SXSW Takeaways: What Innovation Leaders Should Be Watching Next
Krista Foley-Siefert – Managing Director, Operations & Strategic Initiatives
The next phase of growth will be driven by AI, high-value users, and the convergence of digital and physical industries.
In its 40th year, SXSW (South by Southwest) convened founders, investors, researchers, and creatives in Austin, Texas, one of the United States’ leading hubs of innovation and culture. The global festival draws roughly 300,000 participants, with nearly 30% coming from outside the U.S.
Across sessions on entrepreneurship, venture capital, artificial intelligence, and emerging technologies, one message came through clearly: the regions that will lead in the next decade are those building strong innovation ecosystems and supporting founders working at the intersection of software, hardware, and infrastructure.
At the same time, a consistent set of trends emerged around where innovation and investment are heading next.
Key Tech & Media Trends Shaping Growth
Insights from The New Growth Playbook: Activate Consulting’s 2026 Tech & Media Outlook reinforced several broader shifts:
- A small group of highly engaged users, often called “super users,” is driving most spending and early adoption of new technologies, including AI tools, smart glasses, virtual reality, and emerging tools like vibe coding.
- AI is now built into everyday apps and is shaping how people search, compare, and make decisions, from product recommendations on Amazon to search experiences in apps like Target
- People are constantly switching between apps, devices, and tasks, checking email, scrolling social media, texting, and browsing at the same time, making attention harder to capture
- Video has become the primary way people discover products, learn, and engage online, especially on platforms like TikTok, YouTube, and Instagram
- Gaming platforms are evolving into major social environments where people connect, spend time, and spend money, with platforms like Fortnite and Roblox functioning more like digital communities than traditional games
- Online commerce will likely remain dominated by a small number of large platforms, such as Amazon and Alibaba
- New technologies like voice assistants and augmented reality devices are pointing toward a future with less screen time and more seamless digital experiences, including tools like smart glasses, AirPods, and wearable devices that interact with the world around us
Rethinking Economic Development
These shifts are already changing how regions think about growth.
At Midwest House, during the International Economic Development Council session The Next 100 Years of Economic Development, speakers made it clear that traditional models centered on recruiting large employers are no longer enough. Entrepreneurs and startups are becoming a primary driver of innovation, job creation, and long-term growth.
The challenge now is building the conditions that help founders succeed: strong networks, access to capital, institutional support, and policies that make it easier to scale.
What Investors Look For in Startups
That same theme carried into the VC Reverse Pitch, where investors shared what they actually look for:
- Strong, credible founding teams
- Clear differentiation in crowded markets
- Evidence of real customer demand
- Direct, transparent communication
For those working in innovation and economic development, the takeaway is straightforward: supporting startups is not just about visibility. It is about helping companies become investment-ready through customer discovery, pilot opportunities, and strong market positioning.
Thinking in the Age of AI
Artificial intelligence was everywhere at SXSW, but not in a simplistic way. Rather than focusing only on efficiency, many sessions explored how AI is changing how people think and work.
In Thinking in the Age of AI, speakers emphasized that AI should strengthen human thinking, not replace it. One idea that stood out was “productive friction.” Instead of removing effort entirely, the goal is to design workflows that create a pause, encouraging people to question outputs and apply judgment before accepting them.
In a separate session on Human-Centered AI Adoption, a complementary point emerged: efficiency is the wrong starting point. The more important question is what becomes possible now that wasn’t before.
A related session, AI in Action: Prompt to Prototype, presented by the University of Michigan’s AI Business Group, translated this into practice. Effective prompting starts with clearly defining the task, assigning the AI a role, and specifying the desired output. From there, results improve through clarification, iteration, and refinement. In other words, effective AI use is structured and intentional.
The shift, then, is from passive use of AI to active collaboration. That means clearly framing problems, setting constraints, and refining outputs rather than accepting them at face value, often referred to as “AI slop.”
As AI makes tools and workflows more accessible, what stands out on the human side are judgment, taste, and decision-making.
The takeaway: AI raises the bar for human thinking. While it will replace some jobs, it will increasingly favor those who can use it effectively as a thought partner.
Breakthrough Technologies and Convergence
These changes in how AI is used are happening alongside rapid advances across multiple sectors.
This convergence was reinforced in MIT Technology Review’s 10 Breakthrough Technologies of 2026, which highlighted progress across:
- Energy (sodium-ion batteries, next-generation nuclear): Lower-cost, more abundant battery chemistries are emerging alongside nuclear designs that are smaller, safer, and faster to deploy. At the same time, AI-scale infrastructure is driving significant new energy demand, putting pressure on existing grids and accelerating investment in power generation.
- AI (coding systems and automation): AI is increasingly writing and managing code, with a growing share of software development now machine-assisted. This shifts AI from a tool to an active participant in production, raising questions about quality, oversight, and workforce impact.
- Biotech (gene editing): Advances in gene editing and embryo screening are enabling more precise prediction and modification of genetic traits. The field is moving from research into real-world clinical and commercial applications, bringing increased ethical and regulatory complexity.
- Space and advanced systems: The shift from government-led to commercial space infrastructure is accelerating, including privately operated space stations. These systems support research, communications, and defense, positioning space as an operational domain, not just exploration.
The key point: these technologies are not evolving in isolation. AI growth is tightly linked to energy demand, infrastructure, and new supply chains. For economic development leaders, sector strategy can no longer operate in silos.
Amy Webb of the Future Today Strategy Group pushed this further in her SXSW keynote introducing the new Convergences Report. Rather than tracking individual trends, her framework focuses on where technologies, societal shifts, and business models intersect to drive deeper, system-level change.
She described convergence as something that reshapes entire systems, creates new realities, redistributes value, and is difficult to reverse once it takes hold.
Three convergences stood out:
- Human augmentation: technology extending human capability, where the body becomes a platform and AI acts as a layer that interprets and guides decisions
- AI-driven “unlimited labor:” automated systems producing work at scale, on demand, with minimal human involvement
- Emotional outsourcing to machines: the growing reliance on AI for support, validation, and interaction
Together, these shifts point to a new reality: more output with fewer people directly involved in production, and increasing reliance on machines not just for work, but for connection.
This raises a bigger question. If AI changes the role of human labor, how do we continue to value human contribution?
Webb pointed to a potential path forward: a contribution-based model that assigns economic value to activities like caregiving, mentorship, and community support, funded by the institutions and markets that benefit from automation.
The goal is not to slow innovation, but to make sure it scales in a way that maintains social stability.
Startup Trends Across Key Innovation Sectors
This convergence was visible in the SXSW Pitch, where early-stage startups reflected trends closely aligned with MIBA’s (Michigan Israel Business Accelerator) priorities.
Across key sectors:
- HealthTech: AI-enabled diagnostics, personalized care, earlier intervention
- Defense / Dual-use: sensing, cybersecurity, autonomous systems
- Advanced manufacturing: robotics, digital twins, intelligent quality control
- Sustainability: energy storage, decarbonization, grid optimization
Across all sectors, one pattern stood out: innovation is happening where digital tools meet physical systems. The strongest companies are not just building software. They are reshaping how we produce energy, deliver healthcare, manufacture goods, and secure infrastructure.
One example came from Michigan. Detroit-based Ecosphere Organics received the Best Speed Pitch award, standing out among more than 600 applicants. The company is converting organic waste into high-value biomaterials through advanced processing and data-driven manufacturing.
SXSW Pitch continues to serve as a high-visibility platform for early-stage companies and a launchpad for future growth.
Why This Matters for Michigan–Israel Innovation
For those working at the intersection of Michigan industry and Israel’s startup ecosystem, the takeaway is clear: the regions that lead will be those that connect global innovation strengths with local industry needs.
Michigan brings deep expertise in manufacturing, mobility, defense, and industrial systems. Israel continues to produce cutting-edge startups in AI, cybersecurity, health technologies, and advanced software. When these capabilities connect, they create opportunities for pilots, partnerships, investment, and market expansion.
As technologies converge and industries evolve, the opportunity is not just to track what is new, but to build the bridges that move innovation from idea to impact.
