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AI Proofing Your Career

Dr. Perry D. Drake

Chair, Marketing and Entrepreneurship

University of Missouri, St. Louis

Ryan Brennell

Generative AI Instructor and Co-founder of Rocketing.ai

December 6, 2025

How to prepare and what is next on the horizon.

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Oct 28, 2025

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“The article highlights major layoffs in data and marketing roles due to AI integration. It is not just disrupting manufacturing it is now disrupting offices”

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Agenda

1️⃣ Setting the Stage

Why this topic matters right now

The “AI bite” hitting white-collar jobs

What AI really means for future business careers

2️⃣ The Big Picture

How AI is reshaping every business discipline

Entry-level disruption → opportunity to lead change

Key trends: automation, augmentation, lifelong learning

3️⃣ Industry Impact

Accounting: From reporting → advisory

Finance: From analysis → predictive strategy

Marketing: From content → creative intelligence

Supply Chain: From logistics → predictive visibility

Management & IS: From supervision → human + AI teamwork

Counseling & Communication: From repetition → empathy advantage

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Agenda (Cont.)

4️⃣ Future Outlook

The Next Decade of AI (2025–2035)

Where AI is heading and how it changes work

What this means for you: Adapt, Learn, Lead

5️⃣ Protecting Your Career

Learn, Certify, Build, Connect

Top certifications and learning platforms

Building a digital brand and portfolio

6️⃣ Human Advantage

What industry leaders are saying

Core human skills: creativity, ethics, adaptability

“AI won’t replace you — a person using AI will.”

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The Big Picture: AI’s Reach

  • 41% of employers expect workforce reductions due to AI (World Economic Forum 2025)
  • 55% of professionals expect major role changes (LinkedIn 2024)
  • AI-intensive sectors show 4× productivity growth vs others (Price Waterhouse Coopers 2025)
  • Key idea: AI automates predictable work first.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

But they also expect higher productivity!

AI doesn’t eliminate work, it reassigns it to those that are ready for the new world.

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Why Entry-Level Jobs Are Most Vulnerable�“Automation targets repetition, not experience.”

  • Entry-level = highest automation risk. Examples:
    • Accounting: reconciliations, invoice processing
    • Finance: forecasting models, data cleanup
    • Marketing: ad copy, scheduling, email drafts
    • Supply Chain: shipment tracking, demand analysis
    • IS: report writing, simple queries
    • Management: meeting summaries, scheduling

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

Goldman Sachs: ~300 million jobs globally will be affected by AI. (GoldmanSachsArticle)

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Accounting: From Bookkeeping to Business Partnering

  • AI now reads invoices and receipts automatically — no more manual data entry�
  • Every transaction can be scanned for errors or fraud in seconds�
  • The accounting software market using AI is growing fast, expected to reach $26 billion by 2029�
  • Instead of typing numbers, accountants now explain what those numbers mean and advise businesses on smarter financial choices�
  • The new value: turning data into insight and keeping systems trustworthy

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

“Focus on being tech-savvy: not just knowing accounting rules, but understanding accounting systems, automation, analytics.”

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“AI and emerging technologies are shifting accounting from manual compliance to strategic advisorship—automated tools now handle transactions and flag risks, freeing CPAs to focus on high-value insight.”

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Finance: From Reporting to Predictive Strategy

  • AI now does much of the number crunching — combining spreadsheets, reconciling accounts, and preparing reports automatically�
  • Finance teams can instantly test “what-if” scenarios such as how inflation or supply costs might affect profits next quarter�
  • Over half of all finance teams already use AI tools to plan and predict future outcomes�
  • The role of finance professionals is shifting: less time on reports, more time helping leaders plan strategy and manage risk�
  • The winners will be those who can read what AI models are saying and explain it clearly

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

“Those who can interpret AI driven forecasts will lead the next generation of FP&A.”

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How AI Is Transforming Financial Markets

  • Roughly 80 percent of stock trades in the United States are now executed by automated trading systems, which are becoming smarter through artificial intelligence.�
  • These systems scan millions of news headlines, earnings reports, and social media posts every second to understand market sentiment.�
  • Artificial intelligence allows faster, more accurate trades and removes much of the emotion and human bias from decision making.�
  • Major financial institutions using this technology include BlackRock, Goldman Sachs, Citadel, and JPMorgan Chase.�
  • Artificial intelligence models now also consider sustainability factors, global politics, and major economic trends when making investment decisions.�
  • Fully automated trading is still limited because regulations require human supervision and accountability.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Risks, Regulation, and the New Human Role

  • Key Risks:�
    • Sudden “flash crash” events can occur when multiple algorithms react to the same signal at once.
    • Automated systems can accidentally coordinate or “herd,” amplifying small market changes into large swings
    • Poor data quality or bias can lead artificial intelligence systems to make unfair or inaccurate trading decisions.�
  • Regulatory Actions:�
    • The United States Securities and Exchange Commission is creating new rules to ensure transparency and human oversight of artificial intelligence in finance.
    • European regulators are requiring companies to disclose when and how artificial intelligence systems are used in investment decisions.�
  • Career Outlook:�
    • New opportunities are emerging in auditing and monitoring artificial intelligence models, managing technology-related risks, and ensuring ethical compliance.
    • The most successful finance professionals will be those who can combine financial knowledge, data literacy, and ethical judgment to guide and supervise artificial intelligence systems.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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“AI and Machine Learning free accounting teams from manual tasks and support finance’s effort to become value creators.”

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Marketing: From Execution to Creative Intelligence

  • AI tools now help create marketing content — drafting emails, social media posts, and ad copy in seconds�
  • Campaigns are automatically tested and optimized for different audiences through built-in A/B testing and segmentation�
  • Around 75 % of the total business value created by generative AI today comes from marketing, sales, and customer operations�
  • Routine execution tasks are increasingly handled by AI, freeing up marketers to focus on creativity, storytelling, and brand strategy�
  • The human role is shifting toward guiding tone, ensuring authenticity, and keeping brand ethics at the center of every message

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

“AI platforms now personalize outreach, predict churn, and generate creative content automatically. Marketers are shifting from execution to orchestration – deciding which data driven insights to act on.

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“AI’s benefits go beyond tackling repetitive tasks. Once campaigns are launched, marketers now turn to AI-supported reporting that can easily pinpoint anomalies and surface opportunities almost as soon as a campaign has launched.”

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Supply Chain: From Planning to Predictive Visibility

  • AI predicts what customers will need and helps companies keep the right amount of product in stock�
  • It can track shipments in real time and re-route trucks or ships automatically if there’s a delay or weather problem�
  • Around 10–30 % of repetitive logistics tasks could soon be automated�
  • The future supply-chain worker will act more like an air-traffic controller, watching dashboards, anticipating problems, and adjusting plans�
  • New roles are emerging, such as digital supply-chain analysts who blend data and operations

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

AI turns supply chains into living systems that sense and react.

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“Digital twins now replicate entire supply networks in virtual environments, allowing companies to simulate changes and anticipate disruptions before they occur.”

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Information Systems: From Tech Support to Strategy

  • AI now answers many basic IT questions automatically, such as password resets or software installations�
  • Smart systems map how data moves through the organization and spot problems before they cause breakdowns�
  • Only about 1 % of companies are using AI to its full potential, meaning the field is wide open�
  • IT jobs of tomorrow will focus less on fixing computers and more on designing how people and AI work together�
  • IS professionals will be the architects of human–machine teamwork

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

ServiceNow and UiPath AI are rewriting IT help desk roles. Human expertise shifts from fixing to foreseeing.

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Management: From Oversight to Orchestration

  • Managers now oversee both people and AI tools that make decisions or generate reports�
  • Dashboards update instantly, removing the need for weekly status summaries�
  • The best leaders focus on coaching, communication, and using data responsibly�
  • Routine supervision will be automated; value will come from leading change and applying sound judgment�
  • Managing humans and algorithms together is the new leadership skill

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

Coaching, communication and context are the new super skills.

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“AI is driving a strategic shift in HR — reducing manual work and enabling real-time decisions across recruitment, onboarding and performance.”

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Entrepreneurship: From Startups to Smartups

  • Artificial intelligence lowers the barriers to launching a business — what once took teams and months can now be done by one person in a weekend�
  • Entrepreneurs can use AI to research ideas, generate names, build logos, and launch websites automatically�
  • Tools like ChatGPT, Canva, Midjourney, and Notion AI make branding, marketing, and planning accessible to anyone�
  • Founders are shifting from “doing everything” to “designing systems” that scale through automation�
  • The new advantage: agility, creativity, and the ability to see opportunities others overlook

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

For entrepreneurs, generative AI can assist with researching ideas, coming up with logos and names, creating a website, and more.

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“AI-native startups are redefining the nature of entrepreneurship through accelerated scaling.”

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Therapy & Counseling: Data-Driven Empathy

  • AI-enabled mental-health tools such as Woebot, Wysa, and Replika provide scalable emotional support.
  • Early studies show reduced anxiety and depression scores after AI-guided journaling or CBT chat sessions.
  • Universities and clinics now pilot AI triage systems to match clients with the right counselor faster.
  • Career counselors use AI résumé builders and job-fit models to streamline prep work.
  • Emerging Skill Shift: Professionals evolve from information givers → contextual coaches who interpret data and nurture motivation.

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Journal of Medical Internet Research (2024): AI-guided therapy apps reduce anxiety by 22 %.

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“Research has explored how AI-driven digital interventions can support mental health across screening, treatment and crisis interventions.”

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Writing & Communication: Human Voice Meets Machine Precision�

  • Generative AI platforms (ChatGPT, Jasper, Copy.ai) now create first drafts for news, blogs, and ad copy.
  • Major outlets like The Associated Press and Washington Post use automated systems for routine reports.
  • AI handles structure and speed; humans elevate tone, context, and credibility.
  • Demand rises for editors, strategists, and storytellers who can guide AI output toward authenticity.
  • Emerging Skill Shift: Writers move from content creators → narrative curators emphasizing insight, creativity, and ethics.

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Writers who collaborate with Ai gain speed without losing soul and authenticity.

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Weekly usage of generative AI tools nearly doubled—from 18% to 34%—between 2024 and 2025.

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Every Business Discipline �Will Be AI-Enabled

  • HR → AI screening, skills-based hiring, people analytics
  • Entrepreneurship → AI lowers startup costs
  • Risk & Compliance → new work in AI ethics, model governance, auditing
  • Takeaway:
    • every business discipline will be AI-enabled.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

AI creates room for higher-order thinking and creativity.

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Projected Job Market Impacts

  • Accounting: 15–30% tasks automated → advisory focus
  • Finance: 10–20% role shift → analytics & strategy
  • Marketing: 20–40% automation → creative/data hybrids
  • Supply Chain: 10–30% transformation → digital ops
  • IS/Tech: 15–25% shift → AI integration & governance
  • Management: stable, but skill-premium ↑

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

WEF is forecasting 83 million roles lost by 2027…not jobs, but roles. Think about it. This will be the largest workforce shift since the industrial revolution!

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Industry

Vulnerability Level (Low, Medium, High)

Primary Risk Type

Key Areas of Impact

Data Entry & Processing

High

Job Displacement

Data entry, transcription, information management.

Office & Administration

High

Job Displacement & Skill Change

Administrative assistants, paralegals, general office support.

Manufacturing & Logistics

High

Job Displacement & Physical Safety

Assembly line work, machine operation, warehousing, autonomous driving.

Transportation

High

Job Displacement & Physical Safety

Trucking, taxi services, delivery.

Financial Services & Accounting

High

Algorithmic Bias & Job Displacement

Bookkeeping, auditing, credit analysis, algorithmic trading, loan processing.

Customer Service

High

Job Displacement & Customer Satisfaction

Call center agents, telemarketers, routine inquiries handled by chatbots.

Retail

Medium

Job Displacement & Operational

Cashiers (self-checkout), inventory management, customer service inquiries.

IT Services

Medium

Skill Change & Security

Computer programming (mutation rather than elimination), cloud security, data security.

Healthcare

Low to Medium

Algorithmic Bias & Ethical

Diagnostics, data management (admin tasks are high risk), direct patient care (low risk).

Education & Social Work

Low

Skill Change & Accountability

Teaching, counseling, social services—roles requiring high human interaction and empathy.

Creative Industries

Low to Medium

IP Infringement & Creativity Concerns

Writers, artists, musicians (AI as a tool vs. replacement).

Personal Services

Low

Job Displacement (low)

Hairdressers, personal trainers, massage therapists—roles requiring physical touch and human interaction.

Relative AI Automation Risk by Industry

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Your Education Still Matters �— If You Adapt It

  • Degree = credibility, foundation, communication, leadership skills
  • 81% of employers prefer AI-skilled candidates (LinkedIn 2025)
  • 56% wage premium for AI-literate grads (PwC 2025)
  • Takeaway: your degree is the base; adaptability is the differentiator.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

“AI-literacy is the new Excel.”

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Learn, Certify, Build, Connect – Survival Framework

  • Learn: one AI/data tool per quarter (ChatGPT, Copilot, Power BI, HubSpot AI).
  • Certify: one micro-credential every 6 months.
  • Build: turn learning into a portfolio piece.
  • Connect: share it publicly to stay visible.
  • Repeat yearly — skills age fast.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Where to Learn & Get Certified (Free / Low-Cost)

  • Google Skillshop – https://skillshop.exceedlms.com/
  • HubSpot Academy – https://academy.hubspot.com/
  • LinkedIn Learning – https://www.linkedin.com/learning/
  • IBM SkillsBuild – https://skillsbuild.org/
  • Microsoft Learn – https://learn.microsoft.com/
  • Coursera: AI for Everyone (Andrew Ng) – https://www.coursera.org/
  • See Appendix for full listing.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Turn Learning into Proof

  • Create a mini case: “Used ChatGPT to speed reporting by 30%.”
  • Build a dashboard: Power BI / Tableau Public.
  • Post about your learning on LinkedIn.
  • Use free tools: Canva Magic Studio, Google Sheets AI, ChatGPT, Notion AI.
  • Document with screenshots and before/after.

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Build Your Network & AI Brand

  • Join on LinkedIn:
    • Artificial Intelligence, Machine Learning, Data Science & Robotics
    • AI Community on LinkedIn
    • Hacking HR
  • Follow: Andrew Ng, Ethan Mollick, Kate Strachnyi, Ryan Roslansky. Find leaders, Stay informed!
  • Post one AI insight per week; join local meetups (https://www.meetup.com).

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Industry Voices: �What’s Being Automated?

“We’ve automated ~30% of reconciliation/reporting; growth is in validating AI output.” — Lisa Opoku, Goldman Sachs

“Analysts now spend 70% of time interpreting insights.” — Ravi Krishnan, Mastercard

“AI drafts content, but humans control brand voice.” — Ann Lewnes, former CMO, Adobe

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Industry Voices: �Skills That Matter Most

“We need learners who can manage ambiguity.” — Julie Sweet, Accenture

“Future belongs to people who can ask the right questions of AI.” — Sam Altman, OpenAI

“Analytics + empathy is the winning combo.” — Brian Moynihan, Bank of America

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Industry Voices: Showing AI Readiness

“Show us a project where you used AI — curiosity beats perfection.” — Karen Fang, BofA

“Know AI’s limits and potential.”

— Sundar Pichai, Google

“We scan for continuous learning.”

— Ryan Roslansky, LinkedIn

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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Industry Consensus �— The Human Advantage

“AI will take the ‘busy’ out of business, not the ‘human.’ What matters now is judgment.” — Satya Nadella, Microsoft

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

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“AI will not replace you.

A Person using AI will.” -- adapted from McKinsey 2025

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Appendix

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AI Career Development Resources & Links

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Dr. Perry Drake | Chair & Associate Teaching Professor | UMSL College of Business

Platform

Focus Area

Sample Course / Certification

Link

Google Skillshop

Analytics, Marketing, AI

Google AI Essentials, GA4 Certification

HubSpot Academy

CRM, Marketing, AI Content

AI for Marketers, Email Marketing Certification

LinkedIn Learning

AI for Work, Productivity, ChatGPT Skills

Learning ChatGPT for Work, Prompt Engineering Foundations

IBM SkillsBuild

AI Foundations, Data Science, Ethics

AI Foundations for Business, Ethical AI Course

Microsoft Learn

Copilot, Power BI, AI Governance

AI Skills Challenge, Data Analyst Associate

Coursera / edX

Generative AI, Strategy, Deep Learning

Generative AI in Business (Michigan), AI for Everyone (Andrew Ng)

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📚 Reference Listing – AI and the Future of Work

📰 News & Journalism

  • The Wall Street Journal. “Tens of Thousands of White-Collar Jobs Are Disappearing as AI Starts to Bite.” October 29 2025.�
  • Reuters Institute for the Study of Journalism. “Generative AI and News Report 2025: How People Think About AI’s Role in Journalism and Society.” 2025.�
  • Associated Press. “Automation and AI in News Production: The Heliograf Project.” Case Study 2025.�
  • Forbes. “The Future of Work Summit 2025: Redefining Roles in the Age of AI.” 2025.�

🧠 Academic & Research Institutions

  • Stanford University, Human-Centered Artificial Intelligence (HAI). AI Index Report 2025.�
  • MIT Sloan Management Review. “Five Trends in AI and Data Science for 2025.” 2025.�
  • Journal of Medical Internet Research. “AI-Guided Cognitive Behavioral Therapy Applications: Efficacy Study.” 2024.�
  • Harvard Business Review. “How to Lead in an Era of AI: Roundtable on Human-Machine Collaboration.” 2025.�

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📚 Reference Listing – AI and the Future of Work

💼 Consulting, Finance & Economic Research

  • Goldman Sachs Global Investment Research. The Potentially Large Effects of Artificial Intelligence on Economic Growth. March 2023.�
  • McKinsey & Company. The State of Marketing AI 2025. 2025.�
  • McKinsey & Company. AI in Supply Chain and Operations: Predictive Planning. 2024.�
  • McKinsey Global Institute. The Future of Work After AI Automation. 2024.�
  • Deloitte Insights. Human Capital Trends 2024: Leading in the Age of AI. 2024.�
  • PwC (PricewaterhouseCoopers). Global AI Study 2025: Sizing the Prize. 2025.�
  • Vena Solutions. Annual Finance Benchmark Report. 2025.�
  • Morgan Stanley Research. Algorithmic and AI Trading Trends. 2024.�

🌍 Policy, Governance & Regulatory

  • World Economic Forum. The Future of Jobs Report 2025. 2025.�
  • European Union. Artificial Intelligence Act (EU AI Act). 2024.�
  • U.S. Securities and Exchange Commission. AI Oversight and Compliance Framework. 2025.�
  • Financial Industry Regulatory Authority (FINRA). Guidelines on Automated Decision Systems in Financial Markets. 2025.�

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📚 Reference Listing – AI and the Future of Work

🏢 Corporate & Industry Reports

  • IBM. Global AI Adoption Index 2025. 2025.�
  • IBM. The Future of AI: Trends Shaping the Next 10 Years. 2025.�
  • Salesforce. Marketing Intelligence and AI Trends Report 2024. 2024.�
  • HubSpot Academy. AI for Marketers Certification Curriculum. 2025.�
  • Google Skillshop. AI Essentials and Analytics Certifications. 2025.�
  • LinkedIn Learning. AI for Work and ChatGPT Courses. 2025.�
  • LinkedIn Talent Solutions. AI in Career Advising and Recruiting Report. 2025.�
  • Microsoft Learn. AI Skills Challenge and Power BI Certification Program. 2025.�
  • Coursera and edX. Generative AI in Business and AI for Everyone Courses. 2024–2025.�
  • Gartner. Hype Cycle for Artificial Intelligence 2025. 2025.�
  • Grand View Research. AI in Accounting Market Report 2024 – 2029. 2024.�
  • ServiceNow and UiPath. AI in IT Automation and Workflow Integration Study. 2025.�

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📚 Reference Listing – AI and the Future of Work

🌐 Education & Workforce Development

  • LinkedIn. Workforce Report 2025: Emerging Skills and AI Fluency in Hiring. 2025.�
  • AACSB International. AI in Business Education Guidance for Accredited Programs. 2024.�
  • Coursera. Global Skills Report 2024. 2024.�
  • World Economic Forum. Upskilling for Shared Prosperity Initiative. 2025.�

💬 Human & Leadership Perspectives

  • Nadella, Satya (Microsoft CEO). Remarks on AI Productivity, Microsoft Build Conference. 2025.�
  • Gartner. “Managers Will Lead Humans and Machines Together.” 2025.�
  • IBM Think Forum. “Ethics and Human Skills in AI.” 2025.�

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