আগামী ২ বছর আপনার জন্য একটা Goldmine

Summary

The speaker argues that the next few years may be a “goldmine” for people who adapt to AI. Success, however, will depend less on building products and more on earning trust, reaching customers, and finding short-lived opportunities.

Key analysis

• Major companies are converging on AI. The speaker contrasts earlier eras, when companies such as Amazon, Google, Facebook, Uber, and Apple pursued different technology markets, with today’s race. Companies including Google, Meta, Microsoft, and SpaceX are now investing in AI, while Nvidia supports the ecosystem by supplying computing resources. The speaker links this demand to pressure on chip availability and rising prices for some consumer electronics.

• AI is putting pressure on software and services. The speaker says small and medium-sized software products are particularly vulnerable because users can now recreate much of their functionality with AI. For example, he exported his Zapier automation history and asked AI to reproduce many of his workflows. He then cancelled a subscription that had cost him hundreds of dollars per month. He acknowledges that an AI-built alternative may not fully match the original, but argues that an adequate, cheaper solution may be enough for many businesses.

• Some service work may also be automated or reduced. The speaker gives graphic design as an example: a business might use Claude and Canva, along with a library of preferred images, to produce work that is good enough for its needs. Businesses may choose a lower-cost, “good enough” result over a more expensive professional service, especially when customers do not notice or mind the difference.

• AI-generated work is becoming more accepted. The speaker observes that people seem less likely than before to call out AI-generated content. He compares this shift to once-unusual habits, such as watching videos on a phone, becoming ordinary over time. He also says much AI-produced work is not visibly identifiable, citing his own website as an example.

• AI tools and trends quickly make one another obsolete. The speaker describes a rapid progression from prompt engineering to AI automation and then AI agents. He argues that capabilities once associated with dedicated tools or platforms are increasingly being absorbed into newer AI products, so skills focused only on a particular tool may quickly lose value.

Products and examples mentioned

• Zapier: An “if this, then that” automation service. The speaker says AI recreated much of his workflow from an exported Zap history, leading him to cancel his subscription.
• Shobdo: A transcription tool the speaker says he launched. He describes it as free and says it uses a Bengali language model he trained to improve Bengali transcription.
• Google Meet recording tool: A tool he says he built to address limitations in recording Meet calls, including access to recordings and the ability to download separate files. He compares the need with Riverside.fm, which he had previously used.
• Longest Road: An iOS app he says he launched and made available on the App Store.
• Claude and Canva: A possible combination for producing social media graphics using examples of designs the user likes.
• Open Interpreter, Hermes, Grok, Muse, ChatGPT, and Claude: Tools and products mentioned in the context of how quickly AI tools and capabilities are overtaken by newer offerings.

What the speaker recommends

1. Prioritize marketing and distribution. Building digital products is becoming easier, which means more products compete for attention. The speaker recommends putting roughly 80% of one’s effort into marketing and distribution rather than simply making more things.
2. Build trust and authority. A person’s reputation and ongoing visibility can help with investment, employment, and business opportunities—sometimes even beyond their specific technical skills.
3. Build selectively. Easy product creation can create a false sense of accomplishment. A product has meaningful value only if people use it, either because it meets real demand or because it is marketed and distributed effectively.
4. Look for arbitrage, but do not rely on it forever. AI-related knowledge gaps can create temporary opportunities. People who understand a tool or capability before others may be able to sell that knowledge or service, but the advantage can disappear once customers learn it themselves.
5. Consider offline-first businesses. The speaker predicts a possible offline boom in 2027–2029, with opportunities in events, communities, retreats, travel, dating, and entertainment. He frames this as a reaction to increasingly digital, phone-centered, and AI-driven life.

The speaker also warns against assuming AI will never be able to perform a particular task. He argues that AI capabilities have advanced quickly across website creation, software development, backends, and video editing, and expects further improvement.

Main speaker/source: Khalid Farhan, the video’s presenter.