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Artificial Intelligence, Investing, Commerce and the Future of Work

Funding Highlights: AI and Therapeutics Steal the Spotlight

The first months of 2025 have seen a continuation—and acceleration—of two revolutionary trends: the relentless ascent of artificial intelligence (AI) startups and the robust funding growth in therapeutics companies pushing the boundaries of medicine. Despite broader market hesitations and a volatile macroeconomic backdrop, investors are doubling down on innovation-centric sectors that promise long-term returns and industry-defining breakthroughs. In an eye-opening development reported by Crunchbase News (2025), 13 companies raised rounds exceeding $100 million in a single week, with over half emerging from the therapeutics and AI verticals. These two areas illustrate where the future lies—in solving hard problems, from drug-resistant diseases to neural network scale and reliability.

Relentless AI Investment Even in Tight Conditions

Artificial intelligence continues to attract record-breaking sums in 2025, even amid rising concerns over operational costs, infrastructure dependencies, and ethical challenges. Notably, France’s AI unicorn Mistral AI reinforced Europe’s position in the AI race with an enormous $640 million Series C round backed by General Catalyst and Andreessen Horowitz. This comes in the same quarter that OpenAI expanded its global partnership with Apple, as reported earlier this month on the OpenAI Blog, integrating ChatGPT across new enterprise tiers for iOS and macOS, adding commercial clout to its consumer AI platforms.

Meanwhile, more specialized models such as those produced by Anthropic (Claude 3), Meta (Llama 3), and Google DeepMind (Gemini 1.5) are in parallel competition for dominance of AI services targeted at enterprises and developers. The cost of training large language models (LLMs) is non-trivial. According to NVIDIA’s March 2025 blog report, training GPT-4-level models now requires an investment range of $80 million to $120 million, largely due to GPU scarcity and increasing parameter sizes.

This growth is fueled by increasing demand for domain-specific applications—from medical diagnostics to contract law automation. Analytics firm McKinsey Global Institute observed in its January 2025 report that enterprise AI adoption has now surpassed 70% globally, with customer support, product design, and supply chain optimization among the top beneficiaries.

Below is a snapshot of significant AI funding rounds from Q1 2025:

Company Amount Raised Key Investors
Mistral AI $640M General Catalyst, a16z
Anthropic $850M (over several rounds) Amazon, Google
Perplexity AI $62.7M (early year round) NEA, Bessemer Ventures

The rapid capital inflows are not confined to general-purpose LLM providers. AI infrastructure and GPU orchestration solutions—like Lambda Labs and Together AI—also raised major rounds. NVIDIA’s Q1 2025 earnings call emphasized the demand-side bottlenecks as enterprise interest in private LLM deployments continues to spike, a sentiment echoed across Deloitte’s Future of Work insights (2025).

Therapeutics and Biotech: A Resilient Boom

Beyond AI, biotechnology therapeutics continues to secure outsized investment, led primarily by companies offering promising clinical candidates for diseases with no available cures. SetPoint Medical raised $80 million to combat chronic inflammatory diseases via neuroimmune interface modulation—a space virtually untouched a decade ago. Other notable rounds include ReNAgade Therapeutics, focused on RNA delivery systems, closing a $300 million round led by SoftBank Vision Fund and Novo Holdings, as noted in the original Crunchbase article.

Equally remarkable is the upward trend in alternative biotech approaches, including cell and gene therapy, RNA splicing, and CRISPR-enhanced therapeutics. The uptake of AI tools in drug discovery is also accelerating development timelines and increasing success probability. DeepMind’s AlphaFold has already revolutionized protein modeling, and in 2025, its sibling AlphaDrug is experimenting with reinforcement learning to simulate drug-pathway interactions, according to DeepMind’s March blog update.

Company Focus Latest Funding
ReNAgade Therapeutics RNA delivery platform $300M
SetPoint Medical Bioelectronic medicine $80M
Disc Medicine Rare blood disorders $129M

The market validation here is profound. According to data from The Motley Fool, biotech IPOs are expected to rebound in H2 2025, with over 40 companies in the pre-roadshow stage. Analysts emphasize that FDA fast tracks and orphan disease designations are making these candidates extremely attractive for venture syndicates and late-stage capital.

Key Drivers of the Trend

AI and therapeutics are both capital-intensive industries—but for good reason. Their products are high-leverage, high-margin, and deeply integrated into multi-trillion-dollar sectors like healthcare, defense, logistics, and information systems. Several factors are fueling this dual-sector boom:

  • Technological Maturation: Transformer models and novel architectures (such as mixture-of-experts and retrieval-augmented generation) have matured, prompting commercial applications. Similarly, mRNA and CRISPR technologies in biotech have reached regulatory maturity, thus de-risking R&D-driven startups.
  • Cross-disciplinary Talent: AI scientists and molecular biologists are increasingly collaborating. Tools like AlphaFold, IBM Watson Discovery, and DeepMind’s lab projects illustrate the synergies enhancing preclinical research.
  • Capital Reallocation Post Rate Hikes: With U.S. inflation stabilizing below 3% and interest rate cuts materializing this spring, investors are diverting back to long-horizon opportunities, despite venture slowdown elsewhere (MarketWatch, April 2025).
  • Policy and AI Safety Regulations: On the AI side, the U.S., EU, and China are moving rapidly on governance, and the FTC’s 2025 enforcement guidelines are now favoring capitalized players with audit trails, further concentrating advantage in heavily funded firms.

Outlook and Implications for Investors

Looking forward, the confluence of capital, talent, and regulation hints at a further divergence between high-impact, high-cost industries and the broader market. The top firms in AI and therapeutics are moving into monopolistic or duopolistic zones in their respective niches, increasing their valuation premiums and defensibility.

The trend also reshapes venture strategies. Whereas pre-2022 ventures chased low-code, fast deployment SaaS, the post-2024 capital reality favors scientific depth, patents, and rare IP—assets not easily disrupted by minimal capital competition. According to a 2025 Gallup Workplace review, over 30% of STEM PhDs are now considering industry roles in AI or therapeutics, up from 19% three years ago, reinforcing the supply of deep talent required to sustain these businesses.

For institutional investors, this provides a barometer: AI and biotech ventures with definitive moats, stable regulatory risk, and skilled interdisciplinary teams are expected to outperform. The collapse of short-termist Web3 bets is fueling renewed interest in mission-driven innovation.

Conversely, the risk remains in infrastructure availability (especially GPUs), geopolitical tail risks to supply chain continuity, and ongoing ethical pushback from civil society. The coming quarters will likely see more public-private alliances aimed at data regulation, model robustness, and medical IP transparency—as emphasized in multiple reports by World Economic Forum (2025).

by Thirulingam S

Inspired by: https://news.crunchbase.com/venture/biggest-funding-rounds-therapeutics-ai-setpoint/

Citations (APA Style)

  • Crunchbase News. (2025). Largest funding rounds in AI and therapeutics. Retrieved from https://news.crunchbase.com/venture/biggest-funding-rounds-therapeutics-ai-setpoint/
  • OpenAI. (2025). Latest product and infrastructure updates [Blog]. Retrieved from https://openai.com/blog/
  • NVIDIA. (2025). Q1 2025 earnings: AI and GPU demand. Retrieved from https://blogs.nvidia.com/
  • DeepMind. (2025). Simulating drug discovery with reinforcement learning. Retrieved from https://www.deepmind.com/blog
  • McKinsey Global Institute. (2025). AI and productivity report. Retrieved from https://www.mckinsey.com/mgi
  • Deloitte Insights. (2025). Human-AI collaboration and the future of work. Retrieved from https://www2.deloitte.com/global/en/insights/topics/future-of-work.html
  • The Motley Fool. (2025). Biotech IPO resurgence outlook. Retrieved from https://www.fool.com/
  • MarketWatch. (2025). Venture investment strategy in a falling-rate environment. Retrieved from https://www.marketwatch.com/
  • FTC Press Releases. (2025). Enforcement guidelines in AI compliance. Retrieved from https://www.ftc.gov/news-events/news/press-releases
  • World Economic Forum. (2025). Ethics, safety, and future of biotech. Retrieved from https://www.weforum.org/focus/future-of-work

Note that some references may no longer be available at the time of your reading due to page moves or expirations of source articles.