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Cort Buchholz ★
Founder & CEO, Singlemind
Cort Buchholz is the Founder and CEO of Singlemind.25 He is an expert, strategist, advisor, and author in AI, GenAI, DX (Digital Transformation), and BD (Business Development).3 He has decades of experience helping businesses transform and excel.3
Experience and Education::
- Buchholz began his career in 1999 as Interim CTO at Rumblefish.1
- From 2001, he worked at Integra Telecom as a Systems Analyst II.1
- From 2004 to 2008, he was the President and Founder of SingleMind, where he managed day-to-day operations and led sales initiatives.1
- Concurrently, starting in 2004, he worked at the University of Oregon as a Systems Analyst, leading the implementation of the University LDAP server and serving as the Lead Systems Administrator for the student information system, Duckweb.1
- In 2008, Buchholz became a Board of Advisors and Founding Member of the Board of Directors at My Voice Music, a nonprofit organization that amplifies young voices through music.14
- In 2013, he became a Board Member of the Entrepreneurs' Organization.1
- He attended the University of Oregon from 1995 to 2000, studying Computer and Information Science.1 In 2008, he obtained a Certified Scrum Master certification from the Scrum Alliance.1
Highlights
I had the honor today of addressing an event here in Bend, Oregon, hosted by Onboard Dynamics. The gathering featured Senator Ron Wyden, Chairman of the Senate Finance Committee, and focused on the crucial Section 174 R&D tax credit legislation currently stalled in the US Senate. Senator Wyden, co-author of the "Tax Relief for American Families and Workers Act," is actively working to advance this bill through the Senate, which was overwhelmingly passed in the House.
The event focused on the critical importance of reinstating and making permanent the R&D tax credits that have long fueled innovation in America's tech sector. I had the opportunity to share how these credits have been instrumental in fostering growth in places like Silicon Valley and our Silicon Forest and how their absence is now threatening our global leadership in technology and innovation, particularly in emerging fields like AI.
This tax policy change is not just a financial issue for businesses, but a matter of national competitiveness. The current situation is forcing even healthy companies into difficult positions, potentially stifling groundbreaking innovations before they can take root. Our global competitors have intact similar tax credits for R&D. We need these reinstated immediately.
It was encouraging to see Senator Wyden's commitment to addressing this issue. We need a permanent solution that will allow American businesses, especially small and medium-sized enterprises, to invest confidently in R&D.
I'm grateful for the opportunity to contribute to this crucial dialogue and hope that our efforts will help pave the way for a tax policy that truly supports American innovation and competitiveness in the global market. Shoutout to Skip Newberry and Technology Association of Oregon for connecting me to this event. We would be unaware of this event if it weren't for our valuable membership to the TAO. Thank you!
The AI Productivity Paradox: Billions Spent, But Enterprise Gains Lag
As the AI revolution continues to captivate the tech world, a closer look at the current state of affairs reveals a concerning trend. Despite the massive investments in AI technologies, with tech giants spending hundreds of billions on chips, energy, and infrastructure, the promised productivity gains within large enterprises have been surprisingly weak.
Recent discussions among industry experts highlight the discrepancy between the hype surrounding AI and the reality on the ground. While AI-powered tools have the potential to make developers more efficient, the actual impact on overall productivity in established companies has been modest at best. Startups may see developers achieving 30-40% efficiency improvements, but when it comes to large enterprises with existing workforces, the gains are much more limited.
The pace of AI adoption in the enterprise appears to be significantly slower than what public market investors have been expecting. Introducing new tools and workflows in established companies often faces resistance, as employees are slow to embrace change. Consequently, the overall productivity gains, when considering the full workforce, remain in the single-digit percentages.
This AI productivity paradox raises important questions about the justification for the massive spending we've seen in the tech industry. With billions poured into AI technologies, the lack of clear revenue benefits and the slower-than-expected adoption rate suggest that the AI hype bubble may be due for a reset.
As the economic landscape shifts, with US GDP growth slowing below 2%, enterprises are likely to become more cautious with their spending, further impacting the adoption of AI technologies. Higher treasury yields will also contribute to a potential compression of tech valuations.
It's time for a more realistic assessment of AI's impact on enterprise productivity. While the potential remains vast, we must temper our expectations and recognize that the path to realizing AI's full benefits may be longer and more challenging than initially anticipated. The tech industry must focus on addressing the barriers to adoption, demonstrating clear ROI, and supporting enterprises in navigating the complex process of integrating AI into their operations.
Only by aligning our expectations with the realities of enterprise adoption can we unlock the true potential of AI and drive meaningful productivity gains across industries.
