Technological advances have long transformed the way people work, but the current pace of change appears unprecedented. From the advent of personal computers in the 1970s to the introduction of the World Wide Web in the 1990s, followed by the emergence of smartphones, social media, and cloud computing in the 2000s, recent decades have seen significant shifts in how we work. And now, in the 2020s, the latest transformational force appears to be artificial intelligence (AI).

The field of AI research dates to the 1950s but has blossomed in recent years. Machine learning algorithms are now integrated into various products and services, including product recommendations, fraud detection, and self-driving vehicles. Recently, the development of generative AI products like OpenAI’s ChatGPT and Google’s Gemini has enabled users to interact with sophisticated chatbots and generate text or images based on prompts. For many, these innovations have shifted AI from a science fiction concept to a practical tool for work and creative pursuits.

With the proliferation of AI-related research and new AI-enabled technologies, computers now have the potential to disrupt many industries previously believed to be insulated from automation—but, due to the distribution of industries and jobs across the country, AI-driven job displacement is likely to impact some areas more than others.

To determine the locations with the most workers at risk of AI-related job displacement, researchers calculated the percentage of workers in occupations that have both high AI exposure and high probabilities of computerization, then ranked locations accordingly. 

These are the main takeaways from the report:

• The trend toward computerized automation has historically made lower-income jobs more vulnerable to displacement, but AI changes that dynamic: AI-related automation shows a loose positive correlation with income, suggesting that higher earners may now face greater risk.

• One useful way to understand AI’s impact on the labor force is to classify occupations based on their degree of AI exposure—how integral AI is predicted to be in their field—and the probability of computerized automation. For instance, professions like lawyers, CEOs, and civil engineers might rely on AI to enhance decision-making, but face low probabilities of being completely automated.

• Conversely, occupations with both high AI exposure and high risk of automation include loan officers, accountants, and paralegals, whose tasks and knowledge can be more easily learned and replicated by AI systems.

• Jobs such as farm laborers or fast food cooks are unlikely to be significantly impacted by AI, but can be automated using non-AI-based computerized machines. Meanwhile, highly hands-on professionals like dancers, firefighters, and plumbers face both low AI exposure and low risk of automation.

Stats for Georgia:

• In Georgia specifically, 8.6% of all workers are at risk of AI-related automation. Additionally, 45.8% of Georgia’s workforce is at risk of any computerized automation.

• Overall, the share of Georgia workers vulnerable to AI-related job displacement is smaller than the national average of 8.9%.

Beyond the well-known products and media attention, progress in AI is further demonstrated by the surge in research and development. According to Stanford University's 2024 Artificial Intelligence Index Report, AI-related patent filings have increased exponentially, from approximately 3,500 in 2010 to over 190,000 in 2022. Similarly, the total number of AI publications nearly tripled over the same period, rising from around 88,000 in 2010 to more than 240,000 by 2022.

This extensive research has led to rapid improvements in AI performance across various competencies. For example, the most advanced AI systems now outperform humans in image, language, handwriting, and speech recognition, as well as language understanding and reading comprehension. As of last year, these models nearly matched human performance on predictive reasoning tests, heightening concerns about the potential impact of AI on the workforce.

For the complete results visit www.uncommonlogic.com