Digital World

19/09/2026

Are deepfakes becoming one of the biggest digital trust challenges for businesses?

Deepfakes are not simply fake videos or cloned voices. They represent a much larger problem: the erosion of trust in digital information.

Imagine receiving a video message from your CEO asking for an urgent financial transfer.

The face looks right.
The voice sounds right.
The message appears authentic.

But none of it is real.

That is where the real danger of deepfakes begins.

How are deepfakes affecting businesses?

Deepfake technology can create realistic synthetic images, videos and audio. As these capabilities become more accessible, organizations need to consider several risks:

1. Executive impersonation

Attackers can potentially use synthetic voices or videos to impersonate executives and manipulate employees into making financial or operational decisions.

2. Financial fraud

A convincing voice or video can be combined with social-engineering techniques to make fraudulent requests appear legitimate.

3. Brand and reputation damage

A fabricated statement involving a company's CEO, employee or brand can spread rapidly before the organization has an opportunity to verify or respond.

4. Identity verification challenges

Traditional assumptions such as “I recognize this person’s voice” or “I saw them on video” are becoming less reliable.

5. Misinformation

Deepfakes can make false information appear credible, creating challenges for companies, governments, media organizations and individuals.

So, how can businesses protect themselves?

The answer isn't simply buying a deepfake-detection tool.

Businesses need a layered digital-trust strategy.

Build stronger identity verification

Sensitive activities should require multiple verification factors rather than relying on voice, video or appearance alone.

Establish independent verification

For high-value payments, credential changes or sensitive instructions, employees should independently verify the request through an established communication channel.

Train employees

Cybersecurity awareness programs should now include AI-generated voice, video and image manipulation.

Employees need to understand one important principle:

Familiarity is not authentication.

Use AI responsibly

AI-based detection technologies can help identify potentially manipulated content, but detection should be treated as one layer of defense—not an absolute guarantee.

Strengthen content provenance

Organizations should increasingly consider technologies and processes that help establish where digital content came from and whether it has been modified.

Prepare for incidents

Companies should have a predefined response process covering:

- Verification
- Internal escalation
- Evidence preservation
- Customer communication
- Legal and compliance review
- Public-response strategy

The bigger issue is trust

The deepfake era changes an important assumption about the internet.

For years, people often treated seeing and hearing as evidence.

That assumption is becoming weaker.

The future of digital security may therefore depend less on asking:

“Does this look real?”

and more on asking:

“Can we independently verify that this is authentic?”

That shift has major implications for cybersecurity, business operations, leadership, identity management and digital communication.

My perspective

The next phase of the AI revolution shouldn't be measured only by how convincingly AI can create content.

We should also measure our ability to verify, authenticate and trust that content.

AI can manufacture convincing reality.
Our systems must be capable of proving authenticity.

For business leaders, cybersecurity professionals and technology teams, digital trust should become a strategic priority—not an afterthought.

What do you think will be the most important defense against deepfakes: AI detection, employee education, stronger identity verification, or digital content provenance?

17/09/2026

AI isn’t the future of marketing anymore.
It is already changing the marketing playbook.

As a digital marketing professional, one shift I find particularly important is this:

The competitive advantage is moving from simply “using AI” to knowing how to use AI strategically.

The numbers make the shift difficult to ignore.

McKinsey reported in 2025 that 71% of organizations surveyed were regularly using generative AI in at least one business function, with marketing and sales among the areas seeing particularly strong adoption.

Salesforce’s 2026 State of Marketing research reports that 75% of marketers have adopted AI, while 85% say AI is reshaping their SEO strategy.

But adoption alone doesn't create a competitive advantage.

Ex*****on does.

Here is where I believe marketers need to rethink their approach:

1. AI should accelerate thinking—not replace it.

AI can generate 20 headlines.

It cannot automatically determine which headline best fits your brand, audience, market position and business objective.

2. Data needs context.

AI can identify patterns.

A marketer still needs to understand why those patterns matter and what action should follow.

3. Content needs a point of view.

LinkedIn itself emphasizes that AI-assisted content should still reflect the creator's own voice, perspective and experience. Generic, low-value AI content can weaken professional conversations.

That is especially important now.

When everyone can produce content faster, original thinking becomes more valuable—not less.

4. Search is changing.

Marketing is no longer only about ranking on traditional search engines.

Consumers are increasingly using AI-powered search and conversational tools to research products, services and brands. McKinsey estimates that AI-powered search could influence $750 billion in revenue by 2028.

That means marketers need to think beyond keywords.

They need to think about:

Authority → Relevance → Trust → Structured information → Brand visibility across AI-driven discovery.

My takeaway

I don't see AI as simply a tool for producing more marketing content.

I see it as an opportunity to build better marketing systems.

The marketers who create the most value will increasingly be those who can connect:

AI + Data + Creativity + Customer Psychology + SEO + Business Strategy

Technology can increase speed.

Strategy determines direction.

And in an environment where content can be generated in seconds, the question I keep coming back to is:

What unique insight can a human marketer bring that an AI system cannot simply reproduce?

That, in my view, is where the next generation of digital marketing leadership will be built.

17/09/2026

07/09/2026

Is “Good Leadership” Actually Making Some Organisations Weaker?

We are constantly told that great leaders should be empathetic, approachable, collaborative, supportive and emotionally intelligent.

I agree with most of it.

But there is a problem.

Leadership is not a popularity contest.

And sometimes, the behaviours employees describe as “great leadership” can actually become organisational weaknesses when taken too far.

Think about it.

A leader who always listens may create endless discussion.

A leader who always seeks consensus may delay critical decisions.

A leader who avoids confrontation may allow mediocre performance to continue.

A leader who is excessively empathetic may tolerate behaviour that damages the wider team.

And a leader who constantly protects employees from failure may accidentally prevent them from developing resilience.

Here is the uncomfortable part:

People don't always need a nicer leader.

Sometimes they need a leader who will say:

“No.”

“This standard is not acceptable.”

“You're responsible for fixing this.”

“I understand the circumstances, but the outcome still matters.”

That isn't necessarily toxic leadership.

Sometimes it is accountability.

The dangerous leadership paradox

The more a leader tries to make everyone comfortable, the greater the possibility that difficult truths remain unspoken.

Eventually:

comfort replaces candour.

Meetings become polite.

Problems become political.

Performance standards become negotiable.

And everyone knows something is wrong—but nobody wants to be the person who says it.

That's not psychological safety.

That's psychological avoidance.

But here's where I disagree with traditional “tough leadership” thinking too.

Fear is not leadership.

A leader who creates results by intimidation may achieve short-term compliance while destroying trust, creativity and information flow.

So perhaps the real distinction isn't:

Nice leader vs. tough leader.

It is:

Low standards vs. high standards.

A psychologically strong leader can be:

empathetic + demanding
approachable + decisive
humble + authoritative
supportive + uncompromising about standards

That's much harder than simply being “nice.”

Consider this scenario

Two employees make the same serious mistake.

Leader A says:

“It's okay. Mistakes happen. Don't worry about it.”

Leader B says:

“I understand why it happened. But let's identify exactly what failed, fix the process and make sure it doesn't happen again.”

Which leader is more compassionate?

At first glance, many people choose A.

But perhaps B is showing greater respect for the employee's ability to improve.

The leadership question we should ask

Instead of asking:

“Do employees like their leader?”

perhaps we should ask:

“Are employees becoming more capable because of their leader?”

That's a very different measurement.

A leader who makes everyone happy but creates dependency may be less valuable than a demanding leader who develops independent decision-makers.

My controversial take

The best leaders are not necessarily the leaders people enjoy working for every day.

They may be the leaders who make people:

- think more deeply,
- take greater ownership,
- confront uncomfortable facts,
- improve their standards,
- make decisions without constant supervision,
- and eventually become capable of outperforming their previous selves.

Leadership isn't about creating followers who need you.

It is about creating people who eventually don't.

And perhaps the ultimate leadership failure isn't having employees who disagree with you.

It's having employees who never dare to.

So let's debate this honestly:

Is modern leadership becoming too focused on empathy and employee comfort at the expense of accountability and performance—or are “tough leadership” advocates simply trying to repackage outdated authoritarian management?

I’d genuinely like to hear both sides.

06/09/2026

Is Your Business Actually Growing Digitally—or Are You Just “Online”?

A website.
A Google Business Profile.
Instagram.
Facebook.
Paid ads.
AI tools.

Your business may have all of them.

But if customers still struggle to find you, trust you, contact you, or choose you—do you really have a digital strategy?

This is the question more businesses should be asking.

One of the biggest mistakes businesses make today is treating digital marketing as a checklist:

Website ✓ Social media ✓ Google ✓ Advertising ✓ AI ✓

Everything looks complete.

Yet growth remains unpredictable.

Why?

Because digital presence and digital competitiveness are not the same thing.

A modern business needs a system where every digital activity contributes to a measurable customer journey:

Discovery → Trust → Conversation → Conversion → Retention → Referral

And that system should look different for every industry.

🏥 Healthcare

Don't start with:

“How can we get more patients?”

Start with:

“What information does a patient need before trusting us?”

Create educational content, expertise pages, FAQs, genuine reviews, transparent appointment information and useful local information.

Goal: Turn uncertainty into trust.

🏠 Real Estate

Don't compete only by posting more property photographs.

Build authority around the decision, not just the property.

Create neighbourhood guides, buyer checklists, market explainers, comparisons and financing education.

Goal: Become the advisor people research before contacting an agent.

🍽️ Restaurants

Don't measure success by followers.

Measure the journey:

Local discovery → Menu → Reviews → Reservation → Visit → Review

If customers repeatedly ask about parking, vegetarian options, family dining or special occasions, turn those questions into useful content.

Goal: Convert local intent into actual visits.

🏭 Manufacturing

Your website shouldn't simply say:

“We manufacture XYZ.”

Help engineers and procurement teams find specifications, applications, technical documentation, quality information, case studies and quotation pathways.

Goal: Turn your website into a sales-enablement system.

🎓 Education

Don't make every campaign:

“Admissions Open.”

Answer the questions students and parents are already asking:

Which course is right for me?
What skills will I learn?
What career opportunities exist?
What should I know before enrolling?

Goal: Turn expertise into your marketing engine.

💻 SaaS

Don't simply advertise features.

Show:

Problem → Workflow → Solution → Result

Instead of saying:

“Our platform uses AI automation.”

Show how a specific team could use it to eliminate a repetitive business process.

Goal: Demonstrate value instead of merely describing technology.

The 5-question digital stress test

Before spending another rupee on marketing, ask:

1. Can customers find us when they have a problem we solve?

2. Can they quickly understand why they should trust us?

3. Can they see evidence that we deliver?

4. Can they contact or buy from us without unnecessary friction?

5. Do we learn something from every customer interaction?

If several answers are “no,” increasing the advertising budget may simply send more people into a weak customer journey.

A practical 30-day challenge

Days 1–7: Search for your business like a stranger. Record what customers can—and cannot—find.

Days 8–14: Identify your 20 most common customer questions. Turn the best ones into FAQs, articles, videos or guides.

Days 15–21: Improve conversion points—calls, forms, bookings, enquiries, follow-ups and mobile experience.

Days 22–30: Measure:

Visibility → Engagement → Leads → Sales → Repeat Business

Then fix the weakest stage.

The bigger question

The future won't belong simply to businesses that “use AI.”

It will belong to businesses that understand where AI, data and digital channels actually create economic value.

A restaurant needs a different growth machine from a manufacturer.

A healthcare provider needs a different one from a SaaS company.

A real-estate agency needs a different one from an educational institution.

The technology may be similar.
The strategy shouldn't be.

So perhaps the better question isn't:

“What digital tools should my business use?”

It is:

“What customer journey should my business engineer—and how can technology make that journey faster, smarter and more trustworthy?”

That is where digital marketing stops being merely a promotional expense and becomes a business growth system.

What is the biggest digital-growth problem in your industry: visibility, trust, or conversion?

05/09/2026

Google Business Profile: The Digital Front Door of Every Business

In 2026, a Google Business Profile (GBP) is no longer just a listing—it has become a critical business asset influencing customer trust, local visibility, and AI-driven recommendations.

📊 What the research shows:

• 46% of Google searches have local intent, making local visibility a major growth driver for businesses.

• The Local Pack (Google Maps results) appears in approximately 93% of local searches, and attracts significant customer engagement.

• Fully completed business profiles can generate substantially higher customer interactions compared to incomplete profiles.

• Research analyzing 1.8 million Google Business Profiles found that complete and accurately categorized profiles consistently achieve stronger local rankings.

• Consumers increasingly verify businesses online before making decisions. Recent studies show 99% of consumers read reviews before visiting a business, while 72% are more likely to choose businesses that actively respond to reviews.

🔮 The Future of Google Business Profile

The future of local business discovery is being shaped by Artificial Intelligence.

• More than half of consumers now use AI tools to research local businesses.

• AI-powered platforms increasingly rely on Google Maps and Google Business Profile data when recommending businesses. Profiles with accurate information, strong reviews, updated photos, and active engagement are more likely to be surfaced in AI-generated recommendations.

• Businesses that actively manage and synchronize their digital information across online platforms achieve stronger local search performance and visibility.

The message is clear: Businesses that invest in accurate information, customer reviews, quality photos, regular updates, and strong digital credibility today will be better positioned for both Google Search and AI-driven discovery tomorrow.

📈 Visibility. Trust. AI Readiness. Growth.

05/09/2026

Latest Business Developments: What Are They Changing for Companies?

The business landscape is changing faster than ever. From AI-powered automation and digital transformation to changing customer expectations, rising operational costs, and new market opportunities, businesses are being forced to rethink how they operate and compete.

One of the biggest developments is the rapid adoption of Artificial Intelligence and intelligent automation. Companies are increasingly using AI for customer support, sales, marketing, financial analysis, inventory management, and decision-making. This can reduce repetitive work and improve efficiency—but it also creates new challenges around data security, workforce skills, transparency, and responsible AI governance.

At the same time, businesses are becoming more focused on profitability rather than simply growth. Companies are analyzing costs, improving revenue systems, strengthening customer retention, and looking for more efficient ways to convert opportunities into sustainable revenue.

How is this affecting businesses?

• Workforce: Employees need to develop new digital and AI-related skills.
• Customers: Expectations for faster, personalized service are increasing.
• Operations: Automation is becoming an important competitive advantage.
• Competition: Smaller businesses can use technology to compete with larger organizations.
• Decision-making: Real-time data is becoming increasingly important.
• Leadership: Businesses need to balance innovation with security, compliance, and risk management.

The biggest question is no longer “Should businesses adopt new technology?”

It is:

“How can businesses adopt new technology strategically while creating measurable business value?”

Companies that successfully combine technology, skilled people, strong processes, and customer-centric strategies may be better positioned to adapt to the next phase of business.

What business development do you think will have the biggest impact over the next 2–3 years: AI, automation, digital payments, or changing customer behavior?