How AI Can Help Startups Communicate and Raise Money Faster

0
36

Last year, Shopify CEO Tobi Lütke told employees that using AI effectively was now a “fundamental expectation”. Now he is warning against “slop grenades” – poorly checked AI-generated work that creates more work for everyone else. It is a neat example of the problem facing startups.

Nearly all use artificial intelligence (AI) in some capacity, but many are increasingly concerned: loss of authenticity and personal touch ranked as the top risk of overreliance on AI (64%), closely followed by reduced critical thinking and judgment (62%) in the latest Wonders and Blunders of PR & Communications in the Age of AI Research.  

It highlights the core trade-off: speed and scale versus trust. In the era of agentic AI, a careless system can spread an inaccurate claim, flatten a founder’s voice or produce the same generic pitch as everyone else.      

Join The European Business Briefing

New subscribers this quarter are entered into a draw to win a Rolex Submariner. Join 40,000+ founders, investors and executives who read EBM every day.

Subscribe

For a young company, that is a reputational risk as well as a missed opportunity. Investors, journalists, and AI-powered search tools form opinions from the information a startup publishes. If that information is inconsistent or unverifiable, automation only distributes the problem faster. 

Used with human oversight, however, AI can help small teams research their market, communicate earlier, and maintain the consistency that fundraising requires. 

“In an environment where everyone can generate a pitch deck, write a blog post, or produce a video, the real challenge is proving that you are relevant and can be trusted,” said Marina Levina, founder of WISH, global communication agency, based in Amsterdam.

The Wonders and Blunders study, based on input from more than 100 startups and around 40 investors, journalists and ecosystem experts, points to five practical rules, listed below.

Start communicating before you start fundraising 

Three-quarters of startups wait until they have traction or revenue before investing seriously in communications. Only 18% begin at pre-seed. That delay leaves founders trying to establish trust at the same moment they are asking for capital. 

AI can lower the cost of starting earlier. It can support market and media research, monitor sector developments, organise investor intelligence and turn technical material into clearer first drafts. The founder should still decide what the company stands for and approve every external claim.  

As Uday Thakar of Strategic Investment Partners puts it: “We believe the real work is finding founders before everyone else does. Communications play a crucial role in this and in tracking how they evolve over time. When founders keep us in the loop from day one, with regular updates and check-ins, it builds an additional layer of accountability and trust, and we feel part of their journey.”

Turn communications into a fundraising advantage 

The study found that 68% of startups judge the success of communication by visibility, while only 44% connect it to investor awareness or funding rounds. The mismatch can leave communications busy but commercially detached. 

AI can help teams research relevant investors, track portfolio themes, and tailor background material for different audiences. It can also maintain a disciplined record of outreach and follow-up. 

The goal is better evidence rather than more content: clear milestones, credible proof points and messages that explain why the company matters now. 

Nearly one-third of surveyed startups already spend up to half of their communications budgets on AI tools, and many expect that share to double. The return should therefore be measured against fundraising goals, not publishing volume. 

That means using AI to support investor mapping, message testing and preparation while keeping founder-to-investor contact personal. 

Use AI at speed, but keep humans accountable 

Up to 95% of surveyed startups use AI somewhere in their communications work. The efficiency is real, but scale without controls can expose a young company to avoidable reputational damage. 

AI is effective at processing information, finding patterns, and producing a workable first draft. It is less reliable when evidence is incomplete, context is sensitive, or a decision carries legal, financial, or reputational consequences. 

Respondents identified the main risks as data privacy concerns (64%), misinformation (62%), overdependence on technology (54%) and the loss of a distinctive voice (34%). 

Ran Wei Baker, Senior Director at Microsoft for Startups, argues that AI can help resource-constrained companies scale communications, but it should not replace authentic messaging. Founders still need to review the output and ensure it reflects the brand’s voice. 

Build a public record that both people and AI agents can trust 

Startup discovery is changing. Investors and journalists increasingly use AI-assisted tools to scan markets, compare companies, and prepare questions before a meeting. 

That makes a coherent public record more valuable: an accurate website, consistent positioning, visible founders and independent coverage that confirms the company’s claims. 

Giacomelli argues that traditional media remains a credibility signal, while financial media adds a further layer of scrutiny. AI agents can retrieve information, but founders still need reliable third-party evidence for those systems, and human readers, to find. 

The operating rule: automate the workload, not the judgment 

Personal relationships remain central to fundraising. “For investors, relationships are sometimes even more important than for clients. Trust, consistency, and personal contact often determine whether a conversation continues or stops,” said Katharina Farkas, investor at Startup Wise Guys. 

That suggests a simple division of labour: let AI handle research, monitoring, analysis and first drafts; keep strategy, verification, judgment and relationships with people. As Shaloo Garg of Microsoft for Startups observed, “AI deals with 80% of the volume while humans handle 80% of the value.”

LEAVE A REPLY

Please enter your comment!
Please enter your name here