A.I. Is Not Ripping off Uber Drivers, Stop Obsessing About Work All the Time, Ceos Will Give Raisies if You Show Up in the Office, and More....
?ariya j/iStock/Getty Images Plus

A.I. Is Not Ripping off Uber Drivers, Stop Obsessing About Work All the Time, Ceos Will Give Raisies if You Show Up in the Office, and More....

Approximately 60 million independent workers in the United States represent $1.5 trillion in U.S. GDP and growing. Projections estimate that 50% of our U.S. workforce will be independent workers by 2025- 2030. The Gig Economy represents a trend that will digitally transform the future of work.

Every?organization?in?every industry?needs a Gig Economy strategy. Not having one is like missing the internet trend in 1990 or the mobile revolution in 2010.


?The Freelance Revolution

The Industrial Revolution of our time is the rise of independent contractors and the globalization of knowledge work. We can see the U.S. workforce undergoing a massive structural change.


No, A.I. is not ripping off Uber drivers . Recent discussions suggest that companies use A.I. to manipulate gig workers' pay, with claims of "algorithmic wage discrimination" in the ridesharing industry. However, dynamic pricing mechanisms, similar to those used by airlines and hotels, are applied by ridesharing apps like Uber, where prices vary based on real-time demand and supply. While some drivers find these unpredictable rates challenging, others appreciate the opportunity to work during peak times, and there's no concrete evidence of A.I. unfairly determining individual driver rates.


Millennial and Gen Z gig workers are earning a lot more than their older peers ?-?Millennials, and Gen Z workers are increasingly turning to gig work as their primary source of income, with a higher percentage earning $2,500 or more monthly compared to older generations, according to a TransUnion study. The appeal of gig work for younger generations lies in the flexibility, mobility, and self-determination it offers. However, the gig economy faces challenges such as economic uncertainty, competition with traditional job markets, and concerns about fraud or identity theft on gig platforms.


The Gig Economy: How Financial Executives Can Better Tap into This Creative Workforce ?- The gig economy has transformed from a fleeting trend to a significant force in the U.S. workforce, with predictions showing over 50% of workers participating in gig roles by 2027, contributing to a market value of $455.2 billion in 2023. Financial executives are urged to adapt their strategies to effectively engage with this growing talent pool, ensuring they understand gig workers' motivations and needs while maintaining legal and ethical standards. As the gig economy continues to expand, companies have the opportunity to innovate and grow by leveraging this diverse talent. Still, they must also navigate the complexities of offering benefits and ensuring compliance.


A.I. Meets Talent: The Age of Generative AI

With the "Big Bang" moment in November 2022, OpenAI's ChatGPT was launched, ushering in a new era of generative A.I., accelerating the fusion of Technology and talent, and presenting challenges and opportunities for individuals and businesses alike.


This is how generative A.I. will change the gig economy for the better ?- Generative A.I. is poised to enhance the gig economy by augmenting work and potentially introducing more job opportunities, as stated by Gali Arnon, CMO of Fiverr. Rather than replacing humans, A.I. is seen as a tool that complements creative tasks, enabling freelancers to focus more on creativity and interpersonal roles. However, the ethical use of A.I. in creative work is crucial, with the need for transparency when using AI-generated content and ensuring its responsible application in the business landscape.


The Coin of A.I. Has Two Sides: Matching Enhancement and Information Revelation Effects of A.I. on Gig-Economy Platforms ?- Artificial intelligence (A.I.) is increasingly used in gig-economy platforms to match workers with employers, but its adoption can have unintended revenue-decreasing consequences for the platform. While A.I. can enhance matching quality and boost revenue, it can also inadvertently reveal labor demand information, influencing workers' decisions and leading to potential revenue loss. To mitigate these adverse effects, platforms might benefit from directly sharing labor demand or competition data with workers, emphasizing the need for careful A.I. application in the gig economy.


The Changing Workplace

We see unprecedented numbers of companies implementing remote work programs. How we work has forever changed and requires new skills and leadership approaches.

Stop Obsessing About Work All the Time ?- Many people struggle to disconnect from work-related thoughts during their personal time, which can harm mental health and relationships. Joe Mellin, for instance, couldn't stop thinking about work, even during a wilderness retreat in Colorado. To combat this, experts recommend engaging in challenging tasks, finding productive solutions for work obsessions, and adopting rituals or hobbies to detach from work mentally.


Meet the typical hybrid worker: millennial men making 6 figures who would never come into the office on a Friday ?- Hybrid work, a blend between remote and in-office work, has gained popularity among companies and employees, with many preferring this model for its work-life balance. Millennial men, especially those with young children, are the most prominent demographic adopting this work style, with 28% of surveyed millennials working hybrid schedules. Additionally, hybrid workers tend to be in higher income brackets, with nearly 57% of those earning over $150,000 working in this manner, and they are also more likely to have advanced degrees.


Mediocre Success Is Worse Than Outright Failure ?- Achieving moderate success in startups can be more problematic than outright failure. Clear results provide valuable insights, whether success or failure, while mediocre outcomes create uncertainty about strategies. Startups must design tests that give clear results to learn and adapt effectively.


CEOs want employees back in the office, and 90% say they'll likely give raises and promotions to those who actually show up, survey finds ?- A majority of CEOs anticipate an end to remote work in the coming years, with 62% of 400 CEOs from large revenue companies expecting in-office roles to return within three years, according to KPMG's U.S. CEO Outlook survey. This shift in perspective is attributed to the belief that in-office collaboration boosts productivity. Significantly, 90% of these CEOs indicate a likelihood to reward employees who consistently come to the office with promotions, raises, or favorable assignments, signaling a potential change in workplace incentives.




PAUL ESTES has been at the cutting edge of Technology for over 20 years with leadership roles at Dell, Amazon, Microsoft, MURAL, MagicLeap, and Ally Robotics. He struggled to balance his life with these fast-moving leadership roles, so he hired his first virtual assistant, transforming how he lived and worked. He shares his experience in his best-selling book?Gig Mindset , which helps people and organizations understand that now is the time to address systemic?location bias ?and encourage companies to reach beyond their organizational boundaries to engage the world's best minds.??

He is inspired by the work of the late?Leila Janah , author of?Give Work: Reversing Poverty One Job ?at a Time, and her quote, "Talent is equally distributed, opportunity is not." This inspiration inspired Paul to lead a team of progressive H.R., procurement, and legal trailblazers to launch Microsoft's Gig Economy freelance program.??

Paul is the host of the?Work on Demand Podcast . Each week, Paul provides insights and perspective to over 100,000 readers of his weekly LinkedIn newsletter, and he frequently shares his insights as a keynote speaker and panelist.

Peter Legrove

Everything AI Artificial Intelligence

1 年

How many ChatGPT alternatives are there now As of my last knowledge update in September 2021, there were several alternatives to ChatGPT, including models and platforms developed by different organizations. Some of these alternatives included: OpenAI GPT-3: OpenAI has released GPT-3, which was the predecessor to ChatGPT. BERT (Bidirectional Encoder Representations from Transformers): XLNet: XLNet is a generalized autoregressive pretraining model T5 (Text-to-Text Transfer Transformer): RoBERTa: Developed by Facebook AI, ERNIE (Enhanced Representation through kNowledge IntEgration): CTRL (Conditional Transformer Language Model): Salesforce's CTRL is designed to generate text conditionally, making it useful for generating text in specific styles or topics. Megatron: NVIDIA's Megatron is a large-scale model designed for distributed training on multiple GPUs. BART (Bidirectional and Auto-Regressive Transformers): If you are looking for AI software for a specific task, contact us as we specialize in finding the ONE best AI solution for your business

回复

要查看或添加评论,请登录

Paul Estes的更多文章

社区洞察

其他会员也浏览了