to assist your company in achieving greater operational efficiency, enhancing customer experience, minimizing risks, and decreasing operating expenses while creating customized software.

Resources:


1. Gartner (2019). Gartner Says 80 Percent of Today’s Project Management Tasks Will Be Eliminated by 2030 as Artificial Intelligence Takes Over. [online] Gartner. Available at: https://www.gartner.com/en/newsroom/press-releases/2019-03-20-gartner-says-80-percent-of-today-s-project-management.

2. Vedantam, K. (2023). Tech Layoffs: US Startups And Tech Companies With Job Cuts In 2022 and 2023. [online] Crunchbase News. Available at: https://news.crunchbase.com/startups/tech-layoffs/.

3. U.S. BUREAU OF LABOR STATISTICS (2022). Employment Situation Summary. [online] Bls.gov. Available at: https://www.bls.gov/news.release/empsit.nr0.htm.
 
4. World Economic Forum. (2023). The Future of Jobs Report 2023. [online] Available at: https://www.weforum.org/reports/the-future-of-jobs-report-2023/.
 
5. Flynn, J. (2022). Remote Work Statistics [2022]: Facts, Trends, And Projections – Zippia. [online] Zippia the career expert. Available at: https://www.zippia.com/advice/remote-work-statistics/.
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