Notes from a lecture by USC Bovard College Master of Science in Applied Analytics professor Joyce Shen.
Artificial intelligence is rapidly reshaping the way we work, live, and connect. From automation and new career opportunities to ethical challenges and societal shifts, Professor Joyce Shen examines what AI means for individuals, businesses, and society.
Shen is a venture capital and private equity investor and business builder. Her technical expertise spans emerging technologies, the data economy, and cybersecurity. As a faculty member in the online Master of Science in Applied Analytics program, she equips graduate students with the expertise to apply advanced AI and machine learning techniques to address complex, high-impact challenges across major industries.
Below are the key takeaways from her presentation “Work, Life & the World in the Age of AI.”
How Fast Is AI Adoption Compared to Past Technologies?
“The tools are easy to use — that’s why adoption is so much faster this time.”
- This wave of AI adoption is faster than the adoption of PCs and smartphones.
- Generative AI has been diffused rapidly — both businesses and consumers are adopting these tools at an accelerated pace.
- Because of this accelerated adoption, models are improving at high speed as well.
- Major AI companies have outpaced all expectations of hyper-growth businesses.
Historically, this is the fastest diffusion of a general-purpose technology ever. Adoption is happening as quickly as the technology is improving, compressing years of change into months.
How Much Money Are Companies Investing in AI?
“The surge in investment is directly tied to how quickly people are using these tools.”
- Investments in any sector tend to hint at what’s to come.
- There are more than $252 billion in corporate AI investments.
- These investments are fueling rapid product and job growth — as well as demand for analytics talent.
- The US currently leads in corporate investment, private funding, and company formation.
AI companies are scaling exponentially faster than earlier tech companies. This growth is usage-driven as enterprise adoption and spending spread across industries.
Will AI Replace Jobs… or Create New Ones?
“The net is positive — but that doesn’t mean the transition will be easy.”
- Jobs will shift, but new roles will appear.
- Surveys predict 170 million jobs created and 92 million exposed to automation.
- For the first time, automation is impacting knowledge-based work in areas like law, finance, and health.
- Automation and augmentation will transform roles.
- 30 to 40% of current skills are going to change. Learn and adapt to stay ahead.
AI will fundamentally reshape many jobs rather than replace them. Automation will come for routine tasks and shift value towards creativity, problem-solving, and judgment.
What Skills Do Employers Need Most in the Age of AI?
“If you can think, if you can problem solve, if you can break down problems and explain them clearly — you can go anywhere.”
- There is a surge in AI-related skills and keywords in job postings, even in non-technical roles.
- Data interpretation, analytical thinking, leadership, communication, and the ability to use AI to solve complex problems are in demand.
- AI literacy combined with critical thinking is important across industries.
Education that combines data, analytics, and real-world application is increasingly critical because employers need people who can leverage AI capabilities for business impact.
Which Industries Are Growing Fastest with AI?
“Hardware, software, and data are converging — engineers, data scientists, and domain experts all matter.”
- Healthcare, finance, and education are transforming quickly through AI.
- Diagnostics and discovery in healthcare, personalized learning and translation in education, and risk modeling and fraud detection in finance are just a few areas of rapid innovation.
- The biggest opportunities are where technology meets real-world problems.
The fastest growth is in expensive, data-rich, high-friction industries. Those with domain expertise and an understanding of analytics are well-positioned.
What Are the Biggest Risks and Ethical Concerns of AI?
“This isn’t just about technology — it affects people, communities, and how society functions.”
- Ethics, bias, and privacy matter.
- Model bias, misinformation, equal access, safety, guardrails, privacy, surveillance, and environmental impact are just some of the issues that need to be considered.
- Don’t put private information into public tools — that data can be used to train models.
- Responsible AI skills are important.
AI doesn’t just scale productivity — at the same speed it scales bias, misinformation, and risk. Ethical literacy becomes a competitive advantage.
How Is AI Changing the World?
“Countries believe they should have their own models, their own data centers, and own their own data.”
- AI is becoming a national capability.
- The regulatory environment is very decentralized — over 130 different regimes across states.
- There is going to be a convergence between AI adoption and geopolitics.
- With sovereign AI, each country’s data infrastructure, procurement, models, regulations, and more become global issues.
Unlike past technology, for example, the internet or mobile devices, AI is not globally uniform — it is fragmented. Today’s careers will increasingly intersect with regulation and geopolitics.
Joyce Shen’s lecture was part of USC’s Going Back to College Day, where USC alumni were invited back to campus to participate in a day of lectures, panels, and events. Shen is a founding faculty member in USC Bovard College’s online MS in Applied Analytics. Learn more about how the MSAA program can accelerate your career in the age of AI.