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The Impact of AI as Companies Address the Skilled Labor Shortage

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The Impact of AI as Companies Address the Skilled Labor Shortage


Due to a combination of Baby Boomer retirements and a declining birthrate leading to smaller subsequent generations like Gen Z — employment firms predict that the talent shortage we’re experiencing now is likely to last for years to come. While this has the potential to be disastrous news for the economy, it doesn’t have to be, thanks to another growing trend in business: AI acceleration.

We’re currently seeing an increase in the application of AI in the workplace that moves beyond typical machines and into areas of law, medicine, software, and even art. While many have predicted that the acceleration of AI would lead to the demise of human labor, it may very well be this technology that solves the labor problem — at least for those willing to work in tandem with these AI solutions.

Taking Advantage of AI

So what does working with these AI solutions look like? What challenges are businesses facing due to this labor shortage, and how can AI help solve them? I’ll answer these questions and offer some strategies on how organizations can best position themselves to take advantage of AI and combat the continued labor shortage.

Bridging the Gap

The growing skilled labor shortage is already baked into the next 15 to 20 years, thanks to existing and continuing demographic trends. However, the opportunities to innovate within the labor shortage space are massive in the areas of cloud computing, AI, and robotics. Investment in these areas can help U.S. companies compete in a world that’s increasingly fractured and regional.

Robotics and AI systems have already proven reliable in repetitive, precise, and dangerous tasks. Businesses transitioning their supply chain away from globalization and toward more regional approaches can use AI to automate many of the tasks necessary in warehouse and factory environments.

Plenty of Use Cases

In construction, AI is being adopted to complete tasks such as drywall installation and painting, allowing humans to focus on more complex jobs such as plumbing and electrical installation.

In industrial projects, remote-controlled machines handle the more dangerous duties, like demolition and movement of heavy materials. For office environments, artificial intelligence and automation are handling repetitive occupations — taking over tasks like data gathering, clean up, and prep.

More Than Mundane

However, repetitive tasks aren’t the only places in which AI prioritization is making a difference. It is being employed to help existing workers do their jobs more effectively and efficiently.

A great example of this is OpenAI’s Codex. Codex is an AI solution that scans and analyzes petabytes of code, questions, and answers from websites like Stack Overflow. With this tool, developers no longer need to search for answers or examples of code. Instead, Codex is directly integrated into the code completion of their IDE, saving them hundreds of hours of searching and increasing their productivity.

Creating More Creative AI

Meanwhile, systems such as Stable Diffusion and ChatGPT show how AI can take over, creating more derivative works and freeing employees up to tackle creative tasks that are still well out of reach of AI.

This isn’t to suggest that AI is an eternal solution to the skilled labor shortage. But it is a critical stop-gap that can be leaned on until the workforce grows again — something that’s projected to happen sometime in the early 2040s.

In the meantime, for organizations to maintain competitiveness as the talent shortage continues, it will be necessary to strategically integrate AI into the labor force wherever possible.

1. Don’t build your entire strategy on top of a third-party AI platform.

While there are speed-to-market benefits to third-party solutions, using the same platforms as your competitors means you’re relying on the same data and, consequently, will wind up with the same business model as everyone else.

By developing your own platform — at least in some use cases — and focusing on the data within your niche instead, you can create a cone of differentiation that protects your business and creates long-term opportunities within your niche market. This will also ensure you don’t get trapped within the vision of a third-party company rather than following your own.

2. Invest in skills acquisition over education.

To combat the skilled labor shortage, you don’t need more employees with general education. Instead, you need candidates with specific skills who can help you close the widening skills gap. Technology certifications such as AWS, Azure, and GCP are great examples of the skills required to build the necessary cloud solutions and AI platforms you’ll need to compete.

This focus on skills isn’t just about hiring. It’s also about changing your focus on internal employee training. Apprentice and licensing approaches like those used for electricians and plumbers are great models for training people in new skills as they’re needed.

3. Align your investments with global shifts in geopolitics, economy, supply chain, and demographics.

As the U.S. and the rest of the world move toward more regionalized supply chains and manufacturing, the combination of human creativity and advanced technology, such as AI and robotics, will be critical. But that will only be true if this combination is pointed in the right direction.

Make sure that your investments in AI and skills acquisition are guided by your environment rather than a desire to invest in technology for technology’s sake.

The Necessary Human Touch

In summary, labor shortages, the current supply chain crisis, and inflation that organizations and leaders face will continue to impact their operations over the next few years. The rise of AI-based solutions could be a key technology to help organizations combat those challenges and maintain a competitive edge if they adopt AI solutions and integrate them effectively with their greatest assets: human creativity and problem-solving.

The strategies I outlined will help leaders prioritize as they begin selecting and adopting those AI solutions and navigate the current and growing issues associated with the shift from globalization to regionalized supply chains and labor.

Realizing AI’s Vast Potential

It’s important to remember that today’s artificial intelligence and automation solutions are designed to enhance human capabilities and improve their potential to solve problems and create explainable knowledge. They aren’t meant to replace humans in the workforce.

Leaders who remember this and focus on the symbiosis of human creativity and AI rather than on using AI to replace people will have a strategic advantage in the decades to come.

Featured Image Credit: Provided by the Author; Unsplash; Thank you!

Daniel Williams

Principal with Pariveda Solutions

Daniel Williams is a principal with Pariveda Solutions, specializing in digital strategy, implementation, and analytics. With B.S. and M.S. degrees in Computer Science and Technology Management, he has become an expert in digital transformation and AI/ML.

Politics

Fintech Kennek raises $12.5M seed round to digitize lending

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Google eyed for $2 billion Anthropic deal after major Amazon play


London-based fintech startup Kennek has raised $12.5 million in seed funding to expand its lending operating system.

According to an Oct. 10 tech.eu report, the round was led by HV Capital and included participation from Dutch Founders Fund, AlbionVC, FFVC, Plug & Play Ventures, and Syndicate One. Kennek offers software-as-a-service tools to help non-bank lenders streamline their operations using open banking, open finance, and payments.

The platform aims to automate time-consuming manual tasks and consolidate fragmented data to simplify lending. Xavier De Pauw, founder of Kennek said:

“Until kennek, lenders had to devote countless hours to menial operational tasks and deal with jumbled and hard-coded data – which makes every other part of lending a headache. As former lenders ourselves, we lived and breathed these frustrations, and built kennek to make them a thing of the past.”

The company said the latest funding round was oversubscribed and closed quickly despite the challenging fundraising environment. The new capital will be used to expand Kennek’s engineering team and strengthen its market position in the UK while exploring expansion into other European markets. Barbod Namini, Partner at lead investor HV Capital, commented on the investment:

“Kennek has developed an ambitious and genuinely unique proposition which we think can be the foundation of the entire alternative lending space. […] It is a complicated market and a solution that brings together all information and stakeholders onto a single platform is highly compelling for both lenders & the ecosystem as a whole.”

The fintech lending space has grown rapidly in recent years, but many lenders still rely on legacy systems and manual processes that limit efficiency and scalability. Kennek aims to leverage open banking and data integration to provide lenders with a more streamlined, automated lending experience.

The seed funding will allow the London-based startup to continue developing its platform and expanding its team to meet demand from non-bank lenders looking to digitize operations. Kennek’s focus on the UK and Europe also comes amid rising adoption of open banking and open finance in the regions.

Featured Image Credit: Photo from Kennek.io; Thank you!

Radek Zielinski

Radek Zielinski is an experienced technology and financial journalist with a passion for cybersecurity and futurology.

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Politics

Fortune 500’s race for generative AI breakthroughs

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Deanna Ritchie


As excitement around generative AI grows, Fortune 500 companies, including Goldman Sachs, are carefully examining the possible applications of this technology. A recent survey of U.S. executives indicated that 60% believe generative AI will substantially impact their businesses in the long term. However, they anticipate a one to two-year timeframe before implementing their initial solutions. This optimism stems from the potential of generative AI to revolutionize various aspects of businesses, from enhancing customer experiences to optimizing internal processes. In the short term, companies will likely focus on pilot projects and experimentation, gradually integrating generative AI into their operations as they witness its positive influence on efficiency and profitability.

Goldman Sachs’ Cautious Approach to Implementing Generative AI

In a recent interview, Goldman Sachs CIO Marco Argenti revealed that the firm has not yet implemented any generative AI use cases. Instead, the company focuses on experimentation and setting high standards before adopting the technology. Argenti recognized the desire for outcomes in areas like developer and operational efficiency but emphasized ensuring precision before putting experimental AI use cases into production.

According to Argenti, striking the right balance between driving innovation and maintaining accuracy is crucial for successfully integrating generative AI within the firm. Goldman Sachs intends to continue exploring this emerging technology’s potential benefits and applications while diligently assessing risks to ensure it meets the company’s stringent quality standards.

One possible application for Goldman Sachs is in software development, where the company has observed a 20-40% productivity increase during its trials. The goal is for 1,000 developers to utilize generative AI tools by year’s end. However, Argenti emphasized that a well-defined expectation of return on investment is necessary before fully integrating generative AI into production.

To achieve this, the company plans to implement a systematic and strategic approach to adopting generative AI, ensuring that it complements and enhances the skills of its developers. Additionally, Goldman Sachs intends to evaluate the long-term impact of generative AI on their software development processes and the overall quality of the applications being developed.

Goldman Sachs’ approach to AI implementation goes beyond merely executing models. The firm has created a platform encompassing technical, legal, and compliance assessments to filter out improper content and keep track of all interactions. This comprehensive system ensures seamless integration of artificial intelligence in operations while adhering to regulatory standards and maintaining client confidentiality. Moreover, the platform continuously improves and adapts its algorithms, allowing Goldman Sachs to stay at the forefront of technology and offer its clients the most efficient and secure services.

Featured Image Credit: Photo by Google DeepMind; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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Politics

UK seizes web3 opportunity simplifying crypto regulations

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Deanna Ritchie


As Web3 companies increasingly consider leaving the United States due to regulatory ambiguity, the United Kingdom must simplify its cryptocurrency regulations to attract these businesses. The conservative think tank Policy Exchange recently released a report detailing ten suggestions for improving Web3 regulation in the country. Among the recommendations are reducing liability for token holders in decentralized autonomous organizations (DAOs) and encouraging the Financial Conduct Authority (FCA) to adopt alternative Know Your Customer (KYC) methodologies, such as digital identities and blockchain analytics tools. These suggestions aim to position the UK as a hub for Web3 innovation and attract blockchain-based businesses looking for a more conducive regulatory environment.

Streamlining Cryptocurrency Regulations for Innovation

To make it easier for emerging Web3 companies to navigate existing legal frameworks and contribute to the UK’s digital economy growth, the government must streamline cryptocurrency regulations and adopt forward-looking approaches. By making the regulatory landscape clear and straightforward, the UK can create an environment that fosters innovation, growth, and competitiveness in the global fintech industry.

The Policy Exchange report also recommends not weakening self-hosted wallets or treating proof-of-stake (PoS) services as financial services. This approach aims to protect the fundamental principles of decentralization and user autonomy while strongly emphasizing security and regulatory compliance. By doing so, the UK can nurture an environment that encourages innovation and the continued growth of blockchain technology.

Despite recent strict measures by UK authorities, such as His Majesty’s Treasury and the FCA, toward the digital assets sector, the proposed changes in the Policy Exchange report strive to make the UK a more attractive location for Web3 enterprises. By adopting these suggestions, the UK can demonstrate its commitment to fostering innovation in the rapidly evolving blockchain and cryptocurrency industries while ensuring a robust and transparent regulatory environment.

The ongoing uncertainty surrounding cryptocurrency regulations in various countries has prompted Web3 companies to explore alternative jurisdictions with more precise legal frameworks. As the United States grapples with regulatory ambiguity, the United Kingdom can position itself as a hub for Web3 innovation by simplifying and streamlining its cryptocurrency regulations.

Featured Image Credit: Photo by Jonathan Borba; Pexels; Thank you!

Deanna Ritchie

Managing Editor at ReadWrite

Deanna is the Managing Editor at ReadWrite. Previously she worked as the Editor in Chief for Startup Grind and has over 20+ years of experience in content management and content development.

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