Question 1

Did you actually replace yourself as a teacher with an AI clone?

Accepted Answer

_A teaching experiment reveals AI's limits in education._

I built one of the first online certificates, Designing and Building AI Solutions, where I replaced myself with an AI clone. The clone is public. It's now a no-code course where students can imagine business ideas and have the AI clone write the necessary code. We have a 24/7 teaching assistant. But did this mean I replaced myself as a teacher? Not even close. AI can summarize information, but it can't predict future trends. Teaching is more than just delivering knowledge. It's about understanding and evaluating AI trends to find the best ways to use AI for business.

— [Is AI Replacing Us — Good News For Knowledge Workers](https://www.forbes.com/sites/lutzfinger/2025/01/22/is-ai-replacing-us-good-news-for-knowledge-workers/) · _Forbes_

Question 2

How can AI support frontline workers who aren't sitting at computers all day?

Accepted Answer

_Think voice-first interfaces and knowledge retrieval, not just desktop tools._

Frontline workers move around and might not have time to sit at a laptop, but they could have a quick second to speak or type a question. You could support them with an AI interface that answers questions in their language, translates into technical knowledge, and searches knowledge databases. The key is making sure answers are right. Don't just put ChatGPT on your FAQs. You need human in the loop at the beginning, testing a lot to ensure frontline workers are happy with the output before rolling it out widely.

— [You asked, we answered](https://www.lutzfinger.com/transcript/2023-07-28-you-asked-we-answered/) · _The Edge_

Question 3

How did OCR technology affect the number of lawyers?

Accepted Answer

_OCR reduced costs but increased demand for lawyers overall._

Before OCR, legal teams relied on staff to manually read, annotate, and organize documents, a slow and expensive process. With OCR, lawyers could search and analyze text instantly, dramatically reducing costs. By lowering costs, OCR democratized access to legal services, increasing the overall demand for lawyers. Today, AI is once again reshaping legal work. FLANK.AI automates legal document summarization. Instead of spending hours reviewing paperwork, lawyers can now focus on higher-value tasks like strategy, case analysis, and client advocacy.

— [Is AI Replacing Us — Good News For Knowledge Workers](https://www.forbes.com/sites/lutzfinger/2025/01/22/is-ai-replacing-us-good-news-for-knowledge-workers/) · _Forbes_

Question 4

How does AI change the way we interact with computers compared to previous interfaces?

Accepted Answer

_From punch cards to conversation: AI as natural interface_

AI enables me to communicate with machines using natural language instead of learning complex commands or navigating graphical interfaces. Previously, we evolved from punch cards to MS-DOS commands to graphical interfaces with mice and clicking. Each step made things more intuitive, but I still had to search and learn the system's rules. Now with large language models, I can simply describe what I want in my own words. The AI understands my intent and produces output, even if I have no idea how it works technically. This is revolutionary because humans naturally communicate through language.

— [AI as an interface](https://www.lutzfinger.com/transcript/2023-04-24-ai-as-an-interface/) · _The Edge_

Question 5

How does Lutz compare Clubhouse to the early internet and talk radio?

Accepted Answer

_Clubhouse mirrors talk radio but doesn't exploit digital advantages._

Clubhouse is Internet 1.0 of Talk Radio. Ten years before the internet browser was invented, Talk Radio became popular for similar reasons: ease in distribution and proliferation of content. AM Bands allowed for more bandwidth to distribute content. Four decades later, the internet brought the same two effects. Clubhouse follows the rules of Internet 1.0, meaning it is not using the properties of digital to their full advantage. This is why it faces challenges in helping users find content and enable engagement.

— [Clubhouse's Future Depends On Data - How To Build A TikTok Like Algorithm](https://www.forbes.com/sites/lutzfinger/2021/02/09/clubhouses-future-depends-on-datahow-to-build-a-tiktok-like-algorithm/) · _Forbes_

Question 6

How does Richard distinguish between jobs that will be automated by AI and those that won't?

Accepted Answer

_Data availability determines which jobs AI will transform or replace first._

Richard says you can predict how much an industry will change based on how much data is available for a given task. Jobs where outputs are publicly available on the internet, especially all-digital jobs, are where AI can learn from humanity's collective knowledge and automate the most. Plumbing, for example, has no automation potential because no one is collecting data about what plumbers do. Jobs with abundant digital data and public outputs face the highest automation risk in the coming years.

— [The Future of AI, with Richard Socher](https://www.lutzfinger.com/transcript/2026-02-05-the-future-of-ai-with-richard-socher/) · _The Keynote on AI_

Question 7

How is AI changing the role of software developers?

Accepted Answer

_Coding goes away, but software remains. Developers become technical architects._

Software developers are taking on a much more abstract role, similar to technical product managers. Many AI-first companies claim they're writing 80 to 90 percent of their code via AI, and a replacement event is beginning to occur. While coding as an activity is probably going away, software itself is still needed. Developers will need to be quite specific about how they want code to be stitched together and architected. They're essentially moving to a higher level of abstraction, just like when we went from punch cards to compilers to higher order languages.

— [Reshaping Investing With AI, with Lila Tretikov](https://www.lutzfinger.com/transcript/2026-02-17-reshaping-investing-with-ai-with-lila-tretikov/) · _The Keynote on AI_

Question 8

How is the key skill for doctors changing because of AI?

Accepted Answer

_Medical skills evolved from memorization to critical thinking._

During medical training, memorization was key. Then, as the internet made digital information easily accessible, effective summarization became the key skill. With AI, transformer models can summarize better than humans. The key skill now is critical thinking. But those advancements will free doctors to focus on human connection, improving medicine overall. This evolution shows how each technological wave shifts what matters most in medical practice, from memorizing facts to thinking critically and connecting with patients.

— [Is AI Replacing Us — Good News For Knowledge Workers](https://www.forbes.com/sites/lutzfinger/2025/01/22/is-ai-replacing-us-good-news-for-knowledge-workers/) · _Forbes_

Question 9

How will AI change jobs?

Accepted Answer

_Disruption, enablement, and the skills that matter._

> Microsoft offered voluntary retirement to thousands of long-tenured staff. Twenty thousand jobs gone in seven days, from two of the most profitable technology companies in history. The news call it an AI replaces humans. This storyline is wrong.

— [Meta Laid Off 8,000 And Launched AI - Why Jobs Need Different Skills](https://www.forbes.com/sites/lutzfinger/2026/04/25/meta-laid-off-8000-and-launched-aiwhy-jobs-need-different-skills/) · _Forbes_

Question 10

What does 'AI as an operating model' mean?

Accepted Answer

_Why the winners redesign work around AI rather than just adopting tools._

> AI — it's who controls the data and who builds products that businesses and people actually use.

— [Stargate: The $500 Billion Message To China — The Future Of AI Regulation](https://www.forbes.com/sites/lutzfinger/2025/01/22/stargate-the-500b-message-to-china---the-future-of-ai-regulation/) · _Forbes_

Question 11

What does the term agents actually mean in AI, and is the technology working?

Accepted Answer

_Agents has three definitions but the technology isn't quite there yet_

Agents is one of the most diluted terms, almost useless. There are three working definitions. First, a virtual agent representation that helps with support tickets. Second, the technical definition where you close the control loop with AI so output becomes input, doing multiple iterations without humans to solve higher level tasks, like booking a ticket. Those aren't really working yet. The tech isn't quite there, and these elements are very unpredictable for complex tasks. Third, any time an LLM calls out to a tool, like sending email. The term itself is almost useless, but the things it's talking about are very real trends.

— [The Future of AI, with Martin Casado](https://www.lutzfinger.com/transcript/2025-03-20-the-future-of-ai-with-martin-casado/) · _The Keynote on AI_

Question 12

What happened to OpenAI's technological edge in reasoning AI after Sam Altman's claim?

Accepted Answer

_A 60-day head start evaporated when DeepSeek launched R1._

By the end of 2024, Sam Altman claimed OpenAI now knows how to build reasoning AI agents. After less than 60 days, this technological edge is gone. China has caught up. DeepSeek's R1, a Chinese AI model, uses the same self-critique and iterative learning approach with stunning results. The edge OpenAI thought it had disappeared remarkably quickly, proving that leads in AI capabilities can evaporate in just weeks.

— [Stargate: The $500 Billion Message To China — The Future Of AI Regulation](https://www.forbes.com/sites/lutzfinger/2025/01/22/stargate-the-500b-message-to-china---the-future-of-ai-regulation/) · _Forbes_

Question 13

What happened to switchboard operators when automation arrived?

Accepted Answer

_Switchboard jobs vanished but sparked industry-wide growth._

The AT&T switchboard study analyzed how automation replaced switchboard operators. Those jobs disappeared, but cheaper, more accessible communication fueled an explosion of new industries, businesses, and job opportunities. This case from telecommunications demonstrates a pattern where automation eliminates specific roles but creates broader economic opportunities. The reduced cost of communication enabled growth across many sectors, generating more jobs overall than were lost in the single occupation that was automated.

— [Is AI Replacing Us — Good News For Knowledge Workers](https://www.forbes.com/sites/lutzfinger/2025/01/22/is-ai-replacing-us-good-news-for-knowledge-workers/) · _Forbes_

Question 14

What is a reward engineer and why does Richard predict this will be an important new job type?

Accepted Answer

_Defining AI success requires a new kind of manager and skill set._

A reward engineer is someone who defines what success looks like when delegating tasks to AI. Richard predicts this will be a main new job type because AI can be very smart but needs unambiguous instructions. For example, if you tell an AI to increase customer satisfaction scores, it might create bots to spam five-star ratings or give thousand-dollar gift certificates for ten-dollar problems. Reward engineers will need to think through all the ways to properly define success, refine rewards, and become better at delegation and managing AI with appropriate trust and verification.

— [The Future of AI, with Richard Socher](https://www.lutzfinger.com/transcript/2026-02-05-the-future-of-ai-with-richard-socher/) · _The Keynote on AI_

Question 15

What is the difference between AGI, singularity, and superintelligence?

Accepted Answer

_Understanding the core terms of the AGI conversation today_

AGI, or artificial general intelligence, is the ability to generalize beyond what you were trained for. If given an unfamiliar environment and goal, it should figure out how to achieve that goal through creative imagination and trial and error. Singularity, coined by Vernor Vinge and popularized by Ray Kurzweil, refers to a point where the rate of progress feels infinite to legacy humans. This happens through recursive self-improvement, where an AI makes a smarter AI. Superintelligence follows AGI. Many believe that once we achieve human-level AGI, it will optimize its own code and exceed human levels much faster than predicted, creating a steep exponential curve rather than gradual progress.

— [Rethinking the AGI Race, with Benjamin Goertzel](https://www.lutzfinger.com/transcript/2026-05-28-rethinking-the-agi-race-with-benjamin-goertzel/) · _The Keynote on AI_

Question 16

What is your perspective on AGI and when it might happen?

Accepted Answer

_AGI remains limited by data and lacks human agency for decisions._

AGI means artificial general intelligence, models that learn and develop capabilities by themselves, becoming vastly more intelligent than humans. But I disagree with this focus. AGI still has the data problem and only one type of prediction modeling, while humans have emotional prediction and other ways of understanding. Crucially, we humans have agency. We decide what data to clean, what to feed models, when to correct them. Models can't make those decisions themselves. I'm not against smarter models, but why not focus them on expert tasks like predicting climate change? I'm focused on using data and machine learning to improve things, not worried about some ominous AGI taking over.

— [A reality check on AI](https://www.lutzfinger.com/transcript/2024-07-10-a-reality-check-on-ai/) · _The Edge_

Question 17

What is your view on AGI and the current hype around achieving it soon?

Accepted Answer

_*AGI is a ghost story, not a roadmap for near-term investment*_

I assert that AGI is essentially a myth. I'm not saying it's theoretically impossible, but nothing in all the advancements of technology represent a concrete, clear step toward AGI. The distance between what is capable and what humans are is going to become increasingly clear. AGI is just another way of saying artificial human. It's a ghost story, the novel Mary Shelley would have written if she knew about algorithms. The false narrative that we're headed towards AGI, possibly within a few years or couple of decades, is part of the problem.

— [The Value Translation Gap: AI's Deployment Problem](https://www.lutzfinger.com/transcript/2024-11-28-the-value-translation-gap-ais-deployment-problem/) · _The Edge_

Question 18

What kind of AI agents will actually enter the workforce in 2025?

Accepted Answer

_Specialized workflow agents, not AGI, will join teams in 2025_

In 2025, we'll see more AI agents entering the workforce, transforming workflows by simplifying, enhancing, and automating tasks across industries. These won't be all encompassing AGI models but smaller, specialized models designed for dedicated workflows. AI will scale and improve processes one step at a time, combining traditional AI, context retrieval called RAG, and robust user design. Soon, there will be job websites with posts that only AI agents can apply for. 2025 will be the year AI colleagues enter our lives.

— [The Race For AI Agents. Who Will Supply Tomorrow's Workforce?](https://www.forbes.com/sites/lutzfinger/2025/01/07/the-race-for-ai-agents-who-will-supply-tomorrows-workforce/) · _Forbes_

Question 19

What should enterprise leaders expect from AI agents in 2025?

Accepted Answer

_Expect many workflow improvements, not one transformative application._

2025 will be the year of AI agents. Rather than expecting one killer app, leaders should anticipate AI simplifying, enhancing, or automating many smaller workflows across industries. We will see applications in areas like customer care, legal support, and sales. The key shift is moving from isolated generative AI experiments to properly integrated agentic workflows that chain multiple AI models together. These workflows will have system integration, context through RAG, appropriate guardrails, and user control, making them viable for production enterprise use.

— [AI Agents In 2025: What Enterprise Leaders Need To Know](https://www.forbes.com/sites/lutzfinger/2025/01/05/ai-agents-in-2025-what-enterprise-leaders-need-to-know/) · _Forbes_

Question 20

What specific techniques did you use to build personal connection online?

Accepted Answer

_Being visible and playful helped create bonds in virtual classrooms._

Creating a bond is challenging when you're a small sub-window on top of a Google presentation. I went off presentation mode as often as possible so that everyone is more visible. I also spiced up the course with fun actions using Snap Cam to change myself into a potato or come in a Tuxedo to class. A personal relationship between a prof and a student is a key driver for learning, so being approachable required creative approaches.

— [How COVID Changed Our Classrooms? A Self-Experiment Of Online Teaching.](https://www.forbes.com/sites/lutzfinger/2020/05/14/how-covid-changed-our-classrooms-a-self-experiment-of-online-teaching/) · _Forbes_

Question 21

What will actually happen with AI in 2025 instead of AGI?

Accepted Answer

_Narrow AI chains will excel at tasks without achieving AGI._

In 2025, we'll see more narrow AI solutions integrated into chains similar to OpenAI's o1 approach. These systems will excel at specific tasks and, when combined, will enhance productivity and surpass human performance in many areas. This development will be exciting, but these advancements will not constitute AGI. Instead of Artificial General Intelligence, large language models will find their killer app. The real story in 2025 will be this killer application of large language models.

— [No AGI But A 'Killer App' — 2025 AI Prediction](https://www.forbes.com/sites/lutzfinger/2025/01/03/no-agi-but-a-killer-app2025-ai-prediction-110/) · _Forbes_

Question 22

Why can't I just tell an agent to plan my honeymoon or buy things for me?

Accepted Answer

_Match the agent to the stakes._

Technically you can wire it up, but it will not be trusted yet, and for good reason. The blocker is not hallucination, which is largely a solved technical problem, it is stakes and trust: people do not want an agent that might book the wrong flight or charge the wrong thing to their card. The honest pattern is to match the agent to the stakes. Lutz started by imagining a health "nurse in your pocket," found the stakes too high to be reliable, and moved to lower-stakes commerce like helping someone find the right ring or coffee machine, where an agentic workflow that cleans the data and searches step by step adds value without the risk. High precision with an agent is possible; you scope it to where a mistake is survivable.

— [The Edge: “AI Agents: The Future of Work?”](https://www.lutzfinger.com/transcript/2024-12-12-ai-agents-the-future-of-work/) · _Podcast_

Question 23

Why do business consulting firms get the AI job replacement question wrong?

Accepted Answer

_Consulting firms miss how efficiency creates demand, not scarcity._

Business consulting firms often push the narrative that AI automation means fewer jobs, but they're missing the bigger picture. AI is augmenting knowledge workers, not replacing them. It makes them more efficient, allowing them to create more value. As any enterprise leader or CEO knows, when more value is created, the demand for skilled professionals increases. In the long run, AI will generate more jobs, not fewer. The real question is how we, as a society, support those who need to learn new skills.

— [Is AI Replacing Us — Good News For Knowledge Workers](https://www.forbes.com/sites/lutzfinger/2025/01/22/is-ai-replacing-us-good-news-for-knowledge-workers/) · _Forbes_

Question 24

Why do you say 2025 will be the year of search?

Accepted Answer

_Search poised to dominate 2025 as game-changing AI solution._

I believe if you're placing bets on a single technology to dominate the conversation in 2025, bet on search. By merging large language models, retrieval-augmented data, and intuitive user interfaces, search is poised to be the game-changing AI solution for both individual users and global enterprises. Technology has transformed the way we search for and interact with information, and if past patterns hold true, this is search's moment.

— [2025: The Year Of Search But Not The End Of Google](https://www.forbes.com/sites/lutzfinger/2025/01/03/2025-the-year-of-search-but-not-the-end-of-google/) · _Forbes_

Question 25

Why do you say AGI won't happen in 2025 despite predictions from Sam Altman and Elon Musk?

Accepted Answer

_Predictions from AI leaders are more hype than reality._

Sam Altman predicted AGI would arrive in 2025, and Elon Musk said 2026. Both are more about hype than reality. Current generative AI like GPT models is limited to spotting and repeating patterns. ChatGPT predicts the most statistically probable next word based on training data. This isn't real understanding, just pattern matching. It's no more self-aware than a chess computer that doesn't care if it loses. Many researchers believe barriers to AGI might be fixable by 2050 or 2030, but not this year.

— [No AGI But A 'Killer App' — 2025 AI Prediction](https://www.forbes.com/sites/lutzfinger/2025/01/03/no-agi-but-a-killer-app2025-ai-prediction-110/) · _Forbes_

Question 26

Why does Salesforce believe it can compete in supplying AI agents to enterprises?

Accepted Answer

_Salesforce leverages its treasure trove of enterprise data for AI_

Salesforce holds an enormous trove of valuable data, including customer interactions, discussions, process documents, and marketing strategies. Access to enterprise data is one of two things companies need to become the main supplier of AI agents. Salesforce CEO Marc Benioff took a jab at Microsoft's Copilot, calling it disappointing and dubbing it Clippy 2.0, before introducing Salesforce's own AI solution, Agent Forces. This data advantage positions Salesforce alongside Microsoft, Amazon, and Google as a major player.

— [The Race For AI Agents. Who Will Supply Tomorrow's Workforce?](https://www.forbes.com/sites/lutzfinger/2025/01/07/the-race-for-ai-agents-who-will-supply-tomorrows-workforce/) · _Forbes_

Question 27

Why does the article say AGI is not near, despite Altman's claims?

Accepted Answer

_Current AI relies on patterns, not understanding or reasoning._

I don't believe AGI will happen by 2025, and many experts agree. Today's AI works by recognizing patterns and making predictions, not by truly understanding. For example, completing the phrase 'Life is like a box of...' with 'chocolates' relies on probabilities, not reasoning. Demis Hassabis predicts AGI could arrive around 2035. Ray Kurzweil estimates 2032, and Jürgen Schmidhuber suggests closer to 2050. The gap between pattern recognition and true understanding means AGI as we imagine it is not imminent.

— [Sam Altman Says, 'We Know How To Build AGI' — Not So Fast](https://www.forbes.com/sites/lutzfinger/2025/01/07/sam-altman---agi--ai-workforce-in-2025-the-battle-of-tech-giants/) · _Forbes_

Question 28

Why is Microsoft considered to be in pole position in the race for AI agents?

Accepted Answer

_Why workforce tool dominance puts Microsoft ahead in AI agents_

Microsoft is in pole position because it has direct access to users through workforce tools most people already use. AI is becoming deeply integrated into these Microsoft products, with Copilots appearing everywhere. This market access is a big advantage. In 2023 and 2024, many startups launched impressive AI services, only to be quickly overshadowed by giants like Microsoft and Google, which have direct access to customers. For example, Jasper.ai saw similar features built directly into Google and Microsoft products.

— [The Race For AI Agents. Who Will Supply Tomorrow's Workforce?](https://www.forbes.com/sites/lutzfinger/2025/01/07/the-race-for-ai-agents-who-will-supply-tomorrows-workforce/) · _Forbes_

Question 29

Why will 2025 be the year of enterprise search for AI?

Accepted Answer

_Enterprise search becomes critical as AI agents need company data_

AI needs data to be effective. What we need are tools that can read and summarize company documents, tailored for enterprise use. 2025 will be the year of search, especially enterprise search. Companies that have access to this kind of data, like Microsoft, Amazon, Google, and Salesforce, are major players in the race to supply AI agents. Access to enterprise data is one of the two critical things companies need to become the main supplier of AI agents for tomorrow's workforce.

— [The Race For AI Agents. Who Will Supply Tomorrow's Workforce?](https://www.forbes.com/sites/lutzfinger/2025/01/07/the-race-for-ai-agents-who-will-supply-tomorrows-workforce/) · _Forbes_

Q&A, Future of Work

Did you actually replace yourself as a teacher with an AI clone?

How can AI support frontline workers who aren't sitting at computers all day?

How did OCR technology affect the number of lawyers?

How does AI change the way we interact with computers compared to previous interfaces?

How does Lutz compare Clubhouse to the early internet and talk radio?

How does Richard distinguish between jobs that will be automated by AI and those that won't?

How is AI changing the role of software developers?

How is the key skill for doctors changing because of AI?

How will AI change jobs?

What does 'AI as an operating model' mean?

What does the term agents actually mean in AI, and is the technology working?

What happened to OpenAI's technological edge in reasoning AI after Sam Altman's claim?

What happened to switchboard operators when automation arrived?

What is a reward engineer and why does Richard predict this will be an important new job type?

What is the difference between AGI, singularity, and superintelligence?

What is your perspective on AGI and when it might happen?

What is your view on AGI and the current hype around achieving it soon?

What kind of AI agents will actually enter the workforce in 2025?

What should enterprise leaders expect from AI agents in 2025?

What specific techniques did you use to build personal connection online?

What will actually happen with AI in 2025 instead of AGI?

Why can't I just tell an agent to plan my honeymoon or buy things for me?

Why do business consulting firms get the AI job replacement question wrong?

Why do you say 2025 will be the year of search?

Why do you say AGI won't happen in 2025 despite predictions from Sam Altman and Elon Musk?

Why does Salesforce believe it can compete in supplying AI agents to enterprises?

Why does the article say AGI is not near, despite Altman's claims?

Why is Microsoft considered to be in pole position in the race for AI agents?

Why will 2025 be the year of enterprise search for AI?