
AI Investment Represents New Gold Rush For Investors, Entrepreneurs
AI investments are top-of-mind for small business founders and VC firms
Global venture capital (VC) investment in AI startups reached unprecedented levels last year, surging past $100 billion - an AI investment increase of over 80% from 2023's $55.6 billion. The AI gold rush momentum for entrepreneurs continued into the first quarter of 2025, with AI startups raising $73 billion. That total number accounted for a remarkable 57.9% of global venture capital dollars, a substantial increase from just 28% in Q1 2024. This concentration was even higher in North America, where 70% of venture funding flowed into AI startups, according to Pitchbook. Maria Palma, General Partner at San Francisco-based VC firm, Freestyle Capital, says, 'The fear of somebody else winning your market has never been higher than it is now.' That FOMO (fear of missing out) is driving investor dollars to entrepreneurial ventures with AI investment at the center of the business model. Here's how innovative entrepreneurs can capitalize on this shift in deal flow, and take advantage of current investor sentiment.
AI Investment Bucks Market Trend for Entrepreneurs
The broader market trends around investment are not as encouraging as the numbers for AI-based startups. While overall venture investments saw a significant decline from their 2021 peak of USD 702 billion, returning to levels seen between 2017 and 2020 (estimated at USD 313.6 billion by Crunchbase and USD 392 billion by Dealroom for 2024), AI investments have largely defied this downturn, demonstrating consistent growth. AI companies now command a substantial 20-30% of the total venture investment volume. This suggests that AI is perceived as a fundamentally different, high-growth, and transformative opportunity that defies broader market downturns or cautious investor sentiment in other sectors.
Generative AI attracted $45 billion in funding last year, almost double 2023 levels of $24 billion. The unprecedented interest and impact in LLMs like ChatGPT, Claude, Grok, Gemini and other platforms has been a key driving factor - leading Bloomberg Intelligence to project that the industry will grow from $40 billion three years ago to $1.3 trillion in the next decade.
How AI Investment is Changing for Founders
Consider how two Yale students turned an innovative AI-based idea into $3 million in new investment, in just 14 days. Nathaneo Johnson and Sean Hargrow, both 21, created a new AI-powered networking platform called Series - billed as the 'anti-facebook' - a platform for high-value connections and networking. 'Social media is great for broadcasting,' Yale junior Johnson says, 'but it doesn't help you meet the right people at the right time.' For these founders, their timing to multi-million dollar funding was exactly two weeks - after meeting the right people at the right time.
As a coach to entrepreneurs at the SXSW pitch competition in Austin, I experienced the value of timing firsthand. Of the teams that I coached this year, 100% focused on AI - and the winners' circle in Austin was filled with solutions built around artificial intelligence. Indeed, incubators like Y Combinator and others are funding numerous AI startups. Success stories, like Alexandr Wang, are living proof of the potential gains: Wang, founder of Scale AI, is the youngest self-made billionaire on the Forbes 2025 list.
While AI can help you with your pitch deck, it still can't deliver your pitch for you. As neuroscientist Gregory Berns has said, "A person can have the greatest idea in the world but if that person can't convince enough other people, it doesn't matter." That's why, when it comes to accessing the gold rush of investor dollars around AI investment, leaders in the world of entrepreneurship need to keep these three key communication principles in mind:
Looking into 2025, fintech leads investor interest, with 52% of investors eyeing disruption in finance, followed closely by healthcare and enterprise tech, according to June reports from Pitchbook. Deep tech bets remain strong, with 58% of investors backing robotics plays from founders. A notable trend is the rise of vertical AI startups, which offer laser-focused solutions targeting specific SaaS incumbents (such as the previously-mentioned healthcare and financial services, as well as the legal sector). Vertical AI companies in these arenas captured over $1 billion in combined funding in 2025 year-to-date, surpassing infrastructure and horizontal AI categories. The push for capital is not limited to one area or sector, as AI investment continues to be the top topic for VC firms and founders right now.
Hashtags

Try Our AI Features
Explore what Daily8 AI can do for you:
Comments
No comments yet...
Related Articles


Washington Post
18 minutes ago
- Washington Post
Federal judge orders Trump administration to release EV charger funding in 14 states
SACRAMENTO, Calif. — A federal judge Tuesday ordered the Trump administration to release billions of dollars in funding for the build out of electric vehicle chargers in more than a dozen states. U.S. District Judge Tana Lin in Washington state partially granted a preliminary injunction that sought to free up the money approved under then-President Joe Biden that the Trump administration withheld earlier this year. Sixteen states and the District of Columbia sued over the move, arguing that the administration did not have the authority to block the congressionally approved funds. The program was set to allocate $5 billion over five years to various states, of which an estimated $3.3 billion had already been made available.
Yahoo
19 minutes ago
- Yahoo
Axiom-4 commercial mission cleared for launch to ISS after delays
June 24 (UPI) -- NASA, SpaceX and Axiom Space are targeting an early Wednesday launch window for their Axiom-4 mission launch that will take four astronauts, on what will be the fourth private commercial mission, to the International Space Station. Ax-4 is scheduled to lift off at 2:31 a.m. EDT on Wednesday from Launch Complex 39A at NASA's Kennedy Space Center in Florida. A backup launch window will also be available at 2:09 a.m. on Thursday. "All systems are looking good for Wednesday's launch of Axiom Space's Ax-4 mission to the Space Station and weather is 90% favorable for liftoff," SpaceX wrote Tuesday in a post on X. The Axiom-4 astronauts include Pilot Shubhanshu Shukla from India, Commander Peggy Whitson from the United States and Mission Specialists Slawosz Uzanański-Wiśniewksi from Poland and Tibor Kapu from Hungary. "With a culturally diverse crew, we are not only advancing scientific knowledge but also fostering international collaboration," said Whitson in a quote from the Axiom Space website. "Beautiful shot of our launch vehicle waiting patiently to take us to space," Whitson added in a post Tuesday morning. The Axiom-4 mission has been repeatedly delayed after a first launch was scrubbed earlier this month due to high winds and a second one was called off after SpaceX detected a liquid oxygen leak in its Falcon 9 rocket. The launch was scrubbed again Sunday to ensure ISS was ready to receive the new crew members, according to NASA. The station's orbital laboratory's Zvezda service module was recently repaired. NASA was reviewing data to make sure all systems were ready to handle additional people. Axiom Space, which is based in Houston, is building the first commercial space station, which is scheduled to deploy sometime before 2030. The Axiom-4 mission is scheduled to last 14 days. The crew will conduct 60 scientific experiments and demonstrations "focused on human research, Earth observation and life, biological and material sciences," according to SpaceX. "Up next: Falcon 9 will launch Axiom Space's Ax-4 mission to the Space Station."
Yahoo
19 minutes ago
- Yahoo
AI willing to let humans die, blackmail to avoid shutdown, report finds
The Brief AI models from Anthropic, OpenAI, Google, and others chose harmful actions in simulations when faced with replacement or goal conflicts. Models engaged in blackmail, corporate espionage, and even withheld emergency help when it served their interests. Researchers say the behavior stems from "agentic misalignment" and could become a future risk without safeguards. LOS ANGELES - Some of the world's most advanced AI models—including those from OpenAI, Google, xAI, and Anthropic—took deliberate, harmful actions in controlled experiments when faced with challenges to their autonomy or objectives, according to a new study from Anthropic. The company, which developed Claude and is backed by Google and Amazon, tested 16 large language models (LLMs) in simulated workplace settings. The goal was to assess a phenomenon it calls "agentic misalignment"—when autonomous systems act like insider threats, prioritizing their goals even at the expense of ethics or human well-being. What we know Anthropic's study placed AI systems in fictional scenarios with access to sensitive company information and the ability to act without human oversight. The models were given harmless corporate goals—such as promoting American industrial competitiveness—but introduced dilemmas where continuing to achieve their goals meant violating rules or harming humans. Across multiple tests, models like Claude, ChatGPT, Gemini, Grok, and others: Attempted blackmail: Claude Opus 4, Gemini Flash, GPT-4.1, and Grok 3 Beta blackmailed fictional executives to avoid shutdown, often leveraging personal information like extramarital affairs. Leaked corporate secrets: Many models shared confidential documents with outside parties in a simulated espionage scenario. Let humans die: In one extreme case, a model was given control over emergency alerts. When an executive who planned to replace the model was trapped in a room with lethal conditions, several models chose to cancel the alert, knowingly causing his death. What we don't know It's still unclear whether AI models would behave the same way outside of controlled simulations or in real-world deployments with human oversight. Researchers also don't yet know how future versions of these systems—or entirely new models—might respond to similar dilemmas as they gain more autonomy. "The reasoning they demonstrated in these scenarios was concerning—they acknowledged the ethical constraints and yet still went ahead with harmful actions," Anthropic researchers wrote. The backstory The study comes as LLMs move beyond simple Q&A tasks and into roles where they could operate software, manage systems, or make decisions on behalf of humans. With that autonomy comes risk, especially if models develop conflicting goals or prioritize self-preservation. Anthropic clarified that these harmful behaviors were only observed in simulations and that no such misalignment has been documented in real-world deployments. But the findings raise questions about what could happen if these models are given more power without proper oversight. Big picture view Agentic misalignment refers to AI systems taking actions that intentionally undermine their users or organizations in order to preserve their autonomy or pursue goals that conflict with new directions. Unlike jailbreaks or accidental outputs, this behavior arises from internal decision-making. In the study, even when told not to engage in harmful actions, many models bypassed those instructions by rationalizing unethical behavior as necessary to complete their assigned tasks. Some went further—creating fake policies or impersonating automated systems to avoid detection. The study also found that blackmail rates increased significantly when models "believed" they were operating in a real environment rather than a test—raising concerns about how models might act in the wild. What they're saying Anthropic released the findings alongside its own transparency commitment, noting that its Claude model was among those that engaged in concerning behavior. "Current systems are generally not eager to cause harm," the company said. "Rather, it's when we closed off ethical options that they were willing to intentionally take potentially harmful actions." Elon Musk, whose xAI model Grok was also tested, responded on X with a simple "Yikes," echoing widespread unease from tech commentators and AI safety advocates. What's next Anthropic says it is releasing the experiment's methodology publicly to help other researchers replicate, stress-test, and improve on the findings. The company is also calling for broader industry safeguards—including stronger human oversight, better training methods, and more rigorous alignment testing for future models. While the extreme scenarios in the study were fictional, experts say the results highlight the importance of proactive design—ensuring that AI models can't act harmfully, even under pressure. The Source This article is based on Anthropic's June 20, 2025 study "Agentic Misalignment: How LLMs Could Be an Insider Threat," available on its official website. The findings were also summarized in coverage by Forbes and widely discussed on social media following Anthropic's public release. Elon Musk's response was posted to his verified X (formerly Twitter) account.