Introduction: Venture Capital Has Entered a More Demanding Era
The venture capital market always feels permanent when you are living inside it.
During a boom, founders believe capital will always be available.
During a downturn, founders believe capital has disappeared forever.
During an AI surge, investors believe every important company must have an AI story.
During an IPO drought, everyone worries that liquidity may never return.
But venture capital is cyclical.
The shape changes.
The fundamentals remain.
That is the most important lesson from McKinsey’s “Global VC view: Funding start-ups in the next normal.” The article was published in 2021, when the pandemic had accelerated digital adoption, remote work, cloud usage, e-commerce, digital health, fintech, online collaboration, software infrastructure, and startup investment. Investors were asking whether the boom was sustainable, whether remote investing would last, whether valuations were justified, and whether founders were making good decisions in a market full of capital.
Those questions are still relevant.
The context has changed, but the questions have not disappeared.
In 2026, venture capital is again living through a strange contradiction. On the surface, funding appears extraordinary. AI megadeals have pushed global venture totals to record levels. Frontier labs, AI infrastructure companies, robotics startups, defense technology companies, semiconductor companies, data center platforms, and autonomous systems are absorbing massive capital. The United States remains the center of gravity.
But underneath the headlines, many founders still face a selective market. Seed rounds are not automatic. Series A investors want stronger proof. Growth-stage funding is concentrated. LPs want liquidity. Secondaries are becoming more important. IPO activity is uneven. Canada still faces scale-up capital constraints. Non-AI companies must prove more. Weak companies are not being saved by easy money.
This is the next normal of venture capital:
Capital exists, but it is not equally available.
Investors are active, but more selective.
AI is booming, but not every company benefits.
Remote work expanded geography, but ecosystems still matter.
Founders can build faster, but differentiation is harder.
Valuations can rise quickly, but liquidity remains a constraint.
The best companies can raise huge rounds, while ordinary companies may struggle.
For founders, the lesson is not to become pessimistic.
The lesson is to become precise.
Precision is now a founder advantage.
Precision about the customer.
Precision about the market.
Precision about the capital needed.
Precision about the milestone.
Precision about hiring.
Precision about valuation.
Precision about investor fit.
Precision about what the company must prove before the next round.
The next normal does not punish ambition.
It punishes sloppy ambition.
1. The Pandemic Pulled the Future Forward, but the Pull Did Not Stop There
The McKinsey conversation began with a simple observation: COVID accelerated the digital future.
Companies that might have taken years to adopt digital tools were forced to move faster. Consumers shifted more activity online. Enterprises bought cloud software more urgently. Remote collaboration became normal. Digital health gained momentum. Fintech adoption expanded. E-commerce grew. Workflows moved into software.
Many startups benefited because they were built for a world that suddenly arrived early.
But the deeper lesson is not only about COVID.
The deeper lesson is that venture capital rewards founders who understand timing.
Great startups often emerge when a shift in the world creates a new opening.
That shift can be technological.
Cloud computing.
Smartphones.
AI.
Open-source software.
APIs.
Blockchain.
Robotics.
Semiconductors.
Biotechnology.
That shift can be behavioral.
Remote work.
Online shopping.
Digital payments.
Telehealth.
Creator economies.
AI-assisted productivity.
That shift can be regulatory.
Open banking.
Climate disclosure.
Defense procurement.
Healthcare reimbursement.
Data privacy.
Energy incentives.
That shift can be economic.
Interest rates.
Inflation.
Labor shortages.
Supply-chain instability.
Capital scarcity.
That shift can be geopolitical.
Defense spending.
Reshoring.
Energy security.
Cybersecurity.
Critical minerals.
National AI strategy.
The best founders do not simply ask, “Is this a good idea?”
They ask, “Why now?”
Why is the market ready now?
Why is the customer behavior changing now?
Why can this product be built now?
Why will incumbents be slower now?
Why will capital care now?
Why will this company matter now?
The pandemic was one example of timing. AI is another. Defense tech is another. Climate adaptation is another. Aging populations are another. Healthcare workflow pressure is another. Industrial automation is another.
Founders who understand timing raise better because they can explain why the opportunity is not just large, but urgent.
A large market without urgency is slow.
A large market with urgency becomes fundable.
2. Remote Work Expanded Startup Geography, but It Did Not Make Ecosystems Irrelevant
One of the most important themes in the McKinsey article is geography.
The pandemic made remote work normal. Investors began taking meetings over Zoom. Startups hired distributed teams. Companies could build outside traditional hubs. Talent no longer had to sit in one office. Founders outside Silicon Valley, New York, Boston, Toronto, Waterloo, Montreal, Vancouver, or other hubs gained more access to investors and talent than before.
This was real.
Remote work changed startup formation.
But it did not make ecosystems irrelevant.
A founder can now build from more places, but the founder still needs access to the invisible infrastructure of startups.
That includes:
Technical talent.
Experienced operators.
Startup lawyers.
Finance leaders.
Angel investors.
Venture investors.
Early customers.
Founder peers.
Mentors.
Design partners.
Corporate buyers.
Public-sector procurement.
University research.
Cloud credits.
AI compute.
Recruiting networks.
Media visibility.
Follow-on investors.
The McKinsey article correctly notes that startup hubs provide second-order effects. A mature ecosystem is not only a place with engineers. It is a place with people who understand the unusual needs of startups. The lawyers understand venture rounds. The CFOs understand burn and runway. The recruiters understand equity compensation. The operators understand scale. The investors understand risk. The customers are used to buying early products. The founders learn from each other.
Remote work allows founders to access more of this infrastructure from a distance, but it does not automatically provide all of it.
This matters for founders outside major hubs.
If you are building from a smaller city, rural region, or emerging startup ecosystem, you have more opportunity than founders had 15 years ago. You can hire remotely. You can pitch remotely. You can sell remotely. You can learn remotely. You can use AI to close execution gaps.
But you must be intentional about ecosystem access.
You may need to travel strategically.
You may need to build investor relationships online.
You may need to join founder communities.
You may need advisors in major markets.
You may need customers in the USA even if you are based in Canada.
You may need cross-border legal and tax advice.
You may need to create your own network before the local ecosystem is mature.
Remote work lowered barriers.
It did not eliminate the need for support systems.
3. Venture Diligence Became Faster, but Also More Structured
The McKinsey conversation also explored how venture diligence changed in the Zoom age.
When investors could not meet founders in person, they had to replace some of that judgment with more structured work: category landscapes, customer references, personal references, deeper market mapping, and faster remote processes.
This is still relevant.
In a remote and AI-accelerated world, investors can move faster than ever. A founder can pitch dozens of funds without flying. Investors can review decks quickly. Data rooms can be shared instantly. Customers can be referenced by video. Market maps can be built faster. AI can help summarize categories, competitors, product demos, and financial models.
But speed can create danger.
Fast diligence can amplify hype.
Fast diligence can overvalue social proof.
Fast diligence can underweight culture.
Fast diligence can miss weak customer adoption.
Fast diligence can miss founder conflict.
Fast diligence can produce herd behavior.
The best investors respond by becoming more structured.
They build a thesis before meeting companies.
They map sectors.
They talk to customers.
They reference founders.
They understand the buyer.
They compare products.
They check whether demand is real.
They look at usage, retention, and revenue quality.
Founders should prepare for this.
Do not assume a great pitch will carry weak substance.
A founder raising in the next normal should have:
A clear narrative.
A clean data room.
Customer references.
Market map.
Competitive analysis.
Financial model.
Cap table.
Product metrics.
Security materials if enterprise.
Pipeline detail.
Use of funds.
Milestone plan.
Hiring plan.
Evidence of customer demand.
Fundraising is no longer only storytelling.
It is evidence delivery.
4. The Fundamentals Still Matter
One of the strongest parts of the McKinsey article is that despite all the changes in the market, the fundamentals remained the same.
The investors in the conversation simplified what they look for:
A strong team.
A large enough market.
A differentiated product.
Those ideas sound basic because they are basic.
But basic does not mean easy.
A strong team does not only mean smart founders. It means founders who can recruit, sell, learn, decide, adapt, and survive hard moments.
A large market does not only mean a big number in a deck. It means a market with real buyers, budget, urgency, and room to build a large company.
A differentiated product does not only mean a product that is technically clever. It means something that stands out in the market, creates customer pull, and can defend itself over time.
These fundamentals matter even more in 2026 because AI makes superficial building easier.
A founder can create a polished demo quickly.
A founder can generate a beautiful deck quickly.
A founder can produce content quickly.
A founder can build lightweight applications quickly.
That raises the bar for what matters.
Investors no longer ask only, “Can this be built?”
They ask:
Can this endure?
Can this become a company?
Can this win customers?
Can this survive competition?
Can this defend margins?
Can this grow into the valuation?
Can this attract talent?
Can this raise the next round?
Can this eventually create liquidity?
The fundamentals are not old-fashioned.
They are the filter that separates real startups from temporary momentum.
5. Too Much Capital Can Create False Positives
The McKinsey conversation warned that abundant capital can create false positives.
That warning is even more important now.
A false positive happens when a startup appears stronger than it really is because the market environment is unusually favorable.
In 2020 and 2021, digital adoption and cheap capital made many companies look stronger than their underlying businesses. Some companies saw temporary demand spikes. Some raised at inflated valuations. Some hired too quickly. Some mistook pandemic behavior for permanent behavior. Some treated investor appetite as customer demand.
In 2026, AI creates a new type of false positive.
A startup can get attention because it has an impressive AI demo.
A startup can raise because investors fear missing the AI wave.
A startup can grow usage because people are curious.
A startup can generate buzz because the category is hot.
But none of that automatically proves durability.
Founders should ask:
Will customers still use this after the novelty fades?
Will they pay?
Will they renew?
Will they expand?
Can incumbents copy this?
Can model providers copy this?
Can competitors with better distribution copy this?
Do we own data?
Do we own workflow?
Do we own customer trust?
Do we have a margin structure that works?
Can the company survive if AI valuations correct?
A hot market can help a company get started.
It cannot replace business quality.
The same applies to non-AI markets.
A climate startup may benefit from policy tailwinds, but still needs deployment.
A defense startup may benefit from geopolitical urgency, but still needs procurement.
A fintech startup may benefit from regulatory shifts, but still needs trust.
A healthcare startup may benefit from AI excitement, but still needs clinical and financial outcomes.
False positives are dangerous because they encourage overconfidence.
Founders must ask whether traction is real, repeatable, and durable.
6. Valuation Is Not the Company
The McKinsey article raised the issue of soaring valuations.
That question has become even more important.
Founders often treat valuation as a scoreboard.
A higher valuation feels like a bigger win.
It creates headlines.
It boosts confidence.
It can help recruiting.
It can signal investor belief.
It can reduce dilution in the current round.
But valuation is not free.
A valuation is a promise.
It sets expectations for the next round. It shapes employee options. It affects investor pressure. It can make future financing easier or harder. It can determine whether a company grows into its story or becomes trapped by it.
A high valuation is useful only if the company can grow into it.
If a startup raises at a valuation far ahead of its evidence, the next round becomes dangerous. Future investors may not accept the old price. The company may face a flat round, down round, insider bridge, structured round, or painful dilution. Employees may see options underwater. Existing investors may become defensive. Recruiting may suffer.
The goal is not the highest possible valuation.
The goal is the best financing structure for the company’s long-term path.
A founder should ask:
Can we grow into this valuation before the next round?
What milestones justify the price?
What will the Series A, B, or C investor need to believe?
How much dilution are we accepting?
How much runway do we get?
Does this investor help us beyond capital?
Will the terms create problems later?
Are there liquidation preferences, control rights, or structure that matter?
Could a slightly lower valuation with a better investor be smarter?
The market remembers companies that raised too high and could not grow into the price.
Do not make valuation your identity.
Make value creation your identity.
7. Fundraising Should Be Built Around Inflection Points
One of the most practical lessons from the McKinsey article is that founders need to know what they can achieve with the money they are raising.
This is one of the most common founder weaknesses.
A founder says:
“We are raising $3 million for 18 months of runway.”
That is not enough.
Runway is not a milestone.
Time is not progress.
The better statement is:
“We are raising $3 million to reach $1 million in ARR, prove repeatable sales in healthcare practices, complete SOC 2, hire two enterprise sellers, and enter the next round with 120% net revenue retention.”
Or:
“We are raising $1.5 million to convert three paid pilots into annual contracts, reduce onboarding time from 60 days to 20 days, and prove that our AI workflow saves customers at least 30% of administrative time.”
Or:
“We are raising $8 million to complete the commercial pilot, secure regulatory certification, sign two strategic customers, and prepare the company for project financing.”
The capital must take the company to a different state.
That is the idea of an inflection point.
An inflection point is the moment when the company becomes more financeable, more valuable, more credible, or more scalable because a major uncertainty has been reduced.
For pre-seed, the inflection point might be problem validation, prototype, design partners, early usage, or technical proof.
For seed, it might be paid pilots, product launch, retention, early revenue, or proof of buyer urgency.
For Series A, it might be repeatable sales, clear ICP, strong retention, revenue quality, and a credible growth engine.
For Series B, it might be go-to-market scalability, management depth, expansion revenue, and strong unit economics.
For growth stage, it might be category leadership, efficient scaling, international expansion, profitability path, and exit optionality.
A founder should never raise without knowing the inflection point.
Investors are not only funding survival.
They are funding evidence.
8. Fundraising Is Recruiting a Business Partner
The McKinsey article makes a point many founders forget: fundraising is a recruiting exercise.
You are not only getting money.
You are choosing a business partner.
This matters because venture investors can be with the company for years. They may sit on the board. They may influence strategy. They may help hire executives. They may support or block future rounds. They may help in crisis. They may affect founder psychology. They may introduce customers, acquirers, and later-stage investors.
The wrong investor can damage the company.
The right investor can help founders see around corners.
Founders should not choose only by valuation.
They should ask:
Does this investor understand our market?
Can they help with customers?
Can they help with hiring?
Do they have reserves?
Can they support the next round?
Do they understand our capital needs?
How do they behave when companies miss plan?
How do they handle founder conflict?
Do other founders trust them?
Can I call them when something goes wrong?
Will they push for growth at the wrong time?
Will they panic in a downturn?
Will they help us raise follow-on capital?
Do they understand USA and Canada cross-border issues if relevant?
A founder should reference-check investors the same way investors reference-check founders.
Ask founders in their portfolio:
What are they like when things are going badly?
Do they add value?
Do they create pressure without help?
Do they support the founder emotionally?
Do they help with hard decisions?
Do they respect the company?
Money is easy to admire when it arrives.
Investor behavior matters when reality gets hard.
9. The New AI-Led Venture Market Is Not a Normal Boom
The 2026 venture market is not a normal boom.
It is an AI-concentrated boom.
Global funding totals are being pushed upward by enormous AI rounds. Frontier labs, AI compute, chips, data centers, robotics, autonomous systems, defense AI, and enterprise AI infrastructure are absorbing massive capital.
This matters because aggregate numbers can mislead founders.
A founder might see record global VC investment and assume the market is easy. Then they start fundraising and discover that investors are cautious, slow, or focused almost entirely on AI.
That does not mean investors are lying.
It means the market is bifurcated.
For a small number of AI leaders, capital is abundant.
For strong AI infrastructure and vertical AI companies, capital is available but competitive.
For non-AI companies, capital is available but standards are higher.
For weak companies, capital is scarce.
This is the next normal of venture: strong headline funding, selective real funding.
Founders should not ask, “Is the VC market hot?”
They should ask:
Is my category hot?
Is my stage hot?
Is my geography hot?
Is my business model hot?
Is my traction strong enough?
Do investors understand this market?
Do we have AI relevance, and is it real?
Are we competing against capital concentration?
What evidence does this funding market require?
A global funding boom does not guarantee your round.
Your round depends on your company’s position inside the market.
10. The USA: Dominant, Deep, and More Competitive Than Ever
The United States remains the most important venture market in the world.
It has the deepest capital base, strongest AI ecosystem, major cloud platforms, frontier AI labs, large enterprise buyers, world-class universities, public markets, experienced founders, Big Tech acquirers, and specialized funds across almost every category.
For founders, the USA offers massive advantages.
You can build for a large domestic market.
You can access deep seed and growth capital.
You can recruit experienced operators.
You can sell into large enterprises.
You can eventually pursue IPO, M&A, secondary liquidity, or private equity outcomes.
You can find specialized investors for AI, biotech, climate, fintech, defense, robotics, cyber, healthcare, enterprise software, and consumer technology.
But the USA is also brutally competitive.
Everyone wants to raise there.
Investors see endless deals.
Customers see endless vendors.
Talent is expensive.
AI categories get crowded quickly.
Incumbents move faster than before.
Big Tech can copy features.
Public market expectations shape private valuations.
This means USA founders must be sharper.
A vague startup can disappear quickly.
A shallow AI wrapper may get initial attention but not lasting funding.
A non-AI startup must explain why the problem is urgent despite investor attention being pulled toward AI.
A capital-intensive startup must prove why the market and milestone justify the burn.
The USA gives founders more capital access, but also less room for weakness.
The market rewards clarity.
11. Canada: Strong Formation, Weak Growth Capital, and the Need for Cross-Border Strategy
Canada has a strong startup foundation.
It has excellent technical talent, world-class AI research, strong universities, public programs, cleantech expertise, software hubs, and meaningful ecosystems in Toronto, Waterloo, Montreal, Vancouver, Ottawa, Calgary, Edmonton, Halifax, and other cities.
But Canada’s challenge remains scale.
Many Canadian startups can get started, but growth-stage capital remains constrained. Later-stage rounds often require U.S. or international investors. Large domestic anchor customers can be harder to secure. Exit markets are more limited. Scaling often requires access to the USA.
This creates a specific founder reality.
Canadian founders should think North American from the beginning.
That does not mean abandoning Canada.
It means understanding the role Canada plays in the company’s strategy.
Canada can be excellent for talent, research, early product, grants, pilots, and capital-efficient company building.
The USA may be necessary for larger customers, larger rounds, deeper sector investors, and later-stage scale.
A Canadian founder should ask:
Which proof can we build in Canada?
Which customers must come from the USA?
Which investors should know us before we raise?
Do we need U.S. sales leadership?
Do we need cross-border legal structure?
Can Canadian public programs help without distracting us?
Which Canadian investors can lead or support early?
Which U.S. investors can lead the next round?
How do we keep value in Canada while scaling globally?
Canada’s opportunity is not only to create startups.
It is to finance and support enough of them to become global companies.
12. The New Startup Scaling Problem: Technology Moves Faster Than the Business
The McKinsey article used a useful idea: technology can scale quickly, but the rest of the company must catch up.
This is one of the most important startup lessons.
Cloud, APIs, AI tools, no-code, open-source infrastructure, and developer platforms allow technical teams to ship faster than ever.
But the business may not scale at the same speed.
Sales may lag.
Marketing may lag.
Customer success may lag.
Hiring may lag.
Leadership may lag.
Culture may lag.
Security may lag.
Finance may lag.
Legal may lag.
Implementation may lag.
Procurement may lag.
A startup can build a product that is technically impressive but operationally immature.
That creates scaling pain.
Customers may love the product but struggle with onboarding.
Sales may close deals the product team cannot support.
Engineering may ship features faster than customer success can train users.
AI may automate workflows before the company has trust, compliance, or auditability.
A fast-growing company may hire managers too late.
A remote team may lose trust because culture is not intentional.
The founder’s job changes as the company scales.
At the beginning, the founder builds.
Later, the founder designs the company that builds.
That means creating systems, leadership, communication, accountability, hiring standards, customer success, sales process, product discipline, and financial control.
A company does not scale because the product can scale.
It scales because the organization can scale.
13. Talent Is Still the Bottleneck, but AI Changes the Shape of the Bottleneck
The McKinsey article discussed talent and the rise of tools that make building easier.
That trend has only intensified.
AI now allows smaller teams to do more. A founder can use AI for coding, content, research, customer support, analysis, operations, recruiting, sales prep, and financial modeling. This changes hiring.
Startups no longer need to hire for every task immediately.
They can automate or augment more work.
But this does not mean talent matters less.
It means elite talent matters more.
A great engineer with AI can outperform a mediocre team.
A great salesperson with AI can personalize at scale.
A great product leader with AI can test faster.
A great operator with AI can manage complexity.
A great founder with AI can learn faster.
The next normal is not “AI replaces people.”
It is “AI raises the output gap between great people and average people.”
Founders should hire differently.
Do not hire to look bigger.
Hire to remove constraints.
Do not hire people who only know old workflows.
Hire people who can use AI to multiply judgment and output.
Do not build a large team before knowing what works.
Build a small, sharp team and expand around proven bottlenecks.
Talent strategy is now capital strategy.
Every hire affects runway.
Every hire must connect to the next milestone.
14. Founders Must Understand Public Markets, Even Before They Are Public
The McKinsey discussion connected private valuations to public market multiples.
This remains crucial.
Private startup valuations do not exist in isolation. They are influenced by public market sentiment, interest rates, software multiples, AI enthusiasm, IPO appetite, M&A activity, and LP liquidity.
A founder raising seed may feel far away from public markets.
But public markets still affect them.
If software multiples compress, growth investors become cautious.
If IPOs slow, late-stage investors become cautious.
If LPs receive fewer distributions, VC fundraising slows.
If VC fundraising slows, new checks become more selective.
If AI public comps rise, AI private valuations rise.
If public investors demand profitability, private investors ask harder questions about burn.
This is why founders need financial awareness.
You do not need to become a public market analyst, but you should understand the funding climate.
Ask:
Are IPO windows open?
Are M&A exits active?
Are software multiples expanding or compressing?
Are growth investors active?
Are LPs committing to new funds?
Are secondaries becoming more common?
Are investors rewarding revenue or efficiency?
Are AI valuations distorting the market?
Is my category in favor or out of favor?
A founder who understands the capital market can choose timing, valuation, and runway more intelligently.
15. Liquidity Is the Hidden Constraint Behind Venture Capital
The 2026 venture market is shaped by liquidity pressure.
Many venture funds hold valuable private-company stakes, but exits have been slower than LPs would like. Companies stay private longer. IPO windows are uneven. M&A has improved in some areas but remains selective. Secondaries are growing, but liquidity is still concentrated in the best-known private companies.
This affects founders indirectly.
If LPs are not receiving distributions, they may commit less to new funds.
If funds raise less, they may write fewer new checks.
If funds reserve more for existing portfolio companies, new founders face more competition.
If late-stage liquidity is unclear, early-stage investors worry about follow-on risk.
If public markets are selective, growth investors demand stronger fundamentals.
The founder sees this as fundraising difficulty.
But underneath is capital recycling.
Venture capital is not only about money going into startups.
It is also about money coming out.
When exits slow, the entire system tightens.
This is why founders should care about exit pathways earlier than they think.
You do not need to know the final exit on day one, but you should understand plausible liquidity routes.
IPO.
M&A.
Private equity acquisition.
Strategic acquisition.
Secondary tender.
Continuation vehicle.
Profitability and long-term independence.
Different companies have different paths.
A founder building a venture-backed company should be able to explain why the company can eventually become liquid enough to justify venture risk.
16. The Next Normal Founder Playbook
The founder playbook for this market is different from the easy-money era.
Build around a real inflection
Every round should prove something that changes the company’s value.
Keep burn connected to learning
Burn should buy evidence, not appearance.
Do not confuse funding with product-market fit
Investors are not customers. Customers are customers.
Use AI for leverage
Automate low-value work, but do not pretend AI alone creates defensibility.
Protect optionality
Keep enough runway to survive fundraising delays. Avoid valuations and terms that trap the company.
Build investor relationships early
The best rounds often happen after investors have watched progress.
Choose investors carefully
Fundraising is recruiting a partner, not collecting logos.
Know your next-round investor
Seed founders should know what Series A investors will require. Series A founders should know what Series B investors will require.
Design for customer proof
Revenue, retention, renewals, usage, expansion, and references matter more than hype.
Build culture intentionally
Remote and hybrid teams need trust by design, not by accident.
Know when not to raise VC
Some companies should bootstrap, use grants, debt, customer financing, or slower profitable growth.
Be honest about your category
AI company, AI-enabled company, software company, hardware company, infrastructure company, climate company, biotech company, marketplace company, services-enabled company. Each has different capital needs.
The founders who win will not copy the last cycle.
They will build for the current one.
17. The Mistakes Founders Make in the Next Normal
Here are the mistakes that will hurt founders most in this environment.
Raising without a milestone
If you cannot explain what the round proves, you are not ready.
Taking the highest valuation without thinking ahead
A valuation that feels good today can create pain tomorrow.
Hiring too fast after fundraising
Hiring should follow constraints, not ego.
Mistaking investor interest for commitment
A meeting is not a term sheet. A compliment is not a check.
Building an AI feature instead of a defensible company
AI wrappers are easy to copy. Workflow ownership is harder to replace.
Ignoring customer success
Growth without retention is fragile.
Depending on one funding path
The next round may take longer than expected. Build options.
Avoiding hard decisions
The company will not scale if the founder avoids conflict, focus, or accountability.
Choosing investors without reference checks
Bad investors can damage the company for years.
Confusing remote flexibility with culture
Remote teams require intentional trust, communication, and operating discipline.
These mistakes are avoidable.
But only if founders are honest early.
18. What Investors Must Do Differently
The next normal also changes the investor role.
Investors cannot only write checks.
They must help founders build companies that survive real markets.
Good investors should provide:
Customer access.
Hiring support.
Follow-on financing strategy.
Sector expertise.
Pricing advice.
Fundraising discipline.
Governance.
Crisis support.
Liquidity thinking.
Capital strategy.
Market pattern recognition.
AI and infrastructure insight where relevant.
Investors must also avoid the mistakes of the last cycle.
Do not push companies into overhiring.
Do not reward vanity metrics.
Do not fund weak AI narratives.
Do not confuse a hot category with a strong company.
Do not pressure founders into valuations they cannot grow into.
Do not disappear when the company struggles.
Do not pretend every business should be venture-backed.
The best investors will be active partners with disciplined judgment.
The next normal rewards conviction, not spray-and-pray.
19. What LPs Should Understand
Limited partners shape the venture market.
If LPs are cautious, venture funds raise less. If funds raise less, startups feel it. If LPs demand liquidity, VCs become more careful about exits and distributions. If LPs concentrate capital in established firms, emerging managers struggle.
This matters for founders because the LP environment affects their fundraising environment.
LPs should understand that venture capital remains important, but the market has changed.
They should ask:
Which managers have real access to AI and strategic technology?
Which managers understand non-AI opportunities with strong fundamentals?
Which managers can return capital, not only mark up portfolios?
Which managers communicate clearly about liquidity?
Which managers support founders through difficult cycles?
Which managers see underestimated founders and markets?
Which managers have disciplined valuation practices?
Which managers understand USA and Canada cross-border dynamics?
The next normal is not only a founder reset.
It is an LP reset.
20. What Ecosystems Should Build
Startup ecosystems should stop measuring success only by company formation and funding announcements.
They should measure whether startups can scale.
That requires:
Customers.
Talent.
Growth capital.
Founder support.
Operator networks.
University commercialization.
Procurement pathways.
Startup-friendly regulation.
Angel investor education.
AI infrastructure.
Cloud and compute access.
Cross-border support.
Mental health support.
Investor accountability.
Exit pathways.
For the USA, the challenge is broadening access beyond dominant hubs while maintaining the country’s deep innovation advantage.
For Canada, the challenge is converting strong formation into stronger scale-up outcomes, especially in AI, cleantech, software, health, energy, defense, and industrial technology.
The next normal belongs to ecosystems that create full-stack support.
Not just accelerators.
Not just pitch events.
Not just early checks.
Full-stack support from first idea to global scale.
21. Conclusion: The Next Normal Is Not Easier. It Is More Honest.
The McKinsey article was written in a moment when the pandemic had accelerated digital adoption and forced venture capital to rethink how startups were funded, built, evaluated, and scaled.
Years later, the same themes remain, but the market has evolved.
Remote work expanded opportunity, but ecosystems still matter.
Cloud and AI made building easier, but defensibility became harder.
Capital is abundant at the top, but selective everywhere else.
AI megadeals make the market look hot, but many founders still face a disciplined funding environment.
Valuations can still rise quickly, but liquidity remains the hidden constraint.
The fundamentals never disappeared.
Strong team.
Large market.
Differentiated product.
Customer demand.
Capital efficiency.
Clear milestones.
Trustworthy investors.
Good timing.
Operational discipline.
Those are still the foundation.
The next normal of venture capital is not about pessimism. It is about realism.
Founders should be ambitious, but not sloppy.
Fast, but not reckless.
AI-enabled, but not shallow.
Capital-seeking, but not capital-dependent.
Growth-minded, but not valuation-obsessed.
Remote-capable, but not culture-blind.
Fundraising-savvy, but customer-first.
The best founders will understand that venture capital is a tool, not the destination.
The point is not to raise money.
The point is to build a company that can turn money into proof, proof into trust, trust into growth, growth into durable value, and durable value into liquidity.
That is the next normal.
Not easy money.
Not panic.
Not hype.
A more demanding market that rewards founders who know what they are building, why now, who needs it, what capital proves, and which partners deserve a seat at the table.