The hottest Innovation Strategies Substack posts right now

And their main takeaways
Category
Top Business Topics
The Uncertainty Mindset (soon to become tbd) 79 implied HN points 08 May 24
  1. Regular management practices often assume stability, which makes teams weak when unexpected events happen. Instead of relying on these outdated methods, teams should prepare for unpredictability.
  2. To stop 'firefighting', organizations need to adjust their staffing expectations and allow roles to evolve as needed. This helps teams stay adaptable in changing situations.
  3. It's important to make experimentation a part of policymaking. By training teams to test ideas effectively, they can respond better to new challenges and avoid being stuck in old ways.
Workforce Futurist by Andy Spence 488 implied HN points 08 Jan 25
  1. New AI roles are emerging as technology evolves, like 'AI Ethicist' and 'Chief AI Officer'. These jobs focus on ethical AI use and strategic implementation within companies.
  2. AI will change how people interact with technology, leading to roles like 'AI Trainer' and 'AI Explainability Specialist'. These professionals help make sure AI systems work well with human users.
  3. The way we define work is shifting, moving from time-based to output-based models. This means the focus will be on what is produced rather than how long it takes to do it.
André Casal's Substack 19 implied HN points 26 Jul 24
  1. Job-to-be-done theory helps define your market by focusing on customer needs and their desired outcomes. Understanding what users want makes it easier to tailor your product.
  2. Creating a survey can help you collect valuable feedback from customers about their unmet needs. This insight can guide you in improving your product and identifying opportunities.
  3. Improving your landing page with comparison criteria and customer testimonials can make it more appealing. It’s important to keep iterating based on customer feedback to better serve their needs.
Gad’s Newsletter 17 implied HN points 04 Aug 25
  1. Apple's internal structure has led to problems in its AI development. The secretive and product-focused culture has made it hard for teams to communicate and work together effectively.
  2. Apple's AI efforts are hindered by its strict focus on hardware, limiting the power and capabilities of its AI models. This means they often can't compete with more powerful AI from other companies.
  3. To improve in AI, Apple may need to change its ways by being more open and collaborative. This could help bring together its research and product teams, leading to better AI outcomes.
Fish Food for Thought 14 implied HN points 18 Dec 24
  1. Businesses often rush to use new technologies without understanding if they actually solve customer problems. This can lead to wasted resources and missed opportunities.
  2. The cycle of excitement followed by disappointment with new tech is common. Companies should be aware of this pattern and avoid adopting technologies just because they're popular.
  3. To make the most of new technologies, teams should work together, focusing on real customer needs before jumping in. Collaboration and clear communication are crucial.
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