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Opinion: Get out of the way, Ottawa, and let the 'one-person unicorns' run
Opinion: Get out of the way, Ottawa, and let the 'one-person unicorns' run

Yahoo

time3 days ago

  • Business
  • Yahoo

Opinion: Get out of the way, Ottawa, and let the 'one-person unicorns' run

Sam Altman's prediction that artificial intelligence will spawn 'one-person unicorns' — billion-dollar companies run by individual founders — sounds like Silicon Valley hype. Yet new data suggests Canada's policy-makers should take Altman's forecast seriously, not as a reason to tax and regulate, but as an opportunity to unleash our entrepreneurs' natural advantages. AI startups are shattering every conventional business metric: fastest to reach 100 million active users, fastest to hit US$1 billion in valuation, fastest to scale from zero to US$10 billion. Recent standouts like World Labs, Safe Superintelligence and Lovable have all sprinted to billion-dollar valuations with teams of fewer than 50 people. We may be experiencing the dawn of a capital efficiency era that should thrill our innovators. The United States is deploying what we call 'bully capital' in AI and corporate venture investing. According to KPMG, global venture capital (VC) funding hit US$368.3 billion in 2024. The U.S. captured $209 billion of this total, with just five startups accounting for $32.2 billion in Q4 alone. This isn't a rising tide lifting all boats. Asia-Pacific VC money fell to a nine-year low. Europe declined year-over-year. Meanwhile, Canada managed a modest 10 per cent rise to US$4.2 billion — but strip out Clio's $670-million outlier round and our sector actually dropped 16 per cent. The math is brutal: US$209 billion in the U.S. versus US$4.2 billion in Canada. The U.S. economy is roughly 13 times larger than Canada's, yet America raised 50 times more venture financing. Why the difference? In the U.S., corporate venture money accounted for more than half the 2024 total. In Canada, this category barely registers. Early-stage investment's new efficiency stems from AI's unique ability to automate what once required armies of workers. A single developer now deploys AI agents that handle customer service, curate content and optimize operations, all simultaneously. When algorithms replace head count, traditional constraints — hiring, training, managing — evaporate. Consider the entertainment parallel. U.S. YouTuber MrBeast generates US$82 million annually with a lean crew. These micro-multinationals are individuals using globally distributed digital platforms. Hollywood's talent-centric model is migrating to technology, powered by AI's multiplicative productivity gains. The implications for Canadian competitiveness are profound. Our universities produce world‑class AI research: by Stanford's 2024 AI Index, Canada ranks among the top countries for AI publications and the share of highly cited papers, with Toronto and Montreal recognized as global hubs. This intellectual edge has been built over decades with broad, light‑touch supports from federal granting agencies and SR&ED (the 'scientific research and experimental development' tax credit). Our point is to avoid layering new, program‑heavy projects on top of what already works: solo AI founders need speed and simple rules, not procedure. The conventional government response to these new AI possibilities will be to want to 'support' the transition through subsidies, bureaucratic 'incubators' and programs, likely byzantine programs. This approach fundamentally misunderstands the AI revolution. One-person unicorns succeed precisely because they avoid institutional friction. They need speed, not committees or special commissions. Resources, not consultants. Clear rules — preferably no rules — not regulatory complexity. Ottawa's optimal strategy is simplicity itself: maintain R&D tax credits, ensure stable intellectual property protection, and resist micromanagement. When human genius replaces money or infrastructure as the scarcest resource, success flows from entrepreneurial freedom. The venture industry is adapting rapidly. Specialized funds now offer agency-style investments, advancing resources to promising individuals before they form teams. Day One Ventures backs solo founders from day one. Latent Ventures launched a 'Solopreneur Fund.' These investors understand that backing exceptional individuals often beats funding legacy corporate structures. Smart money tracks data signals that predict individual success: GitHub code velocity, open-source follower counts, real-time user engagement. These indicators let private investors validate solo-founder traction far faster than government-backed financing. For Canadian business builders, the message is clear: master lean operations, use AI for automation, build personal brands that accelerate customer acquisition. The future belongs to those who command massive resources with minimal dilution. The economic math is compelling. If AI startups already achieve extraordinary efficiency, reaching US$1 billion with single-digit staff is actually plausible. Factor in rapidly rising AI power and investor appetite for 'lean' plays and Altman's prediction seems more and more reasonable. Canada faces a stark choice. We can embrace this epochal change by creating the world's most founder-friendly environment for AI expertise. Or we can watch our brightest minds migrate to jurisdictions that understand the new rules. Opinion: We need serious cuts to Ottawa's bloated bureaucracy William Watson: AI predicts Trump tariffs will raise U.S. prices The one-person unicorn era rewards countries that trust markets over mandates, individuals over institutions, innovation over intervention. Canada's competitive advantage lies, not in government programs, but in entrepreneurial excellence unleashed. The future of prosperity belongs to nations that recognize genius and grit as their rarest minerals and give that brilliance maximum freedom to innovate. For Canada, the path forward is clear: step aside and let our AI pioneers get on with changing the world. Ray Sharma, a tech entrepreneur, is co-founder, with publisher, entrepreneur and professor Neil Seeman, of EPS, an educational program to support first-time company founders. Sign in to access your portfolio

OpenAI's former CTO Mira Murati's startup Thinking Machines raises $2 billion led by a16z
OpenAI's former CTO Mira Murati's startup Thinking Machines raises $2 billion led by a16z

Time of India

time16-07-2025

  • Business
  • Time of India

OpenAI's former CTO Mira Murati's startup Thinking Machines raises $2 billion led by a16z

Thinking Machines Lab , the artificial intelligence startup founded by former OpenAI executive Mira Murati, said on Tuesday it has raised about $2 billion at a valuation of $12 billion in a funding round led by venture capital firm Andreessen Horowitz. The fundraise also saw participation from AI chip giant Nvidia, Accel , ServiceNow, Cisco, AMD and Jane Street, the startup said. The massive funding round for a company launched only in February, with no revenue or products yet, underscores Murati's ability to attract investors in a sector where top executives have become coveted targets in an escalating talent war. "We're excited that in the next couple months we will be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom model," CEO Murati said in a post on the X social media platform. Reuters had reported in April Andreessen Horowitz was in talks to lead an outsized early-stage funding round. Thinking Machines has said it wants to build artificial intelligence systems that are safer, more reliable and aimed at a broader number of applications than rivals. Nearly two-thirds of its team at launch comprised of former OpenAI employees. Murati, who started Thinking Machines after an abrupt exit from OpenAI last September, is among a growing list of former executives from the ChatGPT maker who have launched AI startups. Another two, Dario Amodei's Anthropic and Ilya Sutskever's Safe Superintelligence, have attracted former OpenAI researchers and raised billions of dollars in funding. Investor enthusiasm toward new AI startups has stayed strong, despite some questions about tech industry spending. That helped U.S. startup funding surge nearly 76% to $162.8 billion in the first half of 2025, with AI accounting for about 64.1% of the total deal value, according to a Pitchbook report.

Mira Murati's AI startup Thinking Machines valued at $12 billion in early-stage funding
Mira Murati's AI startup Thinking Machines valued at $12 billion in early-stage funding

Indian Express

time16-07-2025

  • Business
  • Indian Express

Mira Murati's AI startup Thinking Machines valued at $12 billion in early-stage funding

Thinking Machines Lab, the artificial intelligence startup founded by former OpenAI executive Mira Murati, said on Tuesday it has raised about $2 billion at a valuation of $12 billion in a funding round led by venture capital firm Andreessen Horowitz. The fundraise also saw participation from AI chip giant Nvidia, Accel, ServiceNow, Cisco, AMD and Jane Street, the startup said. The massive funding round for a company launched only in February, with no revenue or products yet, underscores Murati's ability to attract investors in a sector where top executives have become coveted targets in an escalating talent war. 'We're excited that in the next couple months we will be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom model,' CEO Murati said in a post on the X social media platform. Reuters had reported in April Andreessen Horowitz was in talks to lead an outsized early-stage funding round. Thinking Machines has said it wants to build artificial intelligence systems that are safer, more reliable and aimed at a broader number of applications than rivals. Nearly two-thirds of its team at launch comprised of former OpenAI employees. Murati, who started Thinking Machines after an abrupt exit from OpenAI last September, is among a growing list of former executives from the ChatGPT maker who have launched AI startups. Another two, Dario Amodei's Anthropic and Ilya Sutskever's Safe Superintelligence, have attracted former OpenAI researchers and raised billions of dollars in funding. Investor enthusiasm toward new AI startups has stayed strong, despite some questions about tech industry spending. That helped U.S. startup funding surge nearly 76% to $162.8 billion in the first half of 2025, with AI accounting for about 64.1% of the total deal value, according to a Pitchbook report.

Mira Murati's AI startup Thinking Machines valued at $12 billion in early-stage funding
Mira Murati's AI startup Thinking Machines valued at $12 billion in early-stage funding

The Hindu

time16-07-2025

  • Business
  • The Hindu

Mira Murati's AI startup Thinking Machines valued at $12 billion in early-stage funding

Thinking Machines Lab, the artificial intelligence startup founded by former OpenAI executive Mira Murati, said on Tuesday it has raised about $2 billion at a valuation of $12 billion in a funding round led by venture capital firm Andreessen Horowitz. The fundraise also saw participation from AI chip giant Nvidia, Accel, ServiceNow, Cisco, AMD and Jane Street, the startup said. The massive funding round for a company launched only in February, with no revenue or products yet, underscores Murati's ability to attract investors in a sector where top executives have become coveted targets in an escalating talent war. "We're excited that in the next couple months we will be able to share our first product, which will include a significant open source component and be useful for researchers and startups developing custom model," CEO Murati said in a post on the X social media platform. Reuters had reported in April Andreessen Horowitz was in talks to lead an outsized early-stage funding round. Thinking Machines has said it wants to build artificial intelligence systems that are safer, more reliable and aimed at a broader number of applications than rivals. Nearly two-thirds of its team at launch comprised of former OpenAI employees. Murati, who started Thinking Machines after an abrupt exit from OpenAI last September, is among a growing list of former executives from the ChatGPT maker who have launched AI startups. Another two, Dario Amodei's Anthropic and Ilya Sutskever's Safe Superintelligence, have attracted former OpenAI researchers and raised billions of dollars in funding. Investor enthusiasm toward new AI startups has stayed strong, despite some questions about tech industry spending. That helped U.S. startup funding surge nearly 76% to $162.8 billion in the first half of 2025, with AI accounting for about 64.1% of the total deal value, according to a Pitchbook report.

Mira Murati's AI startup Thinking Machines raises $2 billion in a16z-led round
Mira Murati's AI startup Thinking Machines raises $2 billion in a16z-led round

Yahoo

time15-07-2025

  • Business
  • Yahoo

Mira Murati's AI startup Thinking Machines raises $2 billion in a16z-led round

(Reuters) -Thinking Machines Lab, the artificial intelligence startup founded by former OpenAI executive Mira Murati, said on Tuesday that it has raised $2 billion in funding. Venture capital firm Andreessen Horowitz led the round that also saw participation from AI chip giant Nvidia, Accel, ServiceNow, Cisco, AMD and Jane Street, the startup said. The massive funding round for a company launched only in February, with no revenue or products yet, underscores Murati's ability to attract investors in a sector where top executives have become coveted targets in an escalating talent war. Thinking Machines has said it wants to build artificial intelligence systems that are safer, more reliable and aimed at a broader number of applications than rivals. Nearly two-thirds of its team at launch comprised of former OpenAI employees. Murati, who started Thinking Machines after an abrupt exit from OpenAI last September, is among a growing list of former executives from the ChatGPT maker who have launched AI startups. Another two, Dario Amodei's Anthropic and Ilya Sutskever's Safe Superintelligence, have both attracted former OpenAI researchers and raised billions of dollars in funding. Investor enthusiasm toward new AI startups has stayed strong, despite some questions about tech industry spending. That helped U.S. startup funding surge nearly 76% to $162.8 billion in the first half of 2025, with AI accounting for about 64.1% of the total deal value, according to a Pitchbook report.

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