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Shopify Ceo On Why Using Ai Isn’t Optional

https://www.youtube.com/watch?v=r9SHzCW9zxo

TLDR Shopify CEO Tobi Lütke sees AI agents as a major opportunity to make entrepreneurship easier, personalize shopping, and unlock new kinds of businesses. Shopify is building tools that let merchants sell across any channel, while betting that trusted, useful AI will matter more than controlling transactions or chasing take rates. Lütke favors optimism, rapid experimentation, and clear AI-friendly company values, and says Shopify must keep reinventing itself to serve both first-time founders and large merchants.

Key Insights

1. Make AI Useful by Connecting It to Real Tasks

AI agents are most valuable when they help complete a meaningful task, not just answer a question. Consider project-based needs such as planning a home gym, sourcing supplies for a weekend activity, or monitoring equipment and reordering materials. The practical opportunity is to connect planning, research, purchasing, and follow-up into one experience. Start with a familiar customer problem, then identify which steps an agent can reliably handle.

2. Build for Customers Across Multiple Sales Channels

Merchants can reach customers through storefronts, social platforms, physical retail, craft fairs, and AI agents. Supporting more channels makes a commerce platform more useful while giving businesses flexibility over how they sell. Make checkout and product information accessible through well-designed systems and APIs so both people and agents can complete purchases. Avoid relying on a single channel that could change its rules or limit access to customers.

3. Compete by Solving Customer Problems, Not Protecting a Business Model

Advertising, subscriptions, and transaction fees are ways to fund a business, but they are not the core reason customers use a product. Begin with the problem and make the solution valuable enough that customers want to keep using it. In agent-driven shopping, recommendations also need to be trustworthy and clearly aligned with the user’s interests. New discovery or matchmaking models may create revenue while preserving trust and helping smaller businesses reach customers.

4. Give Entrepreneurs Practical Leverage with AI

AI can help people start businesses by providing guidance that once depended on technical expertise or a knowledgeable personal network. Use it to reduce the effort involved in research, planning, customer support, and routine operations. The goal is not simply to add AI features, but to remove barriers that stop people from testing an idea or serving customers. Measure success by whether people can do useful work more easily and create lasting value.

5. Make AI Expectations Explicit Across the Team

Organizations should clearly explain how they expect employees to use AI, including whether teams should consider AI before requesting additional staffing. Shared expectations help people work consistently and reveal whether a role or workplace is a good fit. Evaluate AI-assisted work by its quality and results rather than treating the use of AI as inherently good or bad. Keep teams aligned on priorities while allowing them enough independence to move quickly.

6. Stay Nimble by Reconsidering Your Product from First Principles

Successful companies can become constrained by legacy systems, routines, or sunk costs. Regularly imagine how you would build the ideal version of your product today, then compare it with what customers actually experience. Be willing to replace familiar features or processes when a better approach emerges. This discipline helps an established business keep improving without losing sight of its original customer problem.

7. Prove Value Before Optimizing Monetization

New AI businesses may face high computing costs and uncertain transaction revenue, so a proposed take rate is not a substitute for a clear customer benefit. First establish what the agent can do uniquely, how reliably it can do it, and whether people will keep using it. Pricing can then reflect the value delivered, using options such as subscriptions, metered usage, or transaction fees. Keep costs and financial runway in view while the market develops.

8. Use Personal Data Carefully to Make Assistants More Helpful

A personal AI assistant can become more useful when it can draw on context such as calendars, notes, location, and activity records. These connections can support research, briefings, and tailored recommendations, but they also make privacy and user control essential. Choose data sources deliberately, understand what the assistant stores, and limit access to information that is genuinely useful. Treat sensitive insights with care, especially when they involve other people.

Questions & Answers

Why does Shopify support Muse while Amazon blocked it?

Toby says Shopify and Amazon have different philosophies. Amazon resembles a broad digital department store, while Shopify supports independent merchants, entrepreneurship, distinction, and storytelling. Shopify does not operate a traditional marketplace, so it can stay aligned with merchants rather than balancing its own marketplace interests against buyers and sellers.

How is Shopify preparing for shopping through AI agents?

Shopify is building APIs and systems that let people and AI agents make purchases smoothly. It aims to help merchants sell across many channels—including social platforms, point of sale, craft fairs, and AI agents—because more selling channels make Shopify more valuable.

How are AI agents changing the kinds of purchases people make?

Agent-driven shopping is increasing from a small base, especially for considered, project-based purchases. An agent might plan a project, source supplies from local stores, place orders, and monitor equipment or replenish supplies. These end-to-end tasks point toward new uses beyond simply helping people shop in familiar ways.

Why does the speaker feel optimistic about AI and technological progress?

The speaker sees AI as a powerful, patient sidekick that can make everyday work easier and help people reinvent technology and society. They believe optimism encourages people to pursue opportunities, while zero-sum pessimism can suppress growth. AI may unlock substantial value by making expertise and computer capabilities more accessible.

Why does the speaker think AI can help entrepreneurs?

AI can provide answers and guidance that once required a knowledgeable personal network, and it can help people use computers without specialized technical skills. This could democratize entrepreneurship and make starting a business easier. The speaker acknowledges risks but expects AI’s positive effects to outweigh its negative ones.

How is AI affecting entrepreneurship and Shopify’s business?

Shopify is seeing strong growth in storefront creation, particularly among younger entrepreneurs. The speaker credits AI and creator content, including MrBeast’s videos, with making entrepreneurship and business-building more visible and appealing.

How does Shopify encourage employees to use AI?

Tobi described setting an expectation that employees use AI reflexively and consider whether AI can handle work before requesting more headcount. Shopify’s adoption was already underway, and he says AI-related expectations became organic across the company.

What is Tobi’s long-term ambition for Shopify?

He wants to build a company that can thrive without him. While he remains there, he hopes to be one of Shopify’s greatest assets, and he emphasizes continual decision-making and keeping teams aligned without relying heavily on annual plans or committees.

How should companies handle differing views about AI?

Companies should make their values and expectations explicit, including their stance on AI. Clear expectations help people find workplaces where they can thrive; people skeptical of AI may not fit well in organizations where colleagues depend heavily on AI agents. The speaker also argues that code should be judged as code, not rejected solely because AI helped generate it.

How might personal-agent startups make money?

Their business models may depend on the value they provide, the tasks they can uniquely perform, and how effectively they attract users. A transaction take rate is not guaranteed: Shopify’s roughly 3% payment fee largely goes to credit-card companies, leaving little room to share. Some companies may prioritize growth before monetization if they can remain financially viable.

What does the speaker think about the economics of AI agents?

Tobi expects people to pay for agents that deliver meaningful value, save money, or reveal inefficient spending. He expects costs to decline and sees possible monetization through usage metering or transactions. He is less concerned with Shopify capturing a larger share of the value than with growing gross-profit dollars by lowering costs and enabling more entrepreneurship.

What is Shopify’s mission, and how does it shape the company’s priorities?

Shopify aims to make starting a business easier and more common, ideally as a plan A rather than a plan B. Tobi wants to remove barriers to getting started, including allowing AI agents to help people sign up. He notes that sign-ups peak around local lunch breaks, when people often try an idea after dissatisfaction at work or a career setback.

What advice does the speaker give startups?

Focus less on margins or take rates and more on creating something so valuable that customers cannot ignore it. In consumer markets, the offering must be worthwhile compared with small everyday expenses, such as a cup of coffee.

How should Shopify stay innovative as a large company?

Shopify should continually imagine the ideal version of the company built from scratch, compare it with reality, and be willing to change even when that means abandoning existing investments. Tobi says the greater competitive risk is someone building a better Shopify, so he begins each year considering how he would do that himself.

How might advertising change as AI agents become more common?

People must be able to trust that agents act on their behalf rather than secretly taking paid recommendations. The speaker sees an opportunity to create socially acceptable discovery and matchmaking systems for agents while preserving smaller businesses’ ability to reach customers. New forms of advertising or matchmaking may help keep that opportunity open.

What can Tobi’s local AI assistant do?

It can use nearly 15 years of personal computer activity, writing, and logs, along with information such as his calendar, location, and Fitbit data. It conducts research, writes briefings, and runs custom scripts. In one experiment, it used heart-rate data to identify which meetings were most stressful.

Why does Tobi value his AI assistant so highly?

He considers AI agents among the most compelling technologies he has encountered and says losing his assistant would feel like a major regression. He values its ability to understand his personal history and work with him, and argues that people often overlook how much better modern life is than the past when imagining dystopian futures.

Summary of Timestamps

Shopify’s support for Muse reflects a different philosophy from Amazon’s. Tobi describes Amazon as a broad digital department store, while Shopify is designed to help independent merchants build distinctive businesses through entrepreneurship and storytelling.

Shopify is built to serve merchants rather than operate a traditional marketplace balancing buyers’ and sellers’ interests. As shopping moves toward AI agents, Shopify plans to support purchases through APIs and checkout systems, wherever customers choose to shop.

Tobi says AI-driven shopping is growing from a small base, but the more meaningful change is the kinds of purchases agents can support. They may help plan larger, multi-step projects—such as outfitting a home gym or organizing a weekend activity—by finding supplies, placing orders, and handling follow-up needs.

These project-based “muse cases” point toward new ways of using technology, not merely faster versions of familiar tasks. Tobi connects this sense of possibility to science fiction, noting that speculative stories can anticipate future technologies while also reflecting the hopes and fears of their own eras.

Tobi welcomes a renewed optimism about technology. AI systems trained rather than traditionally programmed, and evaluated by testing what they can do, represent a significant shift. He sees AI as a new frontier of capable, patient assistants that can make everyday work easier and help people imagine new possibilities.

The conversation contrasts abundance with zero-sum thinking. Tobi argues that value is often hidden until people discover how to unlock it, whether through AI, scientific advances such as nuclear energy, or entrepreneurs creating products and services people need.

AI could make entrepreneurship more accessible by giving people guidance that once depended on knowledgeable personal networks or specialized technical skills. Tobi acknowledges genuine risks but expects AI’s benefits to outweigh its harms, and describes its future as collaboration between human and synthetic intelligence.

Public attitudes toward AI may be shaped by incentives that make pessimism sound sophisticated and optimism seem naive. Tobi expects people’s views to change as they experience AI’s practical usefulness, even as economic and political tensions may make the discussion more contentious in the short term.

Shopify is seeing strong growth in storefront creation, particularly among younger entrepreneurs. Tobi credits AI and creator videos, including MrBeast’s, with making the process of starting and growing a business more visible and appealing.

Tobi describes differences in regional attitudes toward AI: the United States is adopting it quickly, Europe is more skeptical, and Canada falls between them. He values Shopify’s position outside California because it allows the company to learn from Silicon Valley without adopting its culture wholesale.

The conversation turns to company-building and independent thinking. Tobi admires Meta’s scale and Mark Zuckerberg’s entrepreneurship, including the decision to open-source Llama models, while also noting that running a company of tens of thousands of employees requires a different kind of leadership.

Shopify’s founder-led structure, Tobi says, helps the company move quickly and avoid excessive bureaucracy. He encouraged employees to use AI reflexively and to consider whether AI could handle work before asking for more headcount; inside Shopify, the expectation built on adoption already underway.

Rather than relying only on annual plans or committees, Shopify tries to identify the next best step and keep teams aligned while allowing them to work independently. Tobi’s long-term goal is to build a company that can thrive without him, while contributing as much as possible during his time there.

Companies should make their values and expectations clear, including their approach to AI. Tobi argues that work should be judged by its quality rather than by whether AI helped produce it, and that clear expectations help employees find workplaces where they can succeed.

The business model for personal AI agents remains uncertain. Transaction fees may be difficult to capture, especially since payment fees already leave little margin, so the opportunity will depend on the value agents provide, the tasks they can uniquely perform, and their ability to attract users.

AI startups also face high computing costs, creating questions about how current spending and valuations can be sustained. The speakers note that a substantial share of investment goes toward GPUs, while recognizing that the economics of fundraising are not Tobi’s area of day-to-day experience.

Tobi believes people will pay for agents that deliver meaningful value, save money, or reveal inefficient spending. He is more focused on growing Shopify’s gross profit dollars than on capturing a larger percentage of transactions, and sees AI as a way to make business software cheaper and entrepreneurship more accessible.

Shopify’s mission is to make starting a business easier and more common. Tobi points to sign-ups peaking around local lunch breaks as a sign that people often test ideas during a break from work or after a career setback, and wants AI to reduce even more barriers to getting started.

Shopify must serve everyone from first-time founders to billion-dollar businesses while staying nimble. Tobi says the company should regularly imagine what the ideal Shopify would look like if built from scratch, then be willing to change existing systems rather than let past investments prevent progress.

For startups, Tobi’s advice is to focus first on solving a real problem and becoming valuable to customers, rather than obsessing over margins or take rates. In consumer markets, a product must offer enough value to compete with everyday spending choices.

Advertising may need to change as AI agents become more common. People must be able to trust that agents are acting for them, so new discovery and matchmaking systems should be transparent while preserving opportunities for smaller businesses to find customers.

Tobi sees potential to build new forms of advertising and product discovery, possibly using more mature blockchain tools. The conversation then shifts to his home server setup, where he has converted an underused wine-room space into a working computer and model-training area.

Tobi describes running a local AI assistant that can draw on nearly 15 years of personal computer activity, writing, and logs. By using information such as his calendar, location, and Fitbit data, it can research topics, prepare briefings, and run custom scripts.

One experiment used heart-rate data to identify which meetings were most stressful—a result Tobi shared with the people involved, though they were less amused than he was. He considers AI agents among the most compelling technologies he has encountered and says losing one would feel like a major step backward.

The conversation closes on the value of perspective: people may overlook how much better many aspects of life are today than in the past when imagining dystopian futures. Tobi says he would give up many conveniences before giving up his AI assistant, which he views as a genuinely useful partner.