คัดลอกลิงก์แล้ว!

Business Executives’ Perspective on Generative AI: Its Significance and Future Implications

As the world rapidly evolves, so too do consumer behaviors, adapting swiftly and unmistakably. It’s no surprise that every industry is trying to adjust to these changes, especially in a world where the Metaverse is becoming more integral to human life, revolutionizing marketing approaches into a new era or Marketing 6.0. From this standpoint, Generative AI technology is beginning to play a more significant role and is increasingly under the business spotlight.

 

For executives, understanding and applying this technology not only enhances competitive prowess but also opens doors to growth and fresh innovations, becoming a Fast Adaptor filled with flexibility. Moreover, Generative AI is listed as one of the top 10 strategic technology trends of 2024, anticipated to have substantial impacts in the next three years.

 

Therefore, G-Able, as a Tech Enabler that has been alongside every digital transformation era for over 34 years, invites everyone to brace for this technological turning point. This article will guide you through the importance of GenAI, including its impacts and the trends that businesses should be aware of.

 

The Importance of Generative AI in Business Applications

 

As many are well aware, the emergence of GenAI technology is as significant as the advent of the internet in its early days. This technology is not only a crucial tool for driving business but also forms a part of creating a distinct competitive edge in today’s intense business world. For this reason, G-Able emphasizes the perspective that businesses often decide to implement GenAI in their organizations for three main reasons:

 

  1. Fostering Opportunities for Innovation: GenAI has the ability to generate content, design products, and develop new ideas quickly and in large volumes. Additionally, it enhances the testing and development of concepts across teams, including HR, Finance, Strategy, and Sales.
  2. Efficiency and Cost Reduction: GenAI is used to analyze and improve production processes, enabling diverse ways to reduce costs, enhance quality, and increase business efficiency.
  3. Enhancing Customer Experience: GenAI helps customize content or products according to customer needs, creating personalized and specific experiences. Furthermore, it assists in interpreting and synthesizing sales data more quickly, leading to automated learning to uncover deep relationships and understand critical details in decision-making.

 

The Impacts of Businesses Using Generative AI

 

Every coin has two sides. While GenAI is a technology with many advantages that attract businesses to adopt it, its novelty also brings issues that require special attention from management.

 

  1. Labor Impact: GenAI fundamentally embodies the concept of automation that can replace certain human tasks, potentially creating social backlash that could affect the brand’s image.
  2. Ethical Risks: Due to the absence of specific legislation, the world of GenAI is always susceptible to legal loopholes. This presents both opportunities and concerns about unfair use or the creation of counterfeit content, such as Deepfakes.
  3. Organizational Data Security: Many have begun to use ChatGPT in their work to assist in thinking, analyzing, and processing, which sometimes involves uploading confidential company data. This practice may lead to data breaches, resulting in subsequent damages.
  4. Preparing for GenAI Implementation: Organizations may need to allocate budgets and plan for training and team development. Formulating risk management policies is crucial to ensure employees use the technology correctly and benefit from it fully and sustainably.

 

10 Generative AI Trends Businesses Should Be Aware Of

 

According to Gartner’s latest report on ‘Top Strategic Predictions for 2024 and Beyond: The Year Everything Changed,’ there are 10 trends that businesses should prioritize and begin to implement in 2024. These are as follows:

 

1. AI Makes Us Seem Better Than We Are

By 2026, 30% of workers will leverage digital charisma filters to achieve previously unattainable advances in their careers.

 

Reward and Employ Talent for Talent’s Sake

  • Use AI to expand the neurodiverse talent pool.
  • Lack of social skills inhibits the recognition of merit.
  • Fluency in spoken and implied communication wins acclaim.
  • Create a policy to avoid inequities from shadow use.

 

2. AI Productivity Shifts Geopolitical Balance

By 2027, the productivity value of AI will be recognized as a primary economic indicator of national power.

 

AI as a New Source of Power

  • AI productivity shifts the labor power balance.
  • AI is part of national strategy.
  • Convening power is important in national/global AI regulations.
  • Encouraging AI act to boost economy.

 

3. Real Value of Neurodiversity Spikes

By 2027, 25% of Fortune 500 companies will actively recruit neurodiverse talent across conditions like autism, ADHD and dyslexia to improve business performance.

 

Neurodiversity Is a Competitive Advantage

  • Underleveraged form of “hidden” diversity.
  • Unique skill sets and viewpoints drive innovation.
  • Neuroinclusive policies/accommodations can benefit all employees.

 

4. Competitive Advantage or Failure Risk 

By 2026, 50% of G20 members will experience monthly electricity rationing, turning energy-aware operations into either a competitive advantage or a major failure risk.

 

Future of Electricity

  • The future of electricity is not “always on.”
  • Electricity demand is growing but on brittle infrastructure.
  • Electricity rationing helps avoid rolling blackouts.
  • Electricity is volatile and a controllable cost or risk.
  • Intelligent operations help meet productivity goals.

 

5. GenAI Supercharges Legacy Modernization

By 2027, GenAI tools will be used to explain legacy business applications and create appropriate replacements, reducing modernization costs by 70%.

 

Use GenAI to Speed Up Legacy Code Modernization

  • GenAI adoption will cross the chasm of trust.
  • Large language models will understand legacy code better.
  • GenAI will aid legacy modernization preparation work.
  • GenAI-assisted coding will reduce replacement effort.

 

6. Robot Workers Outnumber People

By 2028, there will be more smart robots than frontline workers in manufacturing, retail and logistics due to labor shortages.

 

Embrace Robotics to Supplement and Enhance, Not Just Replace, Humans

  • Not about replacing people — not enough workers.
  • Aging workforce.
  • GDP — labor growth mismatch.
  • 96% of supply chain leaders are or plan to deploy robots in two years.

 

7. Machine Customers Force CEOs to Embrace New Channels

Through 2026, 30% of large companies will have a dedicated business unit or sales channels to access fast-growing machine customer markets.

 

Evolve Your Business to Serve Machine Customers

  • Subscriptions provide a model.
  • Dedicated business unit to develop and grow ideas.
  • Sales and marketing becomes programmatic.
  • Service, commerce and supply chain adapt to the needs of machines.

 

8. Malinformation Is a Multifront Threat

By 2028, enterprise spend on battling malinformation will surpass $30 billion, cannibalizing 10% of marketing and cybersecurity budgets to combat a multifront threat.

 

Recognize Malinformation as the New Major Threat

  • Global marketing and cybersecurity spend over 1.3 trillion in 2023.
  • AI-powered, highly targeted and weaponized disinformation.
  • Costs the global economy over $78 billion per year.
  • Needs to be understood as a supply chain disruption.

 

9. CISOs Get More Power

By 2027, 45% of CISOs’ remits will expand beyond cybersecurity, due to increasing regulatory pressure and attack surface expansion.

 

Consolidate and Optimize Security

  • Regulated transparency links market value to security performance.
  • Digital attacks target all information systems.
  • Unify security management across all digital assets.
  • Optimize security performance and enhance market value.

 

10. Unions of People Form to Combat Machines

By 2028, the adoption of generative AI bots will increase the rate of unionization among knowledge workers by 1,000%.

 

Unionization

  • AI anxiety and layoffs, the perfect storm.
  • Unions of knowledge workers have a bargaining position.
  • Focus on worker augmentation to improve productivity and quality of work over role automation.

 

Summary

 

In the end, it cannot be 100% confirmed what will happen next in the future, but it is anticipated that businesses will encounter exciting stories and crucial turning points that necessitate embracing various changes in the world ahead. Rapid advancements in technology and science are propelling businesses of all tiers to participate and keep pace.