Podcasts
Breakthrough InnovationDecember 9, 2025 · Host: JL Heather & Preston Chandler

AI alone won't save you - why innovation still needs humans

Amir Elion joins JL Heather and Preston Chandler on Breakthrough Innovation to explore why AI alone won't save you - covering systematic innovation frameworks, using AI as an innovation co-pilot, integrating AI into live workshops, Amazon's Working Backwards methodology, and why human judgment remains essential in the age of AI.

InnovationAI StrategyAmazonGenerative AIAI ToolsLeadershipBusiness Value

Originally published on Breakthrough Innovation

What you'll learn in this episode

In this conversation, Amir Elion, CEO of Think Big Leaders and former AWS Innovation Programs lead in the Nordics, joins JL Heather and Preston Chandler on Breakthrough Innovation to explore why AI alone will not save you - and why innovation still needs humans at the center. Based in Stockholm, Sweden, Amir shares practical frameworks for combining systematic innovation methodologies with AI tools while preserving the human judgment that makes innovation meaningful. These are topics Amir regularly speaks about at conferences and corporate events.

Systematic innovation meets AI

A central theme is Amir's approach to teaching AI established innovation methodologies rather than using it as a generic brainstorming tool. Over three years of experimentation, he built a system of AI-powered tools that support each stage of innovation - from jobs to be done problem scoping and customer empathy through SCAMPER and systematic inventive thinking ideation to idea elaboration and creative advertising. The breakthrough is not AI replacing innovation expertise, but AI amplifying a structured methodology that already works. This systematic approach to AI-powered innovation is a core part of Amir's keynote presentations and workshops.

Bringing AI into live workshops

The conversation tackles a practical challenge many facilitators face - how to use AI in real-time innovation sessions without disrupting the creative energy. Amir's approach: prepare AI tools in advance for specific workshop moments. When it is time to elaborate on ideas, bring in a pre-built tool that runs Edward de Bono's Six Thinking Hats analysis. When you need to prioritize, use AI to map complexity and trade-offs. The key is using AI as a precision instrument at the right moments, not as a constant background presence.

Why humans remain essential

Both hosts and Amir explore why human judgment, empathy, and the struggle of working through problems cannot be outsourced to AI. When 50 ideas emerge from brainstorming, someone must make judgment calls about context, values, and priorities. AI can challenge your thinking and offer perspectives, but the final decisions require human insight. There is also real value in going through the motions yourself - just as children still learn multiplication despite having calculators, innovators need to wrestle with problems to truly understand them.

Working Backwards - Amazon's innovation process

Amir provides a detailed walkthrough of Amazon's Working Backwards methodology. It starts with five questions: Who is the customer? What is their problem? What is the most important benefit? How do you know what customers need? What does the customer experience look like? Only after answering these do teams write an imaginary press release from the future - a jargon-free one-pager followed by customer and stakeholder FAQs. AWS itself went through roughly 30 versions before building. The key insight - most teams cannot clearly answer "who is the customer?" even with successful products.

Book Amir as a speaker

Amir regularly delivers keynotes and workshops on the topics covered in this episode - systematic innovation with AI, Amazon's Working Backwards methodology, human-centered AI adoption, and practical frameworks for innovation leaders. He speaks at conferences, corporate leadership offsites, and industry events across Sweden, the Nordics, and Europe. Learn more about Amir's speaking topics and availability.

Key Topics Discussed

Systematic innovation with AI

How Amir combines structured innovation methodologies like SCAMPER, systematic inventive thinking, and jobs to be done with AI tools - teaching AI his methods to create an innovation co-pilot that scales brainstorming, ideation, and analysis.

AI as an innovation co-pilot

The evolution from early ChatGPT experiments with copy-paste prompts to today's integrated tools - building custom AI skills, vibe coding dedicated innovation tools, and using AI as a talented employee that needs to be taught your methodology.

Integrating AI into live workshops

Practical approaches to using AI in real-time innovation sessions without killing the vibe - pre-built AI tools for specific workshop moments like Edward de Bono's Six Thinking Hats analysis, idea prioritization, and creative advertising techniques.

The human element in innovation

Why AI cannot replace human empathy, judgment, and the learning that comes from struggling through problems - the importance of going through the motions to truly understand complexity, and why humans must make the final judgment calls on priorities and values.

Amazon's Working Backwards methodology

A detailed walkthrough of Amazon's innovation process - the five deceptively simple questions (who is the customer, what is the problem, what is the most important benefit, how do you know, what does the experience look like), writing an imaginary press release from the future, and building customer and stakeholder FAQs.

The PRFAQ process in practice

How the press release and FAQ document works at Amazon - writing a jargon-free one-pager describing the future solution, adding up to five pages of customer FAQs and stakeholder questions, iterating through 10 to 30 versions, and using feedback to strengthen rather than kill ideas.

AI limitations and responsible use

Teaching people where AI tools fall short - understanding limitations, knowing when to double-check AI outputs, using AI as an extra perspective rather than a replacement, and the value of doing work first then using AI to find gaps in your thinking.

One actionable step for innovation readiness

Start with two questions from Working Backwards - who is your customer (be specific about the persona, not a category) and what is their problem. Write the answers down clearly, test them with someone outside the team, and refine until they are crystal clear.

Frequently Asked Questions

How can AI be used as an innovation co-pilot?
Teach AI your established innovation methodologies - like SCAMPER, systematic inventive thinking, or jobs to be done - so it becomes a structured co-pilot rather than a generic tool. Amir Elion built a system of AI-powered tools that help with each stage of innovation, from scoping problems and customer empathy to ideation, idea elaboration, and even creative advertising techniques.
How do you integrate AI into live innovation workshops?
Prepare AI tools in advance for specific workshop moments rather than using AI generically throughout. For example, when it is time to elaborate on ideas, use a pre-built AI tool to run Edward de Bono's Six Thinking Hats analysis - mapping pros, cons, data, and creative angles. This gives teams deeper analysis without consuming hours of workshop time.
Why can't AI replace humans in innovation?
AI lacks human empathy, contextual judgment, and the understanding that comes from struggling through problems yourself. When 50 ideas emerge from brainstorming, humans must make judgment calls about which ideas best fit the context, values, and priorities of the organization. AI can challenge your thinking and offer perspectives, but the final decisions require human insight.
What is Amazon's Working Backwards methodology?
Working Backwards is Amazon's customer-obsessed innovation process. Teams answer five questions - who is the customer, what is the problem, what is the most important benefit, how do you know what customers need, and what does the customer experience look like. Then they write an imaginary press release from the future describing the solution, followed by customer FAQs and stakeholder FAQs, iterating through many versions before building anything.
What is a PRFAQ and how does it work?
A PRFAQ is a press release and frequently asked questions document used at Amazon to define innovations before building them. The press release is a jargon-free one-pager describing the future solution and how it delights customers. It is followed by up to five pages of FAQs - first customer questions, then internal stakeholder questions about business model, operations, and scale. AWS went through roughly 30 versions of its PRFAQ before starting development.
What is the one thing leaders can do tomorrow to be more innovation-ready?
Start with two Working Backwards questions - who is your customer and what is their problem. Be specific about the persona (not 'companies that use our product' but 'the logistics manager at mid-size retailers'). Write the answers down, refine every word, and test clarity by sharing with someone outside the team. If they cannot understand it, keep refining.
What are the limitations of using AI for innovation?
AI tools have real limitations - they can miss context, produce generic outputs, and lack the judgment needed for strategic decisions. The key is knowing when to use AI and when to do the work yourself first. A powerful approach is doing the work manually, then using AI to check for gaps in your thinking, rather than relying on AI to do the initial creative work.
What innovation methodologies does Amir Elion use?
Amir uses a combination of established innovation methodologies including jobs to be done for problem scoping, customer empathy mapping, systematic inventive thinking (SIT) and SCAMPER for ideation, Edward de Bono's Six Thinking Hats for idea elaboration, and Amazon's Working Backwards methodology for taking ideas to market. He has taught these methods to AI tools to create scalable innovation co-pilots.
What topics does Amir Elion speak about?
Amir Elion delivers keynotes and workshops on systematic innovation with AI, Amazon's Working Backwards methodology, human-centered AI adoption, and practical frameworks for scaling innovation. His talks blend real-world experience from Amazon Web Services and Nordic enterprises with actionable methods that audiences can apply immediately.
Can I book Amir Elion as a speaker for my event?
Yes. Amir speaks at corporate events, conferences, and leadership offsites across Europe and internationally. His speaking topics include AI-powered innovation, Working Backwards methodology, and integrating AI into innovation processes while keeping humans at the center. Visit amirelion.com to learn more and book a session.

About Amir Elion

Amir Elion is an AI strategist, innovation consultant, and keynote speaker based in Stockholm, Sweden. As CEO of Think Big Leaders, he helps Nordic and European enterprises develop practical AI strategies, run innovation workshops, and build AI-powered products. Previously, Amir led the AWS Innovation Programs in the Nordics, bringing Amazon's Working Backwards methodology to companies like Volvo and KONE. He combines 25+ years of innovation experience with hands-on generative AI expertise.

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