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Oliver Molander
Data & AI Entrepreneur and Investor | Bridging Business and Engineering
Oliver Molander is a Data & AI/ML Entrepreneur and Investor based in Stockholm, Sweden.1 He is the Co-Founder of Gradient Partners, a position he has held since 2024.3 With almost a decade of experience in Data and AI/ML Infrastructure, Molander has a background as a founder, operator, and investor.1
Molander has a strong entrepreneurial career focused on emerging software industries and global markets, including ML & Data Infrastructure startups, venture capital, and work with Fortune 500 technology leaders such as Google.1 He has successfully raised over $50 million in early-stage funding from tier 1 VCs as a founder and operator.1
His educational background includes:
- B.Sc. from Tsinghua School of Economics and Management (2010-2011)
- Bachelor of Science from Hanken School of Economics (2008-2011)
- Master of Science from Hanken School of Economics (2011-2012)1
Molander is passionate about bringing new and paradigm-shifting technologies to market, with a focus on building products with the right go-to-market strategy, messaging, and team growth.1 He has a deep understanding of the startup, venture capital, SaaS, cloud, data, and AI/ML ecosystems, along with solid global relationships at various levels.1
In addition to his role at Gradient Partners, Molander has been involved in several other ventures and roles, including:
- Angel Investor in multiple companies (2020-Present)
- Top Medium Writer in Startups & Technology (2022-Present)
- Co-Founder and Chief Growth Officer at an unnamed company (2020-2023)
- Advisor on AI/ML and Data Infrastructure (2017-2023)
- Venture Partner and Founding Advisor in AI/ML and Data Infrastructure (2017-2023)3
Molander's LinkedIn profile (username: olivermolander) showcases his expertise in artificial intelligence, startups, and venture capital.245
Highlights
OpenAI Strawberry is out 🍓
OpenAI o1 ranks in the 89th percentile on competitive programming questions .
This stuff is getting wild.
Read more here: https://lnkd.in/dnTQFmrt
As per OpenAI, they're releasing a preview of OpenAI o1—a new series of AI models designed to spend more time thinking before they respond.
These models can reason through complex tasks and solve harder problems than previous models in science, coding, and math.
This is essentially GPT-5.
This announcement comes as OpenAI is reportedly raising at a $150 billion valuation — making it worth more than 88% of Fortune 500 firms.
They are in talks to raise $6.5 billion from investors, including Microsoft and Apple.
#openai
I wonder how much of this goes on in big tech? 😬
I've even read stories about some remote tech workers doing multiple jobs simultaneously - naturally boosting their salaries.
However, I think there's one big tsunami on the horizon that will make this obsolete (and I'm not talking about return-to-the-office policies).
And this has nothing to do with whether we're in an AI bubble or not right now. We were in a dotcom bubble and the Internet at the end of the day made us orders of magnitude more efficient/productive.
AI is driving increased productivity and smaller team sizes.
I'm hearing more and more about impressive AI productivity gains from startups, scaleups and larger enterprises.
Here are a couple of recent concrete public examples:
➡ Walmart: the retailer revealed in a recent earnings call that LLMs have allowed the company to automate and complete key tasks that would once have required 100 times as many staff to complete manually. Walmart bosses e.g. announced that GenAI has allowed the supermarket chain to complete a major transformation project using just 1% of the staff required in the pre-AI era.
➡ Amazon: CEO Andy Jassy revealed in a recent post here on LinkedIn last week that with the integration of Amazon Q's new code transformation capability upgrading applications (such as transitioning to Java 17) - which have been labor-intensive - the completion time has been dramatically reduced to just a few hours. Jassy noted, “We estimate this has saved us the equivalent of 4,500 developer-years of work (yes, that number is crazy but, real).”
➡ Klarna: a report published on Wednesday last week indicated that Klarna is “seeking to get rid of almost half of its employees in the coming years through efficiencies it says arise out of its investment in AI.” The article noted that the company has already reduced its headcount from 5,000 to 3,800, and wants to reduce its workforce to 2,000 by using AI in e.g. marketing and customer service. Sebastian Siemiatkowski, CEO and co-founder of the company, told the BBC that “the job cuts would mean Klarna could pay its remaining workers more.”
I think that we're at the cusp of a much larger transformation than people understand. As highlighted by Y Combinator co-founder Paul Graham in June:
"If AI allows companies to be smaller, that will be a qualitative change. Lots of things break once organizations get big. We take it for granted, even in the startup world. But imagine if that stopped happening."
In the next 3 to 10 years, we may see increasing numbers of billion-dollar exits from companies with just 20 employees, making value and revenue per employee key metrics to watch.
This could be one of the biggest changes in the startup and VC ecosystem since the advent of AWS and cloud computing
#startups #venturecapital #artificialintelligence
